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ingest: Observer-Admissible Cavities theory — radius-ratio → Pidgen-hole → S3C/Spherion → OAC
6 key concepts formalized: - Radius-ratio rule → admissible motif classifier (CN3-8 thresholds) - Pidgen-hole theory → typed hole + residual codec - S3C shell coordinates → n=k²+a with throat/mirror/mass - Spherion shaping → pyramid protrusions/voids as compression teeth - S_n(n^n) → Matryoshka shell with latent combinatorial interior - Observer-Admissible Cavities → touch-manifesting lazy holes 7 cross-references to existing modules, 4 new primitives identified. 7 keeper phrases preserved.
This commit is contained in:
Brandon Schneider
parent
5ad2e7f8bb
commit
cfcdd5e7e7
22 changed files with 1402 additions and 0 deletions
169
4-Infrastructure/shim/ingest_oac_theory.py
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169
4-Infrastructure/shim/ingest_oac_theory.py
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#!/usr/bin/env python3
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"""
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Ingest: Observer-Admissible Cavities & Radius-Ratio Compression Theory
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Maps the ChatGPT conversation into Research Stack database with
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cross-references to existing modules.
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"""
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import json, time
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from pathlib import Path
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RESEARCH_STACK = Path("/home/allaun/Documents/Research Stack")
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OAC_THEORY = {
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"id": "observer-admissible-cavities-theory",
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"source": "ChatGPT conversation — radius-ratio → Pidgen-hole → S3C/Spherion → OAC",
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"title": "Observer-Admissible Cavities: Latent Shaped Holes as Compression Primitives",
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"date": "2026-05-07",
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"summary": "Observer-Admissible Cavities (OACs) are latent shaped holes whose combinatorial interiors remain compressed until a lawful observer touches them. Admissible touches manifest routes; inadmissible touches manifest void scars. OACs create temporary exploration spaces that do not pollute the substrate address space — only receipts, accepted routes, and residuals commit.",
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"key_concepts": {
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"radius_ratio_rule": {
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"definition": "Cation/anion radius ratio predicts admissible coordination geometry (CN3=0.155, CN4=0.225, CN6=0.414, CN8=0.732)",
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"compression_analogue": "Local scale ratio → admissible motif class → decode rule + residual",
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"sources": ["LibreTexts 9.1", "Wikipedia cation-anion radius ratio", "MIT 12.108 lec4"]
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},
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"pidgen_hole_theory": {
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"definition": "Objects fall into typed admissible holes; compression stores hole_id + residual. A hole is compressive when L(hole) + L(residual) < L(raw).",
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"upgrade": "Radius-ratio gives holes typed geometry (not just buckets). S3C gives shell coordinates. Spherion gives surface shaping."
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},
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"s3c_shell_coordinates": {
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"definition": "n = k² + a, with mirror complement b⁰, next-shell tension b⁺, mass = a×b⁰, mirror_delta = a-b⁰",
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"compression_role": "Converts raw values into structured shell cavities with throat/boundary/asymmetry classification",
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"existing_module": "4-Infrastructure/shim/SPEC_SHEET_REFERENCE.md, S3C geometry docs"
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},
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"spherion_shaping": {
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"definition": "Resonant spherical surfaces with pyramid protrusions (positive) and voids (negative). High-Q = narrow confident prediction; low-Q = broad noisy prediction.",
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"compression_role": "Pyramid height = amplitude, base width = duration, slope = transition, asymmetry = skew, apex = precision. Negative pyramids = expected-but-missing features (void carrier).",
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"existing_module": "topology-resonance hierarchy doc, pyramid-spherion gear review"
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},
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"sn_nn": {
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"definition": "S_n(n^n): shaped shell with symbolic n^n combinatorial interior. Interior is latent — not materialized. Only selected route + residual paid.",
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"recursive_form": "S_n((S_{n-1})^n): recursive shell grammar — nth shell contains n choices of previous shell state",
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"compression_role": "Explosive interior bound behind compact shell descriptor"
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},
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"observer_admissible_cavity": {
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"definition": "OAC = (S_n, A_O, T, V, R, ε): latent cavity that only manifests under lawful observer touch",
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"touch_operator": "touch(O, OAC_i, q) → (S_i, r_i, ε_i, ρ_i) if admissible, (V_i, scar_i, ρ_i) otherwise",
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"address_space_rule": "OAC ⊄ A_substrate; only receipt, accepted route, and residual may commit",
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"temporary_exploration": "OACs create observer-scoped scratch manifolds that evaporate after gate decision — no substrate pollution"
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}
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},
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"compression_pipeline": [
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"raw bytes/tokens/graph nodes",
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"map to integer or local state n",
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"S3C split: k, a, b⁰, b⁺",
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"classify throat/boundary/asymmetry",
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"map to spherion mode σ",
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"add pyramid/void shaping h",
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"emit S_n codon",
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"emit residual",
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"entropy-code streams separately"
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],
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"output_streams": [
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"shell indices k",
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"offsets a",
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"throat/mass classes",
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"shape modes",
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"void/protrusion masks",
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"residual bytes"
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],
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"admissibility_gate": {
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"accept": "L(S_n) + L(route) + L(ε) < L(x)",
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"reject": "void scar + FAMM memory + down-ranked prior",
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"existing_module": "MS3C GCL admissibility wrapper, FAMM failure-memory compression"
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},
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"keeper_phrases": [
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"A compressive hole is a lawful cavity whose residual is cheaper than the thing it absorbs.",
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"S3C gives the pigeon a lawful shell; Spherion shaping gives the hole teeth, voids, and resonance.",
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"S_n(n^n) is a Matryoshka shell: externally small, internally combinatorial, decoded only along lawful routed paths.",
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"Do not store the n^n interior. Store the shaped shell, the void field, the selected route, and the residual.",
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"The holes are lazy. They do not exist as expanded objects; they exist as lawful cavities with manifestation rules.",
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"Observer-Admissible Cavities create temporary exploration manifolds whose interiors do not occupy substrate address space.",
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"OACs let the system think in holes without storing every hole it thinks through."
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],
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"cross_references": {
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"existing_modules": {
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"pist_biological_polymorphic_shifter_v3_complete.py": "PIST nD bundle encode/decode — direct S3C shell mapping target",
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"topological_state_machine.py": "State transitions → touch operations on OACs",
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"hdmi_computational_shell.py": "Shell computation surface → OAC manifestation target",
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"FixedPoint.lean": "Q16.16 arithmetic for mass/mirror_delta/throat classification",
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"NDimensionalGeneHypothesis.md": "Gene as n-D information structure → OAC as gene-analogue cavity",
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"famm_verilator_bench.v": "FAMM preshaped delays → OAC route latency model",
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"prover_orchestration_layer.py": "L0-L3 pipeline → OAC touch/gate/commit pipeline"
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},
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"new_primitives_needed": [
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"OAC.lean — Lean 4 formalization of Observer-Admissible Cavities",
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"s3c_shell_codec.py — S3C shell coordinate encoder/decoder",
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"spherion_shape_quantizer.py — Pyramid/void field classifier",
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"oac_touch_gate.py — Touch operator with GCL admissibility check"
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]
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},
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"metadata": {
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"ingested_at": time.time(),
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"tags": [
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"observer-admissible-cavities", "radius-ratio", "coordination-geometry",
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"pidgen-hole-theory", "s3c-shells", "spherion-shaping",
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"compression-theory", "lazy-manifestation", "substrate-separation",
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"temporary-exploration", "admissibility-gate", "void-carrier"
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]
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}
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}
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def ingest():
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germane_dir = RESEARCH_STACK / "shared-data/data/germane/research"
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germane_dir.mkdir(parents=True, exist_ok=True)
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out_path = germane_dir / "observer_admissible_cavities_theory.json"
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with open(out_path, 'w') as f:
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json.dump(OAC_THEORY, f, indent=2)
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print(f"✓ Ingested: {out_path}")
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# Update index
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index_path = germane_dir / "research_ingestion_index.json"
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index = []
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if index_path.exists():
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with open(index_path) as f:
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index = json.load(f)
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index.append({
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"id": OAC_THEORY["id"],
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"title": OAC_THEORY["title"],
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"date": OAC_THEORY["date"],
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"source": OAC_THEORY["source"],
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"ingested_at": OAC_THEORY["metadata"]["ingested_at"],
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"tags": OAC_THEORY["metadata"]["tags"],
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})
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with open(index_path, 'w') as f:
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json.dump(index, f, indent=2)
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print(f"✓ Index: {len(index)} entries")
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print(f"\nKey concepts ingested:")
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for name, concept in OAC_THEORY["key_concepts"].items():
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print(f" • {name}: {concept['definition'][:80]}...")
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print(f"\nCross-references to existing modules:")
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for module, role in OAC_THEORY["cross_references"]["existing_modules"].items():
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print(f" ↔ {module}: {role[:70]}...")
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print(f"\nNew primitives needed:")
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for p in OAC_THEORY["cross_references"]["new_primitives_needed"]:
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print(f" + {p}")
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print(f"\nKeeper phrases ({len(OAC_THEORY['keeper_phrases'])}):")
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for phrase in OAC_THEORY["keeper_phrases"]:
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print(f" → {phrase}")
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if __name__ == "__main__":
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ingest()
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550
5-Applications/scripts/wiki_builder_shim.py
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5-Applications/scripts/wiki_builder_shim.py
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#!/usr/bin/env python3
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"""Wiki Builder Shim — Accelerates the raw→wiki→maintenance research loop.
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Mirrors the Wiki Builder pattern (dair.ai academy) adapted to the Research Stack's
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existing ingestion + tiddlywiki infrastructure. Does three things:
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1. SCAN — maps raw source material to existing wiki coverage
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2. BUILD — compiles raw sources into draft .tid files with provenance
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3. LINT — finds thin pages, missing backlinks, and uncompiled raw notes
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Source directories scanned by default:
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- /home/allaun/Documents/ingest/ (Kimi JSONs, chat dumps, papers)
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- shared-data/data/germane/research/ (ingested research articles)
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- 6-Documentation/chat-log-dumps/ (raw conversation logs)
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Existing .tid files are checked for provenance markers ([[Durable Source]])
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and cross-linked back to source material.
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Usage:
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python wiki_builder_shim.py scan # show coverage gaps
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python wiki_builder_shim.py build --dry # preview what would be generated
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python wiki_builder_shim.py build # compile new tiddlers from sources
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python wiki_builder_shim.py lint # find thin pages, orphans, missing links
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python wiki_builder_shim.py sources # (re)build sources.md provenance spine
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"""
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from __future__ import annotations
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import argparse
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import hashlib
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import json
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import os
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import re
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import sys
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import time
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from collections import Counter, defaultdict
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from dataclasses import dataclass
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from pathlib import Path
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from textwrap import dedent
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from typing import Any
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REPO_ROOT = Path(__file__).resolve().parents[2]
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TIDDLER_DIR = REPO_ROOT / "6-Documentation" / "tiddlywiki-local" / "wiki" / "tiddlers"
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SOURCES_MD = TIDDLER_DIR.parent / "sources.md"
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PROMPTS_DIR = TIDDLER_DIR.parent / "prompts"
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SKIP_FILE = TIDDLER_DIR.parent / "wbs_skip.txt"
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SOURCE_DIRS = [
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Path("/home/allaun/Documents/ingest"),
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REPO_ROOT / "shared-data" / "data" / "germane" / "research",
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REPO_ROOT / "6-Documentation" / "chat-log-dumps",
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REPO_ROOT / "6-Documentation" / "articles",
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]
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LINK_RE = re.compile(r"\[\[([^\[\]\n|#]+)(?:[#|][^\[\]\n]*)?\]\]")
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SOURCE_RE = re.compile(r"`([^`]+)`", re.MULTILINE)
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TITLE_RE = re.compile(r"^title:\s*(.+)$", re.MULTILINE)
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TAGS_RE = re.compile(r"^tags:\s*(.+)$", re.MULTILINE)
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AXIS_KEYWORDS: dict[str, list[str]] = {
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"compression": ["compression", "hutter", "gcl", "delta", "metafoam", "codec", "shifter", "decompressor"],
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"physics": ["physics", "pde", "navier", "stokes", "burgers", "yang", "mills", "rg flow", "renormalization"],
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"neural": ["neural", "semantic", "manifold", "embedding", "concept vector", "eigenvector"],
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"lean": ["lean", "proof", "theorem", "formal", "lake", "q16_16", "fixed point"],
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"market": ["market", "hutter prize", "compression prize", "benchmark", "record"],
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"safety": ["safety", "invariant", "security", "audit", "warden", "extremophile"],
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"hardware": ["fpga", "asic", "hdmi", "gpu", "webgpu", "wgsl", "verilog", "tapeout"],
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"signal": ["signal", "dsp", "morphic", "waveprobe", "famm", "spectral"],
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"bio": ["biology", "genetic", "codon", "dna", "rna", "peptide", "hachimoji", "genome"],
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"decision": ["routing", "decision", "sigma gate", "admissibility", "mass number", "sluq"],
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"archive": ["archive", "wiki", "tiddler", "documentation", "index"],
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"sovereign": ["sovereign", "attestation", "receipt", "provenance"],
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}
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NOW_TS = "20260507000000000"
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def slugify(text: str) -> str:
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s = text.lower().strip()
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s = re.sub(r"[^a-z0-9._ -]+", "", s)
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s = re.sub(r"\s+", "_", s).strip("_")
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return s[:60] if s else "untitled"
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def sha256_text(text: str) -> str:
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return hashlib.sha256(text.encode("utf-8")).hexdigest()
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def concept_vector_14(title: str, body: str, tags: list[str]) -> list[float]:
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"""14D vector from keyword axis activation (mirrors tiddlywiki_ene_bridge pattern)."""
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combined = f"{title}\n{body}\n{' '.join(tags)}".lower()
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axes = [0.0] * 14
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for i, (_, keywords) in enumerate(AXIS_KEYWORDS.items()):
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score = sum(combined.count(kw.lower()) for kw in keywords)
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axes[i] = min(1.0, score / max(1, len(keywords)))
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if not any(axes):
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axes[7] = 1.0
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norm = sum(x * x for x in axes) ** 0.5
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return [round(x / norm, 6) if norm else 0.0 for x in axes]
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@dataclass
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class SourceEntry:
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path: Path
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basename: str
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kind: str # "kimi_json" | "chatgpt_md" | "article" | "research_article" | "unknown"
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title: str
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url: str
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size_kb: int
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msg_count: int
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sha256: str
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matched_tiddlers: list[str]
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@dataclass
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class TiddlerInfo:
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path: Path
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title: str
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tags: list[str]
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links: list[str]
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sources: list[str]
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body_bytes: int
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link_count: int
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backlink_count: int
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@dataclass
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class LintResult:
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orphans: list[str] # tiddlers with zero backlinks
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stubs: list[str] # tiddlers with <200 bytes body
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no_sources: list[str] # tiddlers without [[Durable Source]] references
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uncompiled_sources: list[str] # source files with zero matched tiddlers
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dead_links: list[tuple[str, str]] # (tiddler, linked_title) — link targets no page
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def scan_sources(limit: int = 200) -> list[SourceEntry]:
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"""Scan source directories and match against existing tiddlers."""
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existing_tiddlers = _load_existing_tiddlers()
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entries: list[SourceEntry] = []
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for src_dir in SOURCE_DIRS:
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if not src_dir.exists():
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continue
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for fpath in sorted(src_dir.rglob("*"), key=lambda p: p.stat().st_size, reverse=True)[:limit]:
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if fpath.is_dir() or fpath.name.startswith("."):
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continue
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try:
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entry = _classify_source(fpath, existing_tiddlers)
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if entry:
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entries.append(entry)
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except Exception:
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continue
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return sorted(entries, key=lambda e: e.size_kb, reverse=True)
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def _classify_source(fpath: Path, tiddlers: dict[str, TiddlerInfo]) -> SourceEntry | None:
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basename = fpath.name
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suffix = fpath.suffix.lower()
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SKIP_EXTS = {".zip", ".png", ".jpg", ".jpeg", ".gif", ".svg", ".pyc", ".pkl",
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".parquet", ".csv", ".tsv", ".log", ".bin", ".o", ".so", ".dll",
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".ipynb", ".tgz", ".gz", ".bz2", ".xz", ".lock", ".toml", ".cfg",
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".ini", ".cff", ".lean", ".scad", ".asm", ".v", ".c", ".rs",
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".jsonl"}
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SKIP_NAMES = {"CITATION", "metadata", "categories", "build manifest",
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"manifest", "articles", "package.json", ".gitignore"}
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if suffix in SKIP_EXTS or basename in SKIP_NAMES or basename.startswith("."):
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return None
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size_kb = fpath.stat().st_size // 1024
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body = ""
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title = ""
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url = ""
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msg_count = 0
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if fpath.suffix == ".json" and basename.startswith("Kimi-"):
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try:
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d = json.loads(fpath.read_text(encoding="utf-8", errors="replace"))
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title = d.get("title", basename)
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url = d.get("url", "")
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msgs = d.get("messages", [])
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msg_count = len(msgs)
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for m in msgs:
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if m.get("role") == "user" and not body:
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body = str(m.get("content", ""))[:2000]
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except (json.JSONDecodeError, KeyError):
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body = fpath.read_text(encoding="utf-8", errors="replace")[:2000]
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kind = "kimi_json"
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elif fpath.suffix == ".md" or fpath.suffix == ".txt":
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text = fpath.read_text(encoding="utf-8", errors="replace")
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body = text[:2000]
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for line in text.split("\n")[:20]:
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if line.startswith("# ") and not title:
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title = line[2:].strip()
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kind = "chatgpt_md"
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elif fpath.suffix == ".json":
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text = fpath.read_text(encoding="utf-8", errors="replace")
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body = text[:2000]
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kind = "research_article"
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elif fpath.suffix == ".pdf":
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kind = "article"
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title = fpath.stem
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else:
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kind = "unknown"
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if not title and basename:
|
||||
title = basename.rsplit(".", 1)[0].replace("_", " ").replace("-", " ")
|
||||
|
||||
sha = sha256_text(body) if body else sha256_text(basename)
|
||||
|
||||
matched = []
|
||||
title_words: set[str] = set(re.findall(r"[a-z0-9]{3,}", slugify(title)))
|
||||
|
||||
def _overlap(a: str, b: str) -> float:
|
||||
wa = set(re.findall(r"[a-z0-9]{3,}", slugify(a)))
|
||||
wb = set(re.findall(r"[a-z0-9]{3,}", slugify(b)))
|
||||
if not wa or not wb:
|
||||
return 0.0
|
||||
return len(wa & wb) / min(len(wa), len(wb))
|
||||
|
||||
for tid_title, info in tiddlers.items():
|
||||
score = _overlap(title, tid_title)
|
||||
if score >= 0.5:
|
||||
matched.append(tid_title)
|
||||
elif score >= 0.3:
|
||||
tag_text = " ".join(info.tags)
|
||||
if _overlap(title, tag_text) >= 0.3 or _overlap(basename, tag_text) >= 0.3:
|
||||
matched.append(tid_title)
|
||||
|
||||
return SourceEntry(fpath, basename, kind, title, url, size_kb, msg_count, sha, matched)
|
||||
|
||||
|
||||
def _load_existing_tiddlers() -> dict[str, TiddlerInfo]:
|
||||
tiddlers: dict[str, TiddlerInfo] = {}
|
||||
if not TIDDLER_DIR.exists():
|
||||
return tiddlers
|
||||
for tp in TIDDLER_DIR.glob("*.tid"):
|
||||
text = tp.read_text(encoding="utf-8", errors="replace")
|
||||
tmatch = TITLE_RE.search(text)
|
||||
title = tmatch.group(1).strip() if tmatch else tp.stem
|
||||
tags = []
|
||||
tmatch2 = TAGS_RE.search(text)
|
||||
if tmatch2:
|
||||
tags = [t.strip() for t in tmatch2.group(1).split()]
|
||||
links = LINK_RE.findall(text)
|
||||
sources = SOURCE_RE.findall(text)
|
||||
body = text.split("\n\n", 1)[-1] if "\n\n" in text else text
|
||||
tiddlers[title] = TiddlerInfo(tp, title, tags, links, sources, len(body.encode()), len(links), 0)
|
||||
|
||||
for title, info in list(tiddlers.items()):
|
||||
backlinks = sum(1 for t, i in tiddlers.items() if title in i.links)
|
||||
tiddlers[title] = TiddlerInfo(info.path, title, info.tags, info.links, info.sources, info.body_bytes, info.link_count, backlinks)
|
||||
|
||||
return tiddlers
|
||||
|
||||
|
||||
def preview_build(sources: list[SourceEntry]) -> list[dict]:
|
||||
"""Show what tiddlers would be created for uncovered sources."""
|
||||
tiddlers = _load_existing_tiddlers()
|
||||
plans: list[dict] = []
|
||||
|
||||
for src in sources:
|
||||
if src.matched_tiddlers:
|
||||
continue
|
||||
plans.append(_draft_tiddler_plan(src, tiddlers))
|
||||
|
||||
return plans
|
||||
|
||||
|
||||
def execute_build(sources: list[SourceEntry], dry_run: bool = False) -> int:
|
||||
"""Compile new tiddlers from uncovered sources."""
|
||||
tiddlers = _load_existing_tiddlers()
|
||||
created = 0
|
||||
|
||||
for src in sources:
|
||||
if src.matched_tiddlers:
|
||||
continue
|
||||
plan = _draft_tiddler_plan(src, tiddlers)
|
||||
if not plan:
|
||||
continue
|
||||
|
||||
fname = f"{plan['title']}.tid"
|
||||
fpath = TIDDLER_DIR / fname
|
||||
|
||||
content = plan["content"]
|
||||
|
||||
if dry_run:
|
||||
print(f"[DRY] would create: {fname} ({plan['size_kb']}KB source, {plan['msg_count']} msgs)")
|
||||
continue
|
||||
|
||||
fpath.write_text(content, encoding="utf-8")
|
||||
created += 1
|
||||
|
||||
if dry_run:
|
||||
print(f"\nWould create {created} new tiddlers from {len(sources)} sources (dry run)")
|
||||
else:
|
||||
print(f"Created {created} new tiddlers from {len(sources)} sources")
|
||||
return created
|
||||
|
||||
|
||||
def _draft_tiddler_plan(src: SourceEntry, tiddlers: dict[str, TiddlerInfo]) -> dict | None:
|
||||
if src.kind == "unknown" or not src.title:
|
||||
return None
|
||||
|
||||
tags = _infer_tags(src.title, src.kind)
|
||||
vector = concept_vector_14(src.title, "", tags)
|
||||
|
||||
related = [t for t in tiddlers if any(
|
||||
kw.lower() in (t + " ".join(tiddlers[t].tags)).lower()
|
||||
for kw in src.title.lower().split()[:3]
|
||||
)][:5]
|
||||
|
||||
content = f"""\
|
||||
created: {NOW_TS}
|
||||
modified: {NOW_TS}
|
||||
tags: ResearchStack {" ".join(tags)}
|
||||
title: {src.title}
|
||||
type: text/vnd.tiddlywiki
|
||||
|
||||
! {src.title}
|
||||
|
||||
[Auto-compiled from source material. Review and expand.]
|
||||
|
||||
!! Source Context
|
||||
|
||||
* Type: {src.kind.replace('_', ' ')}
|
||||
* Size: {src.size_kb} KB
|
||||
* Messages: {src.msg_count}
|
||||
* Source hash: `{src.sha256[:16]}`
|
||||
{"* Original URL: " + src.url if src.url else ""}
|
||||
|
||||
!! Durable Source
|
||||
|
||||
`{src.path}`
|
||||
|
||||
!! Related
|
||||
|
||||
{chr(10).join(f"* [[{r}]]" for r in related) if related else "* (none yet)"}
|
||||
"""
|
||||
return {
|
||||
"title": src.title,
|
||||
"content": content,
|
||||
"size_kb": src.size_kb,
|
||||
"msg_count": src.msg_count,
|
||||
}
|
||||
|
||||
|
||||
def _infer_tags(title: str, kind: str) -> list[str]:
|
||||
tags: list[str] = []
|
||||
lower = title.lower()
|
||||
for axis, keywords in AXIS_KEYWORDS.items():
|
||||
if any(kw.lower() in lower for kw in keywords):
|
||||
tags.append(axis)
|
||||
if kind == "kimi_json":
|
||||
tags.append("Kimi")
|
||||
elif kind == "chatgpt_md":
|
||||
tags.append("ChatGPT")
|
||||
tags.append("Conversation")
|
||||
if not tags:
|
||||
tags.append("ResearchStack")
|
||||
return sorted(set(tags))
|
||||
|
||||
|
||||
def lint_wiki() -> LintResult:
|
||||
tiddlers = _load_existing_tiddlers()
|
||||
|
||||
orphans = [t for t, i in tiddlers.items() if i.backlink_count == 0 and not t.startswith("$__")]
|
||||
stubs = [t for t, i in tiddlers.items() if i.body_bytes < 200 and not t.startswith("$__")]
|
||||
no_sources = [t for t, i in tiddlers.items() if not i.sources and not t.startswith("$__")]
|
||||
|
||||
uncompiled: list[str] = []
|
||||
for src_dir in SOURCE_DIRS:
|
||||
if not src_dir.exists():
|
||||
continue
|
||||
for fpath in src_dir.rglob("*"):
|
||||
if fpath.is_dir() or fpath.name.startswith("."):
|
||||
continue
|
||||
matched = any(
|
||||
str(fpath) in " ".join(i.sources) or fpath.name in " ".join(i.sources)
|
||||
for i in tiddlers.values()
|
||||
)
|
||||
if not matched and fpath.suffix in (".json", ".md", ".txt", ".pdf"):
|
||||
uncompiled.append(str(fpath))
|
||||
|
||||
dead_links: list[tuple[str, str]] = []
|
||||
for title, info in tiddlers.items():
|
||||
for link in info.links:
|
||||
if link not in tiddlers:
|
||||
dead_links.append((title, link))
|
||||
|
||||
return LintResult(orphans, stubs, no_sources, uncompiled, dead_links)
|
||||
|
||||
|
||||
def build_sources_md() -> str:
|
||||
"""Generate the sources.md provenance spine."""
|
||||
sources = scan_sources(limit=300)
|
||||
tiddlers = _load_existing_tiddlers()
|
||||
|
||||
lines = [
|
||||
"# Research Stack — Source Provenance Spine\n",
|
||||
f"Generated: {time.strftime('%Y-%m-%d %H:%M')}\n",
|
||||
f"Sources scanned: {len(sources)}",
|
||||
f"Tiddlers compiled: {len(tiddlers)}\n",
|
||||
"## Covered Sources (have matching tiddlers)\n",
|
||||
]
|
||||
|
||||
covered = [s for s in sources if s.matched_tiddlers]
|
||||
for s in covered:
|
||||
lines.append(f"- **{s.title}** ({s.kind}, {s.size_kb}KB) → {', '.join(f'[[{t}]]' for t in s.matched_tiddlers)}")
|
||||
|
||||
lines.append("\n## Uncovered Sources (no tiddlers yet)\n")
|
||||
uncovered = [s for s in sources if not s.matched_tiddlers]
|
||||
for s in uncovered:
|
||||
lines.append(f"- {s.title} ({s.kind}, {s.size_kb}KB) — `{s.path}`")
|
||||
|
||||
lines.append("\n## Maintenance Log\n")
|
||||
lines.append(f"| Date | Action | Detail |")
|
||||
lines.append(f"|------|--------|--------|")
|
||||
lines.append(f"| {time.strftime('%Y-%m-%d')} | sources.md generated | {len(coverage:=covered)} covered, {len(uncovered)} uncovered |")
|
||||
|
||||
return "\n".join(lines)
|
||||
|
||||
|
||||
def main() -> int:
|
||||
parser = argparse.ArgumentParser(description="Wiki Builder Shim — raw→wiki→maintenance loop")
|
||||
parser.add_argument("mode", choices=["scan", "build", "lint", "sources"],
|
||||
help="Operation mode")
|
||||
parser.add_argument("--dry", action="store_true", help="Dry run for build mode")
|
||||
parser.add_argument("--limit", type=int, default=200, help="Max sources to scan")
|
||||
parser.add_argument("--json", action="store_true", help="JSON output (scan/lint modes)")
|
||||
args = parser.parse_args()
|
||||
|
||||
if args.mode == "scan":
|
||||
sources = scan_sources(limit=args.limit)
|
||||
if args.json:
|
||||
out = [{"title": s.title, "kind": s.kind, "size_kb": s.size_kb,
|
||||
"msgs": s.msg_count, "matched": s.matched_tiddlers, "path": str(s.path)}
|
||||
for s in sources]
|
||||
print(json.dumps(out, indent=2))
|
||||
else:
|
||||
covered = sum(1 for s in sources if s.matched_tiddlers)
|
||||
uncovered = len(sources) - covered
|
||||
print(f"Sources scanned: {len(sources)} | Covered: {covered} | Uncovered: {uncovered}\n")
|
||||
for s in sources:
|
||||
status = f"→ {', '.join(s.matched_tiddlers[:3])}" if s.matched_tiddlers else "[UNCOVERED]"
|
||||
print(f" {s.size_kb:>5}KB {s.kind:<16} {s.title[:60]:60s} {status}")
|
||||
return 0
|
||||
|
||||
if args.mode == "build":
|
||||
sources = scan_sources(limit=args.limit)
|
||||
count = execute_build(sources, dry_run=args.dry)
|
||||
return 0 if count >= 0 else 1
|
||||
|
||||
if args.mode == "lint":
|
||||
result = lint_wiki()
|
||||
if args.json:
|
||||
print(json.dumps({
|
||||
"orphans": result.orphans,
|
||||
"stubs": result.stubs,
|
||||
"no_sources": result.no_sources,
|
||||
"uncompiled_sources": result.uncompiled_sources[:50],
|
||||
"dead_links": [[a, b] for a, b in result.dead_links[:50]],
|
||||
}, indent=2))
|
||||
else:
|
||||
print(f"=== Wiki Lint Report ===\n")
|
||||
print(f"Orphans (zero backlinks): {len(result.orphans)}")
|
||||
for t in result.orphans[:20]:
|
||||
print(f" - {t}")
|
||||
print(f"\nStubs (<200 bytes): {len(result.stubs)}")
|
||||
for t in result.stubs[:20]:
|
||||
print(f" - {t}")
|
||||
print(f"\nNo Durable Source refs: {len(result.no_sources)}")
|
||||
for t in result.no_sources[:20]:
|
||||
print(f" - {t}")
|
||||
print(f"\nUncompiled sources: {len(result.uncompiled_sources)}")
|
||||
for s in result.uncompiled_sources[:20]:
|
||||
print(f" - {s}")
|
||||
print(f"\nDead links: {len(result.dead_links)}")
|
||||
for t, link in result.dead_links[:20]:
|
||||
print(f" - [[{t}]] → [[{link}]] (missing)")
|
||||
return 0
|
||||
|
||||
if args.mode == "sources":
|
||||
md = build_sources_md()
|
||||
SOURCES_MD.parent.mkdir(parents=True, exist_ok=True)
|
||||
SOURCES_MD.write_text(md, encoding="utf-8")
|
||||
PROMPTS_DIR.mkdir(parents=True, exist_ok=True)
|
||||
_write_prompt_files()
|
||||
print(f"Wrote: {SOURCES_MD}")
|
||||
print(f"Wrote prompt files to: {PROMPTS_DIR}")
|
||||
return 0
|
||||
|
||||
return 1
|
||||
|
||||
|
||||
def _write_prompt_files() -> None:
|
||||
PROMPTS_DIR.mkdir(parents=True, exist_ok=True)
|
||||
|
||||
compile_source = dedent("""\
|
||||
# Compile Source Page Prompt
|
||||
|
||||
Given a raw source file (conversation dump, article, paper),
|
||||
produce a single tiddlywiki page that:
|
||||
|
||||
1. Summarizes the key claims in 2-3 bullet points
|
||||
2. Links to at least 3 existing wiki pages if relevant concepts exist
|
||||
3. Includes a [[Durable Source]] reference pointing back to the raw file
|
||||
4. Uses appropriate tags from the ResearchStack taxonomy
|
||||
5. Marks speculative claims with (?) prefix
|
||||
|
||||
Source file: {path}
|
||||
Source type: {kind}
|
||||
Source size: {size_kb} KB
|
||||
""")
|
||||
|
||||
lint_wiki_prompt = dedent("""\
|
||||
# Lint Wiki Prompt
|
||||
|
||||
Review the entire tiddlywiki for quality issues:
|
||||
|
||||
1. Pages with <200 bytes of body text (stubs) — flag for expansion
|
||||
2. Pages with zero inbound links (orphans) — suggest link targets
|
||||
3. Pages without [[Durable Source]] references — add provenance
|
||||
4. Dead links pointing to nonexistent pages — suggest targets or remove
|
||||
5. Source files in raw/ that have no compiled wiki page — flag for compilation
|
||||
|
||||
Report format: table of {page, issue type, suggested fix}
|
||||
""")
|
||||
|
||||
query_and_file = dedent("""\
|
||||
# Query and File Prompt
|
||||
|
||||
When answering a question about the Research Stack:
|
||||
|
||||
1. Search existing wiki pages for relevant information first
|
||||
2. If the answer involves a concept not yet in the wiki, draft a new page
|
||||
3. File the answer as a wiki/question/ page with the question as context
|
||||
4. Link the answer back to at least one existing concept page
|
||||
5. Add a maintenance log entry recording the query and its resolution
|
||||
""")
|
||||
|
||||
(PROMPTS_DIR / "compile-source.md").write_text(compile_source, encoding="utf-8")
|
||||
(PROMPTS_DIR / "lint-wiki.md").write_text(lint_wiki_prompt, encoding="utf-8")
|
||||
(PROMPTS_DIR / "query-and-file.md").write_text(query_and_file, encoding="utf-8")
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
raise SystemExit(main())
|
||||
|
|
@ -0,0 +1,14 @@
|
|||
# Compile Source Page Prompt
|
||||
|
||||
Given a raw source file (conversation dump, article, paper),
|
||||
produce a single tiddlywiki page that:
|
||||
|
||||
1. Summarizes the key claims in 2-3 bullet points
|
||||
2. Links to at least 3 existing wiki pages if relevant concepts exist
|
||||
3. Includes a [[Durable Source]] reference pointing back to the raw file
|
||||
4. Uses appropriate tags from the ResearchStack taxonomy
|
||||
5. Marks speculative claims with (?) prefix
|
||||
|
||||
Source file: {path}
|
||||
Source type: {kind}
|
||||
Source size: {size_kb} KB
|
||||
11
6-Documentation/tiddlywiki-local/wiki/prompts/lint-wiki.md
Normal file
11
6-Documentation/tiddlywiki-local/wiki/prompts/lint-wiki.md
Normal file
|
|
@ -0,0 +1,11 @@
|
|||
# Lint Wiki Prompt
|
||||
|
||||
Review the entire tiddlywiki for quality issues:
|
||||
|
||||
1. Pages with <200 bytes of body text (stubs) — flag for expansion
|
||||
2. Pages with zero inbound links (orphans) — suggest link targets
|
||||
3. Pages without [[Durable Source]] references — add provenance
|
||||
4. Dead links pointing to nonexistent pages — suggest targets or remove
|
||||
5. Source files in raw/ that have no compiled wiki page — flag for compilation
|
||||
|
||||
Report format: table of {page, issue type, suggested fix}
|
||||
|
|
@ -0,0 +1,9 @@
|
|||
# Query and File Prompt
|
||||
|
||||
When answering a question about the Research Stack:
|
||||
|
||||
1. Search existing wiki pages for relevant information first
|
||||
2. If the answer involves a concept not yet in the wiki, draft a new page
|
||||
3. File the answer as a wiki/question/ page with the question as context
|
||||
4. Link the answer back to at least one existing concept page
|
||||
5. Add a maintenance log entry recording the query and its resolution
|
||||
330
6-Documentation/tiddlywiki-local/wiki/sources.md
Normal file
330
6-Documentation/tiddlywiki-local/wiki/sources.md
Normal file
|
|
@ -0,0 +1,330 @@
|
|||
# Research Stack — Source Provenance Spine
|
||||
|
||||
Generated: 2026-05-07 00:38
|
||||
|
||||
Sources scanned: 312
|
||||
Tiddlers compiled: 167
|
||||
|
||||
## Covered Sources (have matching tiddlers)
|
||||
|
||||
- **Session: Tardygrada + Lambda_B + Patent Setup — 2026-04-04** (chatgpt_md, 2726KB) → [[Local Setup Notes]]
|
||||
- **Abelian_Sandpile_Model1** (article, 1460KB) → [[Hybrid Abelian Non-Abelian Sandpile]]
|
||||
- **Attention Center Equation Derivation** (kimi_json, 1190KB) → [[Kimi-Attention Center Equation Derivation]], [[Kimi-Equation Derivation from Zenodo]]
|
||||
- **chatgpt 4 10 2026** (chatgpt_md, 634KB) → [[Deep Mining Pass 2026-05-06]]
|
||||
- **chatgpt 4 11 2026** (chatgpt_md, 535KB) → [[Deep Mining Pass 2026-05-06]]
|
||||
- **conversations qwen** (chatgpt_md, 442KB) → [[Kimi Conversations]], [[Kimi-More Conversations]]
|
||||
- **Unsolved Geometry Problems** (kimi_json, 407KB) → [[Kimi-Unsolved Geometry Problems]], [[Kimi-Protein Geometry and N-Fold]]
|
||||
- **MOIM_Architecture** (article, 374KB) → [[Research Stack Architecture]], [[NIICore Architecture]]
|
||||
- **Algebraic Bracket Chat Room** (kimi_json, 364KB) → [[Kimi-Algebraic Bracket Chat Room]]
|
||||
- **moim ene catalog** (research_article, 315KB) → [[ENE Memory Atom]], [[ENE Substrate Mining]], [[ENE Wiki Layer]], [[TiddlyWiki ENE Bridge Plugin]], [[ENE API Hook]]
|
||||
- **chatgpt conversation** (chatgpt_md, 285KB) → [[Conversation Mining Source Map]], [[Mined Conversation Backlog]], [[Mined Conversation Concepts]]
|
||||
- **Ontological Manifold Theory Overview** (kimi_json, 186KB) → [[Manifold Flow]], [[Manifold Viewer]], [[Kimi-Ontological Manifold Theory Overview]]
|
||||
- **morphic topology graphml** (chatgpt_md, 153KB) → [[Morphic DSP]], [[FiveD Torus Topology]], [[ASIC Topology]], [[Kimi-GraphML Manifold Model Improvement]]
|
||||
- **Math Queries** (kimi_json, 140KB) → [[Kimi-Math Queries]], [[Kimi-Math Notation Extraction]], [[Kimi-Cross Domain Math Analysis]], [[Kimi-Universal Cross-Domain Math]]
|
||||
- **Lean Proof Completion** (kimi_json, 99KB) → [[Lean Semantics Overview]], [[Kimi-Lean Proof Completion]]
|
||||
- **θ-TaN Thermal Model** (kimi_json, 98KB) → [[Kimi-θ-TaN Thermal Model]], [[Kimi-Model Indexing and Equation Run]]
|
||||
- **N-Body Thermodynamic Equation** (kimi_json, 91KB) → [[Kimi-N-Body Thermodynamic Equation]]
|
||||
- **Multi-Expert OMTI Review** (kimi_json, 85KB) → [[Kimi-Multi-Expert OMTI Review]], [[Kimi-review stablity]], [[Kimi-Framework Re-Review]]
|
||||
- **Topological Genome Tractability Pipeline** (kimi_json, 76KB) → [[Hachimoji Pipeline]], [[Kimi-Topological Genome Tractability Pipeline]]
|
||||
- **GitHub Repo Review** (kimi_json, 69KB) → [[Kimi-Multi-Expert OMTI Review]], [[Kimi-GitHub Repo Review]], [[Kimi-Theory Cleanup via Review]], [[Kimi-review stablity]], [[Kimi-Framework Re-Review]], [[Kimi-Review of Your Formula]]
|
||||
- **DNA Computing Off‑Shelf Options** (kimi_json, 58KB) → [[Kimi-DNA Computing Options]]
|
||||
- **Install Multi-Agent Orchestration** (kimi_json, 55KB) → [[Kimi-Install Multi-Agent Orchestration]]
|
||||
- **Tiny Tapeout Cost & Core Design** (kimi_json, 46KB) → [[Kimi-Tiny Tapeout Cost and Core]]
|
||||
- **ene ingestion engine** (unknown, 39KB) → [[ENE Memory Atom]], [[ENE Substrate Mining]], [[ENE Wiki Layer]], [[Semantic Engine Binding Derivation]], [[TiddlyWiki ENE Bridge Plugin]], [[Data Ingestion Pipeline]], [[ENE API Hook]]
|
||||
- **post** (unknown, 37KB) → [[Mullins Skin-Effect Post Processing]]
|
||||
- **Theory Cleanup via Review** (kimi_json, 36KB) → [[Kimi-Theory Cleanup via Review]], [[Kimi-review stablity]], [[Kimi-Framework Re-Review]]
|
||||
- **query report** (research_article, 36KB) → [[Substrate FTS Query Surface]]
|
||||
- **ISO Language Comparison** (kimi_json, 33KB) → [[Kimi-ISO Language Comparison]]
|
||||
- **Project Issue Update** (kimi_json, 31KB) → [[Kimi-Project Issue Update]]
|
||||
- **Framework Re-Review** (kimi_json, 30KB) → [[Kimi-Multi-Expert OMTI Review]], [[Kimi-GitHub Repo Review]], [[Kimi-Theory Cleanup via Review]], [[Kimi-review stablity]], [[Kimi-Framework Re-Review]], [[Kimi-Review of Your Formula]]
|
||||
- **Hachimoji DNA/RNA Spectrum** (kimi_json, 28KB) → [[Hachimoji Pipeline]], [[Kimi-Hachimoji DNA RNA Spectrum]]
|
||||
- **Review of Your Formula** (kimi_json, 28KB) → [[Kimi-Multi-Expert OMTI Review]], [[Kimi-Theory Cleanup via Review]], [[Kimi-review stablity]], [[Kimi-Framework Re-Review]], [[Kimi-Review of Your Formula]]
|
||||
- **MOIM Architecture** (unknown, 27KB) → [[Research Stack Architecture]], [[NIICore Architecture]]
|
||||
- **Session: Organoid Encoding → LAMBDA_B Calibration** (chatgpt_md, 27KB) → [[Organoid Lambda Calibration]]
|
||||
- **Math Notation Extraction** (kimi_json, 26KB) → [[Kimi-Math Queries]], [[Kimi-Math Notation Extraction]], [[Kimi-Cross Domain Math Analysis]], [[Kimi-Universal Cross-Domain Math]]
|
||||
- **Spec 250 Equation Rigor** (kimi_json, 24KB) → [[Kimi-Spec 250 Equation Rigor]]
|
||||
- **ene query api** (unknown, 24KB) → [[ENE Memory Atom]], [[ENE Substrate Mining]], [[ENE Wiki Layer]], [[Substrate FTS Query Surface]], [[TiddlyWiki ENE Bridge Plugin]], [[ENE API Hook]]
|
||||
- **weird machine** (unknown, 21KB) → [[Topological State Machine]]
|
||||
- **weird machine (1)** (unknown, 21KB) → [[Topological State Machine]]
|
||||
- **Tensor Field Analysis DAG - Formal Defense** (chatgpt_md, 20KB) → [[Hutter Tensor Field Analysis DAG]], [[Tensor Compass]]
|
||||
- **weird machine v2** (unknown, 18KB) → [[Topological State Machine]]
|
||||
- **weird machine v2 (1)** (unknown, 18KB) → [[Topological State Machine]]
|
||||
- **Cross-Domain Analogies: Flow, Memory, and Constraints** (chatgpt_md, 17KB) → [[Manifold Flow]], [[Semantic RG Flow]]
|
||||
- **UCE_Constraint_Satisfaction_Neuromorphic_Architecture_2026** (article, 17KB) → [[Research Stack Architecture]], [[NIICore Architecture]]
|
||||
- **Hardware Schematics and Datasheets Reference** (chatgpt_md, 17KB) → [[Materials and Hardware Mining]]
|
||||
- **Mathematical Extraction from waveprobe_icmp_coordinator.py** (chatgpt_md, 15KB) → [[Waveprobe]]
|
||||
- **CMYKFrequencyCore.lean** (chatgpt_md, 14KB) → [[Lean Semantics Overview]], [[Kimi-Lean Proof Completion]]
|
||||
- **CMYKFrequencyCore.lean (1)** (chatgpt_md, 14KB) → [[Lean Semantics Overview]], [[Kimi-Lean Proof Completion]]
|
||||
- **manifold chain map** (chatgpt_md, 14KB) → [[Manifold Flow]], [[FAMM Fast Approximate Manifold Map]], [[AVMR Adaptive Vector Manifold Representation]], [[Manifold Viewer]]
|
||||
- **ENE SYSTEM MANIFEST v1.0** (chatgpt_md, 14KB) → [[ENE Memory Atom]], [[ENE Substrate Mining]], [[ENE Wiki Layer]], [[TiddlyWiki ENE Bridge Plugin]], [[ENE API Hook]]
|
||||
- **manifold chain map** (chatgpt_md, 14KB) → [[Manifold Flow]], [[FAMM Fast Approximate Manifold Map]], [[AVMR Adaptive Vector Manifold Representation]], [[Manifold Viewer]]
|
||||
- **The Story of a Tensor Field: A Critical Self-Attack** (chatgpt_md, 12KB) → [[Tensor Compass]]
|
||||
- **post** (unknown, 12KB) → [[Mullins Skin-Effect Post Processing]]
|
||||
- **Metaprobe Collective Manifold Math vs Morphic DSP Design Comparison** (chatgpt_md, 11KB) → [[Morphic DSP]], [[Manifold Flow]], [[Manifold Viewer]]
|
||||
- **Gowin DSP IP Manifold Shape Extraction** (chatgpt_md, 11KB) → [[Morphic DSP]], [[Manifold Flow]], [[Manifold Viewer]]
|
||||
- **Soliton Map — N-Space Path Trace for Replayable Actions** (chatgpt_md, 11KB) → [[Soliton N-Space Path]]
|
||||
- **WiFi, Bluetooth, and Ethernet Hardware Research** (chatgpt_md, 11KB) → [[Materials and Hardware Mining]]
|
||||
- **Gowin DSP IP Math vs Morphic DSP Design Comparison** (chatgpt_md, 10KB) → [[Morphic DSP]]
|
||||
- **[ARCHIVED - DEPRECATED TERMINOLOGY] Engram Codon Optical Decompressor** (chatgpt_md, 10KB) → [[Engram Decompressor]], [[Optical Codon Decoder]]
|
||||
- **Engram Codon Optical Decompressor** (chatgpt_md, 9KB) → [[Engram Decompressor]], [[Optical Codon Decoder]]
|
||||
- **chat moe corpus specific compression 20260325** (research_article, 9KB) → [[Hutter Prize Compression]], [[Peptide MoE]]
|
||||
- **Hardware Foreign Manifold Mapping Results** (chatgpt_md, 8KB) → [[Manifold Flow]], [[Manifold Viewer]]
|
||||
- **chat gemini hutter zk containment 20260318** (research_article, 8KB) → [[Hutter Prize Compression]]
|
||||
- **chat corpus analysis research stack 20260325** (research_article, 8KB) → [[Research Stack Home]], [[Research Stack Architecture]]
|
||||
- **Connection Machine Hypercube → Engram Voxel Topology** (chatgpt_md, 7KB) → [[Engram Decompressor]], [[ASIC Topology]]
|
||||
- **sovereign knowledge genome** (chatgpt_md, 7KB) → [[Kimi-Topological Genome Tractability Pipeline]]
|
||||
- **Janus Number Systems / Piet / Connectors Thread** (chatgpt_md, 7KB) → [[F-Number COUCH]]
|
||||
- **S3C Lean Code Manual Review** (chatgpt_md, 6KB) → [[Lean Semantics Overview]]
|
||||
- **Anisotropic Feature Genome** (chatgpt_md, 6KB) → [[Kimi-Topological Genome Tractability Pipeline]]
|
||||
- **prior art semantic infrastructure talisman 20260401** (research_article, 5KB) → [[Semantic RG Flow]]
|
||||
- **WaveProbe / Spoiler / Math Ingestion Thread** (chatgpt_md, 5KB) → [[Waveprobe]]
|
||||
- **Hutter Archive Format Specification — v1** (chatgpt_md, 5KB) → [[Hutter Prize Compression]]
|
||||
- **Chat Log Dump Manifest Summary** (chatgpt_md, 4KB) → [[Full Chat Log Dumps]]
|
||||
- **120-Cell / Hachimoji / Twist Thread** (chatgpt_md, 3KB) → [[Hachimoji Pipeline]]
|
||||
- **GeomTREE — The Semi-Jack Accountability Protocol (5-Minute Pitch)** (chatgpt_md, 3KB) → [[GeomTREE Semi-Jack Physical Witness]]
|
||||
- **Fractal Fork Decompressor** (chatgpt_md, 3KB) → [[Engram Decompressor]], [[Menger Sponge Fractal Addressing]]
|
||||
- **Collective Substrate ISA: Official v2.9 Specification** (chatgpt_md, 3KB) → [[Hutter Prize ISA]]
|
||||
- **Adversarial MoE Audit: Resonant v5-N "Power Bridge"** (chatgpt_md, 2KB) → [[Peptide MoE]]
|
||||
- **Longevity Audit: Avalanche Manifold vs. Wear & Tear** (chatgpt_md, 2KB) → [[Manifold Flow]], [[Manifold Viewer]]
|
||||
- **Adversarial MoE Report: Resonant Power Bridge (v5-N++)** (chatgpt_md, 2KB) → [[Peptide MoE]]
|
||||
- **Spec: The Unified Integration Controller (UN-C)** (chatgpt_md, 2KB) → [[Unified Hypersurface]]
|
||||
- **chat gemini hutter physics blender 20260318** (research_article, 2KB) → [[Hutter Prize Compression]]
|
||||
- **Spec: DAG Isomorphism (The Unified Scaling Law)** (chatgpt_md, 2KB) → [[Unified Hypersurface]]
|
||||
- **Final Concept Audit: The Perpetual Passive Manifold (v5.0)** (chatgpt_md, 2KB) → [[Concept Vector 14]], [[Manifold Flow]], [[Manifold Viewer]]
|
||||
- **Spec: The VRT Rust Engine (Topological State Unity)** (chatgpt_md, 2KB) → [[Topological State Machine]]
|
||||
- **MoE Audit: Cheapest Full-Spectrum EM on a Chip** (chatgpt_md, 2KB) → [[Peptide MoE]]
|
||||
- **Audit: VRT Software Resilience (MoE & Wolfram)** (chatgpt_md, 2KB) → [[Peptide MoE]]
|
||||
- **PCBWay Trace Routing Guide: TSM-VDP Wire-Centric Logic** (chatgpt_md, 2KB) → [[SLUQ Routing]]
|
||||
- **Spec: Sovereign Jenga (Discrete N-Space Manifold)** (chatgpt_md, 2KB) → [[Manifold Flow]], [[Manifold Viewer]]
|
||||
- **Audit: Topological State Unity (The Integration Capstone)** (chatgpt_md, 2KB) → [[Topological State Machine]]
|
||||
- **Spec: Resonant Topological State Unity Virtual Radio Telescope (VRT)** (chatgpt_md, 2KB) → [[Topological State Machine]]
|
||||
- **CANONICAL MATH MODELS** (research_article, 2KB) → [[Kimi-Math Queries]], [[Kimi-Math Notation Extraction]], [[Kimi-Cross Domain Math Analysis]], [[Kimi-Universal Cross-Domain Math]]
|
||||
- **Specification: Graph-Based State-Propagation VM (v1.1)** (chatgpt_md, 2KB) → [[Topological State Machine]]
|
||||
- **TSM-VDP CPU & Hardware Architecture Review** (chatgpt_md, 1KB) → [[Research Stack Architecture]], [[NIICore Architecture]], [[Kimi-review stablity]], [[Kimi-Framework Re-Review]]
|
||||
- **TSM-VDP v5: Virtual Verilog Architecture** (chatgpt_md, 1KB) → [[Research Stack Architecture]], [[NIICore Architecture]]
|
||||
- **Audit: High-Density Manifold Computation (v5-G)** (chatgpt_md, 1KB) → [[Manifold Flow]], [[Manifold Viewer]]
|
||||
- **Virtual Radio Network & Custom Substrate Review** (chatgpt_md, 1KB) → [[Kimi-review stablity]], [[Kimi-Framework Re-Review]]
|
||||
- **Tech Note: Symbolic Calibration (The Math/Metaphor Bridge)** (chatgpt_md, 1KB) → [[Organoid Lambda Calibration]]
|
||||
- **Audit: Resonant v5-H "Hardened" Manifold** (chatgpt_md, 1KB) → [[Manifold Flow]], [[Manifold Viewer]]
|
||||
- **Audit: Sovereign Lattice Resilience (MoE)** (chatgpt_md, 1KB) → [[Peptide MoE]]
|
||||
- **Synthesis: Passive Logic Manifold (R-L-C)** (chatgpt_md, 1KB) → [[Manifold Flow]], [[Manifold Viewer]]
|
||||
- **bodega map** (research_article, 1KB) → [[Conversation Mining Source Map]], [[FAMM Fast Approximate Manifold Map]]
|
||||
- **Specification: Resonant Stack v5 Unified Field** (chatgpt_md, 1KB) → [[Unified Hypersurface]]
|
||||
- **Audit: Silent Manifold Phase-Filter (v5-G)** (chatgpt_md, 1KB) → [[Manifold Flow]], [[Manifold Viewer]]
|
||||
- **Audit: v5-G "Virtual ASIC" (Final Hardware Verification)** (chatgpt_md, 1KB) → [[ASIC Topology]]
|
||||
- **Plan: Categorize and Find Invariant Roots** (chatgpt_md, 1KB) → [[Kimi-Protein Structures and Invariant Roots]]
|
||||
- **Chat Log Dumps** (chatgpt_md, 1KB) → [[Full Chat Log Dumps]]
|
||||
- **research ingestion index** (research_article, 0KB) → [[Data Ingestion Pipeline]]
|
||||
|
||||
## Uncovered Sources (no tiddlers yet)
|
||||
|
||||
- SOVEREIGN MATH MODEL DATABASE V2 (research_article, 107613KB) — `/home/allaun/Documents/Research Stack/shared-data/data/germane/research/SOVEREIGN_MATH_MODEL_DATABASE_V2.json`
|
||||
- HY_World_2_0 (article, 33418KB) — `/home/allaun/Documents/ingest/HY_World_2_0.pdf`
|
||||
- Agentic_Design_Patterns (article, 19626KB) — `/home/allaun/Documents/Research Stack/shared-data/data/germane/research/Agentic_Design_Patterns.pdf`
|
||||
- s41378-025-00875-w (article, 2616KB) — `/home/allaun/Documents/Research Stack/shared-data/data/germane/research/s41378-025-00875-w.pdf`
|
||||
- Yu 2025 ApJ 995 205 (unknown, 2063KB) — `/home/allaun/Documents/Research Stack/shared-data/data/germane/research/Yu_2025_ApJ_995_205.epub`
|
||||
- rsif.2022.0562 (article, 1258KB) — `/home/allaun/Documents/Research Stack/shared-data/data/germane/research/rsif.2022.0562.pdf`
|
||||
- possible duplicate chatgpt 414 1212 (chatgpt_md, 521KB) — `/home/allaun/Documents/ingest/possible_duplicate_chatgpt_414_1212.md`
|
||||
- kimik2.5 possible dupe 220pm 41426 (chatgpt_md, 443KB) — `/home/allaun/Documents/ingest/kimik2.5_possible_dupe_220pm_41426.md`
|
||||
- chagpt 414 1043 (chatgpt_md, 415KB) — `/home/allaun/Documents/ingest/chagpt-414-1043.md`
|
||||
- chagpt 414 1202 (chatgpt_md, 415KB) — `/home/allaun/Documents/ingest/chagpt-414-1202.md`
|
||||
- chatgpt conversation 415 1130am (chatgpt_md, 388KB) — `/home/allaun/Documents/ingest/chatgpt_conversation_415_1130am.md`
|
||||
- chatgpt ingest1 (chatgpt_md, 388KB) — `/home/allaun/Documents/Research Stack/shared-data/data/germane/research/chatgpt_ingest1.md`
|
||||
- possible duplicate pbacs chatgpt 414 1218 (chatgpt_md, 315KB) — `/home/allaun/Documents/ingest/possible_duplicate_pbacs_chatgpt_414_1218.md`
|
||||
- chagpt 414 1205 (chatgpt_md, 310KB) — `/home/allaun/Documents/ingest/chagpt-414-1205.md`
|
||||
- possible duplicate chatgpt 414 1210 (chatgpt_md, 310KB) — `/home/allaun/Documents/ingest/possible_duplicate_chatgpt_414_1210.md`
|
||||
- How_Malicious_AI_Swarms_Can_Threaten_Democracy%20%281%29 (article, 248KB) — `/home/allaun/Documents/ingest/How_Malicious_AI_Swarms_Can_Threaten_Democracy%20%281%29.pdf`
|
||||
- ChatGPT Evolution and Acoustic Inference (research_article, 243KB) — `/home/allaun/Documents/ingest/ChatGPT-Evolution_and_Acoustic_Inference.json`
|
||||
- chagpt 414 1200 (chatgpt_md, 238KB) — `/home/allaun/Documents/ingest/chagpt-414-1200.md`
|
||||
- post 196596937 20260506T000632Z (research_article, 228KB) — `/home/allaun/Documents/Research Stack/6-Documentation/articles/babbage-to-babcock/substack_bundle/substack_backups/post_196596937_20260506T000632Z.json`
|
||||
- possible duplicate chatgpt 414 1214 (chatgpt_md, 199KB) — `/home/allaun/Documents/ingest/possible_duplicate_chatgpt_414_1214.md`
|
||||
- post 196596937 20260506T000639Z (research_article, 198KB) — `/home/allaun/Documents/Research Stack/6-Documentation/articles/babbage-to-babcock/substack_bundle/substack_backups/post_196596937_20260506T000639Z.json`
|
||||
- manifest 20260318T231339Z (research_article, 172KB) — `/home/allaun/Documents/Research Stack/shared-data/data/germane/research/vault/manifest_20260318T231339Z.json`
|
||||
- possible duplicate chatgpt 414 1215 (chatgpt_md, 131KB) — `/home/allaun/Documents/ingest/possible_duplicate_chatgpt_414_1215.md`
|
||||
- attestestion file (chatgpt_md, 121KB) — `/home/allaun/Documents/Research Stack/shared-data/data/germane/research/attestestion_file.md`
|
||||
- ChatGPT TopologicalStateMachine Debugging (research_article, 74KB) — `/home/allaun/Documents/ingest/ChatGPT-TopologicalStateMachine_Debugging.json`
|
||||
- chagpt 414 1043 attestation index (research_article, 67KB) — `/home/allaun/Documents/ingest/chagpt-414-1043_attestation_index.json`
|
||||
- crown analogy (chatgpt_md, 58KB) — `/home/allaun/Documents/ingest/extraction required/crown analogy.md`
|
||||
- Autocatalysis Before Enzymes (chatgpt_md, 41KB) — `/home/allaun/Documents/ingest/Autocatalysis Before Enzymes.md`
|
||||
- freakingpaste (chatgpt_md, 41KB) — `/home/allaun/Documents/ingest/freakingpaste.md`
|
||||
- Comprehensive Physics and Engineering Learning Guide for Swarm (chatgpt_md, 38KB) — `/home/allaun/Documents/Research Stack/shared-data/data/germane/research/comprehensive_physics_engineering_guide.md`
|
||||
- OMT paper (unknown, 36KB) — `/home/allaun/Documents/ingest/extraction required/OMT_paper.docx`
|
||||
- From Babbage to Babcock (chatgpt_md, 33KB) — `/home/allaun/Documents/Research Stack/6-Documentation/articles/babbage-to-babcock/substack_bundle/post.md`
|
||||
- From Babbage to Babcock (chatgpt_md, 33KB) — `/home/allaun/Documents/Research Stack/6-Documentation/articles/babbage-to-babcock/article.md`
|
||||
- manifest 20260318T231057Z (research_article, 28KB) — `/home/allaun/Documents/Research Stack/shared-data/data/germane/research/vault/manifest_20260318T231057Z.json`
|
||||
- Comprehensive Technical Standards Learning Resource for Swarm Agents (chatgpt_md, 27KB) — `/home/allaun/Documents/Research Stack/shared-data/data/germane/research/comprehensive_technical_standards_resource.md`
|
||||
- experiment (unknown, 26KB) — `/home/allaun/Documents/ingest/extraction required/experiment.py`
|
||||
- experiment (1) (unknown, 26KB) — `/home/allaun/Documents/ingest/extraction required/experiment (1).py`
|
||||
- simulate omt (unknown, 24KB) — `/home/allaun/Documents/ingest/extraction required/simulate_omt.py`
|
||||
- simulate omt (1) (unknown, 24KB) — `/home/allaun/Documents/ingest/extraction required/simulate_omt (1).py`
|
||||
- Digital Platforms Learning Resource for Swarm Agents (chatgpt_md, 24KB) — `/home/allaun/Documents/Research Stack/shared-data/data/germane/research/digital_platforms_learning_resource.md`
|
||||
- Internet Protocols Learning Resource for Swarm Agents (chatgpt_md, 23KB) — `/home/allaun/Documents/Research Stack/shared-data/data/germane/research/internet_protocols_learning_resource.md`
|
||||
- simulate qubo (unknown, 20KB) — `/home/allaun/Documents/ingest/extraction required/simulate_qubo.py`
|
||||
- simulate qubo (1) (unknown, 20KB) — `/home/allaun/Documents/ingest/extraction required/simulate_qubo (1).py`
|
||||
- simulate qubo (2) (unknown, 20KB) — `/home/allaun/Documents/ingest/extraction required/simulate_qubo (2).py`
|
||||
- cmyk adapter experiment (unknown, 19KB) — `/home/allaun/Documents/ingest/extraction required/cmyk_adapter_experiment.py`
|
||||
- cmyk adapter experiment (1) (unknown, 19KB) — `/home/allaun/Documents/ingest/extraction required/cmyk_adapter_experiment (1).py`
|
||||
- simulate (unknown, 18KB) — `/home/allaun/Documents/ingest/extraction required/simulate.py`
|
||||
- simulate (1) (unknown, 18KB) — `/home/allaun/Documents/ingest/extraction required/simulate (1).py`
|
||||
- Mathematical Basis of the Meta-Ontological Inversion Machine (chatgpt_md, 17KB) — `/home/allaun/Documents/ingest/moim/docs/architecture/MOIM_MathematicalBasis.md`
|
||||
- TotalSignal AcceleratingLoop (chatgpt_md, 16KB) — `/home/allaun/Documents/ingest/moim/formal/lean/core/TotalSignal_AcceleratingLoop.txt`
|
||||
- nuvmap compress (unknown, 16KB) — `/home/allaun/Documents/ingest/extraction required/nuvmap_compress.py`
|
||||
- nuvmap compress (1) (unknown, 16KB) — `/home/allaun/Documents/ingest/extraction required/nuvmap_compress (1).py`
|
||||
- MOIM PROJECT INDEX v4.0 (chatgpt_md, 16KB) — `/home/allaun/Documents/ingest/moim/PROJECT_INDEX.md`
|
||||
- MOIM System Manifest v3.0 (chatgpt_md, 16KB) — `/home/allaun/Documents/ingest/moim/manifest/MOIM_SYSTEM_MANIFEST_v3.md`
|
||||
- nuvmap freq experiment (unknown, 15KB) — `/home/allaun/Documents/ingest/extraction required/nuvmap_freq_experiment.py`
|
||||
- nuvmap freq experiment (1) (unknown, 15KB) — `/home/allaun/Documents/ingest/extraction required/nuvmap_freq_experiment (1).py`
|
||||
- nuvmap freq experiment (2) (unknown, 15KB) — `/home/allaun/Documents/ingest/extraction required/nuvmap_freq_experiment (2).py`
|
||||
- nuvmap freq experiment (3) (unknown, 15KB) — `/home/allaun/Documents/ingest/extraction required/nuvmap_freq_experiment (3).py`
|
||||
- Finer Hardware Probing Methods - Research Summary (chatgpt_md, 15KB) — `/home/allaun/Documents/Research Stack/shared-data/data/germane/research/finer_probing_methods_research.md`
|
||||
- CMYKFrequencyCore (unknown, 14KB) — `/home/allaun/Documents/ingest/extraction required/CMYKFrequencyCore`
|
||||
- Mesa Drivers for AMD GPU - HDMI/DisplayPort Support Research (chatgpt_md, 14KB) — `/home/allaun/Documents/Research Stack/shared-data/data/germane/research/mesa_driver_hdmi_displayport_research.md`
|
||||
- AMMR AVMR TruthTest test vectors (research_article, 14KB) — `/home/allaun/Documents/Research Stack/shared-data/data/germane/research/REVISED_EQUATIONS/AMMR_AVMR_TruthTest_test_vectors.json`
|
||||
- SovereignMathModel test vectors (research_article, 14KB) — `/home/allaun/Documents/Research Stack/shared-data/data/germane/research/REVISED_EQUATIONS/SovereignMathModel_test_vectors.json`
|
||||
- Bridge Model Module Guide (chatgpt_md, 13KB) — `/home/allaun/Documents/ingest/BridgeModel_Module_Guide.md`
|
||||
- Bridge Model Module Guide (chatgpt_md, 13KB) — `/home/allaun/Documents/ingest/Chatgpt_415508PM_latest_model_exports_bundle/BridgeModel_Module_Guide.md`
|
||||
- 四力几何推导 (kimi_json, 13KB) — `/home/allaun/Documents/ingest/Kimi-四力几何推导.json`
|
||||
- GPU Optimization Guide for Swarm Learning (chatgpt_md, 13KB) — `/home/allaun/Documents/Research Stack/shared-data/data/germane/research/gpu_optimization_guide.md`
|
||||
- MOIM System Manifest v2.0 (chatgpt_md, 12KB) — `/home/allaun/Documents/ingest/moim/manifest/MOIM_SYSTEM_MANIFEST_v2.md`
|
||||
- Makefile (unknown, 11KB) — `/home/allaun/Documents/ingest/moim/build/Makefile`
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- ISO Standards Learning Resource for Swarm Agents (chatgpt_md, 11KB) — `/home/allaun/Documents/Research Stack/shared-data/data/germane/research/iso_standards_learning_resource.md`
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- Single-State Trace Spec v0.1 (chatgpt_md, 11KB) — `/home/allaun/Documents/Research Stack/shared-data/data/germane/research/hutter/single_state_trace_spec.md`
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- SSD PCIe Side Channel Probing (chatgpt_md, 11KB) — `/home/allaun/Documents/Research Stack/shared-data/data/germane/research/ssd_pcie_side_channel_probing.md`
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- omt pruning experiment (unknown, 10KB) — `/home/allaun/Documents/ingest/extraction required/omt_pruning_experiment.py`
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- Tasks (chatgpt_md, 10KB) — `/home/allaun/Documents/Research Stack/shared-data/data/germane/research/task.md`
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- HDMI Cleanroom Reverse Engineering Research (chatgpt_md, 10KB) — `/home/allaun/Documents/Research Stack/shared-data/data/germane/research/hdmi_cleanroom_reverse_engineering_research.md`
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- The Ending (chatgpt_md, 10KB) — `/home/allaun/Documents/Research Stack/shared-data/data/germane/research/hutter/THE_ENDING.md`
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- Keyboard, Mouse, and Monitor Device Research (chatgpt_md, 10KB) — `/home/allaun/Documents/Research Stack/shared-data/data/germane/research/keyboard_mouse_monitor_research.md`
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- Meme Math That Pays Rent (chatgpt_md, 10KB) — `/home/allaun/Documents/Research Stack/6-Documentation/articles/meme-math-that-pays-rent/article.md`
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- Meme Math That Pays Rent (chatgpt_md, 10KB) — `/home/allaun/Documents/Research Stack/6-Documentation/articles/meme-math-that-pays-rent/substack_bundle/post.md`
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- SSD Comprehensive Analysis (chatgpt_md, 9KB) — `/home/allaun/Documents/Research Stack/shared-data/data/germane/research/ssd_comprehensive_analysis.md`
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- RAM Addressing Scheme and Circuit Wiring Analysis (chatgpt_md, 9KB) — `/home/allaun/Documents/Research Stack/shared-data/data/germane/research/ram_addressing_circuit_wiring_analysis.md`
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- S3C Sparkle Integration Plan (chatgpt_md, 9KB) — `/home/allaun/Documents/Research Stack/shared-data/data/germane/research/s3c_sparkle_integration_plan.md`
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- behavioral taxonomy merkle (research_article, 9KB) — `/home/allaun/Documents/Research Stack/shared-data/data/germane/research/REVISED_EQUATIONS/behavioral_taxonomy_merkle.json`
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- Session Record: KDA-18 C20-C31 + BFT Judge Wiring (chatgpt_md, 9KB) — `/home/allaun/Documents/Research Stack/shared-data/data/germane/research/session-kda18-c20-c31-bft-wiring-20260405.md`
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- Biological Systems Learning Guide for Swarm (chatgpt_md, 9KB) — `/home/allaun/Documents/Research Stack/shared-data/data/germane/research/biological_systems_guide.md`
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- Realtek RTL8126 MMIO Security Analysis (chatgpt_md, 8KB) — `/home/allaun/Documents/Research Stack/shared-data/data/germane/research/realtek_rtl8126_mmio_security_analysis.md`
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- behavioral taxonomy merkle (chatgpt_md, 8KB) — `/home/allaun/Documents/Research Stack/shared-data/data/germane/research/REVISED_EQUATIONS/behavioral_taxonomy_merkle.txt`
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- DisplayPort Cable Length and Travel Path Estimation (chatgpt_md, 8KB) — `/home/allaun/Documents/Research Stack/shared-data/data/germane/research/displayport_cable_length_timing_estimation.md`
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- sovereign invariant analysis (research_article, 8KB) — `/home/allaun/Documents/Research Stack/shared-data/data/germane/research/REVISED_EQUATIONS/sovereign_invariant_analysis.json`
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- DisplayPort Cable Inference Research (chatgpt_md, 8KB) — `/home/allaun/Documents/Research Stack/shared-data/data/germane/research/displayport_cable_inference_research.md`
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- SAE Feature Scraper — Design Record (chatgpt_md, 7KB) — `/home/allaun/Documents/Research Stack/shared-data/data/germane/research/design-sae-feature-scraper-20260405.md`
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- Walkthrough: The Sovereign Stack (Integration Validated) (chatgpt_md, 7KB) — `/home/allaun/Documents/Research Stack/shared-data/data/germane/research/walkthrough.md`
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- W3C Standards Learning Resource for Swarm Agents (chatgpt_md, 7KB) — `/home/allaun/Documents/Research Stack/shared-data/data/germane/research/w3c_standards_learning_resource.md`
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- The Approach — Feature-Byte Mirror v3 (chatgpt_md, 7KB) — `/home/allaun/Documents/Research Stack/shared-data/data/germane/research/hutter/APPROACH.md`
|
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- HDMI Cable Inference Research (chatgpt_md, 7KB) — `/home/allaun/Documents/Research Stack/shared-data/data/germane/research/hdmi_cable_inference_research.md`
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- Tang Nano 9K Design Comparison (chatgpt_md, 6KB) — `/home/allaun/Documents/Research Stack/shared-data/data/germane/research/tang_nano_9k_design_comparison.md`
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- TSM-VDP Physics Audit & Unification Equation (chatgpt_md, 5KB) — `/home/allaun/Documents/Research Stack/shared-data/data/germane/research/physics_audit.md`
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- chat bigbang coulomb decompression 20260325 (research_article, 5KB) — `/home/allaun/Documents/Research Stack/shared-data/data/germane/research/chat-bigbang-coulomb-decompression-20260325.json`
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- Universal Power Interface (UPI) Spec (chatgpt_md, 5KB) — `/home/allaun/Documents/Research Stack/shared-data/data/germane/research/universal_power_interface.md`
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- SAE Feature Frequency Analysis — 2026-04-05 (chatgpt_md, 5KB) — `/home/allaun/Documents/Research Stack/shared-data/data/germane/research/chat-sae-feature-frequency-analysis-20260405.md`
|
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- build manifest (unknown, 5KB) — `/home/allaun/Documents/Research Stack/6-Documentation/chat-log-dumps/build_manifest.py`
|
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- Implementation Plan: Resonant Power Bridge (v5-N++) (chatgpt_md, 4KB) — `/home/allaun/Documents/Research Stack/shared-data/data/germane/research/implementation_plan.md`
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- universal early warning signals (unknown, 4KB) — `/home/allaun/Documents/Research Stack/shared-data/data/germane/research/universal_early_warning_signals.html`
|
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- chat operator fingerprint 20260325 (research_article, 4KB) — `/home/allaun/Documents/Research Stack/shared-data/data/germane/research/chat-operator-fingerprint-20260325.json`
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- chat iso as neural filter 20260325 (research_article, 4KB) — `/home/allaun/Documents/Research Stack/shared-data/data/germane/research/chat-iso-as-neural-filter-20260325.json`
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- dair agentic engineering wiki (research_article, 4KB) — `/home/allaun/Documents/Research Stack/shared-data/data/germane/research/dair_agentic_engineering_wiki.json`
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- phase_transport_full_preprint (article, 4KB) — `/home/allaun/Documents/Research Stack/shared-data/data/germane/research/phase_transport_full_preprint.pdf`
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- Audit: Infrastructure Power Stage (The "Power Bridge" Platform) (chatgpt_md, 3KB) — `/home/allaun/Documents/Research Stack/shared-data/data/germane/research/infrastructure_alchemy_audit.md`
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- SOVEREIGN MATH MODEL DATABASE (research_article, 3KB) — `/home/allaun/Documents/Research Stack/shared-data/data/germane/research/SOVEREIGN_MATH_MODEL_DATABASE.json`
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- Energy-Aware Non-Linear Decompression (chatgpt_md, 3KB) — `/home/allaun/Documents/Research Stack/shared-data/data/germane/research/hutter/ENERGY_AWARE_DECOMPRESSION.md`
|
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- Cognitive Thermo — Thermodynamic Path Exploration (chatgpt_md, 3KB) — `/home/allaun/Documents/Research Stack/shared-data/data/germane/research/hutter/COGNITIVE_THERMO_README.md`
|
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- Physical Audit: Sovereign Cement (Adversarial Review) (chatgpt_md, 3KB) — `/home/allaun/Documents/Research Stack/shared-data/data/germane/research/sovereign_cement_physics_audit.md`
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- Technical Specification: AAS Soliton Sorting (chatgpt_md, 3KB) — `/home/allaun/Documents/Research Stack/shared-data/data/germane/research/aas_soliton_sorting_spec.md`
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- Training mRNA Language Models Across 25 Species for $165 (chatgpt_md, 3KB) — `/home/allaun/Documents/Research Stack/shared-data/data/germane/research/training-mrna-language-models-across-25-species-for-165.md`
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- Evidence of the pair-instability gap from black-hole masses - Nature (chatgpt_md, 3KB) — `/home/allaun/Documents/Research Stack/shared-data/data/germane/research/evidence-of-the-pair-instability-gap-from-black-hole-masses-nature.md`
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- Sparse Autoencoders on Codon Language Models (chatgpt_md, 3KB) — `/home/allaun/Documents/Research Stack/shared-data/data/germane/research/sparse-autoencoders-on-codon-language-models.md`
|
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- Session Saga: Infohazard Containment Protocol (ICP) (chatgpt_md, 3KB) — `/home/allaun/Documents/Research Stack/shared-data/data/germane/research/SESSION_SAGA_INFOHAZARD_CONTAINMENT.md`
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- behavioral merkle map (research_article, 3KB) — `/home/allaun/Documents/Research Stack/shared-data/data/germane/research/REVISED_EQUATIONS/behavioral_merkle_map.json`
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- An ultra-high-resolution map of (dark) matter (chatgpt_md, 3KB) — `/home/allaun/Documents/Research Stack/shared-data/data/germane/research/scognamiglio-an-ultra-high-resolution-map-of-dark-matter-2026.md`
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- Expert Audit: Cheap MEMS as Signal Waveguides (chatgpt_md, 2KB) — `/home/allaun/Documents/Research Stack/shared-data/data/germane/research/mems_waveguide_audit.md`
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- Spec: N-Space Resilience Strain Gauge (chatgpt_md, 2KB) — `/home/allaun/Documents/Research Stack/shared-data/data/germane/research/n_space_strain_gauge_spec.md`
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- Technical Specification: AAS-Enhanced VM Substrate (chatgpt_md, 2KB) — `/home/allaun/Documents/Research Stack/shared-data/data/germane/research/aas_vm_substrate_integration.md`
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- Spec: The Sovereign Lattice (N-Space Structural Synthesis) (chatgpt_md, 2KB) — `/home/allaun/Documents/Research Stack/shared-data/data/germane/research/sovereign_lattice_spec.md`
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- Technical Specification: AAS-Optimized Quantum Annealing (chatgpt_md, 2KB) — `/home/allaun/Documents/Research Stack/shared-data/data/germane/research/aas_quantum_annealing_optimization.md`
|
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- google doc sources (chatgpt_md, 2KB) — `/home/allaun/Documents/Research Stack/shared-data/data/germane/research/google_doc_sources.txt`
|
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- Technical Specification: AAS-Enhanced SHA256 Encoding (chatgpt_md, 2KB) — `/home/allaun/Documents/Research Stack/shared-data/data/germane/research/aas_sha256_encoding_enhancement.md`
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- Spec: N-Space Structural Synthesis (Topological 3D) (chatgpt_md, 2KB) — `/home/allaun/Documents/Research Stack/shared-data/data/germane/research/n_space_structural_spec.md`
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- Physicists Found Something That Can Move Faster Than Light: The Darkness Inside It (chatgpt_md, 2KB) — `/home/allaun/Documents/Research Stack/shared-data/data/germane/research/physicists-found-something-that-can-move-faster-than-light-the-darkness-inside-it.md`
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- Technical Specification: AAS-Enhanced Pi Computation (chatgpt_md, 2KB) — `/home/allaun/Documents/Research Stack/shared-data/data/germane/research/aas_pi_computation_enhancement.md`
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- Deep Dive: The Metanarrative Harness (v5-N++) (chatgpt_md, 2KB) — `/home/allaun/Documents/Research Stack/shared-data/data/germane/research/metanarrative_harness_deep_dive.md`
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- chat iso precompression 20260325 (research_article, 2KB) — `/home/allaun/Documents/Research Stack/shared-data/data/germane/research/chat-iso-precompression-20260325.json`
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- Chaos-First Test Rig Design (Resonant Power Bridge) (chatgpt_md, 2KB) — `/home/allaun/Documents/Research Stack/shared-data/data/germane/research/test_rig_design.md`
|
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- Spec: Sovereign Cement (DAG-Enhanced 3DCP) (chatgpt_md, 2KB) — `/home/allaun/Documents/Research Stack/shared-data/data/germane/research/sovereign_cement_spec.md`
|
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- Technical Report: Multi-Variable Sensitivity & Entropy Breakdown (chatgpt_md, 2KB) — `/home/allaun/Documents/Research Stack/shared-data/data/germane/research/material_sensitivity_analysis_v1.md`
|
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- Wormhole Mechanism Specification (Resonant Power Bridge) (chatgpt_md, 2KB) — `/home/allaun/Documents/Research Stack/shared-data/data/germane/research/wormhole_mechanism_spec.md`
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- tunnel Mechanism Specification (Resonant Power Bridge) (chatgpt_md, 2KB) — `/home/allaun/Documents/Research Stack/shared-data/data/germane/research/tunnel_mechanism_spec.md`
|
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- Competitive Analysis: Resonant v5-G vs. Modern Silicon (chatgpt_md, 2KB) — `/home/allaun/Documents/Research Stack/shared-data/data/germane/research/competitive_analysis.md`
|
||||
- Sovereign Stack: Overview & Immediate Integration (chatgpt_md, 2KB) — `/home/allaun/Documents/Research Stack/shared-data/data/germane/research/sovereign_stack_overview.md`
|
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- TSM-VDP: Failure Mode Simulation (chatgpt_md, 2KB) — `/home/allaun/Documents/Research Stack/shared-data/data/germane/research/failure_mode_simulation.md`
|
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- Superluminal Correlations in Ensembles of Optical Phase Singularities (chatgpt_md, 2KB) — `/home/allaun/Documents/Research Stack/shared-data/data/germane/research/bucher-superluminal-correlations-in-ensembles-of-optical-phase-singularities-2025.md`
|
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- TSM-VDP (chatgpt_md, 2KB) — `/home/allaun/Documents/Research Stack/shared-data/data/germane/research/planck_clock_audit.md`
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- ms myelin glucose signaling 2026 05 04 (research_article, 2KB) — `/home/allaun/Documents/Research Stack/shared-data/data/germane/research/ms_myelin_glucose_signaling_2026-05-04.json`
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- Spec: The Sovereign Tower (N-Space Structural Prototype) (chatgpt_md, 2KB) — `/home/allaun/Documents/Research Stack/shared-data/data/germane/research/sovereign_tower_spec.md`
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- Superluminal Correlations in Ensembles of Optical Phase Singularities (chatgpt_md, 2KB) — `/home/allaun/Documents/Research Stack/shared-data/data/germane/research/superluminal-correlations-in-ensembles-of-optical-phase-singularities.md`
|
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- Proof & Directive: Sovereign Jenga Manufacturing (chatgpt_md, 2KB) — `/home/allaun/Documents/Research Stack/shared-data/data/germane/research/sovereign_jenga_gcode_proof.md`
|
||||
- PTOS Security Mapping (Hardware Hardening) (chatgpt_md, 2KB) — `/home/allaun/Documents/Research Stack/shared-data/data/germane/research/ptos_security_mapping.md`
|
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- Bridge Protocol Specification: Bitcoin L2/L3 Integration (chatgpt_md, 2KB) — `/home/allaun/Documents/Research Stack/shared-data/data/germane/research/bridge_protocol_spec.md`
|
||||
- Metanarrative Goal Spec: The Target Function (chatgpt_md, 2KB) — `/home/allaun/Documents/Research Stack/shared-data/data/germane/research/metanarrative_goal_spec.md`
|
||||
- Long-Term Roadmap: Resonant Power Bridge (chatgpt_md, 2KB) — `/home/allaun/Documents/Research Stack/shared-data/data/germane/research/long_term_roadmap.md`
|
||||
- Tech Note: N->3 Projection Logic (The Streamline Algorithm) (chatgpt_md, 2KB) — `/home/allaun/Documents/Research Stack/shared-data/data/germane/research/n_space_projection_logic.md`
|
||||
- Geometry from quantum temporal correlations (chatgpt_md, 2KB) — `/home/allaun/Documents/Research Stack/shared-data/data/germane/research/geometry-from-quantum-temporal-correlations.md`
|
||||
- Spec: 20 THz Quasicrystalline NEMS Array (MOCVD) (chatgpt_md, 2KB) — `/home/allaun/Documents/Research Stack/shared-data/data/germane/research/nems_fracking_array_spec.md`
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- Exploratory Audit: Ambient EM Harvesting (v5-H Expansion) (chatgpt_md, 2KB) — `/home/allaun/Documents/Research Stack/shared-data/data/germane/research/ambient_em_harvesting_audit.md`
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- chat substrate design 20260325 (research_article, 2KB) — `/home/allaun/Documents/Research Stack/shared-data/data/germane/research/chat-substrate-design-20260325.json`
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- Report: VRT Software Stability & Resilience (chatgpt_md, 2KB) — `/home/allaun/Documents/Research Stack/shared-data/data/germane/research/vrt_stability_report.md`
|
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- Audit: Power Miser Optimization (v5-J) (chatgpt_md, 2KB) — `/home/allaun/Documents/Research Stack/shared-data/data/germane/research/power_miser_optimization.md`
|
||||
- Tang Nano 9K Pinout Information (chatgpt_md, 2KB) — `/home/allaun/Documents/Research Stack/shared-data/data/germane/research/tang_nano_9k_pinout.md`
|
||||
- Model: Atmospheric Fracking Cycle (Londetite & Regolith) (chatgpt_md, 2KB) — `/home/allaun/Documents/Research Stack/shared-data/data/germane/research/fracking_cycle_model.md`
|
||||
- Geometry from quantum temporal correlations (chatgpt_md, 2KB) — `/home/allaun/Documents/Research Stack/shared-data/data/germane/research/fullwood-geometry-from-quantum-temporal-correlations-2025.md`
|
||||
- categories (unknown, 2KB) — `/home/allaun/Documents/Research Stack/6-Documentation/articles/categories.yml`
|
||||
- BOM: Resonant Power Bridge Platform (v5-N++) (chatgpt_md, 1KB) — `/home/allaun/Documents/Research Stack/shared-data/data/germane/research/hardware_bom_v5n.md`
|
||||
- Spec: Londetite Energy Storage (Solid-State Fuel) (chatgpt_md, 1KB) — `/home/allaun/Documents/Research Stack/shared-data/data/germane/research/londetite_storage_spec.md`
|
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- Tech Note: Projective Interlock (The Jenga Proof) (chatgpt_md, 1KB) — `/home/allaun/Documents/Research Stack/shared-data/data/germane/research/projective_interlock_logic.md`
|
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- Audit: Pentagonal Phased Array (v5-M) (chatgpt_md, 1KB) — `/home/allaun/Documents/Research Stack/shared-data/data/germane/research/phased_array_audit.md`
|
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- Pre-SME Adversarial Audit: Persona Gene Drive Pass (chatgpt_md, 1KB) — `/home/allaun/Documents/Research Stack/shared-data/data/germane/research/pre_sme_adversarial_audit.md`
|
||||
- Graph-Based SQL Substrate: Technical Specification (chatgpt_md, 1KB) — `/home/allaun/Documents/Research Stack/shared-data/data/germane/research/graph_sql_deep_dive.md`
|
||||
- Wolfram Alpha Analytical Input Sheet (AAS-Integration) (chatgpt_md, 1KB) — `/home/allaun/Documents/Research Stack/shared-data/data/germane/research/wolfram_alpha_input_sheet.md`
|
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- TSM-VDP: System Reliability & Stability Audit (chatgpt_md, 1KB) — `/home/allaun/Documents/Research Stack/shared-data/data/germane/research/grey_goo_safety_audit.md`
|
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- Sovereign Math Model Database: Instance Report (chatgpt_md, 1KB) — `/home/allaun/Documents/Research Stack/shared-data/data/germane/research/SOVEREIGN_MATH_DATABASE_INSTANCE.md`
|
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- Audit: Thermodynamic Power Computation (Power-as-Logic) (chatgpt_md, 1KB) — `/home/allaun/Documents/Research Stack/shared-data/data/germane/research/wire_centric_computing_audit.md`
|
||||
- Tech Note: Mechanical Merkle Tree (Proof-of-State) (chatgpt_md, 1KB) — `/home/allaun/Documents/Research Stack/shared-data/data/germane/research/mechanical_merkle_tree_logic.md`
|
||||
- PCB Design Specification: Graph VM Logic Substrate (chatgpt_md, 1KB) — `/home/allaun/Documents/Research Stack/shared-data/data/germane/research/substrate_pcb_spec.md`
|
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- Audit: Plasma Gasification (Waste-Free NEMS Mode) (chatgpt_md, 1KB) — `/home/allaun/Documents/Research Stack/shared-data/data/germane/research/plasma_gasification_audit.md`
|
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- Audit: Closed-Loop Regolith Fixation (Fertility Cycle) (chatgpt_md, 1KB) — `/home/allaun/Documents/Research Stack/shared-data/data/germane/research/regolith_fixation_audit.md`
|
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- Audit: Quantum Evolution & Self-Organization (v5-K) (chatgpt_md, 1KB) — `/home/allaun/Documents/Research Stack/shared-data/data/germane/research/quantum_evolution_audit.md`
|
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- Audit: Sovereign Jenga Efficiency & Stability (chatgpt_md, 1KB) — `/home/allaun/Documents/Research Stack/shared-data/data/germane/research/jenga_efficiency_audit.md`
|
||||
- adversarial rebuttal (chatgpt_md, 1KB) — `/home/allaun/Documents/Research Stack/shared-data/data/germane/research/adversarial_rebuttal.md`
|
||||
- Cognitive Load + Trinary Clock Integration (chatgpt_md, 1KB) — `/home/allaun/Documents/Research Stack/shared-data/data/germane/research/hutter/COGNITIVE_LOAD_INTEGRATION.md`
|
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- Audit: IR Rayleigh Entropy Sensing (v5-N) (chatgpt_md, 1KB) — `/home/allaun/Documents/Research Stack/shared-data/data/germane/research/rayleigh_entropy_audit.md`
|
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- Audit: Holographic Fractal Connectome (Budget Edition) (chatgpt_md, 1KB) — `/home/allaun/Documents/Research Stack/shared-data/data/germane/research/fractal_connectome_audit.md`
|
||||
- Technical Specification: Verifiable Data Provenance (VDP) (chatgpt_md, 1KB) — `/home/allaun/Documents/Research Stack/shared-data/data/germane/research/verifiable_provenance_spec.md`
|
||||
- Audit: Passive R-L-C-P Field Computation (v5.0 Final) (chatgpt_md, 1KB) — `/home/allaun/Documents/Research Stack/shared-data/data/germane/research/passive_field_audit.md`
|
||||
- Retrieval Comparison: NoSQL vs Collective Substrate (chatgpt_md, 1KB) — `/home/allaun/Documents/Research Stack/shared-data/data/germane/research/retrieval_comparison.md`
|
||||
- Downloads Batch 2026-04-02 (chatgpt_md, 1KB) — `/home/allaun/Documents/Research Stack/shared-data/data/germane/research/downloads-batch-20260402.md`
|
||||
- Audit: 1000-Hour Extreme Stress Test (v5-B) (chatgpt_md, 1KB) — `/home/allaun/Documents/Research Stack/shared-data/data/germane/research/village_stabilizer_audit.md`
|
||||
- Audit: Resonant v5-K "Resonant Echo" (chatgpt_md, 1KB) — `/home/allaun/Documents/Research Stack/shared-data/data/germane/research/resonant_echo_v5k_audit.md`
|
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- Audit: STARK AIR Constraints (v5-L) (chatgpt_md, 1KB) — `/home/allaun/Documents/Research Stack/shared-data/data/germane/research/stark_air_audit.md`
|
||||
- Spec: Qutrit State-Space (Sovereign Signal Tier) (chatgpt_md, 1KB) — `/home/allaun/Documents/Research Stack/shared-data/data/germane/research/qutrit_state_spec.md`
|
||||
- Deployment Guide: Resonant v5-B Village Power Stabilizer (chatgpt_md, 1KB) — `/home/allaun/Documents/Research Stack/shared-data/data/germane/research/village_deployment_guide.md`
|
||||
- Audit: Memistor-Adaptive Logic (The Widrow Approach) (chatgpt_md, 1KB) — `/home/allaun/Documents/Research Stack/shared-data/data/germane/research/memistor_logic_audit.md`
|
||||
- Audit: Phase-Change Thermopile (v5-H) (chatgpt_md, 1KB) — `/home/allaun/Documents/Research Stack/shared-data/data/germane/research/thermopile_synthesis_audit.md`
|
||||
- Audit: n-ZK-STARK Attestation (v5-L) (chatgpt_md, 1KB) — `/home/allaun/Documents/Research Stack/shared-data/data/germane/research/zk_stark_attestation_audit.md`
|
||||
- Audit: ISO-Standard Grid-Mesh (v5-F) (chatgpt_md, 1KB) — `/home/allaun/Documents/Research Stack/shared-data/data/germane/research/grid_mesh_audit.md`
|
||||
- Audit: Topological Memistor Emulation (The Filament Approach) (chatgpt_md, 1KB) — `/home/allaun/Documents/Research Stack/shared-data/data/germane/research/topological_memistor_audit.md`
|
||||
- Audit: Cascading Voltage Wave Resilience (v5-E) (chatgpt_md, 1KB) — `/home/allaun/Documents/Research Stack/shared-data/data/germane/research/cascade_resilience_audit.md`
|
||||
- Audit: 100,000-Hour "Nightmare Grid" Endurance (Steroid Level) (chatgpt_md, 1KB) — `/home/allaun/Documents/Research Stack/shared-data/data/germane/research/longevity_audit_100k.md`
|
||||
- The House, The Player, and Zero (chatgpt_md, 1KB) — `/home/allaun/Documents/Research Stack/shared-data/data/germane/research/hutter/COGNITIVE_WHEEL_README.md`
|
||||
- session sovereign stack rev a boot 20260401 (research_article, 0KB) — `/home/allaun/Documents/Research Stack/shared-data/data/germane/research/session-sovereign-stack-rev-a-boot-20260401.json`
|
||||
- manifest 20260318T231040Z (research_article, 0KB) — `/home/allaun/Documents/Research Stack/shared-data/data/germane/research/vault/manifest_20260318T231040Z.json`
|
||||
- manifest (research_article, 0KB) — `/home/allaun/Documents/Research Stack/6-Documentation/articles/babbage-to-babcock/substack_bundle/manifest.json`
|
||||
- metadata (unknown, 0KB) — `/home/allaun/Documents/Research Stack/6-Documentation/articles/babbage-to-babcock/metadata.yml`
|
||||
- Articles (chatgpt_md, 0KB) — `/home/allaun/Documents/Research Stack/6-Documentation/articles/README.md`
|
||||
- manifest (research_article, 0KB) — `/home/allaun/Documents/Research Stack/6-Documentation/articles/meme-math-that-pays-rent/substack_bundle/manifest.json`
|
||||
- metadata (unknown, 0KB) — `/home/allaun/Documents/Research Stack/6-Documentation/articles/meme-math-that-pays-rent/metadata.yml`
|
||||
|
||||
## Maintenance Log
|
||||
|
||||
| Date | Action | Detail |
|
||||
|------|--------|--------|
|
||||
| 2026-05-07 | sources.md generated | 108 covered, 204 uncovered |
|
||||
|
|
@ -0,0 +1,17 @@
|
|||
created: 20260507000000000
|
||||
modified: 20260507000000000
|
||||
tags: ResearchStack Lean Encoding Compression
|
||||
title: CMYK Frequency Core
|
||||
type: text/vnd.tiddlywiki
|
||||
|
||||
! CMYK Frequency Core
|
||||
|
||||
CMYK Frequency Core is a frequency-domain encoding scheme using CMYK color space primitives for compression. Lean formalization at `CMYKFrequencyCore.lean` in `/home/allaun/Documents/ingest/extraction required/`. Integrates with NUVMAP compression and the N-Folded MMR Gossip framework.
|
||||
|
||||
Durable Source: `/home/allaun/Documents/ingest/extraction required/CMYKFrequencyCore.lean`
|
||||
|
||||
!! Links
|
||||
|
||||
* [[N-Folded MMR Gossip Compression]]
|
||||
* [[Delta GCL Compression]]
|
||||
* [[Golden Angle Encoding]]
|
||||
|
|
@ -0,0 +1,17 @@
|
|||
created: 20260507000000000
|
||||
modified: 20260507000000000
|
||||
tags: ResearchStack ChatGPT Conversation
|
||||
title: Chat Log 414-1043 Session
|
||||
type: text/vnd.tiddlywiki
|
||||
|
||||
! Chat Log 414-1043 Session
|
||||
|
||||
Large ChatGPT session (421KB) covering linguistic lemmas, cognitive load function specs, and formal language infrastructure. Contains `COGNITIVE_LOAD_FUNCTIONS_SPEC(4).md`.
|
||||
|
||||
Durable Source: `/home/allaun/Documents/ingest/chagpt-414-1043.md`
|
||||
|
||||
!! Links
|
||||
|
||||
* [[Cognitive Load Monitor]]
|
||||
* [[Mined Conversation Concepts]]
|
||||
* [[Full Chat Log Dumps]]
|
||||
|
|
@ -0,0 +1,18 @@
|
|||
created: 20260507000000000
|
||||
modified: 20260507000000000
|
||||
tags: ResearchStack ChatGPT Security NIICore
|
||||
title: Chat Log 414-1200 NII Core Security
|
||||
type: text/vnd.tiddlywiki
|
||||
|
||||
! Chat Log 414-1200 NII Core Security
|
||||
|
||||
ChatGPT session (240KB) unpacking and analyzing a `securityforNIIcore.zip` archive with ~100+ files. Reviews security posture of the NII Core architecture.
|
||||
|
||||
Durable Source: `/home/allaun/Documents/ingest/chagpt-414-1200.md`
|
||||
|
||||
!! Links
|
||||
|
||||
* [[NIICore Architecture]]
|
||||
* [[ENE API Hook]]
|
||||
* [[ENESecurity]]
|
||||
* [[Sigma Gate]]
|
||||
|
|
@ -0,0 +1,17 @@
|
|||
created: 20260507000000000
|
||||
modified: 20260507000000000
|
||||
tags: ResearchStack ChatGPT Conversation Math
|
||||
title: Chat Log 414-1205 Math Chat Rooms
|
||||
type: text/vnd.tiddlywiki
|
||||
|
||||
! Chat Log 414-1205 Math Chat Rooms
|
||||
|
||||
ChatGPT session (307KB) discussing algebraic bracket refinement, finding math chat rooms for notation proposals. The session maps community venues (Math Stack Exchange, math Discord servers, arXiv) for bracket reform ideas. Related to the [[Algebraic Bracket Chat Room]] Kimi conversation.
|
||||
|
||||
Durable Source: `/home/allaun/Documents/ingest/chagpt-414-1205.md`
|
||||
|
||||
!! Links
|
||||
|
||||
* [[Kimi-Algebraic Bracket Chat Room]]
|
||||
* [[Semantic Graph Mining]]
|
||||
* [[Braid Rope Fusion Shifter]]
|
||||
|
|
@ -0,0 +1,18 @@
|
|||
created: 20260507000000000
|
||||
modified: 20260507000000000
|
||||
tags: ResearchStack ChatGPT Hardware FPGA DIAT
|
||||
title: Chat Log 415-1130 DIAT Hardware
|
||||
type: text/vnd.tiddlywiki
|
||||
|
||||
! Chat Log 415-1130 DIAT Hardware
|
||||
|
||||
ChatGPT session (383KB) working with DIAT (Diatom) hardware tables: `diat_inv_table(3).mem`, `diat_sqrt_table(3).mem`, `diat_phonon_node(1).v` - Verilog hardware definitions for phonon-mediated computation. Part of the DIAT framework for biological-stiffness-aware hardware.
|
||||
|
||||
Durable Source: `/home/allaun/Documents/ingest/chatgpt_conversation_415_1130am.md`
|
||||
|
||||
!! Links
|
||||
|
||||
* [[FPGA Warden]]
|
||||
* [[ASIC Topology]]
|
||||
* [[Extremophile Constraint Layer]]
|
||||
* [[Phonon Mediated Languages]]
|
||||
|
|
@ -0,0 +1,17 @@
|
|||
created: 20260507000000000
|
||||
modified: 20260507000000000
|
||||
tags: ResearchStack ChatGPT Biology Evolution Acoustics
|
||||
title: ChatGPT Evolution and Acoustic Inference
|
||||
type: text/vnd.tiddlywiki
|
||||
|
||||
! ChatGPT Evolution and Acoustic Inference
|
||||
|
||||
ChatGPT conversation on evolution and acoustic inference (243KB JSON). Relates biology-evolution models to acoustic signal processing and inference pipelines.
|
||||
|
||||
Durable Source: `/home/allaun/Documents/ingest/ChatGPT-Evolution_and_Acoustic_Inference.json`
|
||||
|
||||
!! Links
|
||||
|
||||
* [[Waveprobe]]
|
||||
* [[Morphic DSP]]
|
||||
* [[Extremophile Constraint Layer]]
|
||||
|
|
@ -0,0 +1,27 @@
|
|||
created: 20260507000000000
|
||||
modified: 20260507000000000
|
||||
tags: ResearchStack Hardware Probing Security
|
||||
title: Hardware Probing Research Index
|
||||
type: text/vnd.tiddlywiki
|
||||
|
||||
! Hardware Probing Research Index
|
||||
|
||||
Index of hardware probing and reverse engineering research documents:
|
||||
|
||||
* Finer Hardware Probing Methods - Research Summary (15KB)
|
||||
* SSD PCIe Side Channel Probing (11KB)
|
||||
* HDMI Cleanroom Reverse Engineering Research (10KB)
|
||||
* SSD Comprehensive Analysis (9KB)
|
||||
* RAM Addressing Scheme and Circuit Wiring Analysis (9KB)
|
||||
* Realtek RTL8126 MMIO Security Analysis (8KB)
|
||||
* Mesa Drivers for AMD GPU - HDMI/DisplayPort Support Research (14KB)
|
||||
* Keyboard, Mouse, and Monitor Device Research (10KB)
|
||||
|
||||
All located in `/home/allaun/Documents/ingest/`.
|
||||
|
||||
!! Links
|
||||
|
||||
* [[HDMI Compute Fabric]]
|
||||
* [[FPGA Warden]]
|
||||
* [[ASIC Topology]]
|
||||
* [[Motherboard Computational Substrate]]
|
||||
|
|
@ -0,0 +1,18 @@
|
|||
created: 20260507000000000
|
||||
modified: 20260507000000000
|
||||
tags: ResearchStack Safety AI Swarm Security
|
||||
title: Malicious AI Swarms Democracy
|
||||
type: text/vnd.tiddlywiki
|
||||
|
||||
! Malicious AI Swarms Democracy
|
||||
|
||||
Article: "How Malicious AI Swarms Can Threaten Democracy" (PDF, 248KB). Relevant to the Research Stack's swarm safety research, swarm consensus mechanisms, and adversarial agent detection.
|
||||
|
||||
Durable Source: `/home/allaun/Documents/ingest/How_Malicious_AI_Swarms_Can_Threaten_Democracy%20%281%29.pdf`
|
||||
|
||||
!! Links
|
||||
|
||||
* [[Safety Gated Verification]]
|
||||
* [[Extremophile Constraint Layer]]
|
||||
* [[Sabotage Prevention]]
|
||||
* [[FPGA Warden]]
|
||||
|
|
@ -0,0 +1,17 @@
|
|||
created: 20260507000000000
|
||||
modified: 20260507000000000
|
||||
tags: ResearchStack Meta Communication Strategy
|
||||
title: Meme Math That Pays Rent
|
||||
type: text/vnd.tiddlywiki
|
||||
|
||||
! Meme Math That Pays Rent
|
||||
|
||||
Article "Meme Math That Pays Rent" (10KB). Discusses strategies for making mathematical research accessible and fundable through meme-format communication. Part of the Research Stack's public outreach and funding strategy.
|
||||
|
||||
Durable Source: `/home/allaun/Documents/ingest/Meme Math That Pays Rent`
|
||||
|
||||
!! Links
|
||||
|
||||
* [[Research Stack Architecture]]
|
||||
* [[Hutter Prize Compression]]
|
||||
* [[ELEVATOR PITCH]]
|
||||
|
|
@ -0,0 +1,18 @@
|
|||
created: 20260507000000000
|
||||
modified: 20260507000000000
|
||||
tags: ResearchStack Compression Gossip MKV
|
||||
title: N-Folded MMR Gossip Compression
|
||||
type: text/vnd.tiddlywiki
|
||||
|
||||
! N-Folded MMR Gossip Compression
|
||||
|
||||
N-Folded MMR (Merkle Mountain Range) Gossip protocol for generative compression via MKV containers. Source directory: `/home/allaun/Documents/ingest/extraction required/` contains multiple markdown specs and experiment Python scripts. Key documents: `N-Folded_MMR_Gossip_as_a_Generative_Compression_Mo.md`, `The_N-Folded_MMR_Gossip_Surface_as_an_LLM_KV_Cache.md`, `The_Video_File_as_a_Self-Instantiating_Weird_Machi.md`. Includes Lean formalizations (MMR Gossip + NUVMAP) and acceleration profiles.
|
||||
|
||||
Durable Source: `/home/allaun/Documents/ingest/extraction required/`
|
||||
|
||||
!! Links
|
||||
|
||||
* [[Delta GCL Compression]]
|
||||
* [[Compression and Soliton Mining]]
|
||||
* [[Hutter Prize Compression]]
|
||||
* [[Weird Machine Video]]
|
||||
|
|
@ -0,0 +1,17 @@
|
|||
created: 20260507000000000
|
||||
modified: 20260507000000000
|
||||
tags: ResearchStack S3C Integration Planning
|
||||
title: S3C Sparkle Integration Plan
|
||||
type: text/vnd.tiddlywiki
|
||||
|
||||
! S3C Sparkle Integration Plan
|
||||
|
||||
Integration plan bridging S3C (Sparse Structured Semantic Compression) with the Sparkle subsystem. 9KB document from `/home/allaun/Documents/ingest/`.
|
||||
|
||||
Durable Source: `/home/allaun/Documents/ingest/S3C Sparkle Integration Plan`
|
||||
|
||||
!! Links
|
||||
|
||||
* [[S3C MassPlus PIST Hyperbola]]
|
||||
* [[S3C Manifold Geometry]]
|
||||
* [[Sparkle Bridge]]
|
||||
|
|
@ -0,0 +1,17 @@
|
|||
created: 20260507000000000
|
||||
modified: 20260507000000000
|
||||
tags: ResearchStack KDA BFT Consensus Hardware
|
||||
title: Session Record KDA-18 BFT Judge
|
||||
type: text/vnd.tiddlywiki
|
||||
|
||||
! Session Record KDA-18 BFT Judge
|
||||
|
||||
Session record covering KDA-18 C20-C31 with BFT (Byzantine Fault Tolerance) Judge wiring. 9KB document discussing the intersection of the KDA framework with BFT consensus mechanisms and hardware wiring for judge nodes.
|
||||
|
||||
Durable Source: `/home/allaun/Documents/ingest/Session Record: KDA-18 C20-C31 + BFT Judge Wiring`
|
||||
|
||||
!! Links
|
||||
|
||||
* [[MoonRF ECP5 Hardware BFT Oracle]]
|
||||
* [[Triumvirate Enforcer]]
|
||||
* [[FPGA Warden]]
|
||||
|
|
@ -0,0 +1,17 @@
|
|||
created: 20260507000000000
|
||||
modified: 20260507000000000
|
||||
tags: ResearchStack Tracing Specification Provenance
|
||||
title: Single-State Trace Spec
|
||||
type: text/vnd.tiddlywiki
|
||||
|
||||
! Single-State Trace Spec
|
||||
|
||||
Single-State Trace Specification v0.1 (11KB). Defines a tracing format for capturing single-state transitions in the topological state machine with full provenance metadata.
|
||||
|
||||
Durable Source: `/home/allaun/Documents/ingest/Single-State Trace Spec v0.1`
|
||||
|
||||
!! Links
|
||||
|
||||
* [[Topological State Machine]]
|
||||
* [[FAMM Fast Approximate Manifold Map]]
|
||||
* [[Invariant Receipt Core]]
|
||||
|
|
@ -0,0 +1,25 @@
|
|||
created: 20260507000000000
|
||||
modified: 20260507000000000
|
||||
tags: ResearchStack Swarm Learning Agents Training
|
||||
title: Swarm Learning Resources Index
|
||||
type: text/vnd.tiddlywiki
|
||||
|
||||
! Swarm Learning Resources Index
|
||||
|
||||
Index of swarm agent learning resource documents found in ingest. These are comprehensive guides generated by ChatGPT for training swarm agents on specific technical domains:
|
||||
|
||||
* Comprehensive Physics and Engineering Learning Guide for Swarm (38KB)
|
||||
* Comprehensive Technical Standards Learning Resource for Swarm Agents (27KB)
|
||||
* Digital Platforms Learning Resource for Swarm Agents (24KB)
|
||||
* Internet Protocols Learning Resource for Swarm Agents (23KB)
|
||||
* GPU Optimization Guide for Swarm Learning (13KB)
|
||||
* ISO Standards Learning Resource for Swarm Agents (11KB)
|
||||
* Biological Systems Learning Guide for Swarm (9KB)
|
||||
|
||||
All located in `/home/allaun/Documents/ingest/`.
|
||||
|
||||
!! Links
|
||||
|
||||
* [[Swarm ENE Middleware]]
|
||||
* [[Data Ingestion Pipeline]]
|
||||
* [[Semantic Graph Mining]]
|
||||
21
6-Documentation/tiddlywiki-local/wiki/wbs_skip.README.md
Normal file
21
6-Documentation/tiddlywiki-local/wiki/wbs_skip.README.md
Normal file
|
|
@ -0,0 +1,21 @@
|
|||
# wbs_skip.txt
|
||||
|
||||
Controls what the `wiki_builder_shim` skips during source scanning.
|
||||
|
||||
## Format
|
||||
|
||||
- One pattern per line.
|
||||
- Lines starting with `#` are comments and are ignored.
|
||||
- Blank lines are ignored.
|
||||
- Each non-comment, non-blank line is matched against source file **basenames** (the filename portion of a path).
|
||||
|
||||
## Matching behavior
|
||||
|
||||
When `wiki_builder_shim` scans source directories for files to convert into tiddlers, any file whose basename matches an entry in this file is excluded — no tiddler is generated for it.
|
||||
|
||||
Matching is exact (case-sensitive). A pattern like `Tasks` matches a file literally called `Tasks`, not `tasks.md` or `my-tasks`.
|
||||
|
||||
## Tips
|
||||
|
||||
- Group related entries under `#` comment headings for readability.
|
||||
- Add new skip entries as you discover noise, duplicates, or non-ingestible files in your source tree.
|
||||
38
6-Documentation/tiddlywiki-local/wiki/wbs_skip.txt
Normal file
38
6-Documentation/tiddlywiki-local/wiki/wbs_skip.txt
Normal file
|
|
@ -0,0 +1,38 @@
|
|||
# Duplicate chat logs (same content, different filenames)
|
||||
chagpt-414-1202.md
|
||||
possible_duplicate_chatgpt_414_1210.md
|
||||
possible_duplicate_chatgpt_414_1212.md
|
||||
possible_duplicate_chatgpt_414_1214.md
|
||||
possible_duplicate_chatgpt_414_1215.md
|
||||
possible_duplicate_chatgpt_414_1220.md
|
||||
possible_duplicate_pbacs_chatgpt_414_1218.md
|
||||
kimik2.5_possible_dupe_220pm_41426.md
|
||||
|
||||
# Empty/stub files
|
||||
Tasks
|
||||
The Ending
|
||||
Articles
|
||||
metadata
|
||||
categories
|
||||
|
||||
# Binary/image-only (no extractable text)
|
||||
50bdae1f-9d35-4028-b786-407d28523f06.png
|
||||
36fa31d0-3aa4-11f1-bcea-c1819e584bd6.png
|
||||
files.zip
|
||||
braid-field-papers.zip
|
||||
|
||||
# Large database dumps (not human-readable, need dedicated ingestion)
|
||||
SOVEREIGN MATH MODEL DATABASE V2
|
||||
deletemelater
|
||||
LEAN4 STATIC TOOLCHAIN V4.30.0
|
||||
ScienceDirect articles 15Apr2026 06 46 46.627
|
||||
ChatGPT Batch 2026 05 03
|
||||
|
||||
# Manifest/export metadata (auto-generated)
|
||||
CHATGPT_LATEST_EXPORT_MANIFEST.md
|
||||
LATEST_EXPORT_MANIFEST.md
|
||||
BridgeModel_Module_Guide.md
|
||||
InvariantSurfaceConstitution_v2.md
|
||||
walkthrough_4_13_2026.md
|
||||
chatgpt_conversation.md
|
||||
freakingpaste.md
|
||||
Loading…
Add table
Reference in a new issue