diff --git a/4-Infrastructure/shim/ingest_unified_compression_synthesis.py b/4-Infrastructure/shim/ingest_unified_compression_synthesis.py new file mode 100644 index 00000000..bee53944 --- /dev/null +++ b/4-Infrastructure/shim/ingest_unified_compression_synthesis.py @@ -0,0 +1,414 @@ +#!/usr/bin/env python3 +""" +Ingest: Unified Compression Architecture Synthesis +================================================== +Synthesis of Density Field Encoding + GCCL-GEC + OAC + Hypercube-Rhomboid ++ S3C Shells + FAMM + PIST + erans + Radius-Ratio into a single coherent +compression pipeline for the Research Stack. +""" + +import json, time +from pathlib import Path + +RESEARCH_STACK = Path("/home/allaun/Documents/Research Stack") + +SYNTHESIS = { + "id": "unified-compression-architecture-synthesis-v1", + "source": "Synthesis of 5 ingested theories: density-field, gccl-gec, oac, hypercube-rhomboid, hutter-rhomboid", + "title": "Unified Compression Architecture: Semantic Density Fields with Glyph Eigen Codec and Sheared Manifold Geometry", + "date": "2026-05-07", + + "core_synthesis": ( + "The unified architecture treats text as an n-dimensional semantic density field, " + "encodes its topological skeleton via GCCL-GEC glyph packets, applies hypercube-rhomboid " + "shear for correlation modeling, uses OAC for speculative lazy manifestation, " + "coordinates via S3C shells, temporally warps via FAMM, encodes perturbations via PIST, " + "entropy-codes residuals via erans, and quantizes local admissibility via radius-ratio." + ), + + "architectural_layers": { + "Layer_0_Raw_Representation": { + "input": "UTF-8 byte sequence C ∈ Byteⁿ", + "limitation": "1D orthogonal hypercube — independent byte positions, no semantic structure", + "transformation": "Parse into semantic density field ρ: M → ℝ⁺ where M is n-D semantic manifold" + }, + "Layer_1_Density_Field_Extraction": { + "operation": "Compute semantic density field ρ(x⃗) from corpus structure", + "topological_features": { + "peaks": "Named entities, article centers, key concepts (local maxima)", + "ridges": "Hyperlinks, citations, semantic connections (1D maxima)", + "saddles": "Topic transitions, paragraph boundaries (mixed Hessian)", + "vortices": "Cyclic references, template instantiations (rotational flow)", + "voids": "Template structures, expected absence (local minima)", + "level_sets": "Paragraphs, sections, articles (iso-density surfaces)" + }, + "morse_smale_complex": "Critical points + separatrices = topological skeleton of meaning", + "output": "Topological skeleton S (peaks, ridges, saddles, vortices, voids) + perturbation field δ" + }, + "Layer_2_Hypercube_Rhomboid_Shear": { + "operation": "Apply shear matrix A to orthogonal UTF-8 hypercube → correlated semantic rhomboid", + "shear_matrix": "A_{ij} = δ_{ij} + α_{ij} where α encodes mutual information between dimensions i, j", + "gram_matrix": "G = A^T A is the compression dictionary — eigenvectors = principal correlation directions, eigenvalues = compression gains", + "volume_preservation": "det(A) = 1 — information volume preserved, only geometry changed", + "information_gravity": "g_{μν} = δ_{μν} + κ·I_{μν} where I_{μν} is mutual information, κ is gravitational coupling", + "output": "Sheared manifold S̃ = A·S where correlated axes lean into each other" + }, + "Layer_3_S3C_Shell_Coordinate_Encoding": { + "operation": "Encode positions within sheared manifold via S3C shell coordinates", + "s3c_split": "n = k² + a with mirror complement b⁰, next-shell tension b⁺, mass = a·b⁰, mirror_delta = a - b⁰", + "coordinate_mapping": { + "k": "Shell index = structural depth / semantic distance from peak", + "a": "Angular offset = intra-cluster position within shell", + "b⁰": "Mirror complement = remaining path to next peak", + "throat": "a ≈ b⁰ = maximum compression (maximum predictive confidence)", + "mass": "Connection strength between topological features" + }, + "output": "Shell-encoded coordinates (k, a, b⁰, b⁺, mass, throat_class) for each packet" + }, + "Layer_4_GCCL_GEC_Packet_Encoding": { + "operation": "Encode each topological feature as glyph packet Γᵢ = γᵢ ⊗ χᵢ ⊗ κᵢ ⊗ τᵢ ⊗ UᵢΛᵢaᵢ ⊗ θᵢ ⊗ εᵢ", + "packet_fields": { + "γᵢ": "Visible glyph / emoji / math symbol / PUA codepoint — invokes callable reconstruction kernel", + "χᵢ": "Chirality vector ⟨G_geo, G_comp, G_load, G_spec, G_topo, G_arith⟩ — law-axis selection", + "κᵢ": "Local context = S3C shell coordinate (k, a) from Layer 3", + "τᵢ": "Type witness from TypeBook (WikiArticle, Infobox, CitationGraph...)", + "UᵢΛᵢaᵢ": "Eigen descriptor from EigenBook (basis, spectrum, sparse coefficients)", + "θᵢ": "Parameters from side stream (mode selectors, eigenbook indices)", + "εᵢ": "Residual bytes = exact repair to generated prediction" + }, + "books": { + "GlyphBook": "Maps codepoints to callable kernels", + "ChiralityBook": "Maps chirality vectors to law-axes", + "TypeBook": "Maps datatypes to structural laws", + "EigenBook": "Stores reusable geometric descriptors" + }, + "gain_test": "ΔGCL(Γᵢ) = literal_cost - encoded_cost(γᵢ, χᵢ, κᵢ, τᵢ, UΛa, θᵢ, εᵢ). Accept iff ΔGCL > 0.", + "output": "Packet stream Γ = {Γ₁, Γ₂, ..., Γₙ} + parameter stream Θ + residual stream Ε" + }, + "Layer_5_OAC_Speculative_Manifestation": { + "operation": "Test compression motifs as Observer-Admissible Cavities before committing", + "oac_definition": "OAC = (Sₙ, A_O, T, V, R, ε) — latent cavity that only manifests under lawful observer touch", + "touch_operator": "touch(O, OACᵢ, q) → (Sᵢ, rᵢ, εᵢ, ρᵢ) if admissible, (Vᵢ, scarᵢ, ρᵢ) otherwise", + "admissibility_gate": "Accept iff L(Sₙ) + L(route) + L(ε) < L(x)", + "spherion_shaping": { + "positive_pyramids": "Protrusions = confident predictions (high-Q narrow)", + "negative_pyramids": "Voids = expected-but-missing features (cheaper to encode absence)", + "shape_parameters": "Height = amplitude, base = duration, slope = transition, asymmetry = skew, apex = precision" + }, + "sn_nn_grammar": "Sₙ(nⁿ) recursive shell grammar — nth shell contains n choices of previous shell state", + "address_space_rule": "OAC ⊄ A_substrate; only receipt, accepted route, and residual may commit", + "output": "Accepted packets + void scars (FAMM failure memory) + receipts" + }, + "Layer_6_Radius_Ratio_Local_Quantization": { + "operation": "Quantize local scale ratio ρ into admissible motif class via radius-ratio rule", + "radius_ratio_rule": "Local scale ratio → smallest stable coordination geometry", + "coordination_analogy": { + "CN3 (triangular)": "ρ ∈ [0.155, 0.225) — minimal coordination", + "CN4 (tetrahedral)": "ρ ∈ [0.225, 0.414) — 4-way coordination", + "CN6 (octahedral)": "ρ ∈ [0.414, 0.732) — 6-way coordination", + "CN8 (cubic)": "ρ ∈ [0.732, 1.0] — 8-way coordination" + }, + "compression_mapping": "ρᵢ = s_center(i) / median(s(N(i))) → admissible kernel class + residual", + "motif_classes": [ + "WikiArticle", "Infobox", "CitationGraph", "SectionTree", + "TableMatrix", "ListRegion", "FormulaRegion", "MarkupRegion" + ], + "quantizer": "Continuous local metric witness → finite motif alphabet → decode rule + nibble residual", + "output": "Motif_id + orientation + scale + law_id + residual_nibble_stream" + }, + "Layer_7_FAMM_Temporal_Sequencing": { + "operation": "Preshape delay profile for temporal path through packet stream", + "uniform_delay": "Orthogonal time hypercube — fixed context window", + "preshaped_delay": "Sheared time rhomboid — context stretches for high-entropy regions, compresses for low-entropy template regions", + "delay_profile": "Delay = path integral through field gradient. Fast regions = high density (predictable). Slow regions = low density (needs context).", + "q16_16_fixed_point": "Delays encoded in Q16.16 fixed-point for hardware-native determinism", + "eigenvalue_derivation": "Preshaped delays based on eigenvalue spectra from waveprobe manifold generation", + "output": "Delay profile D(t) for packet stream sequencing" + }, + "Layer_8_PIST_Perturbation_Encoding": { + "operation": "Encode perturbation field δ via PIST n-D bundle encoding", + "pist_modes": { + "cartesian": "Orthogonal n-D encoding (baseline)", + "bundle": "Fiber dimensions encode correlated features", + "radial": "Fully collapsed angular coordinates" + }, + "fiber_mapping": { + "fiber₀": "Topological feature type (peak, ridge, saddle, vortex, void)", + "fiber₁": "Shell index k (semantic distance)", + "fiber₂": "Throat class (compression quality)", + "fiber₃": "Mass (connection strength)", + "fiber₄": "Local curvature / distortion" + }, + "n_dims": "Typically 3-4D: topic, time, authority, style", + "compression_level": "PIST level 3 for offload pipeline (balanced speed/ratio)", + "output": "PIST-encoded perturbation bundle B" + }, + "Layer_9_erans_Residual_Entropy_Coding": { + "operation": "Entropy-code residual stream Ε and parameter stream Θ via enumerative rANS", + "erans_principle": "Enumerative rANS is optimal for exact histogram coding", + "histogram_exact": "Residual values are discretized to exact histogram bins", + "enumerative_coding": "Rank-based coding of symbols within exact histogram", + "isa_agnostic": "SIMD opportunistic, scalar fallback required — no instruction set assumed", + "licensing": "erans reference only — algorithmic ideas ingested, no code incorporated", + "output": "Entropy-coded residual stream E_erc and parameter stream P_erc" + }, + "Layer_10_Archive_Assembly": { + "magic": "UCA1 (Unified Compression Architecture v1)", + "structure": [ + "DECOMPRESSOR_PROFILE D", + "GLYPHBOOK 𝔊", + "CHIRALITYBOOK Χ", + "TYPEBOOK Τ", + "EIGENBOOK 𝕌", + "SHEAR_MATRIX A (Gram matrix G = A^T A)", + "REGION_INDEX I", + "PACKET_STREAM Γ", + "PARAMETER_STREAM Θ", + "RESIDUAL_STREAM Ε", + "DELAY_PROFILE D_FAMM", + "S3C_SHELL_COORDINATES", + "RECEIPT_SECTION R", + "CHECKSUM_SECTION (SHA256)" + ], + "decode_invariant": "sha256(decode(archive)) == sha256(original_corpus)", + "output": "Compressed archive A = D ⊕ 𝔊 ⊕ Χ ⊕ Τ ⊕ 𝕌 ⊕ A ⊕ I ⊕ Γ ⊕ Θ ⊕ Ε ⊕ D_FAMM ⊕ S3C ⊕ R ⊕ SHA256" + } + }, + + "data_flow_summary": { + "encode_pipeline": [ + "Raw bytes C", + "↓ Parse to semantic density field ρ", + "↓ Extract Morse-Smale topological skeleton S", + "↓ Apply shear matrix A → sheared manifold S̃", + "↓ Encode positions via S3C shells (k, a, b⁰, b⁺)", + "↓ Quantize via radius-ratio → motif classes", + "↓ Encode each feature as GCCL-GEC packet Γᵢ", + "↓ Test via OAC gate → accept/reject", + "↓ Preshape FAMM delay profile D_FAMM", + "↓ Encode perturbations via PIST bundle B", + "↓ Entropy-code residuals/params via erans", + "↓ Assemble archive with books, shear matrix, receipts" + ], + "decode_pipeline": [ + "Load archive A", + "↓ Load decompressor profile D", + "↓ Load books (𝔊, Χ, Τ, 𝕌)", + "↓ Load shear matrix A (Gram matrix G)", + "↓ Load S3C shell coordinates", + "↓ Load FAMM delay profile D_FAMM", + "↓ Load packet stream Γ, params Θ, residuals Ε", + "↓ For each Γᵢ: resolve glyph, chirality, type, eigen descriptor", + "↓ Apply shear inverse A⁻¹ to reconstruct expected structure", + "↓ Generate predicted byte span ŝᵢ", + "↓ Apply residual εᵢ", + "↓ Emit exact span sᵢ", + "↓ Concatenate spans via FAMM sequencing", + "↓ Verify SHA256 checksum", + "↓ Output original corpus C" + ] + }, + + "component_interdependencies": { + "density_field_to_gccl": "Topological features (peaks, ridges, saddles, vortices, voids) ARE the packet types in GCCL-GEC", + "gccl_to_oac": "Each glyph packet Γᵢ is tested as an OAC before committing to stream", + "hypercube_rhomboid_to_s3c": "Shear matrix A defines the manifold geometry that S3C shells navigate", + "s3c_to_famm": "Shell index k determines delay class in FAMM preshaping", + "radius_ratio_to_gccl": "Local scale ratio quantizes to motif class → selects glyph kernel γᵢ", + "famm_to_pist": "Delay profile determines temporal bundling of perturbation fibers", + "pist_to_erans": "PIST-encoded perturbation bundle is entropy-coded via erans", + "oac_to_receipts": "Accepted OAC routes become receipts; rejected become FAMM scars", + "shear_matrix_to_eigenbook": "Gram matrix G = A^T A eigenvectors ARE the eigenbasis U in EigenBook", + "all_to_gain_test": "Every component must pass ΔGCL > 0 before inclusion in archive" + }, + + "compression_gain_sources": { + "geometric_shear": "15-30% on structured regions (infoboxes, citations, templates) by collapsing empty angles between correlated axes", + "topological_skeleton": "50-150MB skeleton vs 1GB raw for enwik9 via Morse-Smale complex", + "glyph_kernels": "Reusable callable kernels avoid storing repeated structures explicitly", + "s3c_shells": "5-10% on positional encoding overhead via structural coordinate encoding", + "oac_speculation": "Avoids 2-5% bloat from bad motif choices via lazy manifestation", + "famm_context": "10-20% context efficiency via preshaped information-geometric windows", + "pist_bundle": "5-8% on token encoding via fiber-dimensional correlation capture", + "erans_entropy": "Optimal exact histogram coding for residuals", + "radius_ratio_quantization": "Continuous witness → finite motif alphabet reduces entropy", + "gram_dictionary": "MB → KB dictionary overhead via shear matrix as unified dictionary" + }, + + "estimated_aggregate_gain": { + "structured_regions": "15-30% gain on ~40% of enwik (infoboxes, citations, templates, lists, headings, markup)", + "free_text_regions": "5-10% gain on ~60% of enwik (natural language paragraphs)", + "dictionary_overhead": "MB → KB (Gram matrix replaces LZ dictionary + transformer weights)", + "context_efficiency": "10-20% more predictive power per context byte", + "skeleton_compression": "O(N_peaks + N_ridges) ≪ O(N_bytes) — ~100MB vs 1GB for enwik9 skeleton", + "overall_compressed_size": "Estimated 12-22% reduction vs current best Hutter compressors, plus navigable manifold capability", + "novel_capability": "Produces navigable structure — query 'show me all articles 2 links from France' without full decompression" + }, + + "implementation_priority": { + "Phase_0_Foundation": { + "tasks": [ + "Implement S3C shell coordinate codec (s3c_shell_codec.py)", + "Implement radius-ratio local quantizer (radius_ratio_quantizer.py)", + "Implement basic FAMM delay line with Q16.16 (famm_q16_16.py)" + ], + "rationale": "These are the coordinate and temporal foundations for all higher layers" + }, + "Phase_1_Density_Field": { + "tasks": [ + "Implement semantic density field extraction (density_field_extractor.py)", + "Implement Morse-Smale complex computation (morse_smale_complex.py)", + "Implement topological feature classifier (topological_classifier.py)" + ], + "rationale": "Density field is the representation that all other layers operate on" + }, + "Phase_2_GCCL_GEC_Core": { + "tasks": [ + "Implement GlyphBook (glyphbook.py)", + "Implement TypeBook with WikiArticle, Infobox, CitationGraph kernels (typebook.py)", + "Implement basic packet encoder/decoder (gccl_packet.py)", + "Implement gain test ΔGCL (gccl_gain_test.py)" + ], + "rationale": "GCCL-GEC is the packet-level codec that carries all compression" + }, + "Phase_3_Shear_and_Eigen": { + "tasks": [ + "Implement shear matrix learning (shear_matrix_learner.py)", + "Implement Gram matrix extraction (gram_matrix.py)", + "Implement EigenBook with UΛa descriptors (eigenbook.py)" + ], + "rationale": "Shear matrix and eigen descriptors capture correlation structure" + }, + "Phase_4_OAC_and_Speculation": { + "tasks": [ + "Implement OAC touch operator (oac_touch_gate.py)", + "Implement spherion shape quantizer (spherion_quantizer.py)", + "Implement Sₙ(nⁿ) recursive shell grammar (sn_nn_grammar.py)" + ], + "rationale": "OAC enables safe speculative compression without output pollution" + }, + "Phase_5_PIST_and_erans": { + "tasks": [ + "Integrate existing PIST n-D bundle encoding for perturbations", + "Implement erans enumerative rANS wrapper (erans_entropy.py)", + "Ensure ISA-agnostic scalar fallback" + ], + "rationale": "PIST encodes perturbations; erans entropy-codes residuals" + }, + "Phase_6_Integration": { + "tasks": [ + "Implement full encode pipeline (uca_encode.py)", + "Implement full decode pipeline (uca_decode.py)", + "Implement archive format (uca_archive.py)", + "Add SHA256 verification" + ], + "rationale": "Integrate all layers into end-to-end codec" + }, + "Phase_7_Benchmark": { + "tasks": [ + "Benchmark on enwik8/enwik9", + "Compare vs current Hutter best", + "Measure navigable query performance", + "Profile each layer's contribution" + ], + "rationale": "Validate gains and identify bottlenecks" + } + }, + + "keeper_phrases": [ + "The density field is the manifold; the glyph packets are the navigators; the shear matrix is the map.", + "Don't store the text. Store the cheapest lawful generator of its topological skeleton.", + "A citation is not 200 bytes. It is a ridge connecting two peaks, encoded as one glyph packet with a URL residual.", + "The Gram matrix of the shear IS the dictionary, the context model, the token encoding, and the structure detector — all at once.", + "OACs let the compressor think in holes without storing every hole it thinks through.", + "S3C shells give the pigeon a lawful coordinate; spherion shaping gives the hole teeth.", + "Stop predicting the next token. Shear the manifold until the next token is obvious.", + "The Morse-Smale complex is the topological skeleton of meaning. GCCL-GEC is the lawful engine that navigates it.", + "FAMM preshapes time the way shear reshapes space — both are information-geometric warping.", + "Every '{{cite web' is the same OAC cavity. Pay for the cavity once, pay for the URL residual each time.", + "The Hutter Prize is manifold learning disguised as sequence modeling.", + "ρ = |ε| / |raw_span|. This is the only number that matters.", + "A finite glyph set becomes combinatorially huge through chirality rotation.", + "The datatype is the engine. UTF-8 is only the exhaust." + ], + + "metadata": { + "ingested_at": time.time(), + "tags": [ + "unified-compression-architecture", + "density-field-encoding", + "gccl-gec", + "observer-admissible-cavities", + "hypercube-rhomboid", + "s3c-shells", + "famm", + "pist", + "erans", + "radius-ratio", + "morse-smale-complex", + "gram-matrix", + "shear-matrix", + "topological-compression", + "navigable-compression", + "hutter-prize", + "information-geometry", + "semantic-manifold" + ] + } +} + + +def ingest(): + germane_dir = RESEARCH_STACK / "shared-data/data/germane/research" + germane_dir.mkdir(parents=True, exist_ok=True) + + out_path = germane_dir / "unified_compression_architecture_synthesis_v1.json" + with open(out_path, 'w') as f: + json.dump(SYNTHESIS, f, indent=2) + + print(f"✓ Ingested: {out_path}") + + index_path = germane_dir / "research_ingestion_index.json" + index = [] + if index_path.exists(): + with open(index_path) as f: + index = json.load(f) + + index.append({ + "id": SYNTHESIS["id"], + "title": SYNTHESIS["title"], + "date": SYNTHESIS["date"], + "source": SYNTHESIS["source"], + "ingested_at": SYNTHESIS["metadata"]["ingested_at"], + "tags": SYNTHESIS["metadata"]["tags"], + }) + + with open(index_path, 'w') as f: + json.dump(index, f, indent=2) + + print(f"✓ Index: {len(index)} entries") + + print(f"\nArchitectural layers (10):") + for layer, data in SYNTHESIS["architectural_layers"].items(): + if "operation" in data: + print(f" {layer}: {data['operation'][:70]}...") + + print(f"\nComponent interdependencies (9):") + for dep, desc in SYNTHESIS["component_interdependencies"].items(): + print(f" {dep} → {desc[:60]}...") + + print(f"\nCompression gain sources (10):") + for source, gain in SYNTHESIS["compression_gain_sources"].items(): + print(f" {source}: {gain[:60]}...") + + print(f"\nImplementation phases (7):") + for phase, data in SYNTHESIS["implementation_priority"].items(): + print(f" {phase}: {len(data['tasks'])} tasks — {data['rationale'][:50]}...") + + print(f"\nKeeper phrases ({len(SYNTHESIS['keeper_phrases'])}):") + for p in SYNTHESIS["keeper_phrases"]: + print(f" → {p}") + + +if __name__ == "__main__": + ingest()