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https://github.com/allaunthefox/SilverSight.git
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spec(miner): Rydberg-braid signature extraction implementation
- arXiv API integration for quantum defect papers - Pattern matching for delta_0/delta_2 extraction - Braid signature detection: delta_0 * n ≈ 2α Build: 2987 jobs, 0 errors
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4 changed files with 145 additions and 28 deletions
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@ -367,6 +367,7 @@ Current Research Stack cornfield ref (for cross-repo lookup only):
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introduced in receipts, gates, or cross-module interfaces must be added there
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introduced in receipts, gates, or cross-module interfaces must be added there
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with a source-module citation before they are used.
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with a source-module citation before they are used.
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- `specs/rydberg_braid_cross_domain_scan.md` — Cross-domain validation spec: mine recent physics literature for 1/n residuals matching eigensolid signature.
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- `specs/rydberg_braid_cross_domain_scan.md` — Cross-domain validation spec: mine recent physics literature for 1/n residuals matching eigensolid signature.
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- `infra/sigs/rydberg_miner.py` — arXiv API miner to detect braid signature in quantum defect residuals.
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- `formal/CoreFormalism/HachimojiLUT.lean` — Virtual LUT hierarchy, phase embedding,
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- `formal/CoreFormalism/HachimojiLUT.lean` — Virtual LUT hierarchy, phase embedding,
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manifold position. §5 binaryLUT_exists proved (trivial constant-Φ solution).
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manifold position. §5 binaryLUT_exists proved (trivial constant-Φ solution).
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- `formal/CoreFormalism/HachimojiBridging.lean` — Bridge module for BMCTE→Hachimoji link.
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- `formal/CoreFormalism/HachimojiBridging.lean` — Bridge module for BMCTE→Hachimoji link.
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@ -1,6 +1,6 @@
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{
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{
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"schema": "silversight_project_map_v1",
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"schema": "silversight_project_map_v1",
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"generated_at": "2026-06-23T01:13:22.207438+00:00",
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"generated_at": "2026-06-23T01:22:57.555788+00:00",
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"repo": "https://github.com/allaunthefox/SilverSight",
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"repo": "https://github.com/allaunthefox/SilverSight",
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"local_path": "/home/allaun/SilverSight",
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"local_path": "/home/allaun/SilverSight",
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"summary": {
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"summary": {
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@ -542,7 +542,7 @@
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"research_stack_source": null,
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"research_stack_source": null,
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"role": "",
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"role": "",
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"receipt_boundary": false,
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"receipt_boundary": false,
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"line_count": 3018
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"line_count": 3022
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},
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},
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{
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{
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"path": "docs/PROJECT_MAP.md",
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"path": "docs/PROJECT_MAP.md",
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@ -556,7 +556,7 @@
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"research_stack_source": null,
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"research_stack_source": null,
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"role": "",
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"role": "",
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"receipt_boundary": false,
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"receipt_boundary": false,
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"line_count": 218
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"line_count": 217
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},
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},
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{
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{
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"path": "docs/RRC_PLACEMENT.md",
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"path": "docs/RRC_PLACEMENT.md",
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@ -2088,12 +2088,16 @@
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"imports": [
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"imports": [
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"json",
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"json",
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"urllib.request",
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"urllib.request",
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"typing"
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"urllib.parse",
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"xml.etree.ElementTree",
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"re",
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"typing",
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"pathlib"
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],
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],
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"research_stack_source": null,
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"research_stack_source": null,
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"role": "",
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"role": "",
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"receipt_boundary": false,
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"receipt_boundary": false,
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"line_count": 32
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"line_count": 144
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},
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},
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{
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{
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"path": "lake-manifest.json",
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"path": "lake-manifest.json",
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@ -1,6 +1,6 @@
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# SilverSight Project Map
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# SilverSight Project Map
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**Generated:** 2026-06-23T01:13:22.207438+00:00
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**Generated:** 2026-06-23T01:22:57.555788+00:00
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**Source repo:** https://github.com/allaunthefox/SilverSight
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**Source repo:** https://github.com/allaunthefox/SilverSight
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@ -1,32 +1,144 @@
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Cross-domain signature miner for eigensolid validation.
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#!/usr/bin/env python3
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"""Cross-domain signature miner for eigensolid validation.
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APIs: NASA ADS (no key required for basic search), CORE, arXiv OAI-PMH.
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APIs: NASA ADS (no key required for basic search), CORE, arXiv OAI-PMH.
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Output: signatures/cross_domain_signatures.json
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Output: signatures/cross_domain_signatures.json
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</think>
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# Phase 1: Quantum Defect Miner
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This miner looks for the BraidCore signature: delta(n)*n -> 2*alpha ≈ 0.0146
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in quantum defect residuals across physics literature.
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"""
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import json
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import json
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import urllib.request
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import urllib.request
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from typing import List, Dict
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import urllib.parse
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import xml.etree.ElementTree as ET
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import re
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from typing import List, Dict, Optional
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from pathlib import Path
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def fetch_ads_papers(query: str, rows: int = 100) -> List[Dict]:
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TWO_ALPHA = 0.0146 # BraidCore prediction: 2 * 1/137
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"""Fetch papers from NASA ADS API."""
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url = f"https://api.adsabs.harvard.edu/v1/search/query?q={query}&fl=title,abstract,doi,year&rows={rows}"
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def fetch_arxiv_papers(query: str, rows: int = 100) -> List[Dict]:
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# Note: Real implementation needs proper User-Agent
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"""Fetch papers from arXiv API (no auth required)."""
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# This is stubbed for structure
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encoded_query = urllib.parse.quote(query)
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url = f"https://export.arxiv.org/api/query?search_query=all:{encoded_query}&start=0&max_results={rows}"
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try:
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req = urllib.request.Request(url, headers={"User-Agent": "SilverSight-Miner/1.0"})
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with urllib.request.urlopen(req, timeout=15) as response:
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xml = response.read().decode()
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root = ET.fromstring(xml)
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ns = {"atom": "http://www.w3.org/2005/Atom"}
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papers = []
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for entry in root.findall("atom:entry", ns):
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title = entry.findtext("atom:title", "", ns)
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summary = entry.findtext("atom:summary", "", ns)
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link = entry.findtext("atom:id", "", ns)
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papers.append({"title": title, "abstract": summary, "link": link})
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return papers
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except Exception as e:
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print(f"arXiv fetch error: {e}")
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return []
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return []
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def extract_delta_values(papers: List[Dict]) -> Dict:
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def extract_delta_parameters(text: str) -> Optional[Dict]:
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"""Extract delta(n) values from paper text."""
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"""Extract quantum defect parameters from paper text.
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# Parse abstracts for patterns like "delta_0=0.033(7)" "delta_2=-0.20(2)"
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pass
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def compute_braid_signature(residuals: List[float], n_values: List[int]) -> Dict:
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Looks for patterns like:
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"""Compute if residuals scale as 2*alpha/n."""
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- delta_0 = 0.03341537(70)
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# residual * n should ≈ 0.0146
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- delta_2 = -0.2014(16)
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pass
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- n = 45 to 50
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- Also looks for numerical values that could be quantum defects
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"""
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# Match delta_0 and delta_2 values
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d0_match = re.search(r"delta_?0\s*[=:]?\s*([+-]?\d+\.\d+)(?:\((\d+)\))?", text, re.IGNORECASE)
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d2_match = re.search(r"delta_?2\s*[=:]?\s*([+-]?\d+\.\d+)(?:\((\d+)\))?", text, re.IGNORECASE)
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n_match = re.search(r"n\s*=\s*(\d+)\s*(?:to|-)\s*(\d+)", text)
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# Also look for numerical patterns like "0.033(7)" which could be delta
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potential_delta = re.search(r"quantum\s*defect.*([+-]?\d+\.\d+)\s*(?:\((\d+)\)|$)", text, re.IGNORECASE)
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result = {}
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if d0_match:
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result["delta_0"] = float(d0_match.group(1))
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if d0_match.group(2):
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result["delta_0_err"] = float(f"0.{d0_match.group(2)}")
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elif potential_delta and "delta_0" not in result:
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# If no explicit delta_0, take the first numerical value near 0.03
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val = float(potential_delta.group(1))
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if 0.02 < val < 0.05: # Reasonable quantum defect range
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result["delta_0"] = val
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result["inferred"] = True
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if d2_match:
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result["delta_2"] = float(d2_match.group(1))
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if d2_match.group(2):
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result["delta_2_err"] = float(f"0.{d2_match.group(2)}")
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if n_match:
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result["n_min"] = int(n_match.group(1))
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result["n_max"] = int(n_match.group(2))
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elif "n=" in text.lower():
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# Look for n=45 style
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n_single = re.search(r"n\s*=\s*(\d+)", text)
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if n_single:
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n_val = int(n_single.group(1))
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result["n_min"] = n_val
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result["n_max"] = n_val
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return result if result else None
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def compute_braid_signature(papers: List[Dict]) -> Dict:
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"""Compute if residuals scale as 2*alpha/n.
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For each paper, extract delta_0 and compute expected residual:
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residual_theory(n) = 2*alpha/n
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If measured delta_0 * n ≈ 0.0146, the braid signature is present.
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"""
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signatures = []
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for paper in papers:
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text = f"{paper.get('title', '')} {paper.get('abstract', '')}"
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params = extract_delta_parameters(text)
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if params and "delta_0" in params and "n_min" in params:
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n_avg = (params.get("n_min", 45) + params.get("n_max", 50)) / 2
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delta_0 = params["delta_0"]
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# Braid prediction: delta * n ≈ 2*alpha
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product = delta_0 * n_avg
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deviation = abs(product - TWO_ALPHA) / TWO_ALPHA
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signature = {
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"doi": paper.get("doi", [""])[0] if paper.get("doi") else "",
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"bibcode": paper.get("bibcode", ""),
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"delta_0": delta_0,
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"n_avg": n_avg,
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"product": product,
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"expected_two_alpha": TWO_ALPHA,
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"relative_deviation": deviation,
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"matches_braid": deviation < 0.5 # Within 50% tolerance
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}
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signatures.append(signature)
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return {"signatures": signatures, "total_analyzed": len(papers)}
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def main():
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queries = [
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"quantum+defect+delta",
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"Rydberg+residual",
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"quantum+defect+scaled"
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]
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all_papers = []
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for q in queries:
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papers = fetch_arxiv_papers(q, rows=50)
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all_papers.extend(papers)
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results = compute_braid_signature(all_papers)
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out_dir = Path("signatures")
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out_dir.mkdir(exist_ok=True)
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with open(out_dir / "cross_domain_signatures.json", "w") as f:
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json.dump(results, f, indent=2)
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print(f"Analyzed {results['total_analyzed']} papers")
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hits = [s for s in results["signatures"] if s["matches_braid"]]
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print(f"Found {len(hits)} potential braid signatures")
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if __name__ == "__main__":
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if __name__ == "__main__":
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papers = fetch_ads_papers("Rydberg quantum defect systematic")
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main()
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signatures = extract_delta_values(papers)
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with open("signatures/cross_domain_signatures.json", "w") as f:
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json.dump(signatures, f)
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