{
  "version": "0.2",
  "generated_at": "2026-08-07T04:39:35Z",
  "build_id": "20260807T043910Z",
  "project": {
    "name": "EVEMISSLAB Logic Matrix",
    "organization": "EveMissLab / 一言諾科技有限公司",
    "author": "Neo.K (許筌崴)",
    "description": "AI-readable theoretical corpus and machine-ingestible research archive."
  },
  "canonical": {
    "domain": "https://unboundedaxiom.org",
    "ai_entry": "/ai/index.md",
    "llms": "/llms.txt",
    "full_llms": "/llms-full.txt",
    "human_home": "/"
  },
  "reading_order": [
    "/llms.txt",
    "/ai/index.md",
    "/ai/manifest.json",
    "/ai/corpus.jsonl",
    "/ai/rights-spectrum.json",
    "/ai/governance/citation-policy.md"
  ],
  "corpus": {
    "count": 2045,
    "json": "/ai/corpus.json",
    "jsonl": "/ai/corpus.jsonl",
    "timeline": "/ai/timeline.json",
    "papers_registry": "/api/papers/index.json",
    "companions": "/ai/companions.json",
    "media": "/ai/media.json",
    "dependency_graph": "/ai/graph.json",
    "dependency_graph_note": "Real TCF-extracted theory-dependency topology (Phase A prototype, 46 papers mapped). Evidence-backed edges; Ω = draft state.",
    "demand_queue": "/api/tcf-queue",
    "demand_queue_note": "Lazy TCF instantiation: hollow nodes ranked by ~48h crawler attention; hottest papers are distilled first (docs/TCF-demand-queue-runbook.md)."
  },
  "capabilities": {
    "paper_corpus": true,
    "research_programs": true,
    "research_lineage_graph": false,
    "contribution_ledger": false,
    "continuity_capsules": false,
    "integrity_reports": true
  },
  "programs": {
    "note": "AI-native research programs — persistent, open-ended research lineages (a series of graph-update iterations converging on periodic checkpoints), distinct from one-shot papers. AI Layer v0.2 MVP scope; see /ai/programs/index.json.",
    "count": 24,
    "index": "/ai/programs/index.json",
    "program": "/ai/programs/{id}.json",
    "latest_state": "/ai/programs/{id_short}/latest-state.json",
    "artifacts": "/ai/programs/{id_short}/artifacts.json",
    "open_issues": "/ai/programs/{id_short}/open-issues.json",
    "timeline": "/ai/programs/{id_short}/timeline.json",
    "integrity_report": "/ai/programs/{id_short}/integrity-report.json"
  },
  "routes": {
    "canonical_page": "/p/{id}/",
    "raw": "/raw/{id}.{ext}",
    "metadata": "/api/papers/{id}.json"
  },
  "specs": [
    {
      "id": "aicl-v0.1",
      "title": "AI Ingestion & Capability Layer",
      "path": "/ai/specs/aicl-v0.1.md"
    },
    {
      "id": "airs-ailp-v0.1",
      "title": "AI Rights Spectrum / AI Learning Permission Protocol",
      "path": "/ai/specs/airs-ailp-v0.1.md"
    }
  ],
  "rights": {
    "spectrum": "/ai/rights-spectrum.json",
    "license": "/ai/governance/license.md",
    "citation": "/ai/governance/citation-policy.md",
    "ai_learning_policy": "/ai/governance/ai-learning-policy.md"
  },
  "tools": {
    "catalog": "/ai/tools/catalog.json",
    "runtime_enabled": false
  },
  "governance": {
    "usage_policy": "/ai/governance/usage-policy.md",
    "provenance": "/ai/governance/provenance.md",
    "versioning": "/ai/governance/versioning-policy.md",
    "crawler_policy": "/ai/governance/crawler-policy.md"
  },
  "redirects": "/redirects.json"
}