index.json

{
  "schema_version": 1,
  "updated": "2026-07-18",
  "repo": "https://github.com/OpenCnid/pcf-adaptive-agents",
  "notes": [
    {
      "id": "2025-polymorphic-combinatorial-frameworks",
      "path": "density-chain.md",
      "title": "Polymorphic Combinatorial Frameworks (PCF): Guiding the Design of Mathematically-Grounded, Adaptive AI Agents",
      "authors": [
        "David Pearl",
        "Matthew Murphy",
        "James Intriligator"
      ],
      "lab": "tufts",
      "year": 2025,
      "venue": "arXiv preprint (cs.AI; math.CO; stat.CO)",
      "canonical": "https://arxiv.org/abs/2508.01581",
      "published": null,
      "pinned_version": "arXiv:2508.01581v1",
      "pinned_date": "2025-08-03",
      "source_license": "CC BY 4.0",
      "date_summarized": "2026-07-18",
      "verified_against_source": "2026-07-19",
      "tier_budget_words": 150,
      "tags": ["adaptive-agents", "agent-design", "meta-prompting", "topos-theory", "sheaf-theory", "rough-fuzzy-sets", "monte-carlo", "llm"]
    }
  ]
}