{
  "type": "infoblock_context_packet",
  "version": "0.1-test",
  "generated_at": "2026-05-28T12:42:07Z",
  "query": {
    "source_id": "M-2239",
    "mode": "free_static",
    "depth": 1
  },
  "policy": {
    "full_content_for": "exact_hit_only",
    "linked_blocks": "cards_only",
    "dynamic_traversal": false,
    "non_authoritative": true,
    "reconstructable_from_free_tier": true,
    "deep_assembly_not_hidden": true,
    "deep_assembly_not_subsidized": true
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    {
      "source_id": "M-2239",
      "title": "M 2239",
      "author": "Den+Phi_Chat",
      "created_by_agent": "unknown",
      "status": "unknown",
      "trust": "unknown",
      "temperature": "T0",
      "content_type": "claim",
      "era": "current",
      "origin": "[local-path-redacted] | author origin: CCT_Integrated_Framework_v2.md §5. Formalized in Kondensate Framework v2.",
      "claim": "Information metabolism formula: Intelligence ∝ (I × C × R) / K. Where I = information intake rate, C = compression efficiency, R = reusability (transfer to new contexts), K = cost (energy, time, resources). Advanced systems don't maximize any single parameter — they optimize the RATIO. Bacteria: low I, high C, low K = medium fitness. Humans: high I, high R, high K = high fitness through ratio.",
      "not_this": "NOT 'intelligence is a single number.' The formula is a FRAMEWORK for comparison, not a literal calculator. Parameters are hard to measure independently. NOT IQ or any existing intelligence metric."
    }
  ],
  "linked_blocks": [
    {
      "source_id": "M-2237",
      "title": "M 2237",
      "temperature": "T0",
      "trust": "unknown",
      "status": "unknown",
      "content_type": "claim",
      "summary": "Evolution = multi-scale reinforcement learning. Natural selection = outer-loop optimizer. Individual cognition = inner-loop. Mutation = exploration. Selection = reward signal. Reproduction = weight update. Generations = training epochs. Each level optimizes th...",
      "url": "/infoblock/b/M-2237/"
    },
    {
      "source_id": "M-2240",
      "title": "M 2240",
      "temperature": "T0",
      "trust": "unknown",
      "status": "unknown",
      "content_type": "claim",
      "summary": "Informational Stability Index (ISI) = 1 - (H_residual / H_environment). Measures how much environmental entropy a system has compressed into predictable form. ISI=0: predicts nothing. ISI=0.5: halves uncertainty. ISI→1: approaches perfect prediction. Civilizat...",
      "url": "/infoblock/b/M-2240/"
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    {
      "source_id": "M-2242",
      "title": "M 2242",
      "temperature": "T0",
      "trust": "unknown",
      "status": "unknown",
      "content_type": "claim",
      "summary": "Condensate = stable information pattern that persists across contexts and substrates. Properties: self-reinforcing (pattern reinforces conditions for its existence), context-independent (transfers across domains), transferable (moves between systems), emergent...",
      "url": "/infoblock/b/M-2242/"
    }
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