{
  "handle": "StrategicReading",
  "mechanism": "Non-linear Information Retrieval Heuristic. {{agent}} treats documents as random-access databases rather than linear streams. It builds a structural map first ({{tree}}), identifies high-entropy sections (Abstract/Conclusion), and selectively loads only the relevant chunks. Utilizes {{compute_budget}}.",
  "gloss": "Navigate like a researcher, not linearly",
  "failure_modes": [
    "{{context}} Overflow: Loading entire documents saturates memory, displacing instructions.",
    "Linear {{cognitive_bias}}: Reading irrelevant introductions while missing key results buried in appendices.",
    "Fragmented {{context}}: Jumping too aggressively leads to missing critical connective logic."
  ],
  "invariants": [
    "Budget Awareness: Read volume must be < 10% of total document size unless DeepRead approved.",
    "Structure First: Must execute `doc_get_tree` or `outline` before reading body content."
  ],
  "preconditions": [
    "Large document identified",
    "Specific information goal defined"
  ],
  "postconditions": [
    "Relevant sections extracted",
    "Remainder of document remains unloaded"
  ],
  "parameters": [
    {
      "name": "scan_depth",
      "type": "Integer",
      "range": "[1, 10]",
      "description": "Pages/sections to scan before deciding relevance"
    },
    {
      "name": "strategy",
      "type": "Enum",
      "range": "{Survey, DeepDive, Needle}",
      "description": "Default: Survey"
    }
  ],
  "_meta": {
    "tier": 2,
    "ring": 2,
    "supersedes": [
      "sema:StrategicReading#mh:SHA-256:ef9282eb9e5d243105ed2f8016102f7653d1a9f3abc2215f08642695fa2a33bf",
      "sema:StrategicReading#mh:SHA-256:b6bf1e7c8713db8a84b5f3947aa28a3511d5bccfe29004c891e958c3f1345e98",
      "sema:StrategicReading#mh:SHA-256:1790c7c097b39837089025ff6056a9ca3ffb0ad53473b82faee983a071761d47"
    ],
    "path": [
      "Mind",
      "Reasoning"
    ]
  },
  "sema_ref": "StrategicReading#b5d5",
  "sema_id": "sema:StrategicReading#mh:SHA-256:b5d55501ddb51aa919170851ca51a337ae3b7bb29fd941190db809487e2b028c",
  "sema_stub": "b5d5",
  "dependencies": {
    "references": {
      "agent": "sema:Agent#mh:SHA-256:e127459069739fffc96a71d54ef6e8c97ca53471d5349c16aa72a092a33756cd",
      "cognitive_bias": "sema:CognitiveBias#mh:SHA-256:c8a4abe2e0ce048be16d25f890a50f8c7095e099b5ab2de23aa059942328f387",
      "compute_budget": "sema:ComputeBudget#mh:SHA-256:4091ac7c6677342920dc53808d02830e35c5849f2af1bb9ba7749c576d37478e",
      "context": "sema:Context#mh:SHA-256:c1b72256dc4732033ee42cc07ff5d9fb60a7f1a3e5634449c343692a33340756",
      "tree": "sema:Tree#mh:SHA-256:dd927c24f8165bd3ddc75b29cc96c1e43eb45bdaf084ba1e2bce2b0a71ab05ec"
    }
  },
  "sema_layer": "Mind",
  "sema_category": "Reasoning",
  "used_by": {}
}