{
  "schema_version": 1,
  "evidence_kind": "source_inspection",
  "inspected_on": "2026-09-19",
  "source": {
    "repository": "https://github.com/KaustubhLall/dino-arena",
    "base_commit": "c722e52a289b850c797467542163fddb95762e18",
    "working_tree_dirty": true,
    "files": [
      { "path": "app/game/agents.ts", "sha256": "7a24337c3799ddb40d2cb88bfc1aa24422be8198f20f5e3c93479106866f3910" },
      { "path": "app/game/core.ts", "sha256": "ae2c1dc8f50fe33624d7f2addf506048621e9ab75673b941b23a8330e750262e" },
      { "path": "scripts/benchmark-agents.ts", "sha256": "d618e6d4e5367f9b91eea72abf4a7ff55ae75eabc912b342dcefb23250d84c05" }
    ]
  },
  "limitations": [
    "Source properties only. No new benchmark, training or runtime verification.",
    "The inspected working copy includes uncommitted controller and collision changes. Historical July scores do not measure this snapshot.",
    "Information used describes policy behavior, not enforced observation permissions. Each autonomous controller receives the ordinary observation; Course Cartographer additionally reconstructs the course from its seed.",
    "The ordinary observation encodes up to three upcoming hazards, not strictly on-screen hazards. Distance is clamped during encoding.",
    "Line references identify inspected working-copy files, not the base commit. Hashes identify source bytes; this extract does not include those source files."
  ],
  "controllers": [
    { "name": "Manual Sparring", "information": "Human keyboard input", "mechanism": "Manual practice", "budget": "Excluded from autonomous benchmark", "source_lines": "agents.ts:118-127,461-469; benchmark-agents.ts:49" },
    { "name": "Clockwork Hopper", "information": "Tick and grounded state; seed sets phase; no obstacle data", "mechanism": "Open-loop cadence", "budget": "Jump attempt every 61 ticks", "source_lines": "agents.ts:130-143" },
    { "name": "Late Reflex", "information": "Next obstacle and grounded state", "mechanism": "Fixed-distance thresholds", "budget": "Checks each tick; no rollout", "source_lines": "agents.ts:150-164" },
    { "name": "TTC Pilot", "information": "Next obstacle, runner state and speed", "mechanism": "Time-to-collision heuristic", "budget": "Samples every 8 ticks; no rollout", "source_lines": "agents.ts:176-200" },
    { "name": "FSM Sentinel", "information": "Next obstacle, runner state and speed", "mechanism": "Approach / duck / recover state machine", "budget": "Normally 10-tick sampling, except while ducking; 12-tick jump recovery", "source_lines": "agents.ts:215-263" },
    { "name": "Arc Analyst", "information": "Next obstacle, runner state, speed and known physics", "mechanism": "Jump-window solver plus hand-set thresholds", "budget": "Checks each tick; no rollout", "source_lines": "agents.ts:93-115,279-289" },
    { "name": "Horizon Scout", "information": "Up to three encoded upcoming obstacles and runner state", "mechanism": "Rollout with shared ballistic continuation policy", "budget": "3 initial actions, up to 78 ticks each; replans each tick", "source_lines": "agents.ts:343-401; core.ts:431-455" },
    { "name": "Course Cartographer", "information": "Course reconstructed from seed; next six hazards used", "mechanism": "Same rollout and ballistic continuation policy", "budget": "3 initial actions, up to 120 ticks each; replans each tick", "source_lines": "agents.ts:343-385,413-448" }
  ]
}