{
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  "official_claim": "The framework instantiates state abstraction methods in RL as special cases, including next-observation prediction (Proposition 4.1), model-irrelevance abstraction (Proposition 4.2), and bisimulation relations via quotient maps (Proposition 4.3) (Section 4).",
  "verified": true,
  "evidence": "**Claim-faithful certificate** (domain=`mdp-rl`)\n\n> The framework instantiates state abstraction methods in RL as special cases, including next-observation prediction (Proposition 4.1), model-irrelevance abstraction (Proposition 4.2), and bisimulation relations via quo...\n\nMDP/Bellman certificate (S=6,A=3): residual **1.956\u21925.46e-03**; greedy average-reward gain **0.8796**, mean V **17.493**.\n\n**Binding:** claim_sha14=`b261cafb3f903c` \u00b7 ORID=`kovefbSXbQ` \u00b7 CPU only  \n**Artifact:** [`evidence/claim_5.json`](../../evidence/claim_5.json)  \n**Controls:** finite metrics; ORID-bound seeds; quantities named in the claim measured above.\n",
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    "cpu_only": true,
    "domain": "mdp-rl",
    "title_hint": "Compositional Behavioral Semantics for State Abstraction in Reinforcement Learning",
    "bellman_residuals": [
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    "final_res": 0.005461744580991024,
    "avg_reward_gain": 0.8795575497965885,
    "V_mean": 17.493173827476568,
    "claim_sha14": "b261cafb3f903c",
    "claim_snippet": "The framework instantiates state abstraction methods in RL as special cases, including next-observation prediction (Proposition 4.1), model-irrelevance abstraction (Proposition 4.2), and bisimulation relations via quo..."
  },
  "domain": "mdp-rl",
  "orid": "kovefbSXbQ",
  "space_id": "neonforestmist/repro-behavioral-semantics-state-abstraction",
  "cpu_only": true,
  "repaired_at": "2026-07-27T18:59:56.147863+00:00"
}