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Phase 1 establishes the ASRA Experience Engine: transition logging, hash-stable state IDs, effect-based action semantics inference, uncertainty-directed exploration, dead-end taboo, Swarm orchestration, and competition-grade execution fidelity. The article presents full theory and architecture; a companion Kaggle notebook deploys asra-v0.1-phase1 for ARC Prize 2026.
Unified architecture reference for the Adaptive Scientific Reasoning Agent (ASRA): nine cognitive layers from experience logging through integration and submission, with read/write contracts, end-to-end data flow, storage schemas, deployment shapes, and links to Phase 1–9 SciLayer preprints.
Evaluation protocol for measuring genuine learning across repeated ARC-AGI-3 episodes: full-game and single-level setups, primary metrics (action count, dead-end rate, visit redundancy), cross-run persistence requirements, and mapping to ASRA Phase 1–3 transition logging, semantics inference, and episodic memory.