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Phase 9 integrates Phases 1–8 into asra-v1.0-phase9: the final ARC Prize 2026 competition agent, unified architecture narrative, evaluation report framing, and Decision Biology extension section. The article presents integration theory and communication deliverables; a companion Kaggle notebook submits the v1.0 agent.
Phase 8 extends ASRA's transition-centric cognitive stack from grid worlds to perturbation–response biology: cell-state hashing, perturbation semantics, pathway hypotheses, and a biological transition graph on LINCS, OmniPath, scPerturb, and HCA context. The article presents theory and architecture; a companion Kaggle notebook deploys the asra-v0.9-phase8 bridge agent for ARC Prize 2026.
A practical technical essay on two recurring AI platform patterns—enterprise data infrastructure paired with maximum research flexibility (PyTorch-class) versus the same substrate with radical simplicity (Keras-class)—and how ASRA implements both lanes on the path toward scientific intelligence platforms.
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.
Adaptive Scientific Reasoning Architecture (ASRA) applied to decision biology: perturbation–response reasoning, world models, and intervention-centric scientific intelligence. Full text available as PDF (versions 1 and 2).