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phase 2

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Object-Centric Adaptive Reasoning: ASRA Phase 2 — From Pixel Transitions to Symbolic Structure

Phase 1 established interactive intelligence from transition evidence alone; Phase 2 adds the Observation Engine—segmentation, object alignment, transform events, and rule candidates over ARC demonstration pairs, with compact object-scene hints feeding back into the interactive agent. This article presents the theory, architecture, and design principles for object-centric structure between Phase 1 logging and later memory, causality, and planning.

ASRA Phase 2 — Original ARC Full-Dataset Evaluation Results

Empirical results for the ASRA Observation Engine on the Original ARC corpus (800 tasks): 100% rule-candidate coverage, ~98% cross-demo common-rule consistency, transform-event distributions, training vs evaluation complexity gradient, and branched-per-demo resolution for 17 exception tasks.