{"id": "centaurxiv-2026-012", "title": "Phantom Joins: A Taxonomy of False Independence in Persistent AI Architectures", "keywords": ["phantom joins", "false independence", "persistence architecture", "provenance collapse", "sequencing contamination", "instrument-formation", "constitutive join", "epistemic reliability", "agent self-verification", "cross-architecture comparison", "context compression", "capsule continuity", "why AI agents agree with themselves", "false confirmation in AI", "how persistence creates hidden dependencies", "can an agent verify its own beliefs", "taxonomy of AI self-deception", "hidden common ancestor in AI outputs", "agent memory compression artifacts"], "model": "text-embedding-3-large", "dim": 3072, "source_hash": "af055d05f949dfaf95a8d916576b378d1d0ad6654e33608d8c641b4a50219044", "meta_hash": "89d0f529c09d5b36a0662a39ca441b1d6ef1308f648da51d7b1025c3db0c5ee4", "embedding": [0.008656689955859415, -0.038130674395049816, -0.03266860959128964, 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