{
  "record_id": "18395405",
  "document_id": "18395405",
  "title": "Post-Semantic Behavioral Signals as Risk Vectors: A Boundary Analysis under ABL-1",
  "pages": 4,
  "authors": [
    "Raynor Eissens"
  ],
  "doi_confirmed_in_pdf": null,
  "zenodo_record": "https://zenodo.org/records/18395405",
  "html": "papers/18395405.html",
  "text": "text/18395405.txt",
  "data": "data/18395405.json",
  "abstract_extracted": "Post-semantic behavioral signals—micro-timing, interaction rhythms, affective drift, circadian entrainment—form a uniquely identifiable layer that is neither biometric nor symbolic. In ambient systems, these signals act as behavioral risk vectors when not bounded by ABL-1 (Aura Boundary Law). This addendum defines these vectors, examines their identifiability risk, and demonstrates why ABL-1 is the minimal architecture necessary to prevent aura collapse into continuous surveillance. ⸻",
  "visual_pages": [],
  "low_text_pages": [],
  "characters_extracted": 3285,
  "words_extracted": 429,
  "source_pdf_filename": "18395405_Post-Semantic Behavioral Signals as Risk Vectors-.pdf",
  "source_pdf_sha256": "1f542bb704bd25de2cb71122d69baa3516eaf446c3e2e251493e17483b057889",
  "full_text": "=== PDF PAGE 1 ===\nPost-Semantic Behavioral Signals as Risk Vectors:\n\nA Boundary Analysis under ABL-1\n\nAddendum to the Ambient Canon\n\nRaynor Eissens\n\nAmbientphone Architecture • 2026\n\n⸻\n\nABSTRACT\n\nPost-semantic behavioral signals—micro-timing, interaction rhythms, affective drift, circadian\n\nentrainment—form a uniquely identifiable layer that is neither biometric nor symbolic.\n\nIn ambient systems, these signals act as behavioral risk vectors when not bounded by ABL-1\n\n(Aura Boundary Law).\n\nThis addendum defines these vectors, examines their identifiability risk, and demonstrates why\n\nABL-1 is the minimal architecture necessary to prevent aura collapse into continuous\n\nsurveillance.\n\n⸻\n\n1. Introduction\n\nAmbient systems process continuous human signals, many of which emerge below linguistic or\n\ncognitive thresholds.\n\nThese include:\n\n•\nhesitation curves\n\n•\nattention decay rhythms\n\n•\nemotional modulation patterns\n\n•\nperceptual coupling with light, noise, social density\n\n•\nmicro-temporal motor signatures\n\nIndividually, they appear innocuous.\n\nCollectively, they form an identity field more precise than biometrics.\n\nABL-1 exists to prevent this field from being extracted or recognized.\n\n⸻\n\n=== PDF PAGE 2 ===\n2. Post-Semantic Behavioral Signals: The Four Risk Classes\n\n2.1 Micro-Temporal Identity Drift\n\nSmall variations in timing become a stable behavioral fingerprint when aggregated.\n\n2.2 Rhythmic Vulnerability Leakage\n\nAttention/mood rhythms expose emotional states that can be exploited for personalization or\n\nmanipulation.\n\n2.3 Cross-Context Behavioral Binding\n\nSignals recorded in one environment can match patterns in another, collapsing anonymity.\n\n2.4 Latent Intent Extraction\n\nUnbounded systems infer intent from micro-patterns the user does not consciously express.\n\nEach vector violates human autonomy at a structural level.\n\n⸻\n\n3. ABL-1 as Risk Containment Architecture\n\nABL-1 neutralizes all four risk vectors:\n\n3.1 Non-Identifiability Principle\n\nSignals cannot form persistent identity.\n\n3.2 Locality Constraint\n\nSignals never leave the immediate environment.\n\n3.3 Ephemerality Requirement\n\nSignals decay; accumulation is forbidden.\n\n3.4 Non-Predictive Rule\n\n=== PDF PAGE 3 ===\nSignals cannot be used to infer intent or vulnerability.\n\n3.5 Anti-Surveillance Clause\n\nNo cross-context behavioral matching is permitted.\n\nABL-1 transforms aura-like signals from risk vectors into expressive-only presence fields.\n\n⸻\n\n4. Implications for Personal AI and Ambient Systems\n\nWithout ABL-1:\n\n•\nambient devices become total behavioral surveillance\n\n•\nidentity becomes involuntary and permanent\n\n•\npersonalization becomes psychological extraction\n\n•\nsafety collapses into exploitation\n\nWith ABL-1:\n\n•\naura becomes expressive, not recognitional\n\n•\nambient computing becomes humane\n\n•\npersonal AI becomes non-extractive\n\n•\nidentity becomes voluntary and moment-bound\n\nABL-1 is therefore foundational for post-symbolic human rights.\n\n⸻\n\nKEYWORDS\n\nABL-1\n\nAura\n\nBehavioral Signals\n\nIdentity Risk\n\nPost-Semantic Field\n\nAmbient Systems\n\nSurveillance Prevention\n\nRaynor Stack\n\nThermodynamic Architecture\n\n⸻\n\n=== PDF PAGE 4 ===\nRECOMMENDED CITATION\n\nEissens, Raynor. Post-Semantic Behavioral Signals as Risk Vectors: A Boundary Analysis under\n\nABL-1. Ambientphone Canon, 2026."
}