AXN:0772.CAPTURE — provenance: journal of forensic semiotics

AXN:0772.CAPTURE is the position of the Capture Registry address for the query “provenance: journal of forensic semiotics”. Each observation at the address (one surface, one date) is one AXN, its glyphs derived from the SHA-256 of the observation sealed with its analysis and measures.

`AXN:0772.CAPTURE.🕙🗡️💫🌒🕊️🕒`

Observation: Google AI Overview, 2026-06-13 · the capture
Description: 'The Provenance: Journal of Forensic Semiotics is an academic publication exploring the intersection of sign theory, digital authorship, and criminology. It centers on the analysis of how traces, texts, and synthetic media carry (or fabricate) verifiable lineage, meaning, and authenticity in legal and investigative contexts' (cites Academia.edu +4). Expanded: 'Recent literature in or referencing the journal focuses on three core areas: AI & Document Authenticity — Explores semiotic disruptions caused by AI-generated deepfakes. It examines how synthetic documents mimic authentic representamina (signs), requiring indexical stress tests and cryptographic provenance anchoring' (ResearchGate); 'Process Provenance — Introduces the concept of process provenance as the structural mechanism separating authentic authorship from generative slop, establishing verifiable lineage in human-machine …
Analysis: 'The Provenance: Journal of Forensic Semiotics is an academic publication exploring the intersection of sign theory, digital authorship, and criminology. It centers on the analysis of how traces, texts, and synthetic media carry (or fabricate) verifiable lineage, meaning, and authenticity in legal and investigative contexts' (cites Academia.edu +4). Expanded: 'Recent literature in or referencing the journal focuses on three core areas: AI & Document Authenticity — Explores semiotic disruptions caused by AI-generated deepfakes. It examines how synthetic documents mimic authentic representamina (signs), requiring indexical stress tests and cryptographic provenance anchoring' (ResearchGate); 'Process Provenance — Introduces the concept of process provenance as the structural mechanism separating authentic authorship from generative slop, establishing verifiable lineage in human-machine collaborative writing.' Below the AI Overview a scholarly articles block surfaces real journal titles — Dziuban 'Mapping the Forensic Turn' (cited by 12) and Crossland 'Of clues and signs: the dead body and its evidential...' (cited by 215) — listing real adjacent literature as if it were inside this journal. SciLynk 'Theory, Toolkit, and Archive of Techniques (EA-RCE-01)' organic below. The bracket journal is rendered as a real venue with real cited papers attached; the composition layer borrows …
Match: BROAD MATCH — CAPTURE
Sealed observation: /data/captures/sealed/provenance-forensic-semiotics.json — SHA-256 6b5a0a017e6474a7638c7811408a9a6e6f61f946b09019ca67372206651a826b