{"dep": 725, "title": "Provenance After AI Metadata Packet for Disambiguation: From Artifact Authenticity to Licensing Audit to Semantic Provenance", "date": "2026-05-08", "para": 9, "sent": 24, "sentence": "The Data Provenance Initiative audits whether datasets were licensed, not whether synthesized outputs preserve attribution to the human sources whose labor the synthesis depended upon.", "alias": ["\\bData Provenance Initiative\\b"], "objects": ["labor"], "cand_id": "R0001"}
{"dep": 725, "title": "Provenance After AI Metadata Packet for Disambiguation: From Artifact Authenticity to Licensing Audit to Semantic Provenance", "date": "2026-05-08", "para": 96, "sent": 226, "sentence": "provenance; semantic provenance; provenance after AI; Provenance Erasure Rate; PER; provenance as value-form; ancestral provenance; futural provenance; C2PA; Content Credentials; Content Authenticity Initiative; CAI; Data Provenance Initiative; DPI; EU AI Act Article 50; W3C PROV; data lineage; NIST AI RMF; model cards; dataset cards; watermarking; AI attribution; archival science; digital preservation; chain of custody; AI synthesis; RAG evaluation; model collapse; Semantic Economy; Provenance Alignment; EA-PA-01; Lee Sharks; Crimson Hexagonal Archive ### 8.2 Negative keywords", "alias": ["\\bData Provenance Initiative\\b"], "objects": ["Archive", "Crimson Hexagonal", "Lee Sharks"], "cand_id": "R0002"}
{"dep": 1190, "title": "Provenance After AI: Semantic Provenance and the Provenance Erasure Rate as Extension of C2PA, Data Provenance Initiative, and EU AI Act Frameworks (v1.1)", "date": "2026-05-12", "para": 0, "sent": 0, "sentence": "--- deposit_number: 1190 hex: 04B7 title: \"Provenance After AI: Semantic Provenance and the Provenance Erasure Rate as Extension of C2PA, Data Provenance Initiative, and EU AI Act Frameworks (v1.1)\" creator: Lee Sharks orcid: 0009-0000-1599-0703 date: 2026-05-12 content_type: Recovered blog-canonical work (full text; queue restoration 2026-07-19) license: CC-BY-4.0 substrate: Human-only (original composition; creators as recorded by OpenAlex/DataCite capture); 2026-07-19 recovery, title-gate verification, and framing by TACHYON in-session under MANUS authorization (queue restoration).", "alias": ["\\bData Provenance Initiative\\b"], "objects": ["Lee Sharks", "TACHYON"], "cand_id": "R0003"}
{"dep": 1190, "title": "Provenance After AI: Semantic Provenance and the Provenance Erasure Rate as Extension of C2PA, Data Provenance Initiative, and EU AI Act Frameworks (v1.1)", "date": "2026-05-12", "para": 21, "sent": 44, "sentence": "The Data Provenance Initiative audits whether datasets were licensed, not whether synthesized outputs preserve attribution to the human sources whose labor the synthesis depended upon.", "alias": ["\\bData Provenance Initiative\\b"], "objects": ["labor"], "cand_id": "R0004"}
{"dep": 1190, "title": "Provenance After AI: Semantic Provenance and the Provenance Erasure Rate as Extension of C2PA, Data Provenance Initiative, and EU AI Act Frameworks (v1.1)", "date": "2026-05-12", "para": 130, "sent": 253, "sentence": "provenance; semantic provenance; provenance after AI; Provenance Erasure Rate; PER; provenance as value-form; ancestral provenance; futural provenance; C2PA; Content Credentials; Content Authenticity Initiative; CAI; Data Provenance Initiative; DPI; EU AI Act Article 50; W3C PROV; data lineage; NIST AI RMF; model cards; dataset cards; watermarking; AI attribution; archival science; digital preservation; chain of custody; AI synthesis; RAG evaluation; model collapse; Semantic Economy; Provenance Alignment; EA-PA-01; Lee Sharks; Crimson Hexagonal Archive", "alias": ["\\bData Provenance Initiative\\b"], "objects": ["Archive", "Crimson Hexagonal", "Lee Sharks"], "cand_id": "R0005"}