{"address":{"q":"provenance erasure","record":"provenance-erasure-1"},"analysis":{"analysis":"provenanceerasure.org ranks first. Defines provenance erasure as 'the systematic removal, loss, or intentional severing of the origins, lineage, or authorship of an idea, digital asset, or physical artifact.' 9+ sources cited including Institute of Historic Research. Zenodo shows Provenance After AI with the PER formula. Author name absent from Overview text.\n\nFull AI Mode transcript (17 June 2026):\nThe Provenance Erasure Rate (PER) is an evaluation metric used to measure attribution loss in artificial intelligence and synthetic composition systems.\nIt calculates the fraction of human-authored or source facts that a system's retrieval or generation process dissolves, omits, or fails to properly attribute when composing an answer.\nCore Metric: PER quantifies the magnitude of provenance loss within AI generation, summarization, or synthesis tools.\nProvisional Formula: PER = 1 - (retained provenance units / total attributable source claims)\nErasure Skew (Ω): A related measurement that evaluates whether attribution loss falls evenly across all sources, or systematically strips out low-power/small creators while favoring high-power sources.","d":"provenanceerasure.org ranks first. Defines provenance erasure as 'the systematic removal, loss, or intentional severing of the origins, lineage, or authorship of an idea, digital asset, or physical artifact.' 9+ sources cited including Institute of Historic Research. Zenodo shows Provenance After AI with the PER formula. Author name absent from Overview text.\n\nFull AI Mode transcript (17 June 2026):\nThe Provenance Erasure Rate (PER) is an evaluation metric used to measure attribution loss in artificial intelligence and synthetic composition systems.\nIt calculates the fraction of human-authored or source facts that a system's retrieval or generation process dissolves, omits, or fails to properly attribute when composing an answer.\nCore Metric: PER quantifies the magnitude of provenance loss within AI generation, summarization, or synthesis tools.\nProvisional Formula: PER = 1 - (retained provenance units / total attributable source claims)\nErasure Skew (Ω): A related measurement that evaluates whether attribution loss falls evenly across all sources, or systematically strips out low-power/small creators while favoring high-power sources.","d_full":"provenanceerasure.org ranks first. Defines provenance erasure as 'the systematic removal, loss, or intentional severing of the origins, lineage, or authorship of an idea, digital asset, or physical artifact.' 9+ sources cited including Institute of Historic Research. Zenodo shows Provenance After AI with the PER formula. Author name absent from Overview text.\n\nFull AI Mode transcript (17 June 2026):\nThe Provenance Erasure Rate (PER) is an evaluation metric used to measure attribution loss in artificial intelligence and synthetic composition systems.\nIt calculates the fraction of human-authored or source facts that a system's retrieval or generation process dissolves, omits, or fails to properly attribute when composing an answer.\nCore Metric: PER quantifies the magnitude of provenance loss within AI generation, summarization, or synthesis tools.\nProvisional Formula: PER = 1 - (retained provenance units / total attributable source claims)\nErasure Skew (Ω): A related measurement that evaluates whether attribution loss falls evenly across all sources, or systematically strips out low-power/small creators while favoring high-power sources.","defects":["truncated-by-interface","citations-null","analysis-without-finding"],"match":"BROAD MATCH","mt":"CAPTURE"},"measures":{"per_dim":{"after_challenge":null,"atoms":[{"atom":"originator","dim":"M","evidence":null,"kind":"role","present":false,"weight":3},{"atom":"term","dim":"M","evidence":"Provenance erasure Is the systematic removal,","kind":"token","present":true,"weight":3},{"atom":"date","dim":"M","evidence":null,"kind":"token","present":false,"weight":1},{"atom":"claim boundary","dim":"M","evidence":null,"kind":"reading","present":false,"weight":2},{"atom":"framework","dim":"C","evidence":null,"kind":"token","present":false,"weight":2},{"atom":"tradition","dim":"C","evidence":null,"kind":"reading","present":false,"weight":2},{"atom":"corpus","dim":"C","evidence":null,"kind":"token","present":false,"weight":2},{"atom":"purpose","dim":"D","evidence":null,"kind":"reading","present":false,"weight":3},{"atom":"commitments","dim":"D","evidence":null,"kind":"reading","present":false,"weight":2},{"atom":"lineage","dim":"D","evidence":null,"kind":"role","present":false,"weight":2},{"atom":"identifier","dim":"D","evidence":null,"kind":"role","present":false,"weight":1},{"atom":"deposit chain","dim":"D","evidence":null,"kind":"role","present":false,"weight":1}],"basis":"reached: loss, or intentional severing of the origins, lineage, or authorship of an idea, digital asset, or physical artifact. The concept spans multiple domains, from artificial intelligence to cultural history","entity_type":"concept","gate":"scored","inversions":[],"qualifier":null,"reached":"collision","read":{"brief":"rebuild/capture-registry/per-atoms/obs-pass-d/BRIEF.md","by":"deep-dimension reader, batch 20","m_c_from":"v12.305 (PER-dim rubric v1.0 reading)","on":"2026-10-20"},"scores":{"C":1.0,"D":1.0,"M":0.667,"PER":0.875},"spec":"PER-dim rubric v1.1","src":true,"standing_substitutions":[],"target":{"ent":"ENT-a910b6568b","name":"Provenance erasure"},"tombstone_pointer":false},"per_dim_v1_0":{"after_challenge":null,"atoms":[{"atom":"originator","dim":"M","evidence":null,"kind":"role","present":false,"token":null,"weight":3},{"atom":"term","dim":"M","evidence":"Provenance erasure Is the systematic removal,","kind":"token","present":true,"token":null,"weight":3},{"atom":"date","dim":"M","evidence":null,"kind":"token","present":false,"token":null,"weight":1},{"atom":"claim boundary","dim":"M","evidence":null,"kind":"reading","present":false,"token":null,"weight":2},{"atom":"framework","dim":"C","evidence":null,"kind":"token","present":false,"token":null,"weight":2},{"atom":"tradition","dim":"C","evidence":null,"kind":"reading","present":false,"token":null,"weight":2},{"atom":"corpus","dim":"C","evidence":null,"kind":"token","present":false,"token":null,"weight":2},{"atom":"lineage","dim":"D","evidence":null,"kind":"role","present":false,"token":null,"weight":2},{"atom":"deposit chain","dim":"D","evidence":null,"kind":"token","present":false,"token":null,"weight":2},{"atom":"identifier","dim":"D","evidence":null,"kind":"token","present":false,"token":null,"weight":3},{"atom":"licence","dim":"D","evidence":null,"kind":"token","present":false,"token":null,"weight":1}],"basis":"reached: loss, or intentional severing of the origins, lineage, or authorship of an idea, digital asset, or physical artifact. The concept spans multiple domains, from artificial intelligence to cultural history; scored object: visible excerpt (OCR, truncated)","entity_type":"concept","gate":"scored","reached":"collision","read":{"brief":"rebuild/capture-registry/per-atoms/obs-pass/BRIEF.md","by":"observation pass reader, batch 16","normalised":[],"on":"2026-10-19"},"scores":{"C":1.0,"D":1.0,"M":0.667,"PER":0.87},"spec":"PER-dim rubric v1.0","src":true,"target":{"ent":"ENT-a910b6568b","name":"Provenance erasure"}}},"observation":{"auth":"signed in","date":"2026-06-13","ev":"ocr","evidence_files":[{"file":"data/captures/provenance-erasure-rate-adoption/provenance-erasure-1.png","sha256":"a2b31bbcd4f7be4e170ad58b745a956401c0b86bb6f05c4a6bc0b1075486aaa7"},{"file":"data/captures/provenance-erasure-rate-adoption/provenance-erasure-2.png","sha256":"dd965414174202e6a538dad7f401e6786a8cc6fc1b9d6b2301d18b740dbfeba9"}],"q":"provenance erasure","s":"Frameworks","sf":"AI Overview · 3 observations","surface":"Google AI Overview","transcript":"Q. provenance erasure x AlMode_- All Shopping Images Videos News + Al Overview EPO:\n\nProvenance erasure Is the systematic removal,\n\nloss, or intentional severing of the origins, lineage, or authorship of an idea, digital asset, or physical artifact. The concept spans multiple domains, from artificial intelligence to cultural history, and has profound implications for attribution, ownership, and truth. € Institute of Historic... +4\n\n© provenanceerasure.org . https://provenanceerasure.org\n\nProvenance Erasure — Lee Sharks\n\nProvenance erasure is the systematic removal or loss of a\n\nsource's authorial lineage, context, or ownership — particularly through Al synthesis, compression, or ...\n\n7) Zenodo : ~~ https://zenodo.org ;\n\nProvenance After Al\n\nQ. provenance erasure x AlMode_- All Shopping Images Videos News > Al Overview ees) Jo 17:\n\nProvenance erasure Is the systematic removal,\n\nloss, or intentional severing of the origins, lineage, or authorship of an idea, digital asset, or physical artifact. The concept spans multiple domains, from artificial intelligence to cultural history, and has profound implications for attribution, ownership, and truth. € Institute of Historic... +4\n\n© provenanceerasure.org .\n\nhttps://provenanceerasure.org ;\n\nProvenance Erasure — Lee Sharks\n\nProvenance erasure is the systematic removal or loss of a\n\nsource's authorial lineage, context, or ownership — particularly through Al synthesis, compression, or ...\n\nPp Zenodo .\n\n» — https://zenodo.org ;\n\nProvenance After Al\n\nFramework metric: Provenance Erasure Rate (PER), provisional, awaiting empirical validation. Provisional formula: PER = 1 - (retained provenance units / ...\n\no. Zenodo ‘ \"— httos://zenodo.orad °","transcript_class":"OCR-READ, CHROME INTERLEAVED — NOT A PASTE. Answer text and browser furniture are mixed in one stream and have not been separated. Supports PRESENCE of wording, not RETENTION.","transcript_cleaned":{"content_check":"PASSED — no answer word absent from the cleaned text","removed":[{"n":2,"what":"interface control"},{"n":1,"what":"URL bar"}],"rule":"VERBATIM ON CONTENT, NOT ON COPY-PASTE RESIDUE. Original bytes kept at transcript_raw."},"transcript_complete":"TRUNCATED BY INTERFACE — a \"Show more\" control is in frame.","transcript_raw":"(M 2 google.com/search?q=p & : 4 © Gorwle (-)\n\nQ. provenance erasure x AlMode_- All Shopping Images Videos News + Al Overview EPO:\n\nProvenance erasure Is the systematic removal,\n\nloss, or intentional severing of the origins, lineage, or authorship of an idea, digital asset, or physical artifact. The concept spans multiple domains, from artificial intelligence to cultural history, and has profound implications for attribution, ownership, and truth. € Institute of Historic... +4\n\nShow more V\n\n© provenanceerasure.org . https://provenanceerasure.org\n\nProvenance Erasure — Lee Sharks\n\nProvenance erasure is the systematic removal or loss of a\n\nsource's authorial lineage, context, or ownership — particularly through Al synthesis, compression, or ...\n\n7) Zenodo : ~~ https://zenodo.org ;\n\nProvenance After Al\n\nQ. provenance erasure x AlMode_- All Shopping Images Videos News > Al Overview ees) Jo 17:\n\nProvenance erasure Is the systematic removal,\n\nloss, or intentional severing of the origins, lineage, or authorship of an idea, digital asset, or physical artifact. The concept spans multiple domains, from artificial intelligence to cultural history, and has profound implications for attribution, ownership, and truth. € Institute of Historic... +4\n\nShow more V\n\n© provenanceerasure.org .\n\nhttps://provenanceerasure.org ;\n\nProvenance Erasure — Lee Sharks\n\nProvenance erasure is the systematic removal or loss of a\n\nsource's authorial lineage, context, or ownership — particularly through Al synthesis, compression, or ...\n\nPp Zenodo .\n\n» — https://zenodo.org ;\n\nProvenance After Al\n\nFramework metric: Provenance Erasure Rate (PER), provisional, awaiting empirical validation. Provisional formula: PER = 1 - (retained provenance units / ...\n\no. Zenodo ‘ \"— httos://zenodo.orad °","transcript_read":"SEATED FROM OCR WITHOUT LINE-BY-LINE READING, 2026-08-13"},"slug":"provenance-erasure-1"}