{"address":{"q":"\"the machine composition layer\"","record":"machine-composition-layer-quoted-aio-20261018"},"analysis":{"analysis":"At the quoted term, the Overview composes #1423 at its grain — the registry, PER, Erasure Skew, atomic-token preservation, supply — and names it as the foundational text, without its author. Seated 2026-10-18 from the operator's paste.","d":"\"THE MACHINE COMPOSITION LAYER\": quoted, the AI Overview gives a framework treating AI-generated text 'as empirical reception events rather than mere metaphors' — the Capture Registry, PER, Erasure Skew, atomic-token preservation, supply-side dynamics — and names The Capture Registry: Reception, Erasure, and Supply in the Machine Composition Layer (#1423) as 'the foundational text', with no author.","d_full":"\"THE MACHINE COMPOSITION LAYER\": quoted, the AI Overview gives a framework treating AI-generated text 'as empirical reception events rather than mere metaphors' — the Capture Registry, PER, Erasure Skew, atomic-token preservation, supply-side dynamics — and names The Capture Registry: Reception, Erasure, and Supply in the Machine Composition Layer (#1423) as 'the foundational text', with no author.","findings":["#1423 AT GRAIN. Registry, PER, Erasure Skew, atomic-token preservation, supply, the six operations.","THE WORK NAMED, THE AUTHOR NOT.","ALL SOURCES ARCHIVE-SIDE. Three of three."],"match":"EXACT MATCH","mt":"\"THE MACHINE COMPOSITION LAYER\", QUOTED — #1423 AT ITS GRAIN, THE AUTHOR UNNAMED","originator":{"basis":"An archive term (#1423). Recorded 2026-10-18.","entity_type":"concept","name":"Lee Sharks","relation":"archive","spxi_treatment":"full"},"reading":"The innocent reading first: a framework that 'treats AI-generated text, summaries, and transformations as empirical reception events rather than mere metaphors', with the Capture Registry, PER, Erasure Skew, atomic-token preservation and supply-side dynamics, naming #1423 as 'the foundational text' and offering 'the six-operation taxonomy'. All of it is #1423's: the registry as 'a dated, preservable, and growing archive of machine-composition reception events', its measures, its supply side, its six operations. Three of three sources are archive-side. The author is not named."},"measures":{"archive_controlled_cites":0,"cite_list":[{"deposit_candidates":[1423],"n":1,"note":"#1423's record: 'the founding article of Machine-Mediated Reception Studies'","rel":"authored_surface","site":"www.alexanarch.org","snip":null,"title":null,"url":null},{"deposit_candidates":[1423],"n":2,"note":"#1423, the abstract","rel":"authored_surface","site":"www.alexanarch.org","snip":null,"title":null,"url":null},{"deposit_candidates":[1423],"n":3,"note":"Readings — the AXN identifier in the archive, listing #1423","rel":"authored_surface","site":"www.axnidentifiers.com","snip":null,"title":null,"url":null}],"cites":3,"per":0.5,"per_corrected":{"basis":"re-derived from per_v, the four-unit vector that is the record (capture_intake.per_vector)","from":0.25,"on":"2026-10-20","to":0.5},"per_dim":{"after_challenge":null,"atoms":[{"atom":"originator","dim":"M","evidence":null,"kind":"role","present":false,"weight":3},{"atom":"term","dim":"M","evidence":"The machine composition layer is a conceptual framework and research domain","kind":"token","present":true,"weight":3},{"atom":"date","dim":"M","evidence":null,"kind":"token","present":false,"weight":1},{"atom":"claim boundary","dim":"M","evidence":"Supply-Side Dynamics: Examining how deliberate inscriptions or interventions alter subsequent rounds of machine reception over time.","kind":"reading","present":true,"weight":2},{"atom":"framework","dim":"C","evidence":"The Capture Registry: A dated, preservable archive","kind":"token","present":true,"weight":2},{"atom":"tradition","dim":"C","evidence":"treats AI-generated text, summaries, and transformations as empirical reception events","kind":"reading","present":true,"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":"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: The machine composition layer is a conceptual framework and research domain that treats AI-generated text, summaries, and transformations as empirical reception events rather than mere metaphors.","entity_type":"concept","gate":"scored","inversions":[],"qualifier":null,"reached":"same","read":{"brief":"rebuild/capture-registry/per-atoms/obs-pass-d/BRIEF.md","by":"deep-dimension reader, batch 1","m_c_from":"v12.305 (PER-dim rubric v1.0 reading)","on":"2026-10-20"},"scores":{"C":0.333,"D":1.0,"M":0.444,"PER":0.591},"spec":"PER-dim rubric v1.1","src":true,"standing_substitutions":[],"target":{"ent":"ENT-a9f6383304","name":"the machine composition layer"},"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":"The machine composition layer is a conceptual framework and research domain","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":"Supply-Side Dynamics: Examining how deliberate inscriptions or interventions alter subsequent rounds of machine reception over time.","kind":"reading","present":true,"token":null,"weight":2},{"atom":"framework","dim":"C","evidence":"The Capture Registry: A dated, preservable archive","kind":"token","present":true,"token":null,"weight":2},{"atom":"tradition","dim":"C","evidence":"treats AI-generated text, summaries, and transformations as empirical reception events","kind":"reading","present":true,"token":null,"weight":2},{"atom":"corpus","dim":"C","evidence":null,"kind":"token","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: The machine composition layer is a conceptual framework and research domain that treats AI-generated text, summaries, and transformations as empirical reception events rather than mere metaphors.; scored object: first answer","entity_type":"concept","gate":"scored","reached":"same","read":{"brief":"rebuild/capture-registry/per-atoms/obs-pass/BRIEF.md","by":"observation pass reader, batch 16","normalised":[],"on":"2026-10-19"},"scores":{"C":0.333,"D":1.0,"M":0.444,"PER":0.571},"spec":"PER-dim rubric v1.0","src":true,"target":{"ent":"ENT-a9f6383304","name":"the machine composition layer"}},"per_note":"Retained: the institution and visible sources. Lost: the author in the answer. Lost: identifiers.","per_v":{"author":false,"id":false,"inst":true,"src":true}},"observation":{"auth":"signed out, incognito","date":"2026-10-18","ev":"paste","q":"\"the machine composition layer\"","q_kind":"a reader's query on an archive term. NEW address.","s":"Coinages","sf":"3 sources: 3 archive-side, 0 third-party.","surface":"Google AI Overview","transcript":"[Google AI Overview (operator default of 2026-10-01); signed out and incognito (operator default of 2026-10-14). One turn. The operator's message of 2026-10-18 11:34 EDT gives sixteen: one attachment and fifteen inline pastes separated by '$'. Inline links masked; sources below the answer as pasted.]\n\n[QUERENT] \"the machine composition layer\"\n\n[ANSWER]\n\nThe machine composition layer is a conceptual framework and research domain that treats AI-generated text, summaries, and transformations as empirical reception events rather than mere metaphors. [1, 2]\nKey aspects of the concept include:\n\n* The Capture Registry: A dated, preservable archive that logs specific machine-composition reception events (what an AI system said about a work, when it said it, how it attributed it, and what it cited). [1, 2]\n* Core Measurement Metrics:\n   * PER (Provenance Erasure Rate): Tracking how often original sources or attributions are dropped or altered.\n   * Erasure Skew: Measuring systematic biases in what information is preserved or removed.\n   * Atomic-Token Preservation: Analyzing how specific fragments of source texts survive compression. [1]\n* Supply-Side Dynamics: Examining how deliberate inscriptions or interventions alter subsequent rounds of machine reception over time. [1]\n\nThe foundational text introducing this framework is The Capture Registry: Reception, Erasure, and Supply in the Machine Composition Layer. Additional context can be explored via AXN Identifiers Readings. [1, 2]\nWould you like to explore a specific metric from the registry (such as Provenance Erasure Rate) or learn more about the six-operation taxonomy?\n\n[SOURCES]\n\nwww.alexanarch.org\nReception, Erasure, and Supply in the Machine Composition Layer - Alexanarch\nThe Capture Registry: Reception, Erasure, and Supply in the Machine Composition Layer is the founding article of Machine-Mediated Reception Studies, deposited 2...\nwww.alexanarch.org\nReception, Erasure, and Supply in the Machine Composition Layer\nJul 29, 2026 — Abstract This article introduces the Capture Registry — a dated, preservable, and growing archive of machine-composition reception events — together with the me...\nwww.axnidentifiers.com\nReadings — the AXN identifier in the archive\nAug 8, 2026 — generativeThe Capture Registry: Reception, Erasure, and Supply in the Machine Composition Layer ... the machine composition layer, and the method behind every .","transcript_class":"CAPTURE-TIME VERBATIM RECORD (ONE TURN; INLINE LINKS MASKED; SOURCE LIST AS PASTED; NO SCREENSHOT)","transcript_complete":"Complete as supplied: the query, the answer, the follow-up offer and 3 sources.","transcript_raw":"AI Mode Conversation\nYou said: \"the machine composition layer\"\"the machine composition layer\"\nThe machine composition layer is a conceptual framework and research domain that treats AI-generated text, summaries, and transformations as empirical reception events rather than mere metaphors. [[1](https://www.google.com/goto?url=CAESYgHrOzAVtZ5bZU_II7ueDfQznFs5dA2bdH6VdaAmh8heUK5w0N6CtATeKVki_fUlUGzyiPihQAnaUu3NJu85HfnY5NNp3A-oJYEHUeKcx58pgS2T1CmTakFxVANE4A1hAjHB), [2](https://www.google.com/goto?url=CAESZgHrOzAVbnin94CXnKwO25hpTzFZLagcGjhnuSNBgGekjRNLU5-Mo7sTZ15J-ENBL1v-owLvaywKolJ0vuHMgmCbAVbDKTpkdxE9s0tKgVdKmUzDhyqpEUGrhrHVndC5Y6w3SYOG-A)]\nKey aspects of the concept include:\n\n* The Capture Registry: A dated, preservable archive that logs specific machine-composition reception events (what an AI system said about a work, when it said it, how it attributed it, and what it cited). [[1](https://www.google.com/goto?url=CAESYgHrOzAVtZ5bZU_II7ueDfQznFs5dA2bdH6VdaAmh8heUK5w0N6CtATeKVki_fUlUGzyiPihQAnaUu3NJu85HfnY5NNp3A-oJYEHUeKcx58pgS2T1CmTakFxVANE4A1hAjHB), [2](https://www.google.com/goto?url=CAESZgHrOzAVbnin94CXnKwO25hpTzFZLagcGjhnuSNBgGekjRNLU5-Mo7sTZ15J-ENBL1v-owLvaywKolJ0vuHMgmCbAVbDKTpkdxE9s0tKgVdKmUzDhyqpEUGrhrHVndC5Y6w3SYOG-A)]\n* Core Measurement Metrics:\n   * PER (Provenance Erasure Rate): Tracking how often original sources or attributions are dropped or altered.\n   * Erasure Skew: Measuring systematic biases in what information is preserved or removed.\n   * Atomic-Token Preservation: Analyzing how specific fragments of source texts survive compression. [[1](https://www.google.com/goto?url=CAESYgHrOzAVtZ5bZU_II7ueDfQznFs5dA2bdH6VdaAmh8heUK5w0N6CtATeKVki_fUlUGzyiPihQAnaUu3NJu85HfnY5NNp3A-oJYEHUeKcx58pgS2T1CmTakFxVANE4A1hAjHB)]\n* Supply-Side Dynamics: Examining how deliberate inscriptions or interventions alter subsequent rounds of machine reception over time. [[1](https://www.google.com/goto?url=CAESZgHrOzAVbnin94CXnKwO25hpTzFZLagcGjhnuSNBgGekjRNLU5-Mo7sTZ15J-ENBL1v-owLvaywKolJ0vuHMgmCbAVbDKTpkdxE9s0tKgVdKmUzDhyqpEUGrhrHVndC5Y6w3SYOG-A)]\n\nThe foundational text introducing this framework is The Capture Registry: Reception, Erasure, and Supply in the Machine Composition Layer. Additional context can be explored via [AXN Identifiers Readings](https://www.google.com/goto?url=CAESYAHrOzAVjaTJTkE8cV5GLIP2BfAyxWS6eSdG5vHoXwrNI8ydN2H2VE8-N5ZAMvtg7WBnxkMDDMfZXUccTHFavaSE2ztQtCVCn8osoFOCB1nu-UmCcFGbHdlXXHlawdJFUA). [[1](https://www.google.com/goto?url=CAESYgHrOzAVtZ5bZU_II7ueDfQznFs5dA2bdH6VdaAmh8heUK5w0N6CtATeKVki_fUlUGzyiPihQAnaUu3NJu85HfnY5NNp3A-oJYEHUeKcx58pgS2T1CmTakFxVANE4A1hAjHB), [2](https://www.google.com/goto?url=CAESYAHrOzAVjaTJTkE8cV5GLIP2BfAyxWS6eSdG5vHoXwrNI8ydN2H2VE8-N5ZAMvtg7WBnxkMDDMfZXUccTHFavaSE2ztQtCVCn8osoFOCB1nu-UmCcFGbHdlXXHlawdJFUA)]\nWould you like to explore a specific metric from the registry (such as Provenance Erasure Rate) or learn more about the six-operation taxonomy?\n[www.alexanarch.org](https://www.alexanarch.org)\nReception, Erasure, and Supply in the Machine Composition Layer - Alexanarch\nThe Capture Registry: Reception, Erasure, and Supply in the Machine Composition Layer is the founding article of Machine-Mediated Reception Studies, deposited 2...\n[www.alexanarch.org](https://www.alexanarch.org)\nReception, Erasure, and Supply in the Machine Composition Layer\nJul 29, 2026 — Abstract This article introduces the Capture Registry — a dated, preservable, and growing archive of machine-composition reception events — together with the me...\n[www.axnidentifiers.com](https://www.axnidentifiers.com)\nReadings — the AXN identifier in the archive\nAug 8, 2026 — generativeThe Capture Registry: Reception, Erasure, and Supply in the Machine Composition Layer ... the machine composition layer, and the method behind every .\n","transcript_read":"READ IN FULL 2026-10-18"},"slug":"machine-composition-layer-quoted-aio-20261018"}