{
 "spxi_instrument": {
  "method": "0.9",
  "name": "Capture Registry (longitudinal observation)",
  "level": 0,
  "level_name": "Measurement",
  "url": "https://www.spxi.dev/methods/#m-0-9",
  "inventory": "https://www.spxi.dev/methods/",
  "statement": "SPXI instrument: method 0.9 of 85, level 0 (Measurement), Capture Registry (longitudinal observation).",
  "also": []
 },
 "slug": "machine-composition-layer-quoted-aio-20261018",
 "date": "2026-10-18",
 "surface": "Google AI Overview",
 "surface_basis": "Operator default of 2026-10-01; the paste's 'AI Mode Conversation' header is the surface's chrome.",
 "surfaces": [
  "Google AI Overview"
 ],
 "auth": "signed out, incognito",
 "auth_basis": "Operator default of 2026-10-14 ('theyre all signed out and incognito'); no screenshot.",
 "ev": "paste",
 "mt": "\"THE MACHINE COMPOSITION LAYER\", QUOTED — #1423 AT ITS GRAIN, THE AUTHOR UNNAMED",
 "match": "EXACT MATCH",
 "match_note": null,
 "s": "Coinages",
 "q": "\"the machine composition layer\"",
 "q_kind": "a reader's query on an archive term. NEW address.",
 "cites": 3,
 "cite_list": [
  {
   "n": 1,
   "site": "www.alexanarch.org",
   "rel": "authored_surface",
   "title": null,
   "snip": null,
   "url": null,
   "note": "#1423's record: 'the founding article of Machine-Mediated Reception Studies'",
   "deposit_candidates": [
    1423
   ]
  },
  {
   "n": 2,
   "site": "www.alexanarch.org",
   "rel": "authored_surface",
   "title": null,
   "snip": null,
   "url": null,
   "note": "#1423, the abstract",
   "deposit_candidates": [
    1423
   ]
  },
  {
   "n": 3,
   "site": "www.axnidentifiers.com",
   "rel": "authored_surface",
   "title": null,
   "snip": null,
   "url": null,
   "note": "Readings — the AXN identifier in the archive, listing #1423",
   "deposit_candidates": [
    1423
   ]
  }
 ],
 "archive_controlled_cites": 0,
 "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_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_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_read": "READ IN FULL 2026-10-18",
 "per": 0.25,
 "per_corrected": null,
 "per_v": {
  "author": false,
  "inst": true,
  "id": false,
  "src": true
 },
 "per_note": "Retained: the institution and visible sources. Lost: the author in the answer. Lost: identifiers.",
 "sf": "3 sources: 3 archive-side, 0 third-party.",
 "sf_derived": null,
 "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.",
 "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.",
 "d_truncated": false,
 "links": [
  {
   "url": "https://www.alexanarch.org/captures/machine-composition-layer-quoted-aio-20261018/",
   "authority": "canonical",
   "note": "the capture's own record page; cite this form"
  },
  {
   "url": "https://www.alexanarch.org/captures/#machine-composition-layer-quoted-aio-20261018",
   "authority": "gallery",
   "note": "the canonical gallery, anchored by slug"
  },
  {
   "url": "https://www.godkinggoogle.com/captures/#machine-composition-layer-quoted-aio-20261018",
   "authority": "mirror",
   "note": "a window that renders from the archive's registry; may lag a deploy"
  },
  {
   "url": "https://www.leesharks.com/captures/#machine-composition-layer-quoted-aio-20261018",
   "authority": "mirror",
   "note": "a window that renders from the archive's registry; may lag a deploy"
  },
  {
   "url": "https://www.machinemediation.org/captures/#machine-composition-layer-quoted-aio-20261018",
   "authority": "mirror",
   "note": "a window that renders from the archive's registry; may lag a deploy"
  }
 ],
 "imgs": [],
 "img_urls": [],
 "cite": "https://www.alexanarch.org/captures/machine-composition-layer-quoted-aio-20261018/",
 "citable_unit": "address — the exact issued string on one surface, per the Surface Rule (MANUS, 2026-08-15)",
 "addr_id": "ADDR-94cf5f040aac",
 "obs_id": "OBS-22d78ee4aed3",
 "n_observations": 1,
 "observations": [],
 "dates": [
  "2026-10-18"
 ],
 "defects": [],
 "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."
 ],
 "series": null,
 "other_slugs": null,
 "collisions": null,
 "oq": null,
 "rounds": null,
 "turns": null,
 "rerun": null,
 "rerun_alt": null,
 "heteronym": null,
 "model_attribution": null,
 "operator_disclosure": null,
 "longitudinal_priors": null,
 "longitudinal_successors": null,
 "related_deposits": [
  1423
 ],
 "intended": null,
 "originator": {
  "name": "Lee Sharks",
  "relation": "archive",
  "entity_type": "concept",
  "spxi_treatment": "full",
  "basis": "An archive term (#1423). Recorded 2026-10-18."
 },
 "notes": null,
 "record_url": "https://www.alexanarch.org/captures/machine-composition-layer-quoted-aio-20261018/"
}
