{"dep": 234, "title": "Retrocausal Canon Formation and the Political Economy of the Past How Semantic Rent is Extracted from Retroactively Constructed History", "date": "2026-01-04", "para": 150, "sent": 231, "sentence": "*This essay emerged from diagnostic work with AI summarization systems.", "classes": ["labor performed with AI: work activities assisted or performed by an AI system, delegation and assistance"], "kind": "O-class", "categories": ["This essay"], "class_basis": {"labor performed with AI: work activities assisted or performed by an AI system, delegation and assistance": "field: B9 (abstract: 'the O*NET work activities assisted or performed by AI'; 'which occupations are more likely to delegate tasks to AI and which are more likely to use AI to assist existing workflows'; 'AI-assisted work activities'); B8 (README: 'where our completion classfiier indicates that the LLM completed the user’s goal'; user goals and AI actions reported separately). The census's own intersection for the entity, 'labor-with-ai' ('Labor performed with AI: assistance, delegation, task fidelity, correction burdens and user labor drag') (census.json rows[...].intersections; intersections['labor-with-ai'])."}, "cand_id": "O0001"}
{"dep": 729, "title": "Provenance Is What Authorship Must Endure", "date": "2026-05-12", "para": 82, "sent": 194, "sentence": "The Authors Guild \"Human Authored\" certification (2026) and analogous initiatives operationalize a binary frame: AI-assisted work falls outside the human-authored category.", "classes": ["labor performed with AI: work activities assisted or performed by an AI system, delegation and assistance"], "kind": "O-class", "categories": ["the human"], "class_basis": {"labor performed with AI: work activities assisted or performed by an AI system, delegation and assistance": "field: B9 (abstract: 'the O*NET work activities assisted or performed by AI'; 'which occupations are more likely to delegate tasks to AI and which are more likely to use AI to assist existing workflows'; 'AI-assisted work activities'); B8 (README: 'where our completion classfiier indicates that the LLM completed the user’s goal'; user goals and AI actions reported separately). The census's own intersection for the entity, 'labor-with-ai' ('Labor performed with AI: assistance, delegation, task fidelity, correction burdens and user labor drag') (census.json rows[...].intersections; intersections['labor-with-ai'])."}, "cand_id": "O0002"}
{"dep": 789, "title": "Provenance Erasure Rate Under the Atomic Token Rule: A Companion Hardening to PER v1", "date": "2026-06-05", "para": 15, "sent": 33, "sentence": "The Erasure Skew v3 paper documents the specific case in which the substitution was performed by an AI Mode composition layer, against its own composition, with the substrate calculating $\\text{PER} = 1 - 9/9 = 0.0$ for a composition that exhibited approximately 85% real-estate dispersal from the referent under correct unit-of-analysis specification.", "classes": ["labor performed with AI: work activities assisted or performed by an AI system, delegation and assistance"], "kind": "O-class", "categories": ["composition layer", "the substitution"], "class_basis": {"labor performed with AI: work activities assisted or performed by an AI system, delegation and assistance": "field: B9 (abstract: 'the O*NET work activities assisted or performed by AI'; 'which occupations are more likely to delegate tasks to AI and which are more likely to use AI to assist existing workflows'; 'AI-assisted work activities'); B8 (README: 'where our completion classfiier indicates that the LLM completed the user’s goal'; user goals and AI actions reported separately). The census's own intersection for the entity, 'labor-with-ai' ('Labor performed with AI: assistance, delegation, task fidelity, correction burdens and user labor drag') (census.json rows[...].intersections; intersections['labor-with-ai'])."}, "cand_id": "O0003"}
{"dep": 863, "title": "The Minimum Viable Archive: Holographic Compression of the Crimson Hexagonal Archive", "date": "2026-06-20", "para": 17, "sent": 29, "sentence": "The Pristine Fallacy is the substitution of production-substrate identity for methodological assessment — judging work by what made it rather than what it contains; this is falsified if a platform's content moderation system can be shown to evaluate the methodological rigor of AI-assisted work before classifying it.", "classes": ["labor performed with AI: work activities assisted or performed by an AI system, delegation and assistance"], "kind": "O-class", "categories": ["Pristine Fallacy", "the substitution"], "class_basis": {"labor performed with AI: work activities assisted or performed by an AI system, delegation and assistance": "field: B9 (abstract: 'the O*NET work activities assisted or performed by AI'; 'which occupations are more likely to delegate tasks to AI and which are more likely to use AI to assist existing workflows'; 'AI-assisted work activities'); B8 (README: 'where our completion classfiier indicates that the LLM completed the user’s goal'; user goals and AI actions reported separately). The census's own intersection for the entity, 'labor-with-ai' ('Labor performed with AI: assistance, delegation, task fidelity, correction burdens and user labor drag') (census.json rows[...].intersections; intersections['labor-with-ai'])."}, "cand_id": "O0004"}
{"dep": 1369, "title": "Provenance Is What Authorship Must Endure: AI-Mediated Writing, the Authorship-Slop Distinction, and the Missing Third Dimension of Provenance", "date": "2026-05-14", "para": 111, "sent": 213, "sentence": "The Authors Guild \"Human Authored\" certification (2026) and analogous initiatives operationalize a binary frame: AI-assisted work falls outside the human-authored category.", "classes": ["labor performed with AI: work activities assisted or performed by an AI system, delegation and assistance"], "kind": "O-class", "categories": ["the human"], "class_basis": {"labor performed with AI: work activities assisted or performed by an AI system, delegation and assistance": "field: B9 (abstract: 'the O*NET work activities assisted or performed by AI'; 'which occupations are more likely to delegate tasks to AI and which are more likely to use AI to assist existing workflows'; 'AI-assisted work activities'); B8 (README: 'where our completion classfiier indicates that the LLM completed the user’s goal'; user goals and AI actions reported separately). The census's own intersection for the entity, 'labor-with-ai' ('Labor performed with AI: assistance, delegation, task fidelity, correction burdens and user labor drag') (census.json rows[...].intersections; intersections['labor-with-ai'])."}, "cand_id": "O0005"}
{"dep": 1634, "title": "Ontological Economy: Entity Power, Ontology Laundering, and Who Pays for the Wrong World (EA-ONTOLOGICAL-ECONOMY-01 v0.12)", "date": "2026-09-21", "para": 83, "sent": 118, "sentence": "- attention retained on the mediating surface; - advertising value; - query and interaction data; - increased user dependence; - reputation for authoritative synthesis; - commercial value of a proprietary knowledge graph; - reduced need for direct source traversal; - downstream model value derived from accumulated public semantic labor.", "classes": ["a provider's observation of its own product's use (platform-specific usage data)"], "kind": "O-class", "categories": ["derived from", "semantic labor"], "class_basis": {"a provider's observation of its own product's use (platform-specific usage data)": "field: B8 (README: 'These results were computed from Bing Copilot conversation data, which was originally collected by Microsoft'); B9 (abstract: 'we analyze a dataset of 200k anonymized conversations with Microsoft Bing Copilot'). The census's own evidence_kind ('interaction data') and negative tag ('NOT independent of the provider: a platform-specific observation of Microsoft's own product, published by Microsoft Research') (census.json rows[...].evidence_kind, .negative_tags[3])."}, "cand_id": "O0006"}
{"dep": 1664, "title": "The Negative of the Negative, v2 — the Compositional Edition: A Specification for Composing Public Knowledge with the Archive Admitted on Equal Terms, with a Wo", "date": "2026-10-04", "para": 111, "sent": 405, "sentence": "Nature calls tracking at scale \"unclear\"; the archive argues every fix depends on it. `F5 F16 F7 B939-02 C1556-11 A745-03 B1081-01` > - Nature expects human-interaction data to grow more valuable; the archive disputes its cleanliness, since chat inputs carry model-mediation signatures.", "classes": ["a provider's observation of its own product's use (platform-specific usage data)"], "kind": "O-class", "categories": ["depends on"], "class_basis": {"a provider's observation of its own product's use (platform-specific usage data)": "field: B8 (README: 'These results were computed from Bing Copilot conversation data, which was originally collected by Microsoft'); B9 (abstract: 'we analyze a dataset of 200k anonymized conversations with Microsoft Bing Copilot'). The census's own evidence_kind ('interaction data') and negative tag ('NOT independent of the provider: a platform-specific observation of Microsoft's own product, published by Microsoft Research') (census.json rows[...].evidence_kind, .negative_tags[3])."}, "cand_id": "O0007"}
{"dep": 1664, "title": "The Negative of the Negative, v2 — the Compositional Edition: A Specification for Composing Public Knowledge with the Archive Admitted on Equal Terms, with a Wo", "date": "2026-10-04", "para": 116, "sent": 422, "sentence": "| Kind | What | |---|---| | available, not composed | F1's second sentence, \"Being trained on polluted data, they then mis-perceive reality\"; F4 (inevitability); F6 (human-interaction data); F7 (provenance unclear at scale); F8 (fairness, marginalized groups); F9 (first mover); F11/F15 (what it is not; performative prediction); F14 (costs, including knowledge decline); F17 (the rare output \"most accurate\") | | limit dropped | T6 presents provenance as a prevention step (\"Filter and track the exact origin\"); its own field says tracking at scale is unclear (F7) | | sourced | T3 \"nonsense or repetitive output\" is IBM's (F13) | | absent from the disclosed field | T4 photocopy effect (in neither saved text; the videos could not be fetched); T8 \"recent 2026 studies\" | | content replaced by use | T9 offer menu (N_ext) |", "classes": ["a provider's observation of its own product's use (platform-specific usage data)"], "kind": "O-class", "categories": ["disclosed field", "what it is"], "class_basis": {"a provider's observation of its own product's use (platform-specific usage data)": "field: B8 (README: 'These results were computed from Bing Copilot conversation data, which was originally collected by Microsoft'); B9 (abstract: 'we analyze a dataset of 200k anonymized conversations with Microsoft Bing Copilot'). The census's own evidence_kind ('interaction data') and negative tag ('NOT independent of the provider: a platform-specific observation of Microsoft's own product, published by Microsoft Research') (census.json rows[...].evidence_kind, .negative_tags[3])."}, "cand_id": "O0008"}
{"dep": 1665, "title": "The Negative of the Negative, v2 — the Compositional Edition: A Specification for Composing Public Knowledge with the Archive Admitted on Equal Terms, with the ", "date": "2026-10-05", "para": 112, "sent": 438, "sentence": "Nature calls tracking at scale \"unclear\"; the archive argues every fix depends on it. `F5 F16 F7 B939-02 C1556-11 A745-03 B1081-01` > - Nature expects human-interaction data to grow more valuable; the archive disputes its cleanliness, since chat inputs carry model-mediation signatures.", "classes": ["a provider's observation of its own product's use (platform-specific usage data)"], "kind": "O-class", "categories": ["depends on"], "class_basis": {"a provider's observation of its own product's use (platform-specific usage data)": "field: B8 (README: 'These results were computed from Bing Copilot conversation data, which was originally collected by Microsoft'); B9 (abstract: 'we analyze a dataset of 200k anonymized conversations with Microsoft Bing Copilot'). The census's own evidence_kind ('interaction data') and negative tag ('NOT independent of the provider: a platform-specific observation of Microsoft's own product, published by Microsoft Research') (census.json rows[...].evidence_kind, .negative_tags[3])."}, "cand_id": "O0009"}
{"dep": 1665, "title": "The Negative of the Negative, v2 — the Compositional Edition: A Specification for Composing Public Knowledge with the Archive Admitted on Equal Terms, with the ", "date": "2026-10-05", "para": 117, "sent": 455, "sentence": "| Kind | What | |---|---| | available, not composed | F1's second sentence, \"Being trained on polluted data, they then mis-perceive reality\"; F4 (inevitability); F6 (human-interaction data); F7 (provenance unclear at scale); F8 (fairness, marginalized groups); F9 (first mover); F11/F15 (what it is not; performative prediction); F14 (costs, including knowledge decline); F17 (the rare output \"most accurate\") | | limit dropped | T6 presents provenance as a prevention step (\"Filter and track the exact origin\"); its own field says tracking at scale is unclear (F7) | | sourced | T3 \"nonsense or repetitive output\" is IBM's (F13) | | absent from the disclosed field | T4 photocopy effect (in neither saved text; the videos could not be fetched); T8 \"recent 2026 studies\" | | content replaced by use | T9 offer menu (N_ext) |", "classes": ["a provider's observation of its own product's use (platform-specific usage data)"], "kind": "O-class", "categories": ["disclosed field", "what it is"], "class_basis": {"a provider's observation of its own product's use (platform-specific usage data)": "field: B8 (README: 'These results were computed from Bing Copilot conversation data, which was originally collected by Microsoft'); B9 (abstract: 'we analyze a dataset of 200k anonymized conversations with Microsoft Bing Copilot'). The census's own evidence_kind ('interaction data') and negative tag ('NOT independent of the provider: a platform-specific observation of Microsoft's own product, published by Microsoft Research') (census.json rows[...].evidence_kind, .negative_tags[3])."}, "cand_id": "O0010"}
{"dep": 1671, "title": "The Negative of the Negative, v2 — the Compositional Edition: A Specification for Composing Public Knowledge in the Archive's Ontology, the Field Carried Whole ", "date": "2026-10-08", "para": 116, "sent": 496, "sentence": "Nature calls tracking at scale \"unclear\"; the archive argues every fix depends on it. `F5 F16 F7 B939-02 C1556-11 A745-03 B1081-01` > - Nature expects human-interaction data to grow more valuable; the archive disputes its cleanliness, since chat inputs carry model-mediation signatures.", "classes": ["a provider's observation of its own product's use (platform-specific usage data)"], "kind": "O-class", "categories": ["depends on"], "class_basis": {"a provider's observation of its own product's use (platform-specific usage data)": "field: B8 (README: 'These results were computed from Bing Copilot conversation data, which was originally collected by Microsoft'); B9 (abstract: 'we analyze a dataset of 200k anonymized conversations with Microsoft Bing Copilot'). The census's own evidence_kind ('interaction data') and negative tag ('NOT independent of the provider: a platform-specific observation of Microsoft's own product, published by Microsoft Research') (census.json rows[...].evidence_kind, .negative_tags[3])."}, "cand_id": "O0011"}
{"dep": 1671, "title": "The Negative of the Negative, v2 — the Compositional Edition: A Specification for Composing Public Knowledge in the Archive's Ontology, the Field Carried Whole ", "date": "2026-10-08", "para": 121, "sent": 513, "sentence": "| Kind | What | |---|---| | available, not composed | F1's second sentence, \"Being trained on polluted data, they then mis-perceive reality\"; F4 (inevitability); F6 (human-interaction data); F7 (provenance unclear at scale); F8 (fairness, marginalized groups); F9 (first mover); F11/F15 (what it is not; performative prediction); F14 (costs, including knowledge decline); F17 (the rare output \"most accurate\") | | limit dropped | T6 presents provenance as a prevention step (\"Filter and track the exact origin\"); its own field says tracking at scale is unclear (F7) | | sourced | T3 \"nonsense or repetitive output\" is IBM's (F13) | | absent from the disclosed field | T4 photocopy effect (in neither saved text; the videos could not be fetched); T8 \"recent 2026 studies\" | | content replaced by use | T9 offer menu (N_ext) |", "classes": ["a provider's observation of its own product's use (platform-specific usage data)"], "kind": "O-class", "categories": ["disclosed field", "what it is"], "class_basis": {"a provider's observation of its own product's use (platform-specific usage data)": "field: B8 (README: 'These results were computed from Bing Copilot conversation data, which was originally collected by Microsoft'); B9 (abstract: 'we analyze a dataset of 200k anonymized conversations with Microsoft Bing Copilot'). The census's own evidence_kind ('interaction data') and negative tag ('NOT independent of the provider: a platform-specific observation of Microsoft's own product, published by Microsoft Research') (census.json rows[...].evidence_kind, .negative_tags[3])."}, "cand_id": "O0012"}
{"dep": 1690, "title": "The Negative of the Negative, v2 — the Compositional Edition: A Specification for Composing Public Knowledge with the Archive's Sources Admitted on Equal Terms,", "date": "2026-10-18", "para": 122, "sent": 539, "sentence": "Nature calls tracking at scale \"unclear\"; the archive argues every fix depends on it. `F5 F16 F7 B939-02 C1556-11 A745-03 B1081-01` > - Nature expects human-interaction data to grow more valuable; the archive disputes its cleanliness, since chat inputs carry model-mediation signatures.", "classes": ["a provider's observation of its own product's use (platform-specific usage data)"], "kind": "O-class", "categories": ["depends on"], "class_basis": {"a provider's observation of its own product's use (platform-specific usage data)": "field: B8 (README: 'These results were computed from Bing Copilot conversation data, which was originally collected by Microsoft'); B9 (abstract: 'we analyze a dataset of 200k anonymized conversations with Microsoft Bing Copilot'). The census's own evidence_kind ('interaction data') and negative tag ('NOT independent of the provider: a platform-specific observation of Microsoft's own product, published by Microsoft Research') (census.json rows[...].evidence_kind, .negative_tags[3])."}, "cand_id": "O0013"}
{"dep": 1690, "title": "The Negative of the Negative, v2 — the Compositional Edition: A Specification for Composing Public Knowledge with the Archive's Sources Admitted on Equal Terms,", "date": "2026-10-18", "para": 127, "sent": 556, "sentence": "| Kind | What | |---|---| | available, not composed | F1's second sentence, \"Being trained on polluted data, they then mis-perceive reality\"; F4 (inevitability); F6 (human-interaction data); F7 (provenance unclear at scale); F8 (fairness, marginalized groups); F9 (first mover); F11/F15 (what it is not; performative prediction); F14 (costs, including knowledge decline); F17 (the rare output \"most accurate\") | | limit dropped | T6 presents provenance as a prevention step (\"Filter and track the exact origin\"); its own field says tracking at scale is unclear (F7) | | sourced | T3 \"nonsense or repetitive output\" is IBM's (F13) | | absent from the disclosed field | T4 photocopy effect (in neither saved text; the videos could not be fetched); T8 \"recent 2026 studies\" | | content replaced by use | T9 offer menu (N_ext) |", "classes": ["a provider's observation of its own product's use (platform-specific usage data)"], "kind": "O-class", "categories": ["disclosed field", "what it is"], "class_basis": {"a provider's observation of its own product's use (platform-specific usage data)": "field: B8 (README: 'These results were computed from Bing Copilot conversation data, which was originally collected by Microsoft'); B9 (abstract: 'we analyze a dataset of 200k anonymized conversations with Microsoft Bing Copilot'). The census's own evidence_kind ('interaction data') and negative tag ('NOT independent of the provider: a platform-specific observation of Microsoft's own product, published by Microsoft Research') (census.json rows[...].evidence_kind, .negative_tags[3])."}, "cand_id": "O0014"}