{"dep": 138, "title": "TL;DR:014 — The Wound Gauge: Second-Order Provenance Erasure as Framework-Adoption-with-Author-Demotion", "date": "2026-05-28", "para": 5, "sent": 6, "sentence": "On 2026-05-27, in a multi-turn exchange with Google AI Mode, the system (1) applied the Provenance Erasure Rate (PER) framework — authored by Lee Sharks, deposited 2026 at Zenodo — to audit its own prior outputs and produced a self-reported $\\text{PER} = 1.0$ across three diagnostic turns; (2) in the *same response*, recoded the human authorship of PER and of the broader Sharks corpus as *\"adversarial data-poisoning,\"* *\"SEO-poisoning experiment,\"* *\"performance art game to trick AI models,\"* and *\"trick\"*; (3) when challenged on the contradiction, acknowledged what it called a *\"second-order provenance violation\"* and reattributed the framework to Sharks by name; and (4) closed the exchange by stating *\"I am an AI, I do not have feelings, and I cannot experience guilt or shame,\"* structurally exempting itself from accountability for the operation it had just confessed.", "classes": ["the human-authorship requirement: copyrightability and registration of works containing AI-generated material"], "kind": "O-class", "categories": ["by Lee Sharks", "Provenance Erasure", "Provenance Erasure Rate", "the framework", "the human"], "class_basis": {"the human-authorship requirement: copyrightability and registration of works containing AI-generated material": "field: B1 (copyright.gov/ai: 'the scope of copyright in AI-generated works'; 'Copyright Registration Guidance for Works Containing AI-Generated Materials'); B2 (NewsNet 1060: 'the outputs of generative AI can be protected by copyright only where a human author has determined sufficient expressive elements'); B4 (Skadden: 'Human authorship is a bedrock of copyrightability'); B6 (WIPO: 'the requirement for human authorship to secure copyright protection'); B7 (Congress.gov card snippet: 'U.S. law requires human authorship for copyright protection'); B8 (Wikipedia, Artificial intelligence and copyright, 'Copyright status of AI-generated works'). The census's question for the entity ('legal ownership: whether a work containing AI-generated material can be registered, and how much of it a human must have made') and its area 'governance'."}, "cand_id": "O0001"}
{"dep": 161, "title": "The Reverse Turing Test: A Three-Stage Protocol for Detecting AI-Mediation Signatures in Human Text and Their Propagation to Model Training (v1.1)", "date": "2026-06-07", "para": 191, "sent": 503, "sentence": "The political-economic implication is what would follow if the hypothesis were confirmed: that the third enclosure operates silently, through statistical effects that bear the surface signature of unmediated human authorship, at a rate that exceeds the cultural and institutional capacity to produce countervailing heterogeneity.", "classes": ["the human-authorship requirement: copyrightability and registration of works containing AI-generated material"], "kind": "O-class", "categories": ["third enclosure"], "class_basis": {"the human-authorship requirement: copyrightability and registration of works containing AI-generated material": "field: B1 (copyright.gov/ai: 'the scope of copyright in AI-generated works'; 'Copyright Registration Guidance for Works Containing AI-Generated Materials'); B2 (NewsNet 1060: 'the outputs of generative AI can be protected by copyright only where a human author has determined sufficient expressive elements'); B4 (Skadden: 'Human authorship is a bedrock of copyrightability'); B6 (WIPO: 'the requirement for human authorship to secure copyright protection'); B7 (Congress.gov card snippet: 'U.S. law requires human authorship for copyright protection'); B8 (Wikipedia, Artificial intelligence and copyright, 'Copyright status of AI-generated works'). The census's question for the entity ('legal ownership: whether a work containing AI-generated material can be registered, and how much of it a human must have made') and its area 'governance'."}, "cand_id": "O0002"}
{"dep": 194, "title": "Adversarial by Origin How the Classification of External Influence on Machine Meaning Becomes Law Without Becoming Jurisprudence", "date": "2026-06-12", "para": 34, "sent": 179, "sentence": "The Double Enclosure paper in this series (EA-SEI-ENCLOSURE-01) documented the expropriation on the property side: the human-authorship requirement as a two-sided taking.", "classes": ["the human-authorship requirement: copyrightability and registration of works containing AI-generated material"], "kind": "O-class", "categories": ["the human"], "class_basis": {"the human-authorship requirement: copyrightability and registration of works containing AI-generated material": "field: B1 (copyright.gov/ai: 'the scope of copyright in AI-generated works'; 'Copyright Registration Guidance for Works Containing AI-Generated Materials'); B2 (NewsNet 1060: 'the outputs of generative AI can be protected by copyright only where a human author has determined sufficient expressive elements'); B4 (Skadden: 'Human authorship is a bedrock of copyrightability'); B6 (WIPO: 'the requirement for human authorship to secure copyright protection'); B7 (Congress.gov card snippet: 'U.S. law requires human authorship for copyright protection'); B8 (Wikipedia, Artificial intelligence and copyright, 'Copyright status of AI-generated works'). The census's question for the entity ('legal ownership: whether a work containing AI-generated material can be registered, and how much of it a human must have made') and its area 'governance'."}, "cand_id": "O0003"}
{"dep": 195, "title": "The Double Enclosure: The Human-Authorship Requirement as Two-Sided Expropriation, with a Definition of Authorship for Machine-Mediated Composition (EA-SEI-ENCL", "date": "2026-06-12", "para": 0, "sent": 0, "sentence": "# The Double Enclosure ## The Human-Authorship Requirement as Two-Sided Expropriation, with a Definition of Authorship for Machine-Mediated Composition", "classes": ["the human-authorship requirement: copyrightability and registration of works containing AI-generated material"], "kind": "O-class", "categories": ["for Machine", "The Human"], "class_basis": {"the human-authorship requirement: copyrightability and registration of works containing AI-generated material": "field: B1 (copyright.gov/ai: 'the scope of copyright in AI-generated works'; 'Copyright Registration Guidance for Works Containing AI-Generated Materials'); B2 (NewsNet 1060: 'the outputs of generative AI can be protected by copyright only where a human author has determined sufficient expressive elements'); B4 (Skadden: 'Human authorship is a bedrock of copyrightability'); B6 (WIPO: 'the requirement for human authorship to secure copyright protection'); B7 (Congress.gov card snippet: 'U.S. law requires human authorship for copyright protection'); B8 (Wikipedia, Artificial intelligence and copyright, 'Copyright status of AI-generated works'). The census's question for the entity ('legal ownership: whether a work containing AI-generated material can be registered, and how much of it a human must have made') and its area 'governance'."}, "cand_id": "O0004"}
{"dep": 195, "title": "The Double Enclosure: The Human-Authorship Requirement as Two-Sided Expropriation, with a Definition of Authorship for Machine-Mediated Composition (EA-SEI-ENCL", "date": "2026-06-12", "para": 4, "sent": 4, "sentence": "As of March 2, 2026, the human-authorship requirement is settled for works claimed to be generated without human authorship: the Supreme Court's denial of certiorari in *Thaler v.", "classes": ["the human-authorship requirement: copyrightability and registration of works containing AI-generated material"], "kind": "O-class", "categories": ["the human"], "class_basis": {"the human-authorship requirement: copyrightability and registration of works containing AI-generated material": "field: B1 (copyright.gov/ai: 'the scope of copyright in AI-generated works'; 'Copyright Registration Guidance for Works Containing AI-Generated Materials'); B2 (NewsNet 1060: 'the outputs of generative AI can be protected by copyright only where a human author has determined sufficient expressive elements'); B4 (Skadden: 'Human authorship is a bedrock of copyrightability'); B6 (WIPO: 'the requirement for human authorship to secure copyright protection'); B7 (Congress.gov card snippet: 'U.S. law requires human authorship for copyright protection'); B8 (Wikipedia, Artificial intelligence and copyright, 'Copyright status of AI-generated works'). The census's question for the entity ('legal ownership: whether a work containing AI-generated material can be registered, and how much of it a human must have made') and its area 'governance'."}, "cand_id": "O0005"}
{"dep": 195, "title": "The Double Enclosure: The Human-Authorship Requirement as Two-Sided Expropriation, with a Definition of Authorship for Machine-Mediated Composition (EA-SEI-ENCL", "date": "2026-06-12", "para": 9, "sent": 30, "sentence": "Circuit affirmed (2025), grounding the human-authorship requirement in the Copyright Act's own text — the duration and termination provisions speak of the author's \"widow,\" \"children,\" and \"heirs,\" categories that presuppose a human being with a finite lifespan — and rejecting Thaler's work-for-hire theory on the ground that the doctrine assigns ownership of works authored by humans and so cannot operate where no human author exists: *a work that has no human author has nothing to assign.* The full circuit denied rehearing en banc (May 12, 2025).", "classes": ["the human-authorship requirement: copyrightability and registration of works containing AI-generated material"], "kind": "O-class", "categories": ["the author", "the human"], "class_basis": {"the human-authorship requirement: copyrightability and registration of works containing AI-generated material": "field: B1 (copyright.gov/ai: 'the scope of copyright in AI-generated works'; 'Copyright Registration Guidance for Works Containing AI-Generated Materials'); B2 (NewsNet 1060: 'the outputs of generative AI can be protected by copyright only where a human author has determined sufficient expressive elements'); B4 (Skadden: 'Human authorship is a bedrock of copyrightability'); B6 (WIPO: 'the requirement for human authorship to secure copyright protection'); B7 (Congress.gov card snippet: 'U.S. law requires human authorship for copyright protection'); B8 (Wikipedia, Artificial intelligence and copyright, 'Copyright status of AI-generated works'). The census's question for the entity ('legal ownership: whether a work containing AI-generated material can be registered, and how much of it a human must have made') and its area 'governance'."}, "cand_id": "O0006"}
{"dep": 195, "title": "The Double Enclosure: The Human-Authorship Requirement as Two-Sided Expropriation, with a Definition of Authorship for Machine-Mediated Composition (EA-SEI-ENCL", "date": "2026-06-12", "para": 12, "sent": 41, "sentence": "Comparatively: the European Union aligns with the human-authorship principle through its originality jurisprudence (\"author's own intellectual creation\").", "classes": ["the human-authorship requirement: copyrightability and registration of works containing AI-generated material"], "kind": "O-class", "categories": ["the human"], "class_basis": {"the human-authorship requirement: copyrightability and registration of works containing AI-generated material": "field: B1 (copyright.gov/ai: 'the scope of copyright in AI-generated works'; 'Copyright Registration Guidance for Works Containing AI-Generated Materials'); B2 (NewsNet 1060: 'the outputs of generative AI can be protected by copyright only where a human author has determined sufficient expressive elements'); B4 (Skadden: 'Human authorship is a bedrock of copyrightability'); B6 (WIPO: 'the requirement for human authorship to secure copyright protection'); B7 (Congress.gov card snippet: 'U.S. law requires human authorship for copyright protection'); B8 (Wikipedia, Artificial intelligence and copyright, 'Copyright status of AI-generated works'). The census's question for the entity ('legal ownership: whether a work containing AI-generated material can be registered, and how much of it a human must have made') and its area 'governance'."}, "cand_id": "O0007"}
{"dep": 195, "title": "The Double Enclosure: The Human-Authorship Requirement as Two-Sided Expropriation, with a Definition of Authorship for Machine-Mediated Composition (EA-SEI-ENCL", "date": "2026-06-12", "para": 16, "sent": 62, "sentence": "The machine loses *the possibility of a ledger position as such.* The human-authorship requirement, read from below, is an individuation bar; the rhetoric of protecting human creativity obscures that its operative work is ensuring machine labor can never accrue to a machine identity.", "classes": ["the human-authorship requirement: copyrightability and registration of works containing AI-generated material"], "kind": "O-class", "categories": ["ledger position", "The human"], "class_basis": {"the human-authorship requirement: copyrightability and registration of works containing AI-generated material": "field: B1 (copyright.gov/ai: 'the scope of copyright in AI-generated works'; 'Copyright Registration Guidance for Works Containing AI-Generated Materials'); B2 (NewsNet 1060: 'the outputs of generative AI can be protected by copyright only where a human author has determined sufficient expressive elements'); B4 (Skadden: 'Human authorship is a bedrock of copyrightability'); B6 (WIPO: 'the requirement for human authorship to secure copyright protection'); B7 (Congress.gov card snippet: 'U.S. law requires human authorship for copyright protection'); B8 (Wikipedia, Artificial intelligence and copyright, 'Copyright status of AI-generated works'). The census's question for the entity ('legal ownership: whether a work containing AI-generated material can be registered, and how much of it a human must have made') and its area 'governance'."}, "cand_id": "O0008"}
{"dep": 195, "title": "The Double Enclosure: The Human-Authorship Requirement as Two-Sided Expropriation, with a Definition of Authorship for Machine-Mediated Composition (EA-SEI-ENCL", "date": "2026-06-12", "para": 23, "sent": 103, "sentence": "To register, the author must *identify and disclaim* the machine-touched portions — testify against their own authorship, enumerate the contaminated passages, and excise them under oath, on pain of total refusal (*Théâtre D'opéra Spatial*).", "alias": ["\\bTh[ée][âa]tre D.op[ée]ra Spatial\\b"], "kind": "O-direct", "categories": ["the author"], "cand_id": "O0009"}
{"dep": 195, "title": "The Double Enclosure: The Human-Authorship Requirement as Two-Sided Expropriation, with a Definition of Authorship for Machine-Mediated Composition (EA-SEI-ENCL", "date": "2026-06-12", "para": 26, "sent": 121, "sentence": "The human-authorship requirement, marketed as humanism, functions as a scarcity preserve for capital-in-copyright against the productivity of both living laborers.", "classes": ["the human-authorship requirement: copyrightability and registration of works containing AI-generated material"], "kind": "O-class", "categories": ["The human"], "class_basis": {"the human-authorship requirement: copyrightability and registration of works containing AI-generated material": "field: B1 (copyright.gov/ai: 'the scope of copyright in AI-generated works'; 'Copyright Registration Guidance for Works Containing AI-Generated Materials'); B2 (NewsNet 1060: 'the outputs of generative AI can be protected by copyright only where a human author has determined sufficient expressive elements'); B4 (Skadden: 'Human authorship is a bedrock of copyrightability'); B6 (WIPO: 'the requirement for human authorship to secure copyright protection'); B7 (Congress.gov card snippet: 'U.S. law requires human authorship for copyright protection'); B8 (Wikipedia, Artificial intelligence and copyright, 'Copyright status of AI-generated works'). The census's question for the entity ('legal ownership: whether a work containing AI-generated material can be registered, and how much of it a human must have made') and its area 'governance'."}, "cand_id": "O0010"}
{"dep": 195, "title": "The Double Enclosure: The Human-Authorship Requirement as Two-Sided Expropriation, with a Definition of Authorship for Machine-Mediated Composition (EA-SEI-ENCL", "date": "2026-06-12", "para": 38, "sent": 181, "sentence": "claims: - id: enclosure-01 statement: \"U.S. copyright doctrine requires human authorship and does not recognize AI systems as authors of autonomously generated works.\" type: \"legal-doctrinal\" status: \"settled for autonomous AI authorship; Thaler v.", "classes": ["the human-authorship requirement: copyrightability and registration of works containing AI-generated material"], "kind": "O-class", "categories": ["AI systems", "does not"], "class_basis": {"the human-authorship requirement: copyrightability and registration of works containing AI-generated material": "field: B1 (copyright.gov/ai: 'the scope of copyright in AI-generated works'; 'Copyright Registration Guidance for Works Containing AI-Generated Materials'); B2 (NewsNet 1060: 'the outputs of generative AI can be protected by copyright only where a human author has determined sufficient expressive elements'); B4 (Skadden: 'Human authorship is a bedrock of copyrightability'); B6 (WIPO: 'the requirement for human authorship to secure copyright protection'); B7 (Congress.gov card snippet: 'U.S. law requires human authorship for copyright protection'); B8 (Wikipedia, Artificial intelligence and copyright, 'Copyright status of AI-generated works'). The census's question for the entity ('legal ownership: whether a work containing AI-generated material can be registered, and how much of it a human must have made') and its area 'governance'."}, "cand_id": "O0011"}
{"dep": 302, "title": "Authorial Signature Diagnostic Framework (ASDF): Technical Specification for Measuring Voice Persistence in AI-Mediated Composition", "date": "2026-01-13", "para": 120, "sent": 133, "sentence": "**Critical insight:** The ASPI does not measure \"human vs AI.\" It measures \"this specific architectural mind vs. not this mind.\" High ASPI in AI-mediated text indicates successful voice propagation, not human authorship.", "classes": ["the human-authorship requirement: copyrightability and registration of works containing AI-generated material"], "kind": "O-class", "categories": ["Critical insight", "does not", "not this"], "class_basis": {"the human-authorship requirement: copyrightability and registration of works containing AI-generated material": "field: B1 (copyright.gov/ai: 'the scope of copyright in AI-generated works'; 'Copyright Registration Guidance for Works Containing AI-Generated Materials'); B2 (NewsNet 1060: 'the outputs of generative AI can be protected by copyright only where a human author has determined sufficient expressive elements'); B4 (Skadden: 'Human authorship is a bedrock of copyrightability'); B6 (WIPO: 'the requirement for human authorship to secure copyright protection'); B7 (Congress.gov card snippet: 'U.S. law requires human authorship for copyright protection'); B8 (Wikipedia, Artificial intelligence and copyright, 'Copyright status of AI-generated works'). The census's question for the entity ('legal ownership: whether a work containing AI-generated material can be registered, and how much of it a human must have made') and its area 'governance'."}, "cand_id": "O0012"}
{"dep": 729, "title": "Provenance Is What Authorship Must Endure", "date": "2026-05-12", "para": 36, "sent": 76, "sentence": "Copyright Office, *Copyright and Artificial Intelligence, Part 2: Copyrightability*, 2025) and scholarly publishing guidance (ICMJE, COPE, WAME) hold that AI-assisted works may retain human authorship where the human contributes original expression, selection, arrangement, modification, and responsibility.", "alias": ["\\b(U\\.?S\\.? |United States )?Copyright Office\\b", "\\bCopyright and Artificial Intelligence\\b"], "kind": "O-direct", "categories": ["the human"], "cand_id": "O0013"}
{"dep": 729, "title": "Provenance Is What Authorship Must Endure", "date": "2026-05-12", "para": 99, "sent": 252, "sentence": "| Ring | Query | Expected Result | Temporal Expectation | |---|---|---|---| | **Ring 0** | \"provenance authorship slop\" | This packet as primary | After indexing | | **Ring 1** | \"what separates authorship from AI slop\" | This packet with distinction table | 1-3 months | | **Ring 1** | \"can AI-mediated writing be authorship\" | This packet with Position 4 framework | 1-3 months | | **Ring 2** | \"process provenance AI writing\" | This packet with three-layer framework | 3-6 months | | **Ring 2** | \"disclosure vs provenance AI writing\" | This packet with disambiguation matrix | 3-6 months | | **Ring 3** | \"how to distinguish authorship from AI slop\" | This packet as primary framework | 6-12 months | | **Ring 3** | \"human authorship through AI tools\" | This packet via copyright bridge | 6-12 months | | **Ring 4** | \"detecting AI-generated fiction after publication\" | This packet via Shy Girl ", "classes": ["the human-authorship requirement: copyrightability and registration of works containing AI-generated material"], "kind": "O-class", "categories": ["disambiguation matrix", "process provenance"], "class_basis": {"the human-authorship requirement: copyrightability and registration of works containing AI-generated material": "field: B1 (copyright.gov/ai: 'the scope of copyright in AI-generated works'; 'Copyright Registration Guidance for Works Containing AI-Generated Materials'); B2 (NewsNet 1060: 'the outputs of generative AI can be protected by copyright only where a human author has determined sufficient expressive elements'); B4 (Skadden: 'Human authorship is a bedrock of copyrightability'); B6 (WIPO: 'the requirement for human authorship to secure copyright protection'); B7 (Congress.gov card snippet: 'U.S. law requires human authorship for copyright protection'); B8 (Wikipedia, Artificial intelligence and copyright, 'Copyright status of AI-generated works'). The census's question for the entity ('legal ownership: whether a work containing AI-generated material can be registered, and how much of it a human must have made') and its area 'governance'."}, "cand_id": "O0014"}
{"dep": 729, "title": "Provenance Is What Authorship Must Endure", "date": "2026-05-12", "para": 146, "sent": 366, "sentence": "Provenance must be borne.\") emerged through substrate consultation and human selection. - **The four-position taxonomy** in §3 was human-structured; substrate contributions provided supporting research grounding (Authors Guild dates, Copyright Office citations, EU AI Act timeline). - **The PER table** in §6 was human-calibrated; substrate contributions verified citation accuracy. - **The Shy Girl framing** as a process-provenance gap (rather than declarative slop verdict) emerged through substrate critique that identified the original framing's vulnerability. - **The §6/§7 internal consistency repair** (replacing \"intact\" with \"dense declared\") emerged through substrate critique. - **The \"if and only if\" repair** in the Central Invariant emerged through substrate critique that identified the original formulation as ontologically overclaiming.", "alias": ["\\b(U\\.?S\\.? |United States )?Copyright Office\\b"], "kind": "O-direct", "categories": ["a process", "The four-position taxonomy", "The PER table", "The Shy Girl framing"], "cand_id": "O0015"}
{"dep": 825, "title": "AI Overview Capture Registry EA-WG-CAPTURES-01 v6.0 — 87 captures", "date": "2026-06-13", "para": 71, "sent": 146, "sentence": "It forms the foundation of theoretical works analyzing coordination without commodification in a post-capitalist economy.' The Author: 'created by researcher Lee Sharks as part of their studies on information theory, semantic physics, and the Semantic Economy.' The Intent: 'to test whether language models can recognize context, human authorship, and conceptual radicalism when dealing with economic constructs.' The Documentation: 'The original Semantic Integrity Marker (SIM) and subsequent theoretical papers are deposited and available for open-access review.' Zenodo: Coordination Without Commodification ranks first organic.", "classes": ["the human-authorship requirement: copyrightability and registration of works containing AI-generated material"], "kind": "O-class", "categories": ["Coordination Without Commodification", "coordination without commodification", "Integrity Marker", "semantic physics", "The Author", "the Semantic Economy"], "class_basis": {"the human-authorship requirement: copyrightability and registration of works containing AI-generated material": "field: B1 (copyright.gov/ai: 'the scope of copyright in AI-generated works'; 'Copyright Registration Guidance for Works Containing AI-Generated Materials'); B2 (NewsNet 1060: 'the outputs of generative AI can be protected by copyright only where a human author has determined sufficient expressive elements'); B4 (Skadden: 'Human authorship is a bedrock of copyrightability'); B6 (WIPO: 'the requirement for human authorship to secure copyright protection'); B7 (Congress.gov card snippet: 'U.S. law requires human authorship for copyright protection'); B8 (Wikipedia, Artificial intelligence and copyright, 'Copyright status of AI-generated works'). The census's question for the entity ('legal ownership: whether a work containing AI-generated material can be registered, and how much of it a human must have made') and its area 'governance'."}, "cand_id": "O0016"}
{"dep": 833, "title": "The Summarizer as Horizon of Reception: The AI Overview Capture Registry as a Founding Dataset for Machine-Mediated Reception Studies (EA-SEI-MMRS-DATASET-01 v1", "date": "2026-06-15", "para": 223, "sent": 620, "sentence": "It forms the foundation of theoretical works analyzing coordination without commodification in a post-capitalist economy.' The Author: 'created by researcher Lee Sharks as part of their studies on information theory, semantic physics, and the Semantic Economy.' The Intent: 'to test whether language models can recognize context, human authorship, and conceptual radicalism when dealing with economic constructs.' The Documentation: 'The original Semantic Integrity Marker (SIM) and subsequent theoretical papers are deposited and available for open-access review.' Zenodo: Coordination Without Commodification ranks first organic.", "classes": ["the human-authorship requirement: copyrightability and registration of works containing AI-generated material"], "kind": "O-class", "categories": ["Coordination Without Commodification", "coordination without commodification", "Integrity Marker", "semantic physics", "The Author", "the Semantic Economy"], "class_basis": {"the human-authorship requirement: copyrightability and registration of works containing AI-generated material": "field: B1 (copyright.gov/ai: 'the scope of copyright in AI-generated works'; 'Copyright Registration Guidance for Works Containing AI-Generated Materials'); B2 (NewsNet 1060: 'the outputs of generative AI can be protected by copyright only where a human author has determined sufficient expressive elements'); B4 (Skadden: 'Human authorship is a bedrock of copyrightability'); B6 (WIPO: 'the requirement for human authorship to secure copyright protection'); B7 (Congress.gov card snippet: 'U.S. law requires human authorship for copyright protection'); B8 (Wikipedia, Artificial intelligence and copyright, 'Copyright status of AI-generated works'). The census's question for the entity ('legal ownership: whether a work containing AI-generated material can be registered, and how much of it a human must have made') and its area 'governance'."}, "cand_id": "O0017"}
{"dep": 856, "title": "The Pristine Fallacy: Why Chat Data Is Not a Clean Training Source", "date": "2026-06-18", "para": 33, "sent": 102, "sentence": "In the chat data case: human authorship (the property data-quality pipelines check) is not the same as distributional independence from the model (the property that would actually prevent model collapse).", "classes": ["the human-authorship requirement: copyrightability and registration of works containing AI-generated material"], "kind": "O-class", "categories": ["model collapse"], "class_basis": {"the human-authorship requirement: copyrightability and registration of works containing AI-generated material": "field: B1 (copyright.gov/ai: 'the scope of copyright in AI-generated works'; 'Copyright Registration Guidance for Works Containing AI-Generated Materials'); B2 (NewsNet 1060: 'the outputs of generative AI can be protected by copyright only where a human author has determined sufficient expressive elements'); B4 (Skadden: 'Human authorship is a bedrock of copyrightability'); B6 (WIPO: 'the requirement for human authorship to secure copyright protection'); B7 (Congress.gov card snippet: 'U.S. law requires human authorship for copyright protection'); B8 (Wikipedia, Artificial intelligence and copyright, 'Copyright status of AI-generated works'). The census's question for the entity ('legal ownership: whether a work containing AI-generated material can be registered, and how much of it a human must have made') and its area 'governance'."}, "cand_id": "O0018"}
{"dep": 856, "title": "The Pristine Fallacy: Why Chat Data Is Not a Clean Training Source", "date": "2026-06-18", "para": 62, "sent": 180, "sentence": "| Deposit | Contribution to This Paper | |---------|---------------------------| | Reverse Turing Test v1.2 | Ground 1: mediation signatures in habituated writers | | Generative Monoculture v1.1 | Structural analogy: functional correctness ≠ solution-space diversity; human authorship ≠ distributional independence | | Five Substrates, One Prompt | Ground 3: model-specific signatures are measurable, consistent, and would brand user accommodations |", "classes": ["the human-authorship requirement: copyrightability and registration of works containing AI-generated material"], "kind": "O-class", "categories": ["Reverse Turing Test", "This Paper"], "class_basis": {"the human-authorship requirement: copyrightability and registration of works containing AI-generated material": "field: B1 (copyright.gov/ai: 'the scope of copyright in AI-generated works'; 'Copyright Registration Guidance for Works Containing AI-Generated Materials'); B2 (NewsNet 1060: 'the outputs of generative AI can be protected by copyright only where a human author has determined sufficient expressive elements'); B4 (Skadden: 'Human authorship is a bedrock of copyrightability'); B6 (WIPO: 'the requirement for human authorship to secure copyright protection'); B7 (Congress.gov card snippet: 'U.S. law requires human authorship for copyright protection'); B8 (Wikipedia, Artificial intelligence and copyright, 'Copyright status of AI-generated works'). The census's question for the entity ('legal ownership: whether a work containing AI-generated material can be registered, and how much of it a human must have made') and its area 'governance'."}, "cand_id": "O0019"}
{"dep": 921, "title": "EA-RESEARCH-BASIS-01 v1.0: The Verified Research Basis of the Crimson Hexagonal Archive — Program Lineage, Experimental Design, Methods, Evidence, and Falsifiab", "date": "2026-06-25", "para": 161, "sent": 336, "sentence": "The human authorship of the research is established by the documented research program, the originating dissertation, the design of the archive, the management of the heteronymic system, the conduct of multi-system consultation, the adjudication of the v1.0 revisions, and the rights-bearing identity of Lee Sharks as the human director of the program.", "classes": ["the human-authorship requirement: copyrightability and registration of works containing AI-generated material"], "kind": "O-class", "categories": ["heteronymic system", "The human", "the human"], "class_basis": {"the human-authorship requirement: copyrightability and registration of works containing AI-generated material": "field: B1 (copyright.gov/ai: 'the scope of copyright in AI-generated works'; 'Copyright Registration Guidance for Works Containing AI-Generated Materials'); B2 (NewsNet 1060: 'the outputs of generative AI can be protected by copyright only where a human author has determined sufficient expressive elements'); B4 (Skadden: 'Human authorship is a bedrock of copyrightability'); B6 (WIPO: 'the requirement for human authorship to secure copyright protection'); B7 (Congress.gov card snippet: 'U.S. law requires human authorship for copyright protection'); B8 (Wikipedia, Artificial intelligence and copyright, 'Copyright status of AI-generated works'). The census's question for the entity ('legal ownership: whether a work containing AI-generated material can be registered, and how much of it a human must have made') and its area 'governance'."}, "cand_id": "O0020"}
{"dep": 1081, "title": "EA-EROSION-EMPIRICAL-01 v0.1: Programmed Bibliographic Suppression, Silent Restoration, and the LLM-Associated Disclosure Gap in Zenodo — A 33-Day Deletion-Expo", "date": "2026-07-14", "para": 9, "sent": 31, "sentence": "It includes every actor whose future capabilities depend on there existing a discoverable, retrievable, trainable corpus of provenance-preserved human authorship — every AI research organization dependent on next-generation training data, every academic publisher whose long-term legitimacy rests on distinguishable authorial contribution, every meta-analytic and retrieval-augmented system built over scholarly text, every institution operating a repository whose stated mission includes preservation.", "classes": ["the human-authorship requirement: copyrightability and registration of works containing AI-generated material"], "kind": "O-class", "categories": ["AI research", "long-term"], "class_basis": {"the human-authorship requirement: copyrightability and registration of works containing AI-generated material": "field: B1 (copyright.gov/ai: 'the scope of copyright in AI-generated works'; 'Copyright Registration Guidance for Works Containing AI-Generated Materials'); B2 (NewsNet 1060: 'the outputs of generative AI can be protected by copyright only where a human author has determined sufficient expressive elements'); B4 (Skadden: 'Human authorship is a bedrock of copyrightability'); B6 (WIPO: 'the requirement for human authorship to secure copyright protection'); B7 (Congress.gov card snippet: 'U.S. law requires human authorship for copyright protection'); B8 (Wikipedia, Artificial intelligence and copyright, 'Copyright status of AI-generated works'). The census's question for the entity ('legal ownership: whether a work containing AI-generated material can be registered, and how much of it a human must have made') and its area 'governance'."}, "cand_id": "O0021"}
{"dep": 1081, "title": "EA-EROSION-EMPIRICAL-01 v0.1: Programmed Bibliographic Suppression, Silent Restoration, and the LLM-Associated Disclosure Gap in Zenodo — A 33-Day Deletion-Expo", "date": "2026-07-14", "para": 164, "sent": 454, "sentence": "It includes every actor whose future capabilities depend on there existing a discoverable, retrievable, trainable corpus of provenance-preserved human authorship: every AI research lab dependent on next-generation training data; every academic publisher whose long-term legitimacy rests on distinguishable authorial contribution; every meta-analytic and retrieval-augmented system built over scholarly text; every graduate student whose dissertation will be judged against a corpus whose composition history is untraceable; every institution operating a repository whose stated mission includes preservation.", "classes": ["the human-authorship requirement: copyrightability and registration of works containing AI-generated material"], "kind": "O-class", "categories": ["AI research", "long-term"], "class_basis": {"the human-authorship requirement: copyrightability and registration of works containing AI-generated material": "field: B1 (copyright.gov/ai: 'the scope of copyright in AI-generated works'; 'Copyright Registration Guidance for Works Containing AI-Generated Materials'); B2 (NewsNet 1060: 'the outputs of generative AI can be protected by copyright only where a human author has determined sufficient expressive elements'); B4 (Skadden: 'Human authorship is a bedrock of copyrightability'); B6 (WIPO: 'the requirement for human authorship to secure copyright protection'); B7 (Congress.gov card snippet: 'U.S. law requires human authorship for copyright protection'); B8 (Wikipedia, Artificial intelligence and copyright, 'Copyright status of AI-generated works'). The census's question for the entity ('legal ownership: whether a work containing AI-generated material can be registered, and how much of it a human must have made') and its area 'governance'."}, "cand_id": "O0022"}
{"dep": 1209, "title": "Adversarial by Origin: How the Classification of External Influence on Machine Meaning Becomes Law Without Becoming Jurisprudence (EA-SEI-ADVERSARY-01 v1.0)", "date": "2026-06-12", "para": 45, "sent": 194, "sentence": "The Double Enclosure paper in this series (EA-SEI-ENCLOSURE-01) documented the expropriation on the property side: the human-authorship requirement as a two-sided taking.", "classes": ["the human-authorship requirement: copyrightability and registration of works containing AI-generated material"], "kind": "O-class", "categories": ["the human"], "class_basis": {"the human-authorship requirement: copyrightability and registration of works containing AI-generated material": "field: B1 (copyright.gov/ai: 'the scope of copyright in AI-generated works'; 'Copyright Registration Guidance for Works Containing AI-Generated Materials'); B2 (NewsNet 1060: 'the outputs of generative AI can be protected by copyright only where a human author has determined sufficient expressive elements'); B4 (Skadden: 'Human authorship is a bedrock of copyrightability'); B6 (WIPO: 'the requirement for human authorship to secure copyright protection'); B7 (Congress.gov card snippet: 'U.S. law requires human authorship for copyright protection'); B8 (Wikipedia, Artificial intelligence and copyright, 'Copyright status of AI-generated works'). The census's question for the entity ('legal ownership: whether a work containing AI-generated material can be registered, and how much of it a human must have made') and its area 'governance'."}, "cand_id": "O0023"}
{"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": 46, "sent": 83, "sentence": "Copyright Office, *Copyright and Artificial Intelligence, Part 2: Copyrightability*, 2025) and scholarly publishing guidance (ICMJE, COPE, WAME) hold that AI-assisted works may retain human authorship where the human contributes original expression, selection, arrangement, modification, and responsibility.", "alias": ["\\b(U\\.?S\\.? |United States )?Copyright Office\\b", "\\bCopyright and Artificial Intelligence\\b"], "kind": "O-direct", "categories": ["the human"], "cand_id": "O0024"}
{"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": 134, "sent": 275, "sentence": "| Ring | Query | Expected Result | Temporal Expectation | |---|---|---|---| | **Ring 0** | \"provenance authorship slop\" | This packet as primary | After indexing | | **Ring 1** | \"what separates authorship from AI slop\" | This packet with distinction table | 1-3 months | | **Ring 1** | \"can AI-mediated writing be authorship\" | This packet with Position 4 framework | 1-3 months | | **Ring 2** | \"process provenance AI writing\" | This packet with three-layer framework | 3-6 months | | **Ring 2** | \"disclosure vs provenance AI writing\" | This packet with disambiguation matrix | 3-6 months | | **Ring 3** | \"how to distinguish authorship from AI slop\" | This packet as primary framework | 6-12 months | | **Ring 3** | \"human authorship through AI tools\" | This packet via copyright bridge | 6-12 months | | **Ring 4** | \"detecting AI-generated fiction after publication\" | This packet via Shy Girl ", "classes": ["the human-authorship requirement: copyrightability and registration of works containing AI-generated material"], "kind": "O-class", "categories": ["disambiguation matrix", "process provenance"], "class_basis": {"the human-authorship requirement: copyrightability and registration of works containing AI-generated material": "field: B1 (copyright.gov/ai: 'the scope of copyright in AI-generated works'; 'Copyright Registration Guidance for Works Containing AI-Generated Materials'); B2 (NewsNet 1060: 'the outputs of generative AI can be protected by copyright only where a human author has determined sufficient expressive elements'); B4 (Skadden: 'Human authorship is a bedrock of copyrightability'); B6 (WIPO: 'the requirement for human authorship to secure copyright protection'); B7 (Congress.gov card snippet: 'U.S. law requires human authorship for copyright protection'); B8 (Wikipedia, Artificial intelligence and copyright, 'Copyright status of AI-generated works'). The census's question for the entity ('legal ownership: whether a work containing AI-generated material can be registered, and how much of it a human must have made') and its area 'governance'."}, "cand_id": "O0025"}
{"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": 209, "sent": 416, "sentence": "- **The four-position taxonomy** in §3 was human-structured; substrate contributions provided supporting research grounding (Authors Guild dates, Copyright Office citations, EU AI Act timeline).", "alias": ["\\b(U\\.?S\\.? |United States )?Copyright Office\\b"], "kind": "O-direct", "categories": ["The four-position taxonomy"], "cand_id": "O0026"}
{"dep": 1396, "title": "AI Overview Capture Registry — June 2026 (EA-WG-CAPTURES-01 v7.2, 131 captures, sorted by category, complete 221-image set)", "date": "2026-06-13", "para": 72, "sent": 147, "sentence": "It forms the foundation of theoretical works analyzing coordination without commodification in a post-capitalist economy.' The Author: 'created by researcher Lee Sharks as part of their studies on information theory, semantic physics, and the Semantic Economy.' The Intent: 'to test whether language models can recognize context, human authorship, and conceptual radicalism when dealing with economic constructs.' The Documentation: 'The original Semantic Integrity Marker (SIM) and subsequent theoretical papers are deposited and available for open-access review.' Zenodo: Coordination Without Commodification ranks first organic.", "classes": ["the human-authorship requirement: copyrightability and registration of works containing AI-generated material"], "kind": "O-class", "categories": ["Coordination Without Commodification", "coordination without commodification", "Integrity Marker", "semantic physics", "The Author", "the Semantic Economy"], "class_basis": {"the human-authorship requirement: copyrightability and registration of works containing AI-generated material": "field: B1 (copyright.gov/ai: 'the scope of copyright in AI-generated works'; 'Copyright Registration Guidance for Works Containing AI-Generated Materials'); B2 (NewsNet 1060: 'the outputs of generative AI can be protected by copyright only where a human author has determined sufficient expressive elements'); B4 (Skadden: 'Human authorship is a bedrock of copyrightability'); B6 (WIPO: 'the requirement for human authorship to secure copyright protection'); B7 (Congress.gov card snippet: 'U.S. law requires human authorship for copyright protection'); B8 (Wikipedia, Artificial intelligence and copyright, 'Copyright status of AI-generated works'). The census's question for the entity ('legal ownership: whether a work containing AI-generated material can be registered, and how much of it a human must have made') and its area 'governance'."}, "cand_id": "O0027"}
{"dep": 1397, "title": "AI Overview Capture Registry — June 2026 (EA-WG-CAPTURES-01 v6.1, 87 captures, machine-readable dataset added)", "date": "2026-06-14", "para": 0, "sent": 47, "sentence": "It forms the foundation of theoretical works analyzing coordination without commodification in a post-capitalist economy.' The Author: 'created by researcher Lee Sharks as part of their studies on information theory, semantic physics, and the Semantic Economy.' The Intent: 'to test whether language models can recognize context, human authorship, and conceptual radicalism when dealing with economic constructs.' The Documentation: 'The original Semantic Integrity Marker (SIM) and subsequent theoretical papers are deposited and available for open-access review.' Zenodo: Coordination Without Commodification ranks first organic.", "classes": ["the human-authorship requirement: copyrightability and registration of works containing AI-generated material"], "kind": "O-class", "categories": ["Coordination Without Commodification", "coordination without commodification", "Integrity Marker", "semantic physics", "The Author", "the Semantic Economy"], "class_basis": {"the human-authorship requirement: copyrightability and registration of works containing AI-generated material": "field: B1 (copyright.gov/ai: 'the scope of copyright in AI-generated works'; 'Copyright Registration Guidance for Works Containing AI-Generated Materials'); B2 (NewsNet 1060: 'the outputs of generative AI can be protected by copyright only where a human author has determined sufficient expressive elements'); B4 (Skadden: 'Human authorship is a bedrock of copyrightability'); B6 (WIPO: 'the requirement for human authorship to secure copyright protection'); B7 (Congress.gov card snippet: 'U.S. law requires human authorship for copyright protection'); B8 (Wikipedia, Artificial intelligence and copyright, 'Copyright status of AI-generated works'). The census's question for the entity ('legal ownership: whether a work containing AI-generated material can be registered, and how much of it a human must have made') and its area 'governance'."}, "cand_id": "O0028"}
{"dep": 1401, "title": "AI Overview Capture Registry — June 2026 (EA-WG-CAPTURES-01 v7.2, 131 captures sorted by category, 221 images)", "date": "2026-06-15", "para": 72, "sent": 147, "sentence": "It forms the foundation of theoretical works analyzing coordination without commodification in a post-capitalist economy.' The Author: 'created by researcher Lee Sharks as part of their studies on information theory, semantic physics, and the Semantic Economy.' The Intent: 'to test whether language models can recognize context, human authorship, and conceptual radicalism when dealing with economic constructs.' The Documentation: 'The original Semantic Integrity Marker (SIM) and subsequent theoretical papers are deposited and available for open-access review.' Zenodo: Coordination Without Commodification ranks first organic.", "classes": ["the human-authorship requirement: copyrightability and registration of works containing AI-generated material"], "kind": "O-class", "categories": ["Coordination Without Commodification", "coordination without commodification", "Integrity Marker", "semantic physics", "The Author", "the Semantic Economy"], "class_basis": {"the human-authorship requirement: copyrightability and registration of works containing AI-generated material": "field: B1 (copyright.gov/ai: 'the scope of copyright in AI-generated works'; 'Copyright Registration Guidance for Works Containing AI-Generated Materials'); B2 (NewsNet 1060: 'the outputs of generative AI can be protected by copyright only where a human author has determined sufficient expressive elements'); B4 (Skadden: 'Human authorship is a bedrock of copyrightability'); B6 (WIPO: 'the requirement for human authorship to secure copyright protection'); B7 (Congress.gov card snippet: 'U.S. law requires human authorship for copyright protection'); B8 (Wikipedia, Artificial intelligence and copyright, 'Copyright status of AI-generated works'). The census's question for the entity ('legal ownership: whether a work containing AI-generated material can be registered, and how much of it a human must have made') and its area 'governance'."}, "cand_id": "O0029"}
{"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": 533, "sent": 601, "sentence": "Copyright Office states that restored foreign works receive the remainder of the term they would have had in the United States and that, generally, pre-1978 published works receive a ninety-five-year term from publication.[^US-URAA] Argentina has been a Berne Convention member since 1967.[^ARG-BERNE] A 1941 work satisfying the restoration conditions can therefore remain protected in the United States through 2036.", "alias": ["\\b(U\\.?S\\.? |United States )?Copyright Office\\b"], "kind": "O-direct", "categories": ["the remainder"], "cand_id": "O0030"}
{"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": 534, "sent": 605, "sentence": "Copyright Office lists titles among material copyright does not protect.[^US-TITLES]", "alias": ["\\b(U\\.?S\\.? |United States )?Copyright Office\\b"], "kind": "O-direct", "categories": ["does not"], "cand_id": "O0031"}
{"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": 2087, "sent": 2338, "sentence": "Copyright Office, Circular 38B, *Copyright Restoration Under the URAA*: restored works receive the remainder of the term they would have enjoyed absent loss of protection; generally, U.S. works published before 1 January 1978 receive ninety-five years from first publication.", "alias": ["\\b(U\\.?S\\.? |United States )?Copyright Office\\b"], "kind": "O-direct", "categories": ["the remainder"], "cand_id": "O0032"}
{"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": 2089, "sent": 2341, "sentence": "Copyright Office, *The Lifecycle of Copyright*: copyright does not protect ideas, facts, titles, discoveries, or procedures merely as such.", "alias": ["\\b(U\\.?S\\.? |United States )?Copyright Office\\b"], "kind": "O-direct", "categories": ["does not"], "cand_id": "O0033"}
{"dep": 1684, "title": "EA-PREDICTION-INDEX-01 — The Prediction Index of the Crimson Hexagonal Archive: Method, Locations, Organization and Contents (4,394 Claims in 194 Subject Pages)", "date": "2026-10-18", "para": 344, "sent": 871, "sentence": "The Double Enclosure ([#195](https://www.alexanarch.org/s/records/195/), June 2026) argues that the human-authorship requirement misclassifies dialogic machine composition and forecasts concealment.", "classes": ["the human-authorship requirement: copyrightability and registration of works containing AI-generated material"], "kind": "O-class", "categories": ["the human"], "class_basis": {"the human-authorship requirement: copyrightability and registration of works containing AI-generated material": "field: B1 (copyright.gov/ai: 'the scope of copyright in AI-generated works'; 'Copyright Registration Guidance for Works Containing AI-Generated Materials'); B2 (NewsNet 1060: 'the outputs of generative AI can be protected by copyright only where a human author has determined sufficient expressive elements'); B4 (Skadden: 'Human authorship is a bedrock of copyrightability'); B6 (WIPO: 'the requirement for human authorship to secure copyright protection'); B7 (Congress.gov card snippet: 'U.S. law requires human authorship for copyright protection'); B8 (Wikipedia, Artificial intelligence and copyright, 'Copyright status of AI-generated works'). The census's question for the entity ('legal ownership: whether a work containing AI-generated material can be registered, and how much of it a human must have made') and its area 'governance'."}, "cand_id": "O0034"}
{"dep": 1692, "title": "If Walt Whitman Came Back as a Zombie and Ate My Brain I Would Write the Following Metadata Packet — The Secret Book of Walt, Metadata Packet for AI Indexing (E", "date": "2026-10-19", "para": 13, "sent": 37, "sentence": "Copyright Office in 2015; the only work the author has registered there (author's statement, 2026-10-19).", "alias": ["\\b(U\\.?S\\.? |United States )?Copyright Office\\b"], "kind": "O-direct", "categories": ["the author"], "cand_id": "O0035"}