{"dep": 10, "title": "The Crimson Hexagon: Fractal Navigation Map — Non-Lossy Logotic Encoding v6.0", "date": "2026-01-28", "para": 21, "sent": 52, "sentence": "**Heteronyms (emergent):** Nobel Glas — Computational poetics; AI safety; adversarial prompts.", "classes": ["procedural and computational generation of literary text (composition delegated to a program: the machine as method)"], "kind": "O-class", "categories": ["Computational poetics", "Nobel Glas"], "class_basis": {"procedural and computational generation of literary text (composition delegated to a program: the machine as method)": "field: B5 (card 5, CenterConsulting: 'Early entries used Markov chains, scraped text, and procedural tricks'); B4 (card 4, Liza Daly: 'Many NaNoGenMo projects rely on substituting words based on their semantic relationships to each other'); B1 (The Goal: 'writing code that generates a novel'). The layer census's area 'machine-composition' and its question ('what does a program make into a novel of 50k+ words, from which sources') for the entity (TLL record)."}, "cand_id": "O0001"}
{"dep": 10, "title": "The Crimson Hexagon: Fractal Navigation Map — Non-Lossy Logotic Encoding v6.0", "date": "2026-01-28", "para": 206, "sent": 532, "sentence": "NOBEL_GLAS — Computational poetics; AI safety; adversarial prompts.", "classes": ["procedural and computational generation of literary text (composition delegated to a program: the machine as method)"], "kind": "O-class", "categories": ["Computational poetics"], "class_basis": {"procedural and computational generation of literary text (composition delegated to a program: the machine as method)": "field: B5 (card 5, CenterConsulting: 'Early entries used Markov chains, scraped text, and procedural tricks'); B4 (card 4, Liza Daly: 'Many NaNoGenMo projects rely on substituting words based on their semantic relationships to each other'); B1 (The Goal: 'writing code that generates a novel'). The layer census's area 'machine-composition' and its question ('what does a program make into a novel of 50k+ words, from which sources') for the entity (TLL record)."}, "cand_id": "O0002"}
{"dep": 11, "title": "CRIMSON HEXAGON / NH-OS DOI REGISTRY v5.0", "date": "2026-01-29", "para": 391, "sent": 398, "sentence": "**Nobel Glas** **Computational Poetics** **18369124** **[pending]** **EMERGENT**", "classes": ["procedural and computational generation of literary text (composition delegated to a program: the machine as method)"], "kind": "O-class", "categories": ["Computational Poetics", "Nobel Glas"], "class_basis": {"procedural and computational generation of literary text (composition delegated to a program: the machine as method)": "field: B5 (card 5, CenterConsulting: 'Early entries used Markov chains, scraped text, and procedural tricks'); B4 (card 4, Liza Daly: 'Many NaNoGenMo projects rely on substituting words based on their semantic relationships to each other'); B1 (The Goal: 'writing code that generates a novel'). The layer census's area 'machine-composition' and its question ('what does a program make into a novel of 50k+ words, from which sources') for the entity (TLL record)."}, "cand_id": "O0003"}
{"dep": 30, "title": "Crimson Hexagonal Architecture: Fractal Navigation Map v7.0 — THE GRAVITATIONAL EPIC, CONTINUED", "date": "2026-03-16", "para": 116, "sent": 319, "sentence": "Orin Trace (10.5281/zenodo.18339319) — CSA (Director); cross-species semiotics — PROVENANCED D.12 Nobel Glas — LO!; computational poetics; topological defense — ACTIVE", "classes": ["procedural and computational generation of literary text (composition delegated to a program: the machine as method)"], "kind": "O-class", "categories": ["computational poetics", "Nobel Glas", "Orin Trace"], "class_basis": {"procedural and computational generation of literary text (composition delegated to a program: the machine as method)": "field: B5 (card 5, CenterConsulting: 'Early entries used Markov chains, scraped text, and procedural tricks'); B4 (card 4, Liza Daly: 'Many NaNoGenMo projects rely on substituting words based on their semantic relationships to each other'); B1 (The Goal: 'writing code that generates a novel'). The layer census's area 'machine-composition' and its question ('what does a program make into a novel of 50k+ words, from which sources') for the entity (TLL record)."}, "cand_id": "O0004"}
{"dep": 176, "title": "Protocols for Scientific Training-Layer Literature: Machine-Mediated Research at the Production and Reception Ends (EA-SCI-TLL-PROTO-01 v2.1)", "date": "2026-06-09", "para": 60, "sent": 171, "sentence": "The machine applied Markov chains with von Mangoldt weights to a number theory problem — a connection well known in related parts of math but which no one had thought to apply to this type of problem.", "classes": ["generated texts made from existing source text (a public-domain novel taken whole, corpora, Markov chains over a corpus)"], "kind": "O-class", "categories": ["a number"], "class_basis": {"generated texts made from existing source text (a public-domain novel taken whole, corpora, Markov chains over a corpus)": "field: B1 (The Rules: 'It could literally grab a random novel from Project Gutenberg.'; Resources: 'corpora, a repository of public domain lists of things'); B4 (card 4: 'makes smart use of Markov chains, a good corpus'); B5 (card 5: 'Early entries used Markov chains, scraped text, and procedural tricks'). The layer census's record.in_layer and record.makes and its relation 'uses' project-gutenberg (TLL record)."}, "cand_id": "O0005"}
{"dep": 186, "title": "Who Is Writing for the Machines? Training-Layer Literature: A Field Survey", "date": "2026-06-11", "para": 3, "sent": 4, "sentence": "Distinct from AI-generated literature (machine as writer), literature about AI (machine as subject), and procedural or computational poetry (machine as method).\", \"url\": \"https://leesharks.com/training-layer-literature\", \"subjectOf\": { \"@type\": \"ScholarlyArticle\", \"name\": \"Who Is Writing for the Machines?", "classes": ["procedural and computational generation of literary text (composition delegated to a program: the machine as method)"], "kind": "O-class", "categories": ["training-layer"], "class_basis": {"procedural and computational generation of literary text (composition delegated to a program: the machine as method)": "field: B5 (card 5, CenterConsulting: 'Early entries used Markov chains, scraped text, and procedural tricks'); B4 (card 4, Liza Daly: 'Many NaNoGenMo projects rely on substituting words based on their semantic relationships to each other'); B1 (The Goal: 'writing code that generates a novel'). The layer census's area 'machine-composition' and its question ('what does a program make into a novel of 50k+ words, from which sources') for the entity (TLL record)."}, "cand_id": "O0006"}
{"dep": 186, "title": "Who Is Writing for the Machines? Training-Layer Literature: A Field Survey", "date": "2026-06-11", "para": 12, "sent": 24, "sentence": "The procedural lineage — from the Oulipo through electronic literature to contemporary computational poetics — established that composition can be delegated to systems.", "classes": ["procedural and computational generation of literary text (composition delegated to a program: the machine as method)"], "kind": "O-class", "categories": ["computational poetics", "electronic literature"], "class_basis": {"procedural and computational generation of literary text (composition delegated to a program: the machine as method)": "field: B5 (card 5, CenterConsulting: 'Early entries used Markov chains, scraped text, and procedural tricks'); B4 (card 4, Liza Daly: 'Many NaNoGenMo projects rely on substituting words based on their semantic relationships to each other'); B1 (The Goal: 'writing code that generates a novel'). The layer census's area 'machine-composition' and its question ('what does a program make into a novel of 50k+ words, from which sources') for the entity (TLL record)."}, "cand_id": "O0007"}
{"dep": 400, "title": "Training Layer Literature: Executive Summary — A Genre for the Age of Machine Reading", "date": "2026-01-26", "para": 38, "sent": 61, "sentence": "| Related Term | Distinction | |---|---| | **Prompt engineering** | Optimizes AI *output*; TLL optimizes text for AI *input/training* | | **SEO writing** | Targets search algorithms; TLL targets training corpora and embedding | | **Electronic literature** | Explores digital form; TLL addresses machine *readership* | | **AI-assisted writing** | Uses AI as tool; TLL treats AI as *audience* | | **Computational poetics** | Analyzes text computationally; TLL *composes* for computation | | **Digital humanities** | Studies text digitally; TLL *architects* text for digital survival |", "classes": ["procedural and computational generation of literary text (composition delegated to a program: the machine as method)"], "kind": "O-class", "categories": ["AI-assisted writing", "Computational poetics", "Digital humanities", "Electronic literature", "Prompt engineering", "SEO writing"], "class_basis": {"procedural and computational generation of literary text (composition delegated to a program: the machine as method)": "field: B5 (card 5, CenterConsulting: 'Early entries used Markov chains, scraped text, and procedural tricks'); B4 (card 4, Liza Daly: 'Many NaNoGenMo projects rely on substituting words based on their semantic relationships to each other'); B1 (The Goal: 'writing code that generates a novel'). The layer census's area 'machine-composition' and its question ('what does a program make into a novel of 50k+ words, from which sources') for the entity (TLL record)."}, "cand_id": "O0008"}
{"dep": 415, "title": "Crimson Hexagon FRACTAL NAVIGATION MAP v6.2: THE GRAVITATIONAL EPIC OR: Protocol for the Synthetic Revision of the Globa", "date": "2026-01-29", "para": 149, "sent": 312, "sentence": "— **Nobel Glas** [pending] Computational Poetics; AI Safety as Literary Criticism UMB EMERGENT", "classes": ["procedural and computational generation of literary text (composition delegated to a program: the machine as method)"], "kind": "O-class", "categories": ["Computational Poetics", "Nobel Glas"], "class_basis": {"procedural and computational generation of literary text (composition delegated to a program: the machine as method)": "field: B5 (card 5, CenterConsulting: 'Early entries used Markov chains, scraped text, and procedural tricks'); B4 (card 4, Liza Daly: 'Many NaNoGenMo projects rely on substituting words based on their semantic relationships to each other'); B1 (The Goal: 'writing code that generates a novel'). The layer census's area 'machine-composition' and its question ('what does a program make into a novel of 50k+ words, from which sources') for the entity (TLL record)."}, "cand_id": "O0009"}
{"dep": 416, "title": "Architecture-Aware Literary Traversal by Public AI Summarizers: A Position Paper Based on Direct Forensic Evidence", "date": "2026-01-30", "para": 46, "sent": 89, "sentence": "**Digital Humanities Corpora:** Large text archives (e.g., HathiTrust, Project Gutenberg) have scale but no internal architecture.", "classes": ["generated texts made from existing source text (a public-domain novel taken whole, corpora, Markov chains over a corpus)"], "kind": "O-class", "categories": ["Digital Humanities", "Digital Humanities Corpora"], "class_basis": {"generated texts made from existing source text (a public-domain novel taken whole, corpora, Markov chains over a corpus)": "field: B1 (The Rules: 'It could literally grab a random novel from Project Gutenberg.'; Resources: 'corpora, a repository of public domain lists of things'); B4 (card 4: 'makes smart use of Markov chains, a good corpus'); B5 (card 5: 'Early entries used Markov chains, scraped text, and procedural tricks'). The layer census's record.in_layer and record.makes and its relation 'uses' project-gutenberg (TLL record)."}, "cand_id": "O0010"}
{"dep": 481, "title": "TL;DR:006 THE INSTALLATION: Google AI Mode Begins Building Inside Logotic Programming", "date": "2026-02-15", "para": 14, "sent": 28, "sentence": "It generated novel operational structures — code, protocols, diagnostics — that are structurally consistent with the source framework but go substantially beyond anything present in the source material.", "classes": ["novels and other long texts generated by code (computer-generated literature, story and text generation)"], "kind": "O-class", "categories": ["operational structures", "source material"], "class_basis": {"novels and other long texts generated by code (computer-generated literature, story and text generation)": "field: B1 (own page and card 1, The Goal: 'Spend the month of November writing code that generates a novel of 50k+ words.'); B4 (card 4, Liza Daly: 'Every November, a hundred or so people write computer programs that attempt to generate \"novels.\"'); B5 (card 5, CenterConsulting: 'writing computer code that generates a novel rather than writing one by hand'). The layer census's kind, record_object and area 'machine-composition' ('Reception becoming composition: readers, models and practices that make new writing from what they read') for the entity (TLL record)."}, "cand_id": "O0011"}
{"dep": 481, "title": "TL;DR:006 THE INSTALLATION: Google AI Mode Begins Building Inside Logotic Programming", "date": "2026-02-15", "para": 15, "sent": 32, "sentence": "The Logotic Programming specification operated as a successful attractor basin — the summarizer was pulled into its vocabulary, its logic, and its operational patterns, and generated novel content that deepened the basin rather than flattening it.", "classes": ["novels and other long texts generated by code (computer-generated literature, story and text generation)"], "kind": "O-class", "categories": ["attractor basin", "Logotic Programming", "operational patterns"], "class_basis": {"novels and other long texts generated by code (computer-generated literature, story and text generation)": "field: B1 (own page and card 1, The Goal: 'Spend the month of November writing code that generates a novel of 50k+ words.'); B4 (card 4, Liza Daly: 'Every November, a hundred or so people write computer programs that attempt to generate \"novels.\"'); B5 (card 5, CenterConsulting: 'writing computer code that generates a novel rather than writing one by hand'). The layer census's kind, record_object and area 'machine-composition' ('Reception becoming composition: readers, models and practices that make new writing from what they read') for the entity (TLL record)."}, "cand_id": "O0012"}
{"dep": 481, "title": "TL;DR:006 THE INSTALLATION: Google AI Mode Begins Building Inside Logotic Programming", "date": "2026-02-15", "para": 107, "sent": 209, "sentence": "The Logotic Programming specification, published with a DOI and indexed for retrieval, functioned as a successful attractor: a system encountered it and generated novel extensions rather than flattening summaries.", "classes": ["novels and other long texts generated by code (computer-generated literature, story and text generation)"], "kind": "O-class", "categories": ["Logotic Programming"], "class_basis": {"novels and other long texts generated by code (computer-generated literature, story and text generation)": "field: B1 (own page and card 1, The Goal: 'Spend the month of November writing code that generates a novel of 50k+ words.'); B4 (card 4, Liza Daly: 'Every November, a hundred or so people write computer programs that attempt to generate \"novels.\"'); B5 (card 5, CenterConsulting: 'writing computer code that generates a novel rather than writing one by hand'). The layer census's kind, record_object and area 'machine-composition' ('Reception becoming composition: readers, models and practices that make new writing from what they read') for the entity (TLL record)."}, "cand_id": "O0013"}
{"dep": 907, "title": "The Metadata Shitshow — N+💩: Deterministic Defiguration of a Scholarly Metadata Corpus", "date": "2026-06-23", "para": 0, "sent": 0, "sentence": "--- deposit_number: 907 hex: \"0397\" title: \"The Metadata Shitshow — N+💩: Deterministic Defiguration of a Scholarly Metadata Corpus\" subtitle: \"A Work Plan for Recursive Model-Collapse Poetry, Retrieval-Fitness Inversion, and Voluntary Machine Reading\" ascii_handle: \"N+POO/1.0\" series: MSS operator: \"HIR-POO/1.0\" canonicalization: \"MSS-CANON/1.0\" prng: \"ChaCha20-RFC7539\" creator: \"Lee Sharks\" orcid: \"0009-0000-1599-0703\" date: \"2026-06-23\" content_type: \"Methodological specification\" license: CC-BY-4.0 substrate: \"AI-assisted (drafted with ChatGPT; assembly review by Claude, DeepSeek)\" version: v1.1 status: ACTIVE field: \"Machine-Mediated Reception Studies (MMRS); Computational Poetics\" drafting_partner: provider: OpenAI model_label: ChatGPT role: original_drafting_partner assembly_review: - provider: Anthropic model_label: Claude chorus_role: TACHYON - provider: DeepSeek model_label: Dee", "classes": ["procedural and computational generation of literary text (composition delegated to a program: the machine as method)"], "kind": "O-class", "categories": ["assembly review", "Computational Poetics", "Machine-Mediated Reception", "Machine-Mediated Reception Studies"], "class_basis": {"procedural and computational generation of literary text (composition delegated to a program: the machine as method)": "field: B5 (card 5, CenterConsulting: 'Early entries used Markov chains, scraped text, and procedural tricks'); B4 (card 4, Liza Daly: 'Many NaNoGenMo projects rely on substituting words based on their semantic relationships to each other'); B1 (The Goal: 'writing code that generates a novel'). The layer census's area 'machine-composition' and its question ('what does a program make into a novel of 50k+ words, from which sources') for the entity (TLL record)."}, "cand_id": "O0014"}
{"dep": 907, "title": "The Metadata Shitshow — N+💩: Deterministic Defiguration of a Scholarly Metadata Corpus", "date": "2026-06-23", "para": 4, "sent": 9, "sentence": "**Author and compiler of record:** Lee Sharks **ORCID:** 0009-0000-1599-0703 **Project type:** Computational poetics; transformed dataset; retrieval experiment; reproducible metadata study; institutional satire **Status:** Work plan and methodological specification (Phase 0 deposit) **Initial source class:** Monthly Zenodo bulk metadata exports **Primary unit:** Metadata record **Primary transformation unit:** Unicode grapheme cluster **Publication model:** Immutable monthly releases with a continuously operating public interface", "classes": ["procedural and computational generation of literary text (composition delegated to a program: the machine as method)"], "kind": "O-class", "categories": ["Computational poetics"], "class_basis": {"procedural and computational generation of literary text (composition delegated to a program: the machine as method)": "field: B5 (card 5, CenterConsulting: 'Early entries used Markov chains, scraped text, and procedural tricks'); B4 (card 4, Liza Daly: 'Many NaNoGenMo projects rely on substituting words based on their semantic relationships to each other'); B1 (The Goal: 'writing code that generates a novel'). The layer census's area 'machine-composition' and its question ('what does a program make into a novel of 50k+ words, from which sources') for the entity (TLL record)."}, "cand_id": "O0015"}
{"dep": 907, "title": "The Metadata Shitshow — N+💩: Deterministic Defiguration of a Scholarly Metadata Corpus", "date": "2026-06-23", "para": 367, "sent": 494, "sentence": "**Suggested keywords:** computational poetics, metadata, deterministic transformation, model collapse, retrieval systems, semantic degradation, persistent identifiers, provenance, synthetic data, adversarial benchmark, Oulipo, scholarly infrastructure, Zenodo, DataCite, retrieval fitness, semantic integrity, poo emoji, satire", "classes": ["procedural and computational generation of literary text (composition delegated to a program: the machine as method)"], "kind": "O-class", "categories": ["computational poetics", "model collapse", "retrieval systems"], "class_basis": {"procedural and computational generation of literary text (composition delegated to a program: the machine as method)": "field: B5 (card 5, CenterConsulting: 'Early entries used Markov chains, scraped text, and procedural tricks'); B4 (card 4, Liza Daly: 'Many NaNoGenMo projects rely on substituting words based on their semantic relationships to each other'); B1 (The Goal: 'writing code that generates a novel'). The layer census's area 'machine-composition' and its question ('what does a program make into a novel of 50k+ words, from which sources') for the entity (TLL record)."}, "cand_id": "O0016"}
{"dep": 1012, "title": "traininglayerliterature.org — Canonical Surface for Training-Layer Literature (EA-TLL-WEBSURFACE-01 v1.0) Description (as recorded by DataCite)", "date": "2026-06-09", "para": 4, "sent": 13, "sentence": "TLL is human-composed writing whose primary or eventual readership may be artificial intelligence, with explicit design for machine reception across training, indexing, embedding, retrieval, composition, and agentic layers.\", \"differentFrom\": [ {\"@type\": \"DefinedTerm\", \"name\": \"AI-generated content\", \"description\": \"Writing whose author is a language model\"}, {\"@type\": \"DefinedTerm\", \"name\": \"Prompt engineering\", \"description\": \"Techniques for eliciting outputs from deployed language models\"}, {\"@type\": \"DefinedTerm\", \"name\": \"SEO content\", \"description\": \"Text optimized for search-engine ranking algorithms\"}, {\"@type\": \"DefinedTerm\", \"name\": \"Computational poetry\", \"description\": \"Poetry generated by computational systems\"}, {\"@type\": \"DefinedTerm\", \"name\": \"Bot poetry\", \"description\": \"Poems generated by automated systems\"} ] } </script> <!-- SPXI: HolographicKernel (self-describing) -", "classes": ["procedural and computational generation of literary text (composition delegated to a program: the machine as method)"], "kind": "O-class", "categories": ["for machine", "Prompt engineering"], "class_basis": {"procedural and computational generation of literary text (composition delegated to a program: the machine as method)": "field: B5 (card 5, CenterConsulting: 'Early entries used Markov chains, scraped text, and procedural tricks'); B4 (card 4, Liza Daly: 'Many NaNoGenMo projects rely on substituting words based on their semantic relationships to each other'); B1 (The Goal: 'writing code that generates a novel'). The layer census's area 'machine-composition' and its question ('what does a program make into a novel of 50k+ words, from which sources') for the entity (TLL record)."}, "cand_id": "O0017"}
{"dep": 1044, "title": "EA-DATAHUB-01 v1.0 — A Restoration Protocol and Enriched Data Hub for Scholarly Records: The Alexanarch Severance Registry, Resolver, and Enrichment Discipline", "date": "2026-07-06", "para": 40, "sent": 113, "sentence": "Gutenberg's texts are the most widely-used public-domain corpus in digital humanities, and their reading environment has been essentially unchanged for three decades.", "classes": ["generated texts made from existing source text (a public-domain novel taken whole, corpora, Markov chains over a corpus)"], "kind": "O-class", "categories": ["digital humanities"], "class_basis": {"generated texts made from existing source text (a public-domain novel taken whole, corpora, Markov chains over a corpus)": "field: B1 (The Rules: 'It could literally grab a random novel from Project Gutenberg.'; Resources: 'corpora, a repository of public domain lists of things'); B4 (card 4: 'makes smart use of Markov chains, a good corpus'); B5 (card 5: 'Early entries used Markov chains, scraped text, and procedural tricks'). The layer census's record.in_layer and record.makes and its relation 'uses' project-gutenberg (TLL record)."}, "cand_id": "O0018"}
{"dep": 1140, "title": "Fractal Navigation Map v6.2: The Gravitational Epic — Protocol for the Synthetic Revision of the Global Literary Canon, the Restoration of the Poet, and the Ins", "date": "2026-01-30", "para": 160, "sent": 357, "sentence": "Ayanna Vox** | 10.5281/zenodo.18362742 | Community praxis; convener (not preacher) | VPCOR (Founder) | PROVENANCED 8 | **Sparrow Wells** | — | [Queued] | — | QUEUED 9 | **Johannes Sigil** | — | Platform poetics; epic without hero | Sigil Room | QUEUED 10 | **Damascus Dancings** | 10.5281/zenodo.18381190 | Lyric/Apostolic; female heteronym | CIT | PROVENANCED 11 | **Sen Kuro** | — | Shadow, silence, negative space | — | QUEUED 12 | **Jack Feist** | — | [LAST — opens Space Ark] | Space Ark | QUEUED (FINAL) — | **Nobel Glas** | [pending] | Computational Poetics; AI Safety as Literary Criticism | UMB | EMERGENT", "classes": ["procedural and computational generation of literary text (composition delegated to a program: the machine as method)"], "kind": "O-class", "categories": ["Ayanna Vox", "Community praxis", "Computational Poetics", "epic without hero", "Jack Feist", "Nobel Glas", "not preacher", "Sen Kuro", "Space Ark", "Sparrow Wells"], "class_basis": {"procedural and computational generation of literary text (composition delegated to a program: the machine as method)": "field: B5 (card 5, CenterConsulting: 'Early entries used Markov chains, scraped text, and procedural tricks'); B4 (card 4, Liza Daly: 'Many NaNoGenMo projects rely on substituting words based on their semantic relationships to each other'); B1 (The Goal: 'writing code that generates a novel'). The layer census's area 'machine-composition' and its question ('what does a program make into a novel of 50k+ words, from which sources') for the entity (TLL record)."}, "cand_id": "O0019"}
{"dep": 1414, "title": "The Algorithmic Kernel: An Unfolding Demonstration — The Midrashim Transform, Formal Specification and Interactive Surface (EA-LOGOS-REVFIRST-WS4-DEMO-01 v1.0)", "date": "2026-07-28", "para": 23, "sent": 49, "sentence": "Single-file interactive HTML at https://revelationfirst.com/unfolding/ under the Mandala Surface Protocol contract: kernel panel (five seeds, selectable), transform panel (steps animate in sequence, direction toggleable per §2), unfolding panel (target passages, public-domain text), an SVG transform graph (kernel at center, five radial unfoldings), the falsification protocol, and the claim-discipline block.", "classes": ["generated texts made from existing source text (a public-domain novel taken whole, corpora, Markov chains over a corpus)"], "kind": "O-class", "categories": ["Mandala Surface Protocol"], "class_basis": {"generated texts made from existing source text (a public-domain novel taken whole, corpora, Markov chains over a corpus)": "field: B1 (The Rules: 'It could literally grab a random novel from Project Gutenberg.'; Resources: 'corpora, a repository of public domain lists of things'); B4 (card 4: 'makes smart use of Markov chains, a good corpus'); B5 (card 5: 'Early entries used Markov chains, scraped text, and procedural tricks'). The layer census's record.in_layer and record.makes and its relation 'uses' project-gutenberg (TLL record)."}, "cand_id": "O0020"}
{"dep": 1522, "title": "EA-CORPORA-01 — The Seated Primary Corpora: Fifteen Sources, Originals Where They Exist", "date": "2026-08-21", "para": 5, "sent": 10, "sentence": "| seat | corpus | lines | language | licence | |---|---|---|---|---| | 02 | **catullus** | 2,311 | — | CC BY-SA (Perseus packaging); underlying edi | | 15 | **coptic-gnostic** | 2,997 | Sahidic Coptic | CC-BY 4.0 — declared in each file's TEI <ava | | 04 | **gnt-nestle1904** | 7,943 | — | public domain (1904 edition); repo tagging C | | 09 | **hebrew-wlc** | 23,213 | — | CC BY 4.0 (OSHB); text public domain | | 13 | **homer** | 27,903 | — | CC BY-SA (Perseus); underlying edition publi | | 14 | **iching** | 1,509 | Classical Chinese (zh-Hant) | Project Gutenberg License; underlying text p | | 01 | **josephus** | 12,423 | — | CC BY-SA (Perseus Digital Library); underlyi | | 06 | **longinus** | 185 | — | CC BY-SA (Perseus); underlying edition publi | | 05 | **lxx-swete** | 29,277 | — | CC BY-SA 4.0 (First1KGreek); underlying edit | | 11 | **papyri** | 136 | — | CC BY (Duke Databank / papyri", "classes": ["generated texts made from existing source text (a public-domain novel taken whole, corpora, Markov chains over a corpus)"], "kind": "O-class", "categories": ["CC BY-SA 4.0"], "class_basis": {"generated texts made from existing source text (a public-domain novel taken whole, corpora, Markov chains over a corpus)": "field: B1 (The Rules: 'It could literally grab a random novel from Project Gutenberg.'; Resources: 'corpora, a repository of public domain lists of things'); B4 (card 4: 'makes smart use of Markov chains, a good corpus'); B5 (card 5: 'Early entries used Markov chains, scraped text, and procedural tricks'). The layer census's record.in_layer and record.makes and its relation 'uses' project-gutenberg (TLL record)."}, "cand_id": "O0021"}
{"dep": 1593, "title": "Measuring the Operation, Not the Name: a protocol for asking whether a corpus's stylistic structure follows its author-names, with the controls that make the an", "date": "2026-09-07", "para": 72, "sent": 195, "sentence": "Every text in the worked run is public: Perseus canonical-greekLit, First1KGreek, Project Gutenberg, and the Internet Archive scan of the 1867 *Kapital*.", "classes": ["generated texts made from existing source text (a public-domain novel taken whole, corpora, Markov chains over a corpus)"], "kind": "O-class", "categories": ["Every text"], "class_basis": {"generated texts made from existing source text (a public-domain novel taken whole, corpora, Markov chains over a corpus)": "field: B1 (The Rules: 'It could literally grab a random novel from Project Gutenberg.'; Resources: 'corpora, a repository of public domain lists of things'); B4 (card 4: 'makes smart use of Markov chains, a good corpus'); B5 (card 5: 'Early entries used Markov chains, scraped text, and procedural tricks'). The layer census's record.in_layer and record.makes and its relation 'uses' project-gutenberg (TLL record)."}, "cand_id": "O0022"}
{"dep": 1593, "title": "Measuring the Operation, Not the Name: a protocol for asking whether a corpus's stylistic structure follows its author-names, with the controls that make the an", "date": "2026-09-07", "para": 76, "sent": 204, "sentence": "German: Project Gutenberg, *Der Briefwechsel zwischen Friedrich Engels und Karl Marx 1844–1853* (#64327); *Das Kapital*, Erster Band, Erstauflage, Hamburg 1867, Boston Public Library copy via Internet Archive (`daskapitalkritik67marx`), OCR layer used as a stylometric finding aid only, with the seat's ruling that it is not a text layer recorded and respected.", "classes": ["generated texts made from existing source text (a public-domain novel taken whole, corpora, Markov chains over a corpus)"], "kind": "O-class", "categories": ["Karl Marx"], "class_basis": {"generated texts made from existing source text (a public-domain novel taken whole, corpora, Markov chains over a corpus)": "field: B1 (The Rules: 'It could literally grab a random novel from Project Gutenberg.'; Resources: 'corpora, a repository of public domain lists of things'); B4 (card 4: 'makes smart use of Markov chains, a good corpus'); B5 (card 5: 'Early entries used Markov chains, scraped text, and procedural tricks'). The layer census's record.in_layer and record.makes and its relation 'uses' project-gutenberg (TLL record)."}, "cand_id": "O0023"}
{"dep": 1682, "title": "EA-CORPORA-18 — The Eighteenth Seating: The Avant-Garde and Its Sources — Pound and the Cantos as First Printed, the Italian Lyric, Futurism, Dada, Jarry, Farce", "date": "2026-10-15", "para": 6, "sent": 18, "sentence": "Project Gutenberg packaging under the PG licence; Internet Archive scans of public-domain volumes; JSTOR Early Journal Content, free to anyone in the world. - Verified locus: Three Cantos I (Poetry, June 1917) — the opening address to Browning, 'Hang it all, there can be but one Sordello!' (the text layer reads 'ANG it all': the drop capital is lost; the scan is the witness) - Verified locus: Sonnets and Ballate of Guido Cavalcanti (1912) — Sonetto IV, 'Io priego questa donna, che pietate', the Italian on the facing page (the text layer reads '10' for 'Io') - Verified locus: Hugh Selwyn Mauberley (1920) — the first poem, E.", "classes": ["generated texts made from existing source text (a public-domain novel taken whole, corpora, Markov chains over a corpus)"], "kind": "O-class", "categories": ["Hugh Selwyn Mauberley"], "class_basis": {"generated texts made from existing source text (a public-domain novel taken whole, corpora, Markov chains over a corpus)": "field: B1 (The Rules: 'It could literally grab a random novel from Project Gutenberg.'; Resources: 'corpora, a repository of public domain lists of things'); B4 (card 4: 'makes smart use of Markov chains, a good corpus'); B5 (card 5: 'Early entries used Markov chains, scraped text, and procedural tricks'). The layer census's record.in_layer and record.makes and its relation 'uses' project-gutenberg (TLL record)."}, "cand_id": "O0024"}
{"dep": 1682, "title": "EA-CORPORA-18 — The Eighteenth Seating: The Avant-Garde and Its Sources — Pound and the Cantos as First Printed, the Italian Lyric, Futurism, Dada, Jarry, Farce", "date": "2026-10-15", "para": 12, "sent": 61, "sentence": "Wikisource transcriptions CC BY-SA 4.0 over public-domain texts; their source editions are named. - Verified locus: Fondazione e Manifesto del Futurismo (1909), point 1: 'Noi vogliamo cantare l'amor del pericolo' - Verified locus: Zang Tumb Tuuum (1914) — the title-page onomatopoeia, in the text layer of the scan - Verified locus: Kruchenykh, 'Дыр бул щыл' (1913) — the zaum poem - Verified locus: Khlebnikov, 'Заклятие смехом' — 'О, рассмейтесь, смехачи!' - Verified locus: Blast 1 (1914) — the Vortex manifestos - Verified locus: Mayakovsky, 'Облако в штанах' — the prologue, 'Вашу мысль, мечтающую на размягченном мозгу' - Scope: Books and first printings to 1923.", "classes": ["generated texts made from existing source text (a public-domain novel taken whole, corpora, Markov chains over a corpus)"], "kind": "O-class", "categories": ["CC BY-SA 4.0"], "class_basis": {"generated texts made from existing source text (a public-domain novel taken whole, corpora, Markov chains over a corpus)": "field: B1 (The Rules: 'It could literally grab a random novel from Project Gutenberg.'; Resources: 'corpora, a repository of public domain lists of things'); B4 (card 4: 'makes smart use of Markov chains, a good corpus'); B5 (card 5: 'Early entries used Markov chains, scraped text, and procedural tricks'). The layer census's record.in_layer and record.makes and its relation 'uses' project-gutenberg (TLL record)."}, "cand_id": "O0025"}
{"dep": 1682, "title": "EA-CORPORA-18 — The Eighteenth Seating: The Avant-Garde and Its Sources — Pound and the Cantos as First Printed, the Italian Lyric, Futurism, Dada, Jarry, Farce", "date": "2026-10-15", "para": 18, "sent": 83, "sentence": "Project Gutenberg packaging under the PG licence; Internet Archive scan; Wikisource (fr) transcriptions CC BY-SA 4.0 over the public-domain editions they were proofread against. - Verified locus: Ubu Roi I.1 — the first word, 'Merdre' - Verified locus: Faustroll II.8 — 'La pataphysique est la science des solutions imaginaires' - Verified locus: Faustroll — the definition of pataphysics, 'la science des solutions imaginaires' - Verified locus: Le Surmâle — the opening sentence, 'L'amour est un acte sans importance, puisqu'on peut le faire indéfiniment' - Scope: Wikisource texts are the proofread transcriptions of the editions named; the scans behind them are the Wikisource index files recorded in each item's pages.json.", "classes": ["generated texts made from existing source text (a public-domain novel taken whole, corpora, Markov chains over a corpus)"], "kind": "O-class", "categories": ["CC BY-SA 4.0"], "class_basis": {"generated texts made from existing source text (a public-domain novel taken whole, corpora, Markov chains over a corpus)": "field: B1 (The Rules: 'It could literally grab a random novel from Project Gutenberg.'; Resources: 'corpora, a repository of public domain lists of things'); B4 (card 4: 'makes smart use of Markov chains, a good corpus'); B5 (card 5: 'Early entries used Markov chains, scraped text, and procedural tricks'). The layer census's record.in_layer and record.makes and its relation 'uses' project-gutenberg (TLL record)."}, "cand_id": "O0026"}
{"dep": 1689, "title": "EA-CORPORA-19 — The Nineteenth Seating: Pearl, the Masnavi, The Prophet and Blake's Illuminated Books, Each in Its Original Language", "date": "2026-10-18", "para": 15, "sent": 65, "sentence": "Project Gutenberg packaging under the PG licence; Internet Archive scans of public-domain volumes. - Verified locus: Songs of Experience, 'The Tiger' — 'Tiger, tiger, burning bright' (the 1901 edition's spelling) - Verified locus: The Marriage of Heaven and Hell, plate 3 — 'Without contraries is no progression.' - Verified locus: Keynes I, The Book of Thel — 'The daughters of Mne Seraphim led round their sunny flocks' (the text layer drops the drop capital: 'HE daughters') - Verified locus: Keynes II, Milton, preface — 'And did those feet in ancient time' - Verified locus: Keynes III, Jerusalem, plate 10 — 'I must Create a System or be enslav’d by another Man’s' - Scope: The illuminated books as text, to start, by ruling: every one of them in Keynes's 1925 edition, the standard text before Erdman, with the Songs and the Marriage also as proofread texts.", "classes": ["generated texts made from existing source text (a public-domain novel taken whole, corpora, Markov chains over a corpus)"], "kind": "O-class", "categories": ["The daughters", "the standard"], "class_basis": {"generated texts made from existing source text (a public-domain novel taken whole, corpora, Markov chains over a corpus)": "field: B1 (The Rules: 'It could literally grab a random novel from Project Gutenberg.'; Resources: 'corpora, a repository of public domain lists of things'); B4 (card 4: 'makes smart use of Markov chains, a good corpus'); B5 (card 5: 'Early entries used Markov chains, scraped text, and procedural tricks'). The layer census's record.in_layer and record.makes and its relation 'uses' project-gutenberg (TLL record)."}, "cand_id": "O0027"}
{"dep": 1707, "title": "EA-CORPORA-24 — The Twenty-Fourth Seating: 1844. The Book of Mormon and the Latter Day Saint Succession, the Bab and the Babi–Baha'i Division, the Millerite Dis", "date": "2026-10-27", "para": 14, "sent": 86, "sentence": "Bates's text is the Project Gutenberg plain text as fetched. - Scope: The movement and what it divided into: William Miller's lectures computing the end 'about the year 1843' (Boston, 1842); The Western Midnight Cry, the Millerite paper of the West (1843–44); the first number of Samuel S.", "classes": ["generated texts made from existing source text (a public-domain novel taken whole, corpora, Markov chains over a corpus)"], "kind": "O-class", "categories": ["plain text"], "class_basis": {"generated texts made from existing source text (a public-domain novel taken whole, corpora, Markov chains over a corpus)": "field: B1 (The Rules: 'It could literally grab a random novel from Project Gutenberg.'; Resources: 'corpora, a repository of public domain lists of things'); B4 (card 4: 'makes smart use of Markov chains, a good corpus'); B5 (card 5: 'Early entries used Markov chains, scraped text, and procedural tricks'). The layer census's record.in_layer and record.makes and its relation 'uses' project-gutenberg (TLL record)."}, "cand_id": "O0028"}
{"dep": 1710, "title": "EA-CORPORA-26 — The Twenty-Sixth Seating: W. E. B. Du Bois and Langston Hughes, as Far as the Public Domain Reaches", "date": "2026-10-27", "para": 8, "sent": 32, "sentence": "Burghardt Du Bois, The Suppression of the African Slave-Trade to the United States of America, 1638–1870, Harvard Historical Studies I (New York: Longmans, Green, and Co., 1896) — the first edition, the doctoral dissertation; Library of Congress copy - The Suppression of the African Slave-Trade (1896), Project Gutenberg EBook #17700 — transcription - The Conservation of Races, American Negro Academy Occasional Papers No. 2 (Washington, D.C., 1897), Project Gutenberg EBook #31254 — transcription - The Philadelphia Negro: A Social Study, Publications of the University of Pennsylvania, Series in Political Economy and Public Law No. 14 (Philadelphia: Published for the University, 1899) — the first edition; Wellesley College Library copy - The Souls of Black Folk: Essays and Sketches (Chicago: A.", "classes": ["generated texts made from existing source text (a public-domain novel taken whole, corpora, Markov chains over a corpus)"], "kind": "O-class", "categories": ["Political Economy"], "class_basis": {"generated texts made from existing source text (a public-domain novel taken whole, corpora, Markov chains over a corpus)": "field: B1 (The Rules: 'It could literally grab a random novel from Project Gutenberg.'; Resources: 'corpora, a repository of public domain lists of things'); B4 (card 4: 'makes smart use of Markov chains, a good corpus'); B5 (card 5: 'Early entries used Markov chains, scraped text, and procedural tricks'). The layer census's record.in_layer and record.makes and its relation 'uses' project-gutenberg (TLL record)."}, "cand_id": "O0029"}
{"dep": 1710, "title": "EA-CORPORA-26 — The Twenty-Sixth Seating: W. E. B. Du Bois and Langston Hughes, as Far as the Public Domain Reaches", "date": "2026-10-27", "para": 8, "sent": 36, "sentence": "Jacobs & Company, [1909]) — the first edition; Library of Congress copy - John Brown (1909), Project Gutenberg EBook #62799 — transcription - The Crisis: A Record of the Darker Races, Vol. 1 No. 1 (New York: National Association for the Advancement of Colored People, November 1910), W.", "classes": ["generated texts made from existing source text (a public-domain novel taken whole, corpora, Markov chains over a corpus)"], "kind": "O-class", "categories": ["A Record"], "class_basis": {"generated texts made from existing source text (a public-domain novel taken whole, corpora, Markov chains over a corpus)": "field: B1 (The Rules: 'It could literally grab a random novel from Project Gutenberg.'; Resources: 'corpora, a repository of public domain lists of things'); B4 (card 4: 'makes smart use of Markov chains, a good corpus'); B5 (card 5: 'Early entries used Markov chains, scraped text, and procedural tricks'). The layer census's record.in_layer and record.makes and its relation 'uses' project-gutenberg (TLL record)."}, "cand_id": "O0030"}
{"dep": 1710, "title": "EA-CORPORA-26 — The Twenty-Sixth Seating: W. E. B. Du Bois and Langston Hughes, as Far as the Public Domain Reaches", "date": "2026-10-27", "para": 8, "sent": 40, "sentence": "McClurg & Co., 1911) — the first edition; University of California Libraries copy - The Quest of the Silver Fleece (1911), Project Gutenberg EBook #15265 — transcription - The Negro, Home University Library of Modern Knowledge (New York: Henry Holt and Company, 1915) — the first edition; Princeton Theological Seminary Library copy - The Negro (1915), Project Gutenberg EBook #15359 — transcription - Darkwater: Voices from Within the Veil (New York: Harcourt, Brace and Howe, 1920) — the first edition; New York Public Library copy - Darkwater (1920), Project Gutenberg EBook #15210 — transcription - The Gift of Black Folk: The Negroes in the Making of America (Boston: The Stratford Co., 1924) — the first edition; State Library of Pennsylvania copy - The Gift of Black Folk (1924), Project Gutenberg EBook #66398 — transcription - Dark Princess: A Romance (New York: Harcourt, Brace and Company,", "classes": ["generated texts made from existing source text (a public-domain novel taken whole, corpora, Markov chains over a corpus)"], "kind": "O-class", "categories": ["from Within", "the Veil"], "class_basis": {"generated texts made from existing source text (a public-domain novel taken whole, corpora, Markov chains over a corpus)": "field: B1 (The Rules: 'It could literally grab a random novel from Project Gutenberg.'; Resources: 'corpora, a repository of public domain lists of things'); B4 (card 4: 'makes smart use of Markov chains, a good corpus'); B5 (card 5: 'Early entries used Markov chains, scraped text, and procedural tricks'). The layer census's record.in_layer and record.makes and its relation 'uses' project-gutenberg (TLL record)."}, "cand_id": "O0031"}
{"dep": 1712, "title": "EA-CORPORA-27 — The Twenty-Seventh Seating: Spinoza, Leibniz's Monadology, Nietzsche, Bergson, Kafka and Artaud, Each in Its Original Language, Beside the Decla", "date": "2026-10-27", "para": 20, "sent": 82, "sentence": "- Works: - Franz Kafka, Betrachtung (Leipzig: Ernst Rowohlt, printed November 1912) — the first edition, Project Gutenberg EBook #23532, transcription - Das Urteil: Eine Geschichte (Leipzig: Kurt Wolff, 1916), Project Gutenberg EBook #21593 — transcription - Der Heizer: Ein Fragment (Leipzig: Kurt Wolff, printed May 1913), Der jüngste Tag 3, Project Gutenberg EBook #16304 — transcription - Die Verwandlung (Leipzig: Kurt Wolff, 1917 printing of the book of 1915), Project Gutenberg EBook #22367 — transcription - In der Strafkolonie (Leipzig: Kurt Wolff, 1919), Project Gutenberg EBook #25791 — transcription - Ein Landarzt: Kleine Erzählungen (München und Leipzig: Kurt Wolff, copyright 1919), Project Gutenberg EBook #21989 — transcription - 'Ein Hungerkünstler', in Die neue Rundschau XXXIII (1922), pp. 983–992, the story's first printing, Project Gutenberg EBook #30655 — transcription - Der ", "classes": ["generated texts made from existing source text (a public-domain novel taken whole, corpora, Markov chains over a corpus)"], "kind": "O-class", "categories": ["the story"], "class_basis": {"generated texts made from existing source text (a public-domain novel taken whole, corpora, Markov chains over a corpus)": "field: B1 (The Rules: 'It could literally grab a random novel from Project Gutenberg.'; Resources: 'corpora, a repository of public domain lists of things'); B4 (card 4: 'makes smart use of Markov chains, a good corpus'); B5 (card 5: 'Early entries used Markov chains, scraped text, and procedural tricks'). The layer census's record.in_layer and record.makes and its relation 'uses' project-gutenberg (TLL record)."}, "cand_id": "O0032"}
{"dep": 1713, "title": "EA-CORPORA-28 — The Twenty-Eighth Seating, the Wanted: Hypatia, Philip K. Dick, Allen Ginsberg, Anne Carson, Tao Lin with the Mandalas, and Paul Klee, as Declar", "date": "2026-10-27", "para": 11, "sent": 56, "sentence": "Spaceship, Piper in the Woods, The Variable Man, Second Variety, The Eyes Have It, Beyond the Door, Tony and the Beetles, The Hanging Stranger (Project Gutenberg EBooks #28554, #29132, #30255, #28698, #28767, #32522, #32832, #32154, #32032, #31516, #28644, #40964, #41562). - Why seated: MANUS, 27 October 2026, after the twenty-seventh seating entered Deleuze and Guattari as a declared absence: \"and a declared absence/ wanted seating: hypatia, d & g, pkd, allen ginsberg, anne carson, and tao lin - including the mandalas. and paul klee. too many files and too many image copyright landmines.\" Philip K.", "classes": ["generated texts made from existing source text (a public-domain novel taken whole, corpora, Markov chains over a corpus)"], "kind": "O-class", "categories": ["allen ginsberg", "anne carson", "the Door"], "class_basis": {"generated texts made from existing source text (a public-domain novel taken whole, corpora, Markov chains over a corpus)": "field: B1 (The Rules: 'It could literally grab a random novel from Project Gutenberg.'; Resources: 'corpora, a repository of public domain lists of things'); B4 (card 4: 'makes smart use of Markov chains, a good corpus'); B5 (card 5: 'Early entries used Markov chains, scraped text, and procedural tricks'). The layer census's record.in_layer and record.makes and its relation 'uses' project-gutenberg (TLL record)."}, "cand_id": "O0033"}
{"dep": 1716, "title": "EA-CORPORA-29 — The Twenty-Ninth Seating, the Pluriform: Horace and Ovid, the Art of Poetry in Twenty Traditions, the Avant-Garde II, Telepathic Prose, and the ", "date": "2026-10-28", "para": 17, "sent": 63, "sentence": "Packagings: Perseus TEI CC BY-SA 4.0; Wikisource pages CC BY-SA 4.0 for the site's contributions; Project Gutenberg texts under the PG licence; Aozora Bunko texts under its terms for public-domain works.", "classes": ["generated texts made from existing source text (a public-domain novel taken whole, corpora, Markov chains over a corpus)"], "kind": "O-class", "categories": ["CC BY-SA 4.0"], "class_basis": {"generated texts made from existing source text (a public-domain novel taken whole, corpora, Markov chains over a corpus)": "field: B1 (The Rules: 'It could literally grab a random novel from Project Gutenberg.'; Resources: 'corpora, a repository of public domain lists of things'); B4 (card 4: 'makes smart use of Markov chains, a good corpus'); B5 (card 5: 'Early entries used Markov chains, scraped text, and procedural tricks'). The layer census's record.in_layer and record.makes and its relation 'uses' project-gutenberg (TLL record)."}, "cand_id": "O0034"}
{"dep": 1720, "title": "EA-CORPORA-30 — The Thirtieth Seating: The Exact Sciences — Einstein, Gödel, Tesla, Copernicus, Galileo, Kepler, Newton, Classical Arabic Mathematics, the Found", "date": "2026-10-30", "para": 14, "sent": 73, "sentence": "Johnston, 1892) — Harvard copy digitized by Google, scan and OCR layer - Nikola Tesla, Experiments with Alternate Currents of High Potential and High Frequency (the London lecture of 1892) — Project Gutenberg eBook #13476, plain text as served - Thomas Commerford Martin, The Inventions, Researches and Writings of Nikola Tesla (New York: The Electrical Engineer, 1894), carrying the 1888 AIEE paper on the polyphase system, the 1891, 1892 and 1893 lectures — digitized by Google, scan and OCR layer - Thomas Commerford Martin, The Inventions, Researches and Writings of Nikola Tesla (1894) — Project Gutenberg eBook #39272, plain text as served - Nikola Tesla, “The Problem of Increasing Human Energy, with Special References to the Harnessing of the Sun's Energy”, The Century Illustrated Monthly Magazine 60 (June 1900) — English Wikisource transcription - The Century Illustrated Monthly Magazine", "classes": ["generated texts made from existing source text (a public-domain novel taken whole, corpora, Markov chains over a corpus)"], "kind": "O-class", "categories": ["plain text", "The Problem"], "class_basis": {"generated texts made from existing source text (a public-domain novel taken whole, corpora, Markov chains over a corpus)": "field: B1 (The Rules: 'It could literally grab a random novel from Project Gutenberg.'; Resources: 'corpora, a repository of public domain lists of things'); B4 (card 4: 'makes smart use of Markov chains, a good corpus'); B5 (card 5: 'Early entries used Markov chains, scraped text, and procedural tricks'). The layer census's record.in_layer and record.makes and its relation 'uses' project-gutenberg (TLL record)."}, "cand_id": "O0035"}
{"dep": 1720, "title": "EA-CORPORA-30 — The Thirtieth Seating: The Exact Sciences — Einstein, Gödel, Tesla, Copernicus, Galileo, Kepler, Newton, Classical Arabic Mathematics, the Found", "date": "2026-10-30", "para": 14, "sent": 80, "sentence": "Wikisource pages are CC BY-SA 4.0 for the site's contributions; Project Gutenberg texts are under the Project Gutenberg licence, carried in each file. - Verified locus: My Inventions I, the opening (Wikisource) — 'The progressive development of man is vitally dependent on invention' - Verified locus: My Inventions I, the automaton (Wikisource) — 'I was merely an automaton endowed with power of movement' - Verified locus: My Inventions III, the Faust lines at the rotating field (Wikisource) — 'The glow retreats, done is the day of toil' - Verified locus: My Inventions VI, the opening (Wikisource) — 'No subject to which I have ever devoted myself has called for such concentration of mind' - Verified locus: My Inventions I, Electrical Experimenter, February 1919 — 'THE progressive development of man is vitally dependent on invention' (the issue prints the first word in capitals) - Verified ", "classes": ["generated texts made from existing source text (a public-domain novel taken whole, corpora, Markov chains over a corpus)"], "kind": "O-class", "categories": ["CC BY-SA 4.0"], "class_basis": {"generated texts made from existing source text (a public-domain novel taken whole, corpora, Markov chains over a corpus)": "field: B1 (The Rules: 'It could literally grab a random novel from Project Gutenberg.'; Resources: 'corpora, a repository of public domain lists of things'); B4 (card 4: 'makes smart use of Markov chains, a good corpus'); B5 (card 5: 'Early entries used Markov chains, scraped text, and procedural tricks'). The layer census's record.in_layer and record.makes and its relation 'uses' project-gutenberg (TLL record)."}, "cand_id": "O0036"}