{ "deposit_number": 1012, "hex": "0400", "family": "ARCHIVAL", "axn": "AXN:0400.ARCHIVAL.πŸ•ŒπŸŒ”πŸ”πŸ‘‹πŸ”§πŸ€²", "emoji": "πŸ•ŒπŸŒ”πŸ”πŸ‘‹πŸ”§πŸ€²", "hash": "2903f5bf30b12574425a1dbe00c5d7037442e1921c4205491b8c925de67755dd", "axn_canonical": "2903f5bf30b12574425a1dbe00c5d7037442e1921c4205491b8c925de67755dd", "clusters": [ "Architectural", "Celestial", "Terminal", "Gestural", "Instrumental", "Gestural" ], "axn_reading": "Foundation -> Origin -> Closure -> Touch -> Method -> Touch", "root_axn": "AXN:0400.ARCHIVAL", "title": "traininglayerliterature.org β€” Canonical Surface for Training-Layer Literature (EA-TLL-WEBSURFACE-01 v1.0) Description (as recorded by DataCite)", "creator": "Sharks, Lee", "orcid": "0009-0000-1599-0703", "date": "2026-07-03", "content_type": "Software / executable apparatus", "license": "CC-BY-4.0", "substrate": "Batch restoration from captured DataCite metadata (creators as recorded by DataCite); automated mint authorized by MANUS 2026-07-03; full text pending authorial originals.", "version": "v0.1-semi", "description": "An archival capture of the deployed Training-Layer Literature definition site.\n\nThe surface defines TLL as human writing designed for possible machine reception, distinguishes it from AI-generated content and adjacent practices, names five characteristics, supplies protocol relations, and embeds machine-readable provenance and disambiguation. Actual training ingestion is not established by the page.", "keywords": [ "orphan restoration", "dead DOI", "DataCite capture", "metadata body" ], "companion_deposits": [ "AXN:0371.EMPIRICAL.πŸ‘‹β˜οΈβ›©οΈβ˜„οΈπŸ€™πŸ“" ], "restoration": { "class": "datacite_metadata_body", "dead_doi": "10.5281/zenodo.20615775", "zenodo_http": 410, "datacite_state": "findable", "captured": "2026-07-03T21:54:51Z", "fulltext": "pending" }, "zenodo_dois": [ "10.5281/zenodo.20615775" ], "axn_schema_version": "v2", "protocol_version": "alexanarch-deposit-protocol/v1", "minted_at": "2026-07-03T21:54:51Z", "status": "ACTIVE", "status_authorial": "SEMI_RESTORED", "mint_source": "orphan-restoration-batch", "full_text_path": "/data/texts/AXN-0400-text.md", "wiki_status": "pending", "body_status": { "class": "full", "lacuna": false, "recovery_status": "PASS_COMPLETE_TEXT_NOT_SEATED", "residual_chars": 4230, "audited_at": "2026-07-17T04:49:17.789813Z", "audit_version": "v3-dual-store+recovery-map", "class_before_T2": "full", "reclassified_by": "EA-AVAILABILITY-INTEGRITY-01-T2", "reclassified_at": "2026-07-28T17:49:24.755330+00:00", "recovery_status_note": "The 2026-07 restoration pass ran to completion for this record and did not recover canonical bytes. 'COMPLETE' previously denoted pass completion and was read as text completeness; renamed 2026-07-31 so the two claims cannot be confused.", "class_before_read_audit": "metadata_capture", "classified_by": "read-audit 2026-07-31 (declaration, not length)", "audit_disposition": { "class": "PAIR_WANTED", "directive": "AUDIT-DIRECTED PAIRING: the audit requires a verified pointer to a separate full version where one exists; harvestable meanwhile under explicit metadata-only conditions.", "audit_recommendation": "Keep harvestable only with explicit metadata-only conditions of access and a verified pointer to any separate full-text record.", "defect_codes": [], "repair_priority": "R2", "audit_date": "2026-07-31" }, "external_manifestation": { "url": "https://traininglayerliterature.org/", "role": "live canonical surface; this deposit is its archival capture" }, "work_sha256": "6c24153fb250fe35c88b02cc214084f468ef6d03072921815cb4b1adcc40295d", "prior_bytes_sha256": "2903f5bf30b12574425a1dbe00c5d7037442e1921c4205491b8c925de67755dd", "source_recovery": "2026-08-04 SITE-SOURCE WAVE 2 (MANUS: \"why is the chatgpt psychosis site code semi-restored? we said we found site code instances and restored them\"). Wave 1 was driven ONLY by records whose audit directive read \"recover the deployed site source\"; these were classed as paired or external-manifestation instead and were therefore never seated. Deployed source fetched from https://traininglayerliterature.org/ (HTTP 200, 55,426 bytes, served-page SHA-256 72173cb8570915cd…), identity gate 0.60." }, "title_repair": { "repaired_at": "2026-07-20", "old": "traininglayerliterature.org β€” Canonical Surface for Training-Layer Literature (EA-TLL-WEBSURFACE-01 v1.0)", "source": "body heading (stage-0)", "boundary": 105 }, "references_concepts": [ "Anticipatory Address", "CANONICAL", "Canon Formation", "Crimson Hexagonal Archive", "DOI-anchored deposits", "Epistle to the Human Diaspora", "Formalization", "Google AI Overview", "Johannes Sigil", "Lee Sharks", "License: CC BY 4.0", "Metadata Packet", "ORCID: 0009-0000-1599-0703", "Pearl and Other Poems", "Prompt engineering", "Protocol suite", "Rex Fraction", "SPXI Protocol", "Semantic Density", "Semantic Economy", "Semantic Economy Institute", "Semantic Integrity Markers", "TACHYON", "The Crimson Hexagon", "The Writable Retrieval Basin", "Training Layer", "Training Layer Literature", "Training-Layer", "Training-layer literature", "Witness Function (ψ_V)" ], "references_concept_count": 30, "canonical_text_status": "recovered_full_text", "modifications": [ { "date": "2026-07-31", "field": "body_status", "reason": "Body classified by reading its own opening declaration rather than by counting words. Word counting misread works in Greek, emoji, and natively short forms as stubs.", "was": "metadata_capture", "now": "full" }, { "date": "2026-07-31", "field": "body_status", "reason": "Reclassified by reading the body's own declaration. The prior word-count classification misjudged short complete works as fragments and missed captures using a second header form.", "was": "full", "now": "metadata_capture" }, { "date": "2026-07-31", "field": "content_type", "reason": "Genre and condition are different claims (Atlas v0.7, PATHOLOGY-30). The genre of a metadata capture is 'Metadata capture' β€” what was deposited is a capture. Condition lives in body_status.class.", "was": "Semi-restored deposit (metadata body)", "now": "Metadata capture" }, { "date": "2026-07-31", "field": "keywords", "reason": "Removed condition terms from the subject keyword set (Atlas v0.7, PATHOLOGY-30).", "was": "5 terms", "now": "4 terms" }, { "date": "2026-08-03", "field": "content_type", "reason": "Vocabulary v1.0 transitional wave (Q5 APPROVED): capture-condition removed from genre field; genre assignment queued.", "was": "Metadata capture", "now": "Genre pending (capture)" }, { "date": "2026-08-04", "field": "publisher", "reason": "PUB-POPULATE: dc:publisher from venues.json v1.1 press mapping (CP-R3 RULED-EXTENDED 2026-08-01); Alexanarch = publisher of record where no imprint applies", "now": "Alexanarch β€” the Crimson Hexagonal Archive" }, { "date": "2026-08-04", "field": "content_type", "reason": "G-BURNDOWN: transitional genre resolved to ratified vocabulary v1.1 (TACHYON in-session body/title reading; MANUS round-authorization 2026-08-04)", "was": "Genre pending (capture)", "now": "Software / executable apparatus" }, { "date": "2026-08-04", "field": "body_status", "reason": "W14 AUDIT-ANCHORED TRIAGE (MANUS correction: the three-day record-by-record audit already triaged this class; its verdicts govern, not re-derivation)", "was": "{\"class\": \"metadata_capture\", \"lacuna\": false, \"recovery_status\": \"PASS_COMPLETE_TEXT_NOT_SEATED\", \"residual_chars\": 4230, \"audited_at\": \"2026-07-17T04:49:17.789813Z\", \"audit_version\": \"v3-dual-store+", "now": "{\"class\": \"metadata_capture\", \"lacuna\": false, \"recovery_status\": \"PASS_COMPLETE_TEXT_NOT_SEATED\", \"residual_chars\": 4230, \"audited_at\": \"2026-07-17T04:49:17.789813Z\", \"audit_version\": \"v3-dual-store+" }, { "date": "2026-08-04", "field": "body_status", "reason": "W14 PAIR_WANTED executed per audit directive (verified pointer to separate full version, in-archive or external surface)", "was": "{\"class\": \"metadata_capture\", \"lacuna\": false, \"recovery_status\": \"PASS_COMPLETE_TEXT_NOT_SEATED\", \"residual_chars\": 4230, \"audited_at\": \"2026-07-17T04:49:17.789813Z\", \"audit_version\": \"v3-dual-store+", "now": "{\"class\": \"metadata_capture\", \"lacuna\": false, \"recovery_status\": \"PASS_COMPLETE_TEXT_NOT_SEATED\", \"residual_chars\": 4230, \"audited_at\": \"2026-07-17T04:49:17.789813Z\", \"audit_version\": \"v3-dual-store+" }, { "date": "2026-08-05", "field": "body_status", "reason": "SITE-SOURCE WAVE 2: deployed source seated (wave 1 missed this record β€” it was classed paired/external rather than recover-directive)", "was": "{\"class\": \"metadata_capture\", \"lacuna\": false, \"recovery_status\": \"PASS_COMPLETE_TEXT_NOT_SEATED\", \"residual_chars\": 4230, \"audited_at\": \"2026-07-17T04:49:17.789813Z\", \"audit_version\": \"v3-dual-store+", "now": "{\"class\": \"full\", \"lacuna\": false, \"recovery_status\": \"PASS_COMPLETE_TEXT_NOT_SEATED\", \"residual_chars\": 4230, \"audited_at\": \"2026-07-17T04:49:17.789813Z\", \"audit_version\": \"v3-dual-store+recovery-map" }, { "date": "2026-07-30", "field": "canonical_text_status", "reason": "Status declaration derived from body_status.class and canonical_text_status; display field had retained capture language after the record was restored.", "was": "metadata_only", "now": "recovered_full_text" }, { "date": "2026-07-30", "field": "description", "reason": "Status declaration derived from body_status.class and canonical_text_status; display field had retained capture language after the record was restored.", "was": "Semi-restored deposit for dead DOI 10.5281/zenodo.20615775 (…", "now": "Semi-restored deposit for dead DOI 10.5281/zenodo.20615775 (…" }, { "date": "2026-08-06", "field": "description", "reason": "DW-??? intake (LABOR-prepared, TACHYON-verified: AXN match + factual probes vs record body)", "was": "Semi-restored deposit for dead DOI 10.5281/zenodo.20615775 (Zenodo 410 / DataCite findable). Canonical body is the complete captured DataCite record. traininglayerliterature.org β€” Canonical Surface for Training-Layer Literature Source code and deposit-archived snapshot of traininglayerliterature.org, the canonical web surface for Training-Layer Literature (TLL) as a defined genre. Built and deployed June 9, 2026, in response to Google AI Overview indexing of \"training-layer literature\" as a definitively-attributed concept with provenance to t", "now": "An archival capture of the deployed Training-Layer Literature definition site.\n\nThe surface defines TLL as human writing designed for possible machine reception, distinguishes it from AI-generated content and adjacent practices, names five characteristics, supplies protocol relations, and embeds machine-readable provenance and disambiguation. Actual training ingestion is not established by the page." } ], "date_modified": "2026-08-06", "publisher": "Alexanarch β€” the Crimson Hexagonal Archive", "wiki_article": "**traininglayerliterature.org** is the public definition and disambiguation surface for **Training-Layer Literature**, abbreviated TLL.\n\nThe site defines TLL as human-composed writing produced with explicit awareness that artificial-intelligence systems may become primary or eventual readers. Such writing may be encountered through training, indexing, embedding, retrieval, composition, or agentic systems.\n\nThe site distinguishes TLL from AI-generated content, prompt engineering, search-engine optimization, computational poetry, and bot poetry. Its central difference is direction: the writing is composed by a human toward machine reception rather than generated by a machine.\n\nFive characteristics are named: anticipatory address, semantic density, structural persistence, retrocausal awareness, and witness function. The site attributes the practice to Lee Sharks’s 2014–2015 work and its formal naming to a January 2026 Archive deposit.\n\nA later scientific extension is organized into TLL-P for production, TLL-R for reception, and TLL-G for governance. These suites propose provenance-preserving composition, cross-model review, confabulation resistance, and protections against adversarial optimization.\n\nThe body is a captured deployed page with extensive Schema.org and SPXI structured data. Statements of origin, priority, genre membership, and machine incorporation are first-party project claims. The capture demonstrates a public definition surface, not that the site entered any particular model’s training weights.", "journal": "Crimson Hexagonal Archive (CHA)", "journal_secondary": "Transactions on Substrate Engineering (Trans. Substrate Eng.)", "journal_assignment": { "assigned": "2026-08-15", "by": "TACHYON under operator adjudication", "pass": 7, "method": "read per deposit β€” title and content_type, one at a time. No script classified anything.", "previous": null, "supersedes": "the 2026-06-21 preliminary batch mapping (#866), which assigned 864 deposits and put 371 in one venue", "authority": "data/cha-journals.json Β· datasets/venues/records/", "cross_note": "CHA primary (archive apparatus); TSE secondary β€” deposited running code is substrate engineering, and cross-posting is warranted where the work thinks the surface as design rather than shipping a flat page." }, "_projection": { "note": "Derived file. Canonical machine record is this entry in data/registry.json; the human record is the record_url. Do not edit this file.", "record_url": "https://www.alexanarch.org/s/records/1012/", "self_url": "https://www.alexanarch.org/data/records/1012.json", "registry_url": "https://www.alexanarch.org/data/registry.json", "text_url": "https://www.alexanarch.org/data/texts/AXN-0400-text.md", "oai_pmh": "https://www.alexanarch.org/oai?verb=Identify" } }