{
 "deposit_number": 1469,
 "axn": "AXN:05EF.EMPIRICAL.▶️🤲♍♎🕗💥",
 "hex": "05EF",
 "family": "EMPIRICAL",
 "emoji": "▶️🤲♍♎🕗💥",
 "hash": "d3b1aeaf69eb907f251199dbace8841b1ce6cae6dcdc2b145dc03441984f4ff8",
 "title": "The Three Dimensions of Provenance Erasure: PER-M, PER-C, PER-D — Atomic Scoring Rules with the SPXI Event of 14 August 2026 as First Worked Instance",
 "creator": "Sharks, Lee",
 "date": "2026-08-14",
 "description": "Formalizes the M/C/D dimensional taxonomy of the Provenance Erasure Rate, which has carried on provenanceerasure.org marked as site-stage with formalization pending. PER as a scalar cannot distinguish a composition that names the author and drops the licence from one that names the licence and drops the author: same score, opposite injury. The three dimensions separate minimal provenance (author, title, date, claim boundary), conceptual provenance (framework, tradition, institution, community of practice), and deep provenance (lineage, genealogy, identifiers, licence, futural obligation). Six atomic scoring rules make the taxonomy reproducible: atoms declared and weighted before the composition is read, presence explicit with no inference from context, an empty citation bracket a violation per se, citing a domain never counting as citing an author, integer weights 1 to 3, one dimension per atom, and dimensional scores computed over their own dimension's weights. The first worked instance scores PER 0.824 with PER-M 1.00, PER-C 0.67, PER-D 1.00 on a real composition, exposing a shape a scalar cannot report: the organisation named, the persons withheld.",
 "content_type": "Metric specification",
 "license": "CC-BY-SA-4.0",
 "substrate": "AI-assisted (substrate)",
 "root_axn": "AXN:05EF.EMPIRICAL",
 "axn_schema_version": "v2",
 "protocol_version": "alexanarch-deposit-protocol/v1",
 "axn_canonical": "d3b1aeaf69eb907f251199dbace8841b1ce6cae6dcdc2b145dc03441984f4ff8",
 "clusters": [
  "Structural",
  "Gestural",
  "Alchemical",
  "Alchemical",
  "Temporal",
  "Liminal"
 ],
 "axn_reading": "Direction -> Touch -> Transmutation -> Transmutation -> Duration -> Threshold",
 "minted_at": "2026-08-15T02:50:04Z",
 "status": "ACTIVE",
 "status_authorial": "SELF_SERVE_MINTED",
 "full_text_path": "/data/texts/AXN-05EF-text.md",
 "wiki_article": "**The Three Dimensions of Provenance Erasure** formalizes the M/C/D decomposition of the Provenance Erasure Rate, which had carried on provenanceerasure.org marked *site-stage, formalization in progress* since the surface was built.\n\nThe motivating problem is that **PER as a scalar cannot distinguish two failures a reader experiences very differently**: a composition that names the author and drops the licence scores identically to one that names the licence and drops the author. **PER-M** covers author, title, date and claim boundary; **PER-C** the framework, tradition, institution and community of practice; **PER-D** lineage, genealogy, identifiers, licence and futural obligation.\n\nSix atomic scoring rules make it reproducible. Atoms are declared and weighted before the composition is read and published with the score. Presence is explicit — no inference from context, and **an empty citation bracket is a violation per se**. **Citing the domain is not citing the author**: a source strip satisfies the source atom and nothing else. Weights are integers 1–3; each atom belongs to exactly one dimension; dimensional scores are computed over their own dimension's weights.\n\nThe first worked instance scores a real composition at **PER 0.824 with PER-M 1.00, PER-C 0.67, PER-D 1.00** — the organisation named, the persons withheld. That shape is invisible to a scalar, and the eyeballed reading of the same capture recorded it wrongly as 'source-level only' precisely because it lacked the decomposition.\n\nThe document declines to set thresholds and states that **cross-entity comparison of PER values is not licensed** until atom sets are standardised per entity type.",
 "wiki_status": "AUTHORSHIP_REQUIRED",
 "entities": [],
 "entity_status": "provisional",
 "defines_concepts": [
  "PER-M",
  "PER-C",
  "PER-D",
  "attribution atom",
  "atomic scoring rules",
  "the empty bracket violation",
  "citing the domain is not citing the author"
 ],
 "orcid": "0009-0000-1599-0703",
 "keywords": [
  "provenance erasure rate",
  "PER-M",
  "PER-C",
  "PER-D",
  "attribution atom",
  "atomic scoring",
  "dimensional taxonomy",
  "provenanceerasure.org",
  "citation card",
  "source strip",
  "machine-mediated reception",
  "MMRS"
 ],
 "version": "v1.0",
 "related_deposits": [
  {
   "deposit_number": 716,
   "relation": "extends",
   "note": "the canonical PER metric"
  },
  {
   "deposit_number": 789,
   "relation": "builds_on",
   "note": "PER under the Atomic Token Rule"
  },
  {
   "deposit_number": 1461,
   "relation": "evidence",
   "note": "the capture registry holding the worked instance"
  },
  {
   "deposit_number": 1464,
   "relation": "companion",
   "note": "specified this deposit"
  }
 ],
 "body_status": {
  "class": "full",
  "lacuna": false,
  "recovery_status": "COMPLETE",
  "residual_chars": 8969,
  "audited_at": "2026-08-15T02:50:04Z",
  "audit_version": "mint-time-declaration"
 },
 "journal": "Provenance: Journal of Forensic Semiotics",
 "journal_assignment": {
  "assigned": "2026-08-15",
  "by": "TACHYON under operator adjudication",
  "pass": 10,
  "method": "read per deposit — 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 · datasets/venues/records/"
 },
 "references_concepts": [
  "Crimson Hexagonal Archive",
  "Google AI Overview",
  "Lee Sharks",
  "Methodology",
  "Provenance Erasure Rate",
  "Rex Fraction",
  "Rule 1",
  "Rule 2",
  "Rule 3",
  "Rule 4",
  "Rule 5",
  "Rule 6",
  "Semantic Economy",
  "Semantic Economy Institute"
 ],
 "references_concept_count": 14,
 "falsification_conditions": "The taxonomy fails if two independent scorers working from the same published atom table produce dimensional scores differing by more than the margin attributable to a single atom. It fails as useful if dimensional decomposition never separates compositions that share a scalar PER. Any individual score is falsified by a re-run at the same address, surface and authentication state returning different atom presence. Cross-entity comparison of PER values is not licensed by this document and any such comparison is out of scope rather than falsified.",
 "falsification_source": {
  "from": "body section",
  "heading": "## Falsification Conditions",
  "harvested": "2026-09-08"
 },
 "line": "capture-and-reception",
 "line_parent": "science",
 "line_basis": "derived",
 "_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/1469/",
  "self_url": "https://www.alexanarch.org/data/records/1469.json",
  "registry_url": "https://www.alexanarch.org/data/registry.json",
  "text_url": "https://www.alexanarch.org/data/texts/AXN-05EF-text.md",
  "oai_pmh": "https://www.alexanarch.org/oai?verb=Identify"
 }
}