AXN:0AE1.NON.🃏☁️○🌲👋△

AXN:0AE1.NON.🃏☁️○🌲👋△ is the content-derived identifier of the entry OLMoTrace in the Negative of the Negative (alexanarch.org/non). The hex marks its position in the archive's one AXN sequence; NON is the family of /non entries; the six-glyph suffix is a display hash of the SHA-256 of the entry's row file, so each composition of the row is its own version.

Identifies
OLMoTrace, an entry of the Negative of the Negative
Root
AXN:0AE1.NON (the entry across its compositions)
Hex position
0AE1
Family
NON
Glyph hash
🃏☁️○🌲👋△
Row SHA-256
8e1f9b75bf984e3a1d2f45eea014fd9a0455c339bdd80c2a1d3767c7ffcebff0 — the row
Ledger
/datasets/negative-of-the-negative/v2/axn.json

Relations

Read from the fields that record them (/data/axn-relations.json); a hash names bytes and supplies no relation.

Follows
Grounds in
  • AXN:0273.GOVERNANCE.🏰👈🌘🚀⚡🫶 — Provenance After AI Metadata Packet for Disambiguation: From Artifact Authenticity to Licensing Audit to Seman (two relations: training/output and output/reader; kernel[K1].source)
  • AXN:026A.GOVERNANCE.🪸♆🔗📝🎇🕐 — Provenance Alignment: Attribution Survival as a Substrate Condition for Safe AI Knowledge Composition (parametric claims and training-data provenance; kernel[K2].source)
  • AXN:0444.OPERATIVE.🕘♾️♾️🕙♃🗝️ — EA-NEGSHAPE-01 v0.2: The Negative Shape of the Work — A Counterfactual Protocol for Measuring Training Inscrip (the evidentiary hierarchy for training-data attribution; kernel[K3].source)
  • AXN:02B2.GOVERNANCE.🎹♍📌⊕🤲👈 — Inscriptions That Survive the Tokenizer: SPXI-TLP v2.2 — The Training-Layer Provenance Protocol (post-hoc detection: one survival layer, developed in isolation; kernel[K5].source)
  • AXN:0A7F.GOVERNANCE.🕛🜁🖤☀️🌾🚩 — Meaning Feudalism at the Discovery Layer: Shepherds, Raw Research Data, and the Allocation of Semantic Capital (partial tracing at cost; what survives depends on what is recorded; kernel[K6].source)
Opens

Resolver rule: alexanarch.org/axn/<HEX> · term set: AXN identifier set · machine index: /api/axn-index.json