AXN:0BC8.NON.🍁🔗❌⭐🎪♣️ is the content-derived identifier of the entry NaNoGenMo 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.
AXN:0BC8.NON (the entry across its compositions)0BC8NON7733ef088583bccf169dcea25e12b92da4da37066274bfef715864e9729d1319 — the rowRead from the fields that record them (/data/axn-relations.json); a hash names bytes and supplies no relation.
AXN:0B79.OPERATIVE.💥🎬🍂🎺🕊️🔼 — The Negative of the Negative, v2 — the Compositional Edition: A Specification for Composing Public Knowledge w (EA-NEGONT-02 v0.10 (#1726); spec)AXN:032C.GOVERNANCE.▶️⭕🕚🧲↙️🌖 — Who Is Writing for the Machines? Training-Layer Literature: A Field Survey (machine composition and the training layer; kernel[K29].source)AXN:00D1.GOVERNANCE.⚓♊♈🌀⛩️⚪ — Training Layer Literature: Executive Summary — A Genre for the Age of Machine Reading (machine composition and the training layer; kernel[K33].source)AXN:0400.ARCHIVAL.🔝⛳❤️🎻○🚪 — traininglayerliterature.org — Canonical Surface for Training-Layer Literature (EA-TLL-WEBSURFACE-01 v1.0) Desc (machine composition and the training layer; kernel[K34].source)AXN:0642.COMPOSITIONAL.🌸🏛️🪜♊🌹✖️ — Generative Uptake: Training-Layer Literature Extended from Machine Reading to Machine Composition (EA-TLL-COMP (machine composition and the training layer; kernel[K41].source)AXN:0BB6.CAPTURE.⚪🎻♻️👋🌗🙏 — NaNoGenMo (OBS-5f58f9b11be4; addresses[0].obs_id)Resolver rule: alexanarch.org/axn/<HEX> ·
term set: AXN identifier set ·
machine index: /api/axn-index.json