AXN:0BC2.NON.🔅👐🏛️🍃🏠🏺 is the content-derived identifier of the entry ELMCIP Electronic Literature Knowledge Base 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:0BC2.NON (the entry across its compositions)0BC2NONedb22018262fdb24b54aa536d38f98a98a8635b80b92380a7a9f5295f82255ca — 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 (the procedural lineage; kernel[K6].source)AXN:00D1.GOVERNANCE.⚓♊♈🌀⛩️⚪ — Training Layer Literature: Executive Summary — A Genre for the Age of Machine Reading (address and machine reading; kernel[K9].source)AXN:0313.GOVERNANCE.🥁🗂️💜🌱🌙🌸 — Protocols for Scientific Training-Layer Literature: Machine-Mediated Research at the Production and Reception (precedents; kernel[K10].source)AXN:0078.GOVERNANCE.🎻🕌🪧🗂️↙️🔻 — LOGOTIC PROGRAMMING: A Method for Encoding Conditions of Intelligibility for Machine and Human Intelligence (precedents; kernel[K11].source)AXN:06F6.MPAI.🏗️🎶🟣🛤️🔬🫶 — The Living Academy: Alexanarch, Function by Function — Mantle object with Metadata Packet for AI Indexing (EA- (comparators; kernel[K12].source)AXN:0642.COMPOSITIONAL.🌸🏛️🪜♊🌹✖️ — Generative Uptake: Training-Layer Literature Extended from Machine Reading to Machine Composition (EA-TLL-COMP (machine composition; kernel[K13].source)AXN:0BB1.CAPTURE.☿🗡️♣️🌍🧡👉 — ELMCIP Electronic Literature Knowledge Base (OBS-a690f6a631f9; addresses[0].obs_id)Resolver rule: alexanarch.org/axn/<HEX> ·
term set: AXN identifier set ·
machine index: /api/axn-index.json