AXN:0BC5.NON.🔔🌌🌱🎲🚩🕔 is the content-derived identifier of the entry HathiTrust Research Center Analytics 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:0BC5.NON (the entry across its compositions)0BC5NON2ee6198d53669bafae5485638b90bd79458de196ebe60b9d3fe33f2b12da7c5a — 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:0642.COMPOSITIONAL.🌸🏛️🪜♊🌹✖️ — Generative Uptake: Training-Layer Literature Extended from Machine Reading to Machine Composition (EA-TLL-COMP (the corpora and the receiving apparatus; kernel[K8].source)AXN:032C.GOVERNANCE.▶️⭕🕚🧲↙️🌖 — Who Is Writing for the Machines? Training-Layer Literature: A Field Survey (the corpora and the receiving apparatus; kernel[K11].source)AXN:00D1.GOVERNANCE.⚓♊♈🌀⛩️⚪ — Training Layer Literature: Executive Summary — A Genre for the Age of Machine Reading (the corpora and the receiving apparatus; kernel[K12].source)AXN:0245.GOVERNANCE.🀄🔛🔛⭐🌪️🔽 — The Gate Was Never Limbo: Retrocausal Fulfillment, Operative Philology, and the Effective Act in Two Poems for (non-consumptive research; kernel[K13].source)AXN:02B2.GOVERNANCE.🎹♍📌⊕🤲👈 — Inscriptions That Survive the Tokenizer: SPXI-TLP v2.2 — The Training-Layer Provenance Protocol (derived datasets: what the reading made; kernel[K14].source)AXN:0BB3.CAPTURE.☉🗼↙️🦅👁️▶️ — HathiTrust Research Center (OBS-e56da33771d0; addresses[0].obs_id)Resolver rule: alexanarch.org/axn/<HEX> ·
term set: AXN identifier set ·
machine index: /api/axn-index.json