AXN:0BC1.NON.♉🏁🌙🌺♾️🍄 — Alexanarch AXN resolver

AXN:0BC1.NON.♉🏁🌙🌺♾️🍄 is the content-derived identifier of the entry Electronic Literature Collection 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.

Relations

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

Follows

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)

Grounds in

AXN:032C.GOVERNANCE.▶️⭕🕚🧲↙️🌖 — Who Is Writing for the Machines? Training-Layer Literature: A Field Survey (electronic literature in the archive's field history; kernel[K12].source)
AXN:00D1.GOVERNANCE.⚓♊♈🌀⛩️⚪ — Training Layer Literature: Executive Summary — A Genre for the Age of Machine Reading (electronic literature in the archive's field history; kernel[K15].source)
AXN:0276.GENERATIVE.🚩🃏📝🔩🍂🔩 — Canon Formation in the Age of AI: Metadata Packet for Disambiguation, Training-Layer Selection, and Retrocausa (anthology as selection; kernel[K16].source)
AXN:0647.GENERATIVE.📚🎪🟢□✋🔜 — When Suppression Becomes Expensive: Suppression Burden, Quality Conflict, and Propagation Inversion in Machine (the freeze of the anthology; kernel[K17].source)
AXN:0429.UNCLASSIFIED.🌊🌊♄🟣🕐◇ — Transmission-Engineering as Compositional Practice: The Checksum Framework and its Handler Typology (the freeze of the anthology; kernel[K18].source)
AXN:0642.COMPOSITIONAL.🌸🏛️🪜♊🌹✖️ — Generative Uptake: Training-Layer Literature Extended from Machine Reading to Machine Composition (EA-TLL-COMP (The Readers Project; kernel[K19].source)

Opens

AXN:0BB0.CAPTURE.🔬▽💚🔭🦋🧱 — Electronic Literature Collection (OBS-d86789249e46; addresses[0].obs_id)