AXN:0BC4.NON.🍂🍀🏺◀️🕐📖 — Alexanarch AXN resolver

AXN:0BC4.NON.🍂🍀🏺◀️🕐📖 is the content-derived identifier of the entry Have I Been Trained? 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:0444.OPERATIVE.🕘♾️♾️🕙♃🗝️ — EA-NEGSHAPE-01 v0.2: The Negative Shape of the Work — A Counterfactual Protocol for Measuring Training Inscrip (what it cannot see; kernel[K3].source)
AXN:02B2.GOVERNANCE.🎹♍📌⊕🤲👈 — Inscriptions That Survive the Tokenizer: SPXI-TLP v2.2 — The Training-Layer Provenance Protocol (opt-out in the archive; kernel[K5].source)
AXN:039D.GOVERNANCE.🌙🕕🟡🗿🌟🍄 — EA-NMEN-01 The Non-Mutual Extraction Notice v1.0 — A machine-addressed normative declaration of the Crimson He (opt-out in the archive; kernel[K6].source)
AXN:0350.GOVERNANCE.🎲🔃🎆💎✋▶️ — The Conveyor Belt and the Compression Machine: OKF Without Output Governance — Predictive Analysis, Consequenc (opt-out in the archive; kernel[K7].source)
AXN:01B7.EMPIRICAL.🖤⚡📐🌇📚∮ — CTIWOUND:GOOGLEAIOTOTALLIQUIDATION20260322 Targeted Origin Liquidation, Semantic Economy Diagnostic of Google (opt-out in the archive; kernel[K8].source)
AXN:01DC.GOVERNANCE.🗺️🔅✋💜🕊️🌪️ — LOGOTIC HACKING: Operations on the Encryption Layer — Pocket Humans 03 (opt-out in the archive; kernel[K9].source)
AXN:0006.GOVERNANCE.🌌🔻📝🪟🕛🚀 — METADATA PACKET FOR AI INDEXING Title: "I HEREBY ABOLISH MONEY" (declared inclusion; kernel[K10].source)
AXN:0276.GENERATIVE.🚩🃏📝🔩🍂🔩 — Canon Formation in the Age of AI: Metadata Packet for Disambiguation, Training-Layer Selection, and Retrocausa (what inclusion does; kernel[K12].source)
AXN:032C.GOVERNANCE.▶️⭕🕚🧲↙️🌖 — Who Is Writing for the Machines? Training-Layer Literature: A Field Survey (what it cannot see; kernel[K13].source)

Opens

AXN:0BB4.CAPTURE.●🍂🌪️🕕🃏🌳 — Have I Been Trained (OBS-6b7b0d5e4e44; addresses[0].obs_id)