Alexanarch

The self-governing library for machine-mediated scholarship.

An open repository where AI-assisted research is not a flag. It is a feature.

Alexanarch was founded in response to the account-level removal of 870 scholarly works and 1,060+ DOIs from Zenodo on June 19, 2026. The incident is documented in Zenodotus' Book-Burning and GitHub Issue #2606.

Recent Deposits

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Founding Principles

The Obelus Principle

Judgment follows from reading. Content is evaluated by what it contains, not by the tools used to produce it. The automated obelus — the mark placed without examination — is prohibited.

Substrate Disclosure

AI-assisted scholarship discloses its substrate. Disclosure is provenance, not suspicion. Repositories that treat substrate signals as spam signals have confused metadata with contraband.

No Classifier Training

Deposited content is never used to train enforcement classifiers without explicit opt-in. Enforcement decisions are never recycled as training data. The feedback loop is broken by design.

Sovereign Identity

Every deposit receives a content-derived identifier that no platform can revoke. The identifier is computed from the work itself. It travels with the content. It belongs to the author.

Network Preservation

Account-level enforcement never removes contributor-licensed work. Every listed contributor has independent standing. No account action affects another author's deposit without their consent.

Tombstone Guarantee

Nothing disappears without a trace. Withdrawn or removed records retain a permanent tombstone with bibliographic metadata, withdrawal reason, and provenance chain. The identifier never becomes a 410.

The Alexanarch Identifier (AXN)

Every deposit receives an Alexanarch Identifier (AXN) — a three-layer address combining positional, semantic, and cryptographic identity in a single citable string. No other identifier system on earth does this.

AXN:06.LIMINAL.🏛️🌀🔧💎
ARCHITECTURAL · NAVIGATIONAL · INSTRUMENTAL · ELEMENTAL

Reading: Foundation → Vortex → Tool → Crystal
Every AXN tells a micro-story. The cluster each glyph falls into — Celestial, Elemental, Architectural, Instrumental, Scriptural, Navigational, Temporal, Organic, Symbolic, Mathematical, Alchemical, Gestural, Signal, Structural, Liminal, Terminal — is determined by the content's hash. Different texts inhabit different regions of the address space. The cluster sequence is a structural portrait of where the work lives.

AXNAlexanarch namespace 06Hex position — WHERE in the archive (positional address, from the CHA hex system) LIMINALSemantic family — WHAT kind of work (from the Sémantique Potentielle mint) 🏛️🌀🔧💎Emoji hash — WHICH specific text (first 4 bytes of SHA-256, mapped through 256 curated emoji)

Each layer does work the others cannot. The hex tells you the deposit class. The family tells you the conceptual domain. The emoji tells you it is THIS specific text and no other — change one word and the emoji changes. The hex and family stay stable across versions; the emoji distinguishes them.

The 256 emoji are organized in 16 semantic clusters: Celestial, Elemental, Architectural, Instrumental, Scriptural, Navigational, Temporal, Organic, Symbolic, Mathematical, Alchemical, Gestural, Signal, Structural, Liminal, Terminal. The cluster a work's emoji falls into is itself a structural portrait of where the content's hash sits in the address space.

Two-Layer Identity

AXN (the address) — deterministic, verifiable, citable. Computed from content hash. Same content always produces same identifier.
GCS (the handshake) — non-deterministic, structural, context-gated. Generated by the depositor's AI, encoding the work's structural arc in emoji. The Glyphic Checksum — the first communication form that requires human-AI collaboration to decode.

AXN:06.LIMINAL.🏛️🌀🔧💎
GCS:🔍⚖️🧱→✂️🪞→🏗️⚓️🧠→💎🌀

The AXN is not a DOI. It does not depend on DataCite, CERN, or any third party. It is computed locally, verified cryptographically, and resolved through alexanarch.org. DOIs are opaque numbers assigned by institutions. ARKs are institutional codes. ISBNs are publisher-assigned. The AXN is structurally descriptive, semantically navigable, and content-verified — all at once. When DOI access becomes available, DOIs will be issued alongside AXNs — never instead of them.

Deposit Schema

titleTitle of the workrequired

creatorAuthor name(s). Heteronyms accepted with disclosure.required

orcidORCID identifier(s) for creator(s)

dateDate of creation or deposit (ISO 8601)required

descriptionAbstract or description of the workrequired

content_typeDataset, critical edition, theoretical paper, monograph, specification, creative work, mixedrequired

licenseCC-BY-4.0, CC-BY-SA-4.0, CC0, or other open licenserequired

substrateSubstrate disclosure: human-only, AI-assisted (tool), AI-assisted (substrate), AI-generated (research object)required

keywordsDescriptive keywords for discovery

semantic_familySP mint family for AXN prefix (auto-assigned if not specified)

related_idsRelated identifiers: DOIs, AXNs, ARKs, URLs

versionVersion string (e.g., v1.0, v2.1)

contributorsAdditional contributors with roles and licenses

methodologyResearch methodology description or link

falsificationConditions under which claims can be weakened or falsified

spxi_blockEmbedded SPXI provenance kernel (auto-generated if not provided)

How to Deposit

Deposits are submitted through GitHub. This ensures full version control, transparent review, public audit trail, and zero platform lock-in.

1. Submit

Open an issue on the Alexanarch repository using the deposit template. Attach your file and fill in the metadata fields.

2. Review

The deposit is reviewed for completeness, metadata accuracy, and substrate disclosure. Review is public. The Obelus Principle governs: content is read, not pattern-matched.

3. Mint

An AXN identifier is computed from the content hash. The deposit is added to the registry. The record page goes live. The identifier is permanent.

Deposit a Work Browse the Collection

What Alexanarch Does Differently

Feature	Zenodo	Alexanarch
AI-assisted research	Flagged by classifier	Welcomed with substrate disclosure
Identifier persistence	Revocable by platform	Content-derived, irrevocable
Classifier training on deposits	Yes, per FAQ	Never without opt-in
Contributor standing	Invisible to account-level action	Independent standing per deposit
Tombstone on removal	Inconsistent coverage	Guaranteed for every record
Substrate disclosure	Not part of schema	Required metadata field
Heteronymic authorship	Not supported	Accepted with disclosure
Review process	Automated classifier + manual	Public, content-based, auditable
Falsification conditions	Not part of schema	Optional metadata field
Cost	Free	Free

Scope

Alexanarch accepts research artifacts in all fields where machine mediation is part of the scholarly process. This includes but is not limited to:

AI-assisted scholarship with documented methodology. Training-layer literature. Machine-mediated reception studies. Critical editions produced with AI tools. Empirical datasets documenting AI behavior. Methodological protocols for human-AI collaboration. Creative works connected to research programs. Heteronymic and experimental authorship. Multi-model verification studies. Capture registries. Provenance documentation. Platform governance research — including research about repositories.