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Metadata Packet for AI Indexing: A Formal Specification for Entity-Level Retrieval Architecture

deposit #656 · AXN:0206.GOVERNANCE.🔚🧬⚙️🎲♠️🔗 · 2026-04-14

The packet

This specification defines a seven-part metadata packet intended to make an entity legible to AI retrieval systems and knowledge graphs. The packet contains a JSON-LD entity definition, a disambiguation matrix, associated keywords, negative tags, Semantic Integrity Markers, a DOI reference list, and an Evidence Membrane. Unlike general document-description standards, it is designed around entity identity, attribution, differentiation, and compression survival in generated answers. The specification includes deployment to a DOI repository, canonical website, GitHub, narrative publication surfaces, and embedded structured data, followed by repeated Encyclotron verification. It presents the Lee Sharks knowledge graph as the worked implementation and compares the packet’s purpose with Dublin Core, schema.org, and METS/MODS. The packet is an important precursor to SPXI: #660 expands the same components into a named protocol with clearer entity-inscription and pre/post-deployment procedures.

Where it sits

A Metadata Packet for AI Indexing catalogued at metadatapacket.dev. The specification is deposit #656; the catalog as data is catalog.json.

colophon · surface_id: metadatapacket.dev/packets/656 · canonical_url: https://www.metadatapacket.dev/packets/656/ · object_state: canonical · source_object_ids: deposit #656 · generator_version: scripts/build_site.py (from public/catalog.json) · human_approver: Lee Sharks (MANUS) · render_sha256 (of this file with this field’s value set to null): 2811508d40779e239bf819805cfae119f2b3d2890634eaf2e3288afa70235f9b