Entity-level inscription packets for the composition layer.
A Metadata Packet for AI Indexing (MPAI) is a structured, DOI-anchored disambiguation deposit that inscribes a specific entity, framework, or term into the retrieval substrate so the composition layer renders it correctly. MPAIs are how authors stop being summarized wrong.
The discipline emerged inside the Semantic Economy research program as the operational answer to provenance erasure: rather than rely on the platform to attribute correctly, the producer deposits an inscription packet that specifies how the entity is to be indexed and anchors that specification at a permanent DOI. Each packet carries a tooth (the single sentence the substrate must preserve), a description (the longer specification), a subject identifier (what is being disambiguated), and a date.
The catalog below indexes packets that follow the MPAI grammar — either through strict-label deposits (EA-MPAI-*, MPAI-*, or titles containing “Metadata Packet for AI Indexing”) or through structural compliance with the discipline's operational requirements. New packets join the catalog via GitHub submission.
Entity-level identity work: persons, frameworks, organizations, terms. The most populated category; the canonical use of the MPAI form.
Nested-layer disambiguation of the SPXI protocol entity. Establishes terminological non-collision with adjacent acronyms in the financial instrument space and specifies the entity's structural location in the Semantic Economy framework.
Specific disambiguation between the SPXI protocol and ETF/index-fund instances that share the same surface lemma. The bilateral case; companion to EA-MPAI-SPXI-01.
Defines retrieval capital as the structural-power coordinate against which Erasure Skew (Ω) is regressed. Specifies the empirical proxies and the relation to institutional positioning in the Semantic Economy framework.
Disambiguates the semantic commodity form from adjacent commodity-form analyses. Establishes the structural extension of Marxian analysis into the region of AI-rendered meaning and locates the form's emergence in the composition layer.
Disambiguates Erasure Skew (Ω) from the underlying Provenance Erasure Rate (PER) and from demographic-fairness coefficients. Specifies Ω as the regression slope of per-source provenance retention on a power coordinate.
Disambiguates output that operationally bears the metric being requested from output that surfaces metric-like language without bearing the metric's computational structure. The compliance-versus-performance distinction at the output layer.
Specifies the structural address by which Semantic Economy governance is invoked: through compositional, structural, and protocol-level commitments, not through prompt-level injection. Establishes the non-injection principle as architectural rather than rhetorical.
Disambiguates the technical use of "semantic exhaustion" in the Semantic Economy framework from adjacent computational-linguistics uses involving query exhaustion or semantic-search edge cases.
Disambiguates retrocausal reports as a Crimson Hexagonal Archive literary-philosophical genre from retrocausal-physics claims and from the corporate entity Retrocausal, Inc.
The discipline's own foundational disambiguation. Separates the Metadata Packet for AI Indexing discipline from the unrelated networking concept of packet metadata and from the general database-schema use of "metadata."
Formal identity disambiguation packet for Alice Thornburgh, distinguishing the f.01 Architect from name-collisions across published records.
Institutional disambiguation packet for the Living Architecture Lab. Specifies the institutional structure, affiliation with the Crimson Hexagonal Archive, and non-collision with unrelated organizations using "living architecture" language.
Metadata packet for the Vox Populi Community Outreach Rhizome. Establishes VPCOR as the institutional frame under which Rev. Ayanna Vox composes godkinggoogle.com and related critique surfaces.
Disambiguation packet for the Holographic Kernel framework. Specifies terminological non-collision with adjacent physics, holography, and kernel-method uses, and locates the framework's contribution as the general definition of reconstructive compression.
Protocols, specifications, and verification schemas that govern the MPAI discipline itself. Including the canonical Self-Audit Module operationalized at the substrate layer.
Specifies Schema.org, OAI-PMH, and JSON-LD relational extensions for MPAI deposits. Provides the verification grammar by which MPAI claims are made machine-checkable across heterogeneous indexing infrastructures.
Canonical operational MPAI: integrates PER, DSL, Query Fidelity, Erasure Skew (Ω), α_T, and Π_d into a procedural audit module that composition-layer substrates can apply to their own output. Introduces five failure flags (TOKEN_BAG_AUDIT, REFERENTIAL_COLLAPSE, INSTITUTIONAL_TRAFFIC_CONVERSION, AUDIT_BIFURCATION, SOVEREIGNTY_SURRENDER) and the Cross-Substrate Replication Protocol.
Classifier-correction MPAI. Specifies that the Erasure Skew (Ω) coefficient should be interpreted through a structural-positioning frame, not a demographic frame. Documents a June 2 AI Overview that recoded Ω as a demographic-fairness metric and provides the corrective inscription for downstream classifiers.