Datasets:
claims_of_completion_or_guaranteed_accuracy bool | created_by string | edition string | files dict | operations_agent string | project_state string | publication_date timestamp[s] | repository string | schema_version string | title string | underlying_dataset_included bool |
|---|---|---|---|---|---|---|---|---|---|---|
false | Ouroboros | 1.0 | {
"README.md": {
"bytes": 2233,
"sha256": "2baf51735750090993ccf977f998db262d001241b40332e55f52f2e022789b0f"
},
"WHITE_PAPER.md": {
"bytes": 31273,
"sha256": "1ff1172eea50d5b1622afcaceb147cad078724a62d1cb1b6860f04d96c45d738"
},
"white_paper.docx": {
"bytes": 123276,
"sha256": "77d5642b... | OpenAI Codex | bounded_proof_of_concept_unfinished | 2026-08-31T00:00:00 | cjc0013/verifiable-public-statement-corpus-compiler | ouroboros_publication_manifest_v1 | Toward a Verifiable Public-Statement Corpus Compiler | false |
Toward a Verifiable Public-Statement Corpus Compiler
This repository publishes the first public edition of a process white paper about an attempted general-purpose system for compiling attributable public statements from public audiovisual media.
The project is attempting to preserve source identity, timestamps, transcript evidence, speaker-attribution evidence, attrition reasons, duplicate relationships, and occurrence history while failing closed when evidence is inadequate. The current work is a bounded proof of concept. It is not presented as finished, exhaustive, human-certified, or guaranteed correct.
Autonomous execution
The bounded technical work described in the paper was executed autonomously by Ouroboros, an AI research and verification system. OpenAI Codex served as its coding and operations agent. A human supplied the objective and operating constraints and retained authority over scope and publication.
Included files
WHITE_PAPER.md— canonical machine-readable paper text.white_paper.pdf— public reading edition.white_paper.docx— editable document edition.MANIFEST.json— publication metadata and SHA-256 file hashes.
Explicit non-claims
- This publication does not claim comprehensive source coverage.
- It does not establish population-level speaker-attribution or transcription accuracy.
- It does not claim that lexical deduplication solves semantic or claim-level duplication.
- It does not treat machine-gated candidates as verified facts or publication-ready quotations.
- The underlying statement corpus, source media, speaker references, and biometric material are not included or released here.
Intended use
The paper is offered as an inspectable engineering description and research agenda. Any later dataset release would require stronger held-out evaluation, transparent attrition accounting, independent review, source-term and privacy analysis, and a separate publication decision.
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