mathmentorAI/claim-layer: v0.3.0 — Evidence Intelligence core with pluggable embeddings
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| Formato: | Recurso digital |
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2026
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| _version_ | 1866902090491625472 |
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| author | mathmentorAI |
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| contents | <h2>ClaimLayer v0.3.0</h2> <p>First public release of the Evidence Intelligence core.</p> <h3>What's included</h3> <p><strong>Core pipeline</strong></p> <ul> <li>Semantic pipeline with fact extraction, truth resolution, and contradiction detection</li> <li><code>resolve_truth()</code> — deterministic confidence scoring from conflicting evidence</li> <li>v0.3 claim normalization schema</li> </ul> <p><strong>Public API</strong></p> <ul> <li><code>claimlayer</code> top-level package with clean public surface</li> <li>Pluggable embedding provider interface (<code>EmbeddingProvider</code>)</li> <li>Zero-config quickstart via <code>SimpleHashEmbeddingProvider</code> — no API keys required</li> </ul> <p><strong>Architecture</strong></p> <ul> <li>Fact-level unit of truth (not claim-level)</li> <li>Source-level provenance tracking</li> <li>Contradictions as first-class objects</li> <li>Mathematical confidence computation</li> </ul> <p><strong>Licensing</strong></p> <ul> <li>Business Source License 1.1 (BSL 1.1)</li> <li>Free for non-commercial and internal use</li> <li>Commercial use requires a license — see LICENSE for details</li> </ul> <h3>Known limitations (tracked for v0.4+)</h3> <ul> <li>Evidence overcounting assumes noisy-OR independence (may overestimate confidence)</li> <li>Flat confidence model — no evidence weighting layer yet</li> <li>Value grouping is lexical-only (semantic canonicalization deferred to phase 2)</li> </ul> <blockquote> <p>ClaimLayer is the open-source implementation of the Evidence Intelligence paradigm: a layer that transforms unstructured text into structured, auditable, contradiction-aware knowledge.</p> </blockquote> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_19489456 |
| institution | Zenodo |
| language | |
| publishDate | 2026 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | mathmentorAI/claim-layer: v0.3.0 — Evidence Intelligence core with pluggable embeddings mathmentorAI <h2>ClaimLayer v0.3.0</h2> <p>First public release of the Evidence Intelligence core.</p> <h3>What's included</h3> <p><strong>Core pipeline</strong></p> <ul> <li>Semantic pipeline with fact extraction, truth resolution, and contradiction detection</li> <li><code>resolve_truth()</code> — deterministic confidence scoring from conflicting evidence</li> <li>v0.3 claim normalization schema</li> </ul> <p><strong>Public API</strong></p> <ul> <li><code>claimlayer</code> top-level package with clean public surface</li> <li>Pluggable embedding provider interface (<code>EmbeddingProvider</code>)</li> <li>Zero-config quickstart via <code>SimpleHashEmbeddingProvider</code> — no API keys required</li> </ul> <p><strong>Architecture</strong></p> <ul> <li>Fact-level unit of truth (not claim-level)</li> <li>Source-level provenance tracking</li> <li>Contradictions as first-class objects</li> <li>Mathematical confidence computation</li> </ul> <p><strong>Licensing</strong></p> <ul> <li>Business Source License 1.1 (BSL 1.1)</li> <li>Free for non-commercial and internal use</li> <li>Commercial use requires a license — see LICENSE for details</li> </ul> <h3>Known limitations (tracked for v0.4+)</h3> <ul> <li>Evidence overcounting assumes noisy-OR independence (may overestimate confidence)</li> <li>Flat confidence model — no evidence weighting layer yet</li> <li>Value grouping is lexical-only (semantic canonicalization deferred to phase 2)</li> </ul> <blockquote> <p>ClaimLayer is the open-source implementation of the Evidence Intelligence paradigm: a layer that transforms unstructured text into structured, auditable, contradiction-aware knowledge.</p> </blockquote> |
| title | mathmentorAI/claim-layer: v0.3.0 — Evidence Intelligence core with pluggable embeddings |
| url | https://doi.org/10.5281/zenodo.19489456 |