/claim #17 @algora-pbc /claim #17

Summary

Adds a distinct multilingual-entity-alias-guard/ slice for Scientific Knowledge Graph Integration.

The guard normalizes multilingual scientific mentions before they become graph nodes, entity-page aliases, or recommendation signals. It accepts trusted translated aliases only when numeric confidence evidence is present, preserves original language tags, normalizes language-tag casing plus underscore and hyphen regional subtags for lookup, emits JSON-LD/schema.org-style entity packets, holds homographs, false friends, same-language alias collisions, extractor-candidate/alias conflicts, regional-tag homographs, malformed top-level corpus packets, malformed alias evidence, malformed mention entries or mention text, and mixed-script Latin-language lookalikes including lowercase Greek or Cyrillic confusables for curator review, suppresses low-confidence or missing-confidence aliases before graph recommendations are shown, and handles sparse or malformed ontology/corpus exports without runtime failures when corpus shape, localized names, mentions, or homograph policies are omitted or malformed.

Hardening Updates

• 44c44c3: malformed top-level corpus packets such as evaluateAliasGuard(null) now emit a high-priority malformed-corpus-packet curator hold and review-multilingual-malformed-corpus action instead of crashing at corpus.entities before graph evidence is produced.
• Added malformed-corpus-packet.json and refreshed the generated Markdown evidence so reviewers can inspect the held malformed-corpus path directly.
• Malformed mention rows such as mentions: [null] now emit malformed-mention-entry curator holds with high-priority review-multilingual-malformed-mention actions instead of crashing before graph packets are produced.
• Malformed localized-name evidence is omitted from alias lookup and JSON-LD alternate names, with aliasEvidenceIssues preserved in the reviewer packet instead of crashing alias indexing.
• Malformed mention text values emit malformed-mention-text curator holds with high-priority review-multilingual-malformed-mention actions instead of crashing normalization or reaching recommendation-safe IDs.
• Extractor candidate IDs that disagree with trusted multilingual alias lookup are held for curator review instead of silently overriding either signal.
• Same-language translated alias collisions are held for curator review instead of silently attaching a mention to the wrong canonical entity.
• Unicode NFKC normalization and whitespace collapsing prevent trusted translated aliases from being suppressed because of composed/decomposed accents or spacing differences.
• Language-tag casing is normalized for alias lookup while the original tag remains preserved in the decision packet.
• Regional language tags such as es-MX and underscore tags such as es_MX fall back to base-language alias and homograph policy while preserving the original tag.
• Missing or non-numeric confidence evidence suppresses candidate alias recommendations instead of allowing an unproven canonical entity mapping.
• Mixed-script Latin-language aliases with Cyrillic or Greek lookalike characters are held for curator review before graph edges or recommendations are produced.
• Sparse ontology/corpus exports emit deterministic empty review or entity-alias evidence when localizedNames, mentions, or homographs are omitted, instead of throwing before curator policy can run.

Non-overlap

This is scoped to multilingual scientific alias quality before graph nodes and recommendations are produced. It does not duplicate broad entity extraction/navigation, ontology deprecation or synonym migration, recommendation visibility/diversity, geospatial provenance, organism/strain boundaries, clinical trial, biological accession, software runtime, protocol deviation, sample custody, or temporal validity guards.

Validation

• Latest malformed top-level corpus regression failed before implementation with TypeError: Cannot read properties of null (reading 'entities') when evaluateAliasGuard(null) ran before graph packet generation.
• Prior malformed-row regression failed before implementation with TypeError: Cannot read properties of null (reading 'language') when mentions contained a null row.
• Earlier red regressions covered malformed localized-name evidence and malformed mention text crashes before implementation.
• cd multilingual-entity-alias-guard && npm test passed: 22 tests.
• cd multilingual-entity-alias-guard && npm run check passed test, demo, and video generation.
• node --check passed for index.js, demo.js, and test.js.
• Parsed all seven generated JSON packets successfully, including malformed-corpus-packet.json.
• ffprobe verified multilingual-entity-alias-guard/reports/demo.mp4 as H.264, 1280x720, 4s, 30fps, 120 frames, 50,413 bytes.
• git diff --check and git diff --cached --check passed; Git only reported Windows line-ending normalization warnings before staging.
• Staged allowlist validation confirmed all staged paths were under multilingual-entity-alias-guard/.
• Focused payout/contact, credential, and token scan returned no matches.
• GitHub PR merge state after push: CLEAN; no check contexts are reported for this branch.

Demo Artifacts

• multilingual-entity-alias-guard/reports/alias-guard-packet.json
• multilingual-entity-alias-guard/reports/sparse-alias-guard-packet.json
• multilingual-entity-alias-guard/reports/candidate-alias-conflict-packet.json
• multilingual-entity-alias-guard/reports/malformed-alias-evidence-packet.json
• multilingual-entity-alias-guard/reports/malformed-mention-text-packet.json
• multilingual-entity-alias-guard/reports/malformed-mention-entry-packet.json
• multilingual-entity-alias-guard/reports/malformed-corpus-packet.json
• multilingual-entity-alias-guard/reports/alias-guard-report.md
• multilingual-entity-alias-guard/reports/summary.svg
• multilingual-entity-alias-guard/reports/demo.mp4

Synthetic data only. No credentials, private corpora, live ontology calls, search indexes, recommendation systems, or external APIs are used.

AI-assisted with OpenAI Codex; I reviewed and locally verified the diff before submitting.