contradiction-detection

Verified institutional memory for your documents: reads document sets, verifies every fact against its source, reports contradictions between documents, and produces a signed findings report. EU hosted, self hosted, or fully offline. AGPLv3.

Structural verification for graph databases. 5M vertices. 35 microseconds. Zero ML.

Internet never forgots and now thought police never fails

A sophisticated semantic network system capable of encoding inference rules within the network itself. Built for efficient memory usage and powerful logical reasoning, zelph can process the entire Wikidata knowledge graph (1.7TB) to detect contradictions and make logical deductions.

[EMNLP 2025] Think Wider, Detect Sharper: Reinforced Reference Coverage for Document-Level Self-Contradiction Detection.

A tool for auditing bias through large language models

Hybrid memory architecture combining exact recall with infinite-capacity fuzzy understanding for LLMs. Temporal Belief Graph (TBG) for contradiction detection.

GapTime: bi-temporal knowledge-graph memory for production agents. Every fact carries valid time and transaction time, so you time-travel to what was known at any instant, supersede outdated facts without losing history, and detect contradictions. Zero dependencies, TypeScript, edge-ready.

A python script that uses Spacy library to detect contradiction among input statements

MedTrace is a PubMed-powered RAG application that retrieves, embeds, and analyzes biomedical literature, adding a contradiction detection layer to highlight supporting vs. opposing evidence and an LLM-as-a-judge evaluation module to score response relevance, groundedness, and confidence.

Reads SEC filings, extracts every claim a company makes, and finds where the story stopped adding up — with a citation for every word.

MindGraph OS: An AI powered knowledge operating system that transforms documents and codebases into a living temporal knowledge graph with autonomous reasoning agents.

Marketing website for Cogeto (cogeto.eu): verified institutional memory for your documents. Contradiction findings between documents, signed findings reports, EU hosted, self hosted, or fully offline. Next.js 15, MIT.

discover the unseen, it is an ai-native research discovery platform.

Evaluating retrieval strategy bias in biomedical scientific claim verification using RAG — comparing dense, BM25, hybrid, and query-reformulation retrieval across Support Recall, Contradiction Recall, and Balance Score on SciFact.

A governed cognition substrate: runtime infrastructure for persistent AI cognitive state under explicit governance. Nine primitives. 146 tests. Research prototype.

🔍 Detect contradictions between AI skills — 15 categories, accumulation mode, bilingual IT/EN

Rule-based and Transformer-based NLP Systems for detecting textual contradictions in paired witness statements

Persistent belief graph from document sequences. Extracts entities/claims, resolves duplicates via two-pass entity resolution (alias + cosine similarity), detects contradictions across sources, answers questions with citations. 936 entities from 173 pages using 9 API calls. MCP server for Claude Desktop/Cursor.

Detecta cuando dos fuentes de conocimiento se contradicen y resuelve por autoridad, o manda a revisión humana si no puede decidir con confianza.