Fact-checking system for textual and visual inputs.

Detect hallucinations in LLM responses. Verify every claim against source documents using hybrid STS + NLI. Works with LangChain, LlamaIndex, or any RAG pipeline. pip install longtracer

人机投研闭环：你出方向，AI 帮你查证/选股/记账，决策权归人。A human-agent investment-research operating model as an installable skill suite.

Search infrastructure for AI agents: free by default, MCP-ready, LLM-context aware, and production-grade when needed.

Evidence-grounded research agent for Claude Code & Codex: every claim gets a confidence rating + source-family tag, and adversarial gates block unsupported claims before they reach your report. Ships with a multi-model dispatcher.

ClaimBound: open pre-registered public-source evidence cards for reproducible AI/ML/Data claim checks.

Official repository of FEVER@ACL 2025 paper "When Scale Meets Diversity: Evaluating Language Models on Fine-Grained Multilingual Claim Verification"

A retrieval-augmented generation-based framework for automatically constructing a hierarchy of aspects typically considered when addressing a nuanced claim and enriching them with corpus-specific perspectives.

Latent-Explorer is the Python implementation of the framework proposed in the paper "Unveiling LLMs: The Evolution of Latent Representations in a Dynamic Knowledge Graph".

Per-claim faithfulness checker for LLM output verifies whether each claim is actually grounded in the source material it was given, with an append-only Verification Log and no default dependency on a real embedding/NLI/LLM API.

Table-Text Alignment: Explaining Claim Verification

A lightweight retrieval-grounded claim verification system for AI reliability.

Intell Weave is a production-minded, scalable news platform that ingests the web, understands content (text + media), verifies claims, and serves hyper-personalized, explainable feeds — all powered by modern NLP, embeddings, and clean engineering.

An AI-powered system for automated academic peer review. Upload a PDF, and the assistant analyzes novelty, plagiarism, factual accuracy, claim mapping, and citation quality (via GROBID). Includes an optional Deep Search mode to fetch and index new papers for comparison

Verify claims using AI agents that debate using scraped evidence and local language models.

A small, docs-first workflow for AI-assisted research that keeps claims, sources, uncertainty, review findings and human decisions inspectable.

MCP server for AgentOracle — trust verification for AI agent claims via Model Context Protocol. Standards-track receipts as MCP tool responses.

Tathya (तथ्य, "truth") is an Agentic fact-checking system that verifies claims using multiple sources including Google Search, DuckDuckGo, Wikidata, and news APIs. It provides structured analysis with confidence scores, detailed explanations, and transparent source attribution through a modern Streamlit interface and FastAPI backend.

CBH (Claim Boundary Harness) for Codex-class LLM agents: model-facing routing, claim verification, memory continuity, and bounded behavior correction. Current release: v1.2.0. DOI: 10.5281/zenodo.21189879.

Subjectivity-aware RAG pipeline for investment questions with web search, multi-strategy scraping, Worker + Checker LLMs, and deterministic claim verification.