Unverified50% confidenceFactExact time
An arXiv study (arXiv:2609.27064v1) decomposes the joint score of automated fact-checking systems into two contributing sources: answer quality and evidence retrieval.
1
Sources
50%
Confidence
Long-term
Relevance
9/24/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedAn arXiv study (arXiv:2609.26945v1) proposed a sentence-level evaluation benchmark to test the ability of large language models to identify legal interpretation canons.79% similarUnverifiedA study published on arXiv (arXiv:2609.15995) built a unified inference gateway that runs the same evaluation suite for ten external auditing tools across a shared panel of ten frontier models.76% similarUnverifiedarXiv's moderation system is composed of automated screening tools and approximately 180 volunteer moderators; the purpose of moderation is to ensure submissions look like serious academic work rather than to judge quality.72% similarVerifiedA study published on arXiv proposes using dominance properties in hypergraphs to perform extractive summarization of single documents.71% similarUnverifiedA study on arXiv (arXiv:2609.04300v1) proposes a machine learning-based data-optimized contingency screening method for power system security assessment.71% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/946271API
curl https://kongchang.com/api/v1/knowledge/claims/946271MCP
get_claim(id=946271)