Unverified50% confidenceBenchmarkExact time
Paper 2608.21884 scanned open-source projects and confirmed 217 autonomous loops.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
9/5/2026
First Seen
Valid until: 12/4/2026
Sources
Related Entities
Related Claims
UnverifiedSWE-bench is a large language model programming capability evaluation benchmark introduced by a Princeton University research team in 2023, extracting 2,294 task instances from 12 mainstream Python open-source projects on GitHub.59% similarUnverifiedSWE-Bench was proposed by the Princeton NLP team in 2023, crawling 2,294 real Issue-PR pairs from GitHub and covering 12 mainstream Python projects.59% similarUnverifiedResearchers crawled 315,320 reasoning blocks from public repositories on GitHub and Hugging Face, recovering via decryption 367 pieces of personally identifiable information (PII) and 182 credentials (including 62 API keys, 33 passwords, and several private keys).58% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/859007API
curl https://kongchang.com/api/v1/knowledge/claims/859007MCP
get_claim(id=859007)