Unverified50% confidenceSolutionExact time
Each task in SWE-Race is scored by the project's own test cases, runs in a container without network connectivity, and the repository is trimmed to a single commit to prevent retrieving fixes from git history.
1
Sources
50%
Confidence
Long-term
Relevance
10/6/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedIn coding capability benchmarks such as SWE-bench, competing systems typically need to autonomously complete the full workflow of reading the codebase, understanding the issue, locating files, modifying code, and running tests.69% similarUnverifiedThe team proposed adding a dedicated test that enumerates each link in the chain by name, asserting that each exists in the registration path, actually runs, and fails when its test target is disabled.68% similarUnverifiedSWE-Race is an AI programming benchmark targeting concurrency bugs, extracting 188 real concurrency defects from merged PRs across approximately 100 Python projects.67% similarUnverifiedHaving a model responsible for writing harness code that conforms to the target library's interface and analyzing crash stack traces is the most labor-intensive bottleneck in current fuzzing workflows.66% similarUnverifiedSWE-bench uses an end-to-end evaluation model: given a GitHub issue, the agent operates autonomously on the code repository, with the sole criterion being whether it can pass the test cases corresponding to that issue.66% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/980430API
curl https://kongchang.com/api/v1/knowledge/claims/980430MCP
get_claim(id=980430)