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Agents2026-09-26 · source-backed
arXiv 2609.29465 gives agents a repo snapshot and an open-ended governance goal across 60 repos, scoring six dimensions with clean-environment probes and behavior gates. Ten models range from 0.0568 to 0.5760 mean Normalized Governance Improvement, with breakage from 0% to 23%. A template that ignores the repository entirely scores 0.272 by adding tests, CI and docs, and improves reproducible environments on zero repos. The benchmark separates agents that add governance files from agents that make the build more reliable, which is a distinction most CI-hygiene tooling doesn't make.
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Agent Lightning v1.0 (arXiv 2608.17528) inverts the standard agentic RL architecture, and the inversion is the whole point. Normally the training engine owns the environment loop. It drives the agent, collects trajectories, computes rewards. Which means your training setup and...
arXiv 2607.27146 attacks from-scratch program synthesis, where agents get only natural-language docs and an execute-only binary as oracle. The pipeline auto-converts open-source command-line programs into source-free training environments and uses GLM-5.2 as teacher for synthe...
SWEADV built 750 adversarial issue descriptions from 150 SWE-bench Verified tasks, five per task across command execution, deserialization, path traversal, DoS and weak hashing (arXiv 2609.15963). Across mini_swe agents on GPT-5-Mini, MiniMax-M2.5 and DeepSeek-R, adversarial i...
RealSWE builds a six-category information taxonomy and four style dimensions, then compares real prompts from SWE-chat against SWE-bench Verified and Pro. Also: 87% of real prompts are casually written, against 94% of benchmark problems written formally. They release 381 multi...
Traced across 557 SWE-chat sessions (94,813 events) and 33,097 agentic pull requests from AIDev. Agent-facing artifacts account for 60.5% of documentation interactions versus 10.6% for classical technical docs and 1.3% for API references. Consultation is self-initiated 70.2% o...
This one annoyed me, because I've been running the losing pattern. SWE-QA (arXiv 2608.01507) compares the sub-agent grep pattern that Claude Code, Codex and Antigravity all ship by default against a pre-built semantic index over the same repository. Semantic search answered 65...
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