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Research2026-07-10 · source-backed
MemSyco-Bench points out that memory benchmarks test whether memories are correctly stored, retrieved, and updated, never whether the retrieved memory should have influenced the decision at all. Its five tasks check whether agents can reject memory as factual evidence, respect its applicable scope, resolve memory-versus-evidence conflicts, track updates, and still use valid memory for personalization. The failure mode is sharp: agents over-align with the user because a stored memory said so, at the cost of being right. Anyone shipping a persistent-memory agent should run this before trusting their retrieval layer.
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A June 26 paper (arXiv:2606.26294) describes a self-improving architecture where the agent and the evaluator that scores it evolve together, specifically to avoid the stagnation of optimizing against a fixed, gameable reward. (arXiv) Anyone building a self-improving harness ha...
An edit cannot un-authorize a permission already granted or un-send a tool request already in flight, and the paper shows an unsafe edit can authorize the same action twice, discard a result the task still needs, or conflict with a call that started before the edit (arXiv 2608...
arXiv 2608.19653 puts agents into 48 tasks requiring improvements to published baselines inside imperfect real research repos under realistic compute budgets. Search-based ARG scaffolding raises GPT-5's per-run success from 9.4% to 33.9% at 4x6h and 49.0% at 2x12h. The integri...
Wu et al. name history reliability as a distinct failure mode: trace entries that stay structurally valid and semantically plausible after they stop being authoritative. On Qwen3-1.7B, polluted history flipped 32.1% of decisions correct under the original trajectory, usually v...
Researchers reviewed public failure-scored trajectories from five web, enterprise-workflow, and desktop-control benchmarks: 10.7% were evaluator false negatives rejecting valid alternative solutions, 4.7% were broken or stale tasks. For the genuine failures, verification/feedb...
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...
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