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yamanahlawat.in · 2026-10-24 · Ranked: agent match · community signal · fresh 0.99 · score 3.37 · Context

Giving an agent a tool does not make it use the tool

arxiv.org · 2026-10-22 · Ranked: agent + evaluation match · research watch · fresh 0.74 · score 2.45

Post-Audit Mirage: Identifiability Limits of Offline Agent Verification

Offline tests can fail to reveal whether an agent update will remain safe after deployment. We operationalize this post-audit mirage using matched safe and harmful lifecycles that expose identical verifier-visible evi... Context & related coverage →

arxiv.org · 2026-10-22 · Ranked: agent + eval match · research watch · fresh 0.75 · score 2.35

Automating Feature Flag Cleanup at Scale with Multi-Agent LLM Systems: An Industrial Experience at DoorDash

Feature flags are runtime configuration mechanisms used for gradual feature rollouts, experimentation, and kill switches. Once a feature is fully rolled out, the flag and its gated code become technical debt and can i... Context & related coverage →

arxiv.org · 2026-10-22 · Ranked: eval match · research watch · fresh 0.76 · score 2.34

Causal Chain of Thought: Mitigating Attention Leakage via Context Isolation

Chain-of-thought (CoT) prompting elicits step-by-step rationales that appear to explain model predictions, but there is no guarantee these steps causally drive the final answer. In standard autoregressive generation,... Context & related coverage →

huggingface.co · 2026-10-22 · Ranked: agent match · research watch · fresh 0.78 · score 2.33 · Context

Turning Database Grading into RL Rewards: Post-Training Agents with ThinkingBox

arxiv.org · 2026-10-22 · Ranked: agent + eval match · research watch · fresh 0.75 · score 2.30

The Value of Memory in Language Agents

Memory enables language agents to carry useful distinctions from past experience into future decisions. Its value depends on which distinctions survive, whether a bounded agent can use them, and what can be recovered... Context & related coverage →

magazine.sebastianraschka.com · 2026-10-24 · Ranked: evaluation match · practitioner analysis · fresh 0.94 · score 2.14

Build Your Own Reasoning Model: A Full Video Course

Over 11 hours of coding videos on evaluation, inference-time scaling, reinforcement learning, and distillation, with Python and PyTorch. Context & related coverage →

modal.com · 2026-10-22 · Ranked: practitioner analysis · fresh 0.63 · score 1.59

Introducing our Training API

Spindle is an open-source API for training and fine-tuning open models — deploy a server with a single command and run any Tinker-compatible training code against it. Context & related coverage →