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arxiv.org · 2026-10-28 · Ranked: agent + eval match · research watch · fresh 0.79 · score 2.59

Think Before You Act: Decision Gate for LLM Agents

LLM agents increasingly perform consequential actions through external tools, yet their proposed actions are often executed without independent verification of policy compliance or task completion. We introduce JevAct... Context & related coverage →

arxiv.org · 2026-10-28 · Ranked: agentic + eval match · research watch · fresh 0.83 · score 2.59

Routed Continual Learning

Agents deployed at scale repeatedly encounter related problems, and it is natural to let them learn from each other's experience rather than starting over each time. Unfortunately, there is no single way to retain tha... Context & related coverage →

arxiv.org · 2026-10-28 · Ranked: evaluation match · research watch · fresh 0.79 · score 2.59

Cross-Primitive Consistency in Jev

Jev enables efficient decision-making with large language models (LLMs) through typed querying primitives, allowing the same semantic state to be expressed in different formats, such as binary and multiple-choice quer... Context & related coverage →

arxiv.org · 2026-10-28 · Ranked: agent + eval match · research watch · fresh 0.79 · score 2.48

CALM: Conflict-Aware Lifecycle Memory Governance for Long-Horizon Language Agents

A memory can be outdated for present-day reasoning yet indispensable for reconstructing the past. Relevance-based retrieval overlooks this tension: semantic relevance, evidence-grounded validity, and query-specific el... Context & related coverage →

arxiv.org · 2026-10-28 · Ranked: agentic match · research watch · fresh 0.83 · score 2.46

Causal Attention on CPU: A Cache-Aware and Load-Balanced Scheduling Kernel for Prefill

Agentic AI drives significant productivity gains across diverse domains, but concurrent long-context prefills from multiple agents can saturate GPU compute resources. Although CPUs offer a viable alternative, existing... Context & related coverage →

epoch.ai · 2026-10-29 · Ranked: community signal · fresh 0.94 · score 2.44 · Context

Open-weight AI models can exploit the patch gap

databricks.com · 2026-10-29 · Ranked: cloud platform update · fresh 0.94 · score 2.20

Announcing General Availability of Real-Time Mode for Spark Declarative Pipelines on Databricks

We introduced Real-Time Mode (RTM) last year which enabled customers to build low-latency, operational use cases... Context & related coverage →

deepmind.google · 2026-10-28 · Ranked: frontier engineering · fresh 0.82 · score 1.79 · Context

Gemini 4 Carbon: Our next frontier model

langchain.com · 2026-10-28 · Ranked: agent match · practitioner analysis · fresh 0.67 · score 1.66

How to Build Proactive, Always-On Agents with the Schedules SDK in Managed Deep Agents

Most proactive agents run on a simple cron. Learn what scheduled runs unlock, from memory to smart triage, and how to add them to Managed Deep Agents. Context & related coverage →

interconnects.ai · 2026-10-28 · Ranked: practitioner analysis · fresh 0.70 · score 1.41

Artificial Analysis v5 and the benchmarker's dilemma

A sort of review of the benchmarking industry and what's missing. Context & related coverage →

openai.com · 2026-10-28 · Ranked: agentic + codex match · frontier engineering · fresh 0.79 · score 1.25

Legora is building the agentic operating system for legal work

See how Legora uses OpenAI models, ChatGPT, and Codex to accelerate legal workflows, expand contract analysis, and free lawyers to focus on higher-value work. Context & related coverage →

openai.com · 2026-10-28 · Ranked: frontier engineering · fresh 0.79 · score 1.22

The future of the firm

How AI might enter the org chart—beneath, beside, and between us. Context & related coverage →