BrowseComp

Timeline

1. Oct 16, 2026 · Open-source release · 5 sources
   Welcome Beam: a 501B open model you can own, customize, and scale
   Beam is focused on coding and agentic use cases.
2. Oct 15, 2026 · Research paper · 1 source
   KnowGPO: Knowledge-Grouped Policy Optimization for Search Agents
   We propose KnowGPO, a reinforcement learning framework that aligns trajectories by the task-relevant knowledge they have acquired rather than by their surface observations.
3. Oct 15, 2026 · Research paper · 1 source
   HTN-Orchestrate: A Hierarchical Task Network Framework for Multi-Agent Orchestration
   Orchestrating multiple agents on a complex task requires reconciling local subtask execution with global task planning.
4. Oct 15, 2026 · Research paper · 2 sources
   Mosaic: Multi-Session Agentic Reinforcement Learning
   Therefore, we introduce Multi-Session Agentic Reinforcement Learning, a more general setting that supports an arbitrary number of sessions within a trajectory.
5. Oct 13, 2026 · Research paper · 2 sources
   Pack Light, CarryOn: Building Object-Oriented Context for Long-Horizon Agents
   In this paper, we introduce CarryOn, an object-oriented context runtime that organizes continuation around reusable task objects.
6. Oct 12, 2026 · Research paper · 1 source
   Avoiding What Your Teacher Already Knows: Entity Familiarity for Deep-Search Distillation
   We first introduce Evidence-Verified Entity Familiarity (EVF), which estimates familiarity by verifying a teacher-generated factual brief against online evidence.
7. Oct 11, 2026 · Opinion / analysis · 1 source
   Teaching Agents to Search with NVIDIA Data Designer — Dhruv Nathawani, NVIDIA
   Dhruv Nathawani uses that funnel to explain how NVIDIA builds synthetic data that teaches a model to search, rather than answer from memory.
8. Oct 10, 2026 · Research paper · 2 sources
   PANINI-DR: Controlled Deep Research through Generative Semantic Workspaces
   We introduce PANINI-DR, a multi-agent harness that separates coordination of the overall investigation from the research and verification of individual subquestions.
9. Oct 8, 2026 · Research paper · 2 sources
   REMORY: Learning Residual Memory for Context Compaction
   We introduce REMORY, a neural memory network that supplements the summary with a bounded sequence of soft memory tokens.

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