PrimeSeeker: Capability-Oriented Supervision for Deep Search Agents

arXiv:2609.35816 · cs.CL, cs.AI · Submitted 2026-09-20 · Read on arXiv

cs.CL, cs.AI

Submitted: 2026-09-20

Updated: 2026-09-20

Code: https://github.com/PengLinzhi/PrimeSeeker

Terminology

• Benchmark — 15× in this paper · explained in 2 episodes
• Verification — 12× in this paper · explained in 2 episodes
• Reinforcement Learning — 9× in this paper · explained in 4 episodes
• Accuracy — 7× in this paper · explained in 1 episode
• GRPO — 5× in this paper · explained in 6 episodes
• Provenance — 5× in this paper · explained in 4 episodes
• Redundancy — 5× in this paper · explained in 2 episodes
• Fine-Tuning — 4× in this paper · explained in 5 episodes
• Consistency — 2× in this paper · explained in 3 episodes
• Pruning — 2× in this paper · explained in 4 episodes
• RAG — 2× in this paper · explained in 3 episodes
• Verifier — 2× in this paper · explained in 2 episodes
• Actor — 1× in this paper · explained in 3 episodes
• Agent Architectures — 1× in this paper · explained in 1 episode
• Agentic Reasoning — 1× in this paper · explained in 1 episode
• Alignment — 1× in this paper · explained in 1 episode
• Benchmarking — 1× in this paper · explained in 3 episodes
• External Validation — 1× in this paper · explained in 2 episodes
• Grounding — 1× in this paper · explained in 3 episodes
• LLM-as-a-Judge — 1× in this paper · explained in 3 episodes
• Large Language Models (LLMs) — 1× in this paper · explained in 6 episodes
• Non-stationarity — 1× in this paper · explained in 2 episodes
• Reward Shaping — 1× in this paper · explained in 2 episodes
• Robustness — 1× in this paper · explained in 5 episodes

Sources

• REDSearcher: A Scalable and Cost-Efficient Framework for Long-Horizon Search Agents
• DeepSeek-V3.2: Pushing the Frontier of Open Large Language Models
• OpenSeeker-v2: Pushing the Limits of Search Agents with Informative and High-Difficulty Trajectories
• OpenSeeker: Democratizing Frontier Search Agents by Fully Open-Sourcing Training Data
• WebSailor: Navigating Super-human Reasoning for Web Agent
• R1-Searcher: Incentivizing the Search Capability in LLMs via Reinforcement Learning
• Beyond Turn Limits: Training Deep Search Agents with Dynamic Context Window
• MiroThinker-1.7 & H1: Towards Heavy-Duty Research Agents via Verification
• Tongyi DeepResearch Technical Report
• Qwen3 Technical Report
• BrowseComp-ZH: Benchmarking Web Browsing Ability of Large Language Models in Chinese
• Marco DeepResearch: Unlocking Efficient Deep Research Agents via Verification-Centric Design

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