SearchOS-V1: Towards Robust Open-Domain Information-Seeking Agent Collaboration

Published
Source
arXiv
Paper number
649
Field
AI / General
arXiv ID
2607.15257

Key points

  • It formalizes information retrieval as relational schema completion plus citation evidence, so progress can be measured at the entity and attribute level.
  • SOCM, with Frontier Task, Evidence Graph, Coverage Map, and Failure Memory, externalizes implicit progress into an explicit shared state.
  • Pipeline parallel scheduling assigns the next task immediately when an agent slot becomes free, which maximizes utilization.
  • The Search Tool Middleware Harness handles evidence extraction, budget enforcement, and loop detection outside the agent prompt.
  • It reaches 76.5 F1 on GISA, which is 13.4 points better than the strongest baseline, and 80.3 F1 on WideSearch, where it takes first place on every metric.

Paper links

External research summaries. These are not HDATF publications or measured product results.

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