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SearchAtlas: Analyzing Agentic Search Strategies via Evidential Query Graphs

arxiv.org/abs/2609.10901

quality89

Updated 6 h ago · first seen 11 Sept 2026

paper_01M294G4DHXHXD99VR3HFZZQAE

Published
11 Sept 2026
T1 · 6 h ago
arXiv
2609.10901
T1 · 6 h ago
Category
cs.CL
T1 · 6 h ago

Abstract

LLM search agents are often evaluated on final-answer accuracy, overlooking the process. Analyzing a search strategy requires understanding how credible evidence is retrieved to address question constraints. This valuable information is buried in raw search trajectories that are long and difficult to parse. We introduce SearchAtlas, a framework that converts search trajectories into structured graphs whose edges represent how evidence is propagated across the reasoning trace, from the query that retrieves it to the final answer. Our automated parsing pipeline achieves a mean edge F1 of 86.0% against human-annotated graphs and remains consistent across repeated runs. We analyze five search agents on three benchmarks, revealing systematic differences in search scale and evidence aggregation. SearchAtlas exposes fragmented answer support, question constraints that do not reach the answer, and unverified parametric knowledge entering the response. These process failures are strongly associated with incorrect answers, even more so than an LLM judge given either the raw trajectory or the ordered query list, suggesting that the constructed graphs provide useful interpretability. Moreover, an audit of cases in which process-diagnostic scores disagree with final-answer correctness shows that they capture information not reducible to answer accuracy.

Authors 6

Jiacheng Sang, Mengyuan Li, Sanxing Chen, Yukun Huang, Yu Feng, Bhuwan Dhingra

Specification

Official page

Source:arXiv (Atom API + RSS)T1observed 6 h agohigh

Arxiv announce type
new

Source:arXiv (Atom API + RSS)T1observed 6 h agohigh

arXiv id
2609.10901

Source:arXiv (Atom API + RSS)T1observed 6 h agohigh

Categories
cs.CL

Source:arXiv (Atom API + RSS)T1observed 6 h agohigh

PDF

Source:arXiv (Atom API + RSS)T1observed 6 h agohigh

Primary category
cs.CL

Source:arXiv (Atom API + RSS)T1observed 6 h agohigh

Published
11 Sept 2026

Source:arXiv (Atom API + RSS)T1observed 6 h agohigh

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Provenance

Attributed facts

9

Source tiers

T19

Freshest observation

6 h ago

Conflicts

None