arXiv — NLP / Computation & Language · · 3 min read

CoVeR: Coverage-Based Routing of Verifier Calls in Agentic Retrieval

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Computer Science > Computation and Language

arXiv:2609.26086 (cs)
[Submitted on 3 Sep 2026]

Title:CoVeR: Coverage-Based Routing of Verifier Calls in Agentic Retrieval

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Abstract:An agentic retrieval system issues a sequence of search queries and must decide, at each step, whether the evidence collected so far is enough to stop. Delegating that decision to an LLM verifier or a prompt judge makes stopping reliable, but the verifier then reprocesses the growing evidence after every retrieval step, a substantial repeated cost. We show that most of these calls can be skipped without materially changing answer accuracy: a single threshold on a frozen sentence-embedding coverage margin detects the states in which the evidence is still plainly incomplete, and the verifier is called only on the ambiguous remainder, a gate we call CoVeR (Coverage-based Verifier Routing). Across three multi-hop QA benchmarks, with the evaluation protocol fixed before the full-scale run, the CoVeR-gated agent matches the answer accuracy of both the full-budget agent and the always-verify baseline within a fraction of an EM point. It cuts 62-68% of verifier calls, and 93% in a saturated regime. Routers built on evidence counts, lexical overlap, or BM25 relevance, alone or learned in combination, give weaker overall trade-offs, the gate transfers without re-tuning across deciders and agent scales, and its drafter distills into a 921k-parameter head atop the frozen encoder, leaving no LLM in the routing loop. The same signal cannot replace verification: matching a claim is far easier than deciding the claim is supported.
Comments: 34 pages, 4 figures. Preprint. Under review
Subjects: Computation and Language (cs.CL); Information Retrieval (cs.IR)
Cite as: arXiv:2609.26086 [cs.CL]
  (or arXiv:2609.26086v1 [cs.CL] for this version)
  https://doi.org/10.48550/arXiv.2609.26086
arXiv-issued DOI via DataCite (pending registration)

Submission history

From: Daeyoung Roh [view email]
[v1] Thu, 3 Sep 2026 02:09:32 UTC (237 KB)
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