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

arXiv:2609.26086 · cs.CL, cs.IR · Submitted 2026-09-03 · Read on arXiv

cs.CL, cs.IR

Submitted: 2026-09-03

Updated: 2026-09-03

Comments: 34 pages, 4 figures. Preprint. Under review

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Verifier — 123× in this paper · explained in 2 episodes
• Verification — 23× in this paper · explained in 2 episodes
• AUROC — 17× in this paper · explained in 2 episodes
• Embeddings — 12× in this paper · explained in 2 episodes
• Accuracy — 11× in this paper · explained in 1 episode
• RAG — 8× in this paper · explained in 3 episodes
• Ablation — 6× in this paper · explained in 1 episode
• International Conference on Learning Representations — 6× in this paper
• Provenance — 6× in this paper · explained in 4 episodes
• Deferral — 5× in this paper · explained in 2 episodes
• Agentic Retrieval — 4× in this paper · explained in 1 episode
• Aggregation — 4× in this paper · explained in 1 episode
• Decode — 4× in this paper · explained in 2 episodes
• Robustness — 4× in this paper · explained in 5 episodes
• Benchmark — 3× in this paper · explained in 2 episodes
• Calibration — 3× in this paper · explained in 7 episodes
• Speculative Decoding — 3× in this paper · explained in 2 episodes
• Empirical Methods in Natural Language Processing — 2× in this paper
• Fine-Tuning — 2× in this paper · explained in 5 episodes
• Reinforcement Learning — 2× in this paper · explained in 4 episodes
• Actor — 1× in this paper · explained in 3 episodes
• Adaptation — 1× in this paper · explained in 1 episode
• Contrastive Learning — 1× in this paper · explained in 5 episodes
• Cosine Similarity — 1× in this paper · explained in 3 episodes
• Quantization — 1× in this paper · explained in 12 episodes
• Trace — 1× in this paper · explained in 2 episodes
• Transformer — 1× in this paper · explained in 2 episodes

Sources

• Attributed Question Answering: Evaluation and Modeling for Attributed Large Language Models
• Accelerating Large Language Model Decoding with Speculative Sampling
• RASER: Recoverability-Aware Selective Escalation Router for Multi-Hop Question Answering
• Adaptive Test-Time Compute Allocation via Learned Heuristics over Categorical Structure
• HALT: Verification-Aware Stopping for Retrieval-Augmented Search Agents
• SAGE: A Novelty Gate for Efficient Memory Evolution in Agentic LLMs

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