Fetch-then-Explore: Decoupling Selection from Extraction over a Persistent Workspace for Search Agents | Paper Citation Record

Observation 1052e376-7f77-41da-87d8-26e6064ba089 · outbound

This paper cites VideoSearch-R1: Iterative Video Retrieval and Reasoning via Soft Query Refinement.

Fetch-then-Explore: Decoupling Selection from Extraction over a Persistent Workspace for Search Agents VideoSearch-R1: Iterative Video Retrieval and Reasoning via Soft Query Refinement

Reference 1

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Observation ec33960e-6516-43dc-84e2-ad76073c9bd4 · outbound

This paper cites Multi-Turn Agentic Scientific Literature Search via Workflow Induction.

Fetch-then-Explore: Decoupling Selection from Extraction over a Persistent Workspace for Search Agents Multi-Turn Agentic Scientific Literature Search via Workflow Induction

Reference 2

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Observation 49dc5e71-d492-48e7-91c4-94fe365a9d57 · outbound

This paper cites Can LLM-as-a-Judge Reliably Verify Rubrics in Agentic Scenarios?.

Fetch-then-Explore: Decoupling Selection from Extraction over a Persistent Workspace for Search Agents Can LLM-as-a-Judge Reliably Verify Rubrics in Agentic Scenarios?

Reference 3

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Observation 6739453e-1066-48ad-9671-c31cfccb2e76 · outbound

This paper cites KbSD: Knowledge Boundary aware Self-Distillation for Behavioral Calibration in Agentic Search.

Fetch-then-Explore: Decoupling Selection from Extraction over a Persistent Workspace for Search Agents KbSD: Knowledge Boundary aware Self-Distillation for Behavioral Calibration in Agentic Search

Reference 4

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Observation 0a2daf89-150b-4e7c-a35c-fcb391fdde14 · outbound

This paper cites When Search Agents Should Ask: DiscoBench for Clarification-Aware Deep Search.

Fetch-then-Explore: Decoupling Selection from Extraction over a Persistent Workspace for Search Agents When Search Agents Should Ask: DiscoBench for Clarification-Aware Deep Search

Reference 5

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Observation 6733f579-4277-409d-bbe2-bb372f55ca8c · outbound

This paper cites ProMSA:Progressive Multimodal Search Agents for Knowledge-Based Visual Question Answering.

Fetch-then-Explore: Decoupling Selection from Extraction over a Persistent Workspace for Search Agents ProMSA:Progressive Multimodal Search Agents for Knowledge-Based Visual Question Answering

Reference 6

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Observation 7835ade9-5e73-46ab-a0af-a9419e790218 · outbound

This paper cites Lacuna: A Research Map for Machine Learning.

Fetch-then-Explore: Decoupling Selection from Extraction over a Persistent Workspace for Search Agents Lacuna: A Research Map for Machine Learning

Reference 7

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Observation 320e0c74-05a8-4db0-b957-c6a270dea960 · outbound

This paper cites MIRROR: Novelty-Constrained Memory-Guided MCTS Red-Teaming for Agentic RAG.

Fetch-then-Explore: Decoupling Selection from Extraction over a Persistent Workspace for Search Agents MIRROR: Novelty-Constrained Memory-Guided MCTS Red-Teaming for Agentic RAG

Reference 8

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Observation 3d714636-badf-4b55-8b52-8cd21d89b384 · outbound

This paper cites Heuresis: Search Strategies for Autonomous AI Research Agents Across Quality, Diversity and Novelty.

Fetch-then-Explore: Decoupling Selection from Extraction over a Persistent Workspace for Search Agents Heuresis: Search Strategies for Autonomous AI Research Agents Across Quality, Diversity and Novelty

Reference 9

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Observation 80722244-ddd1-454e-9359-0034a7f7ab91 · outbound

This paper cites 2026 , archivePrefix =.

Fetch-then-Explore: Decoupling Selection from Extraction over a Persistent Workspace for Search Agents 2026 , archivePrefix =

Reference 10

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Observation 4946ee55-6725-4475-ad09-daf9ba3619e3 · outbound

This paper cites Breaking the Evaluation Paradox: Evaluating High-Entropy Search with Computationally Irreducible Constraints.

Fetch-then-Explore: Decoupling Selection from Extraction over a Persistent Workspace for Search Agents Breaking the Evaluation Paradox: Evaluating High-Entropy Search with Computationally Irreducible Constraints

Reference 11

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Observation 858ba0ce-6272-47db-88c7-3692b337ffb5 · outbound

This paper cites PaperClaw: Harnessing Agents for Autonomous Research and Human-in-the-Loop Refinement.

Fetch-then-Explore: Decoupling Selection from Extraction over a Persistent Workspace for Search Agents PaperClaw: Harnessing Agents for Autonomous Research and Human-in-the-Loop Refinement

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-04T15:12:55.518323Z

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Observation 95552ece-1df6-4612-a321-e47bf8d7f366 · outbound

This paper cites Novelty-Aware Agentic Retrieval: Comparing Research Contributions Through Structured Multi-Step Reasoning.

Fetch-then-Explore: Decoupling Selection from Extraction over a Persistent Workspace for Search Agents Novelty-Aware Agentic Retrieval: Comparing Research Contributions Through Structured Multi-Step Reasoning

Reference 13

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Observation aa975cfe-3f05-498e-81f6-87873e7f7237 · outbound

This paper cites Agentic Symbolic Search: Characterizing PDEs Beyond Hand-crafted Expressions, Meshes, and Neural Networks.

Fetch-then-Explore: Decoupling Selection from Extraction over a Persistent Workspace for Search Agents Agentic Symbolic Search: Characterizing PDEs Beyond Hand-crafted Expressions, Meshes, and Neural Networks

Reference 14

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Observation a553009c-aad2-46e3-aff4-4d0598fc6df4 · outbound

This paper cites ScholarQuest: A Taxonomy-Guided Benchmark for Agentic Academic Paper Search in Open Literature Environments.

Fetch-then-Explore: Decoupling Selection from Extraction over a Persistent Workspace for Search Agents ScholarQuest: A Taxonomy-Guided Benchmark for Agentic Academic Paper Search in Open Literature Environments

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-04T15:12:55.527253Z

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Observation 37787d46-7905-47b4-b789-29aeb3152830 · outbound

This paper cites MCompassRAG: Topic Metadata as a Semantic Compass for Paragraph-Level Retrieval.

Fetch-then-Explore: Decoupling Selection from Extraction over a Persistent Workspace for Search Agents MCompassRAG: Topic Metadata as a Semantic Compass for Paragraph-Level Retrieval

Reference 16

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Observation ba03f290-5887-43ef-aeee-a52d2eeecabb · outbound

This paper cites Beyond Parallel Sampling: Diverse Query Initialization for Agentic Search.

Fetch-then-Explore: Decoupling Selection from Extraction over a Persistent Workspace for Search Agents Beyond Parallel Sampling: Diverse Query Initialization for Agentic Search

Reference 17

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Observation 46c9ca66-2e2f-499a-a635-abf822002dd3 · outbound

This paper cites DRFLOW: A Deep Research Benchmark for Personalized Workflow Prediction.

Fetch-then-Explore: Decoupling Selection from Extraction over a Persistent Workspace for Search Agents DRFLOW: A Deep Research Benchmark for Personalized Workflow Prediction

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-04T15:12:55.535669Z

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Observation 16712d9b-0abe-431e-986a-a7a177c5c051 · outbound

This paper cites Beyond Monolingual Deep Research: Evaluating Agents and Retrievers with Cross-Lingual BrowseComp-Plus.

Fetch-then-Explore: Decoupling Selection from Extraction over a Persistent Workspace for Search Agents Beyond Monolingual Deep Research: Evaluating Agents and Retrievers with Cross-Lingual BrowseComp-Plus

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-04T15:12:55.538350Z

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Observation 724aa48e-b92a-42ac-a608-c5ca5584e7f4 · outbound

This paper cites 2026 , archivePrefix =.

Fetch-then-Explore: Decoupling Selection from Extraction over a Persistent Workspace for Search Agents 2026 , archivePrefix =

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-04T15:12:55.541010Z

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Observation 747896a4-4022-4729-8a73-1f54f8e9da04 · outbound

This paper cites 2026 , archivePrefix =.

Fetch-then-Explore: Decoupling Selection from Extraction over a Persistent Workspace for Search Agents 2026 , archivePrefix =

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-04T15:12:55.543616Z

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Observation 47ab27d2-8b9d-40ac-a271-3c051b880e11 · outbound

This paper cites 2026 , archivePrefix =.

Fetch-then-Explore: Decoupling Selection from Extraction over a Persistent Workspace for Search Agents 2026 , archivePrefix =

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-04T15:12:55.546217Z

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Observation 1f40762c-27cc-4249-b68d-54efbf198170 · outbound

This paper cites Self-Evolving Deep Research via Joint Generation and Evaluation.

Fetch-then-Explore: Decoupling Selection from Extraction over a Persistent Workspace for Search Agents Self-Evolving Deep Research via Joint Generation and Evaluation

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-04T15:12:55.548942Z

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Observation 3a7144fb-3205-4d77-9d55-712a3b6a9116 · outbound

This paper cites ARBOR: Online Process Rewards via a Reusable Rubric Buffer for Search Agents.

Fetch-then-Explore: Decoupling Selection from Extraction over a Persistent Workspace for Search Agents ARBOR: Online Process Rewards via a Reusable Rubric Buffer for Search Agents

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-04T15:12:55.551788Z

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Observation a6ef2b82-acfa-47ce-804d-a6049effec00 · outbound

This paper cites Harness-1: Reinforcement Learning for Search Agents with State-Externalizing Harnesses.

Fetch-then-Explore: Decoupling Selection from Extraction over a Persistent Workspace for Search Agents Harness-1: Reinforcement Learning for Search Agents with State-Externalizing Harnesses

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-04T15:12:55.554565Z

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Observation f4a3cdbc-c224-4507-a2ce-b51d0f2e3088 · outbound

This paper cites TVIR: Building Deep Research Agents Towards Text--Visual Interleaved Report Generation.

Fetch-then-Explore: Decoupling Selection from Extraction over a Persistent Workspace for Search Agents TVIR: Building Deep Research Agents Towards Text--Visual Interleaved Report Generation

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-04T15:12:55.557340Z

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Observation 52111dd3-7d53-42c2-8a8e-8c4deb7fa28d · outbound

This paper cites Deep Research as Rubric for Reinforcement Learning.

Fetch-then-Explore: Decoupling Selection from Extraction over a Persistent Workspace for Search Agents Deep Research as Rubric for Reinforcement Learning

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-04T15:12:55.560232Z

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Observation 4c9a7b4c-4d81-493a-acf1-a84506c6760d · outbound

This paper cites Masking Stale Observations Helps Search Agents -- Until It Doesn't: A Regime Map and Its Mechanism.

Fetch-then-Explore: Decoupling Selection from Extraction over a Persistent Workspace for Search Agents Masking Stale Observations Helps Search Agents -- Until It Doesn't: A Regime Map and Its Mechanism

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-04T15:12:55.562926Z

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Observation 60c22ded-fae4-438b-87a5-8d0b1c1ff676 · outbound

This paper cites LongTraceRL: Learning Long-Context Reasoning from Search Agent Trajectories with Rubric Rewards.

Fetch-then-Explore: Decoupling Selection from Extraction over a Persistent Workspace for Search Agents LongTraceRL: Learning Long-Context Reasoning from Search Agent Trajectories with Rubric Rewards

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-04T15:12:55.565505Z

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Observation b7fb99a7-f8c9-4283-8ab9-2dc7fcd687d9 · outbound

This paper cites AutoSci: A Memory-Centric Agentic System for the Full Scientific Research Lifecycle.

Fetch-then-Explore: Decoupling Selection from Extraction over a Persistent Workspace for Search Agents AutoSci: A Memory-Centric Agentic System for the Full Scientific Research Lifecycle

Reference 30

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Observation ab15d753-6c50-476b-ae45-1c878a5c8b21 · outbound

This paper cites COMPASS: Cognitive MCTS-Guided Process Alignment for Safe Search Agents.

Fetch-then-Explore: Decoupling Selection from Extraction over a Persistent Workspace for Search Agents COMPASS: Cognitive MCTS-Guided Process Alignment for Safe Search Agents

Reference 31

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Observation a7bf7b0b-6a91-4a61-a944-0a4fc30ae22c · outbound

This paper cites MosaicLeaks:Privacy Risks in Querying-in-the-Open for Deep Research Agents.

Fetch-then-Explore: Decoupling Selection from Extraction over a Persistent Workspace for Search Agents MosaicLeaks:Privacy Risks in Querying-in-the-Open for Deep Research Agents

Reference 32

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Observation 48501089-4b43-4eae-afa9-0c0b0a1018cb · outbound

This paper cites Planner-Centric Reinforcement Learning for Deep Research with Structure-Aware Reward.

Fetch-then-Explore: Decoupling Selection from Extraction over a Persistent Workspace for Search Agents Planner-Centric Reinforcement Learning for Deep Research with Structure-Aware Reward

Reference 33

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Observation 1ded3b95-ae78-4632-96c6-882313b4ff40 · outbound

This paper cites LongDS-Bench: On the Failure of Long-Horizon Agentic Data Analysis.

Fetch-then-Explore: Decoupling Selection from Extraction over a Persistent Workspace for Search Agents LongDS-Bench: On the Failure of Long-Horizon Agentic Data Analysis

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-04T15:12:55.579365Z

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Observation 7d8c7bfa-ec26-4316-bdc2-561d4acb320d · outbound

This paper cites Towards Verifiable Multimodal Deep Research: A Multi-Agent Harness for Interleaved Report Generation.

Fetch-then-Explore: Decoupling Selection from Extraction over a Persistent Workspace for Search Agents Towards Verifiable Multimodal Deep Research: A Multi-Agent Harness for Interleaved Report Generation

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-04T15:12:55.582186Z

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Observation a0900a73-d8ac-4218-9b12-6a861c7e315d · outbound

This paper cites SAAS: Self-Aware Reinforcement Learning for Over-Search Mitigation in Agentic Search.

Fetch-then-Explore: Decoupling Selection from Extraction over a Persistent Workspace for Search Agents SAAS: Self-Aware Reinforcement Learning for Over-Search Mitigation in Agentic Search

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-04T15:12:55.584952Z

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Observation 5ca19be1-64de-4342-8ce8-60c8f729ab0d · outbound

This paper cites Beyond Trajectory Rewards: Step-level Credit Assignment for Agentic Search via Graph Modeling.

Fetch-then-Explore: Decoupling Selection from Extraction over a Persistent Workspace for Search Agents Beyond Trajectory Rewards: Step-level Credit Assignment for Agentic Search via Graph Modeling

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-04T15:12:55.587685Z

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Observation b0287fca-e53a-4f18-b329-c402964f0073 · outbound

This paper cites LiveBrowseComp: Are Search Agents Searching, or Just Verifying What They Already Know?.

Fetch-then-Explore: Decoupling Selection from Extraction over a Persistent Workspace for Search Agents LiveBrowseComp: Are Search Agents Searching, or Just Verifying What They Already Know?

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-04T15:12:55.592946Z

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Observation 73ba6961-f398-4673-9bbd-c3044db0fa32 · outbound

This paper cites Plan Before Search: Search Agents Need Plan.

Fetch-then-Explore: Decoupling Selection from Extraction over a Persistent Workspace for Search Agents Plan Before Search: Search Agents Need Plan

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-04T15:12:55.595577Z

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Observation 9d777446-7757-40dd-8c26-fb05db06111a · outbound

This paper cites Retrieval, Reward, and Training Protocols: What Matters in Training Search Agents?.

Fetch-then-Explore: Decoupling Selection from Extraction over a Persistent Workspace for Search Agents Retrieval, Reward, and Training Protocols: What Matters in Training Search Agents?

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-04T15:12:55.598256Z

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Observation d8b02158-b03b-4fb3-aab3-3a1ffe47df04 · outbound

This paper cites AI Research Agents Narrow Scientific Exploration.

Fetch-then-Explore: Decoupling Selection from Extraction over a Persistent Workspace for Search Agents AI Research Agents Narrow Scientific Exploration

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-04T15:12:55.601047Z

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Observation 3fc12c1c-1ac8-4c2a-bb26-29f28222a601 · outbound

This paper cites ScientistOne: Towards Human-Level Autonomous Research via Chain-of-Evidence.

Fetch-then-Explore: Decoupling Selection from Extraction over a Persistent Workspace for Search Agents ScientistOne: Towards Human-Level Autonomous Research via Chain-of-Evidence

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-04T15:12:55.604045Z

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Observation e4a9c699-ce88-411c-a6ce-a3da2dee42b6 · outbound

This paper cites VeriTrace: Evolving Mental Models for Deep Research Agents.

Fetch-then-Explore: Decoupling Selection from Extraction over a Persistent Workspace for Search Agents VeriTrace: Evolving Mental Models for Deep Research Agents

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-04T15:12:55.607159Z

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Observation 2646a657-42d2-4521-bbc8-9f7279738551 · outbound

This paper cites Can LLMs Time Travel? Enhancing Temporal Consistency in Legal Agentic Search through Reinforcement Learning.

Fetch-then-Explore: Decoupling Selection from Extraction over a Persistent Workspace for Search Agents Can LLMs Time Travel? Enhancing Temporal Consistency in Legal Agentic Search through Reinforcement Learning

Reference 45

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Observation dc64a9e9-7359-48a1-bbc3-1f6386c856e3 · outbound

This paper cites An Interactive Paradigm for Deep Research.

Fetch-then-Explore: Decoupling Selection from Extraction over a Persistent Workspace for Search Agents An Interactive Paradigm for Deep Research

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-04T15:12:55.612638Z

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Observation b3966d9e-7b70-421a-9506-d30cd2f6f560 · outbound

This paper cites QUEST: Training Frontier Deep Research Agents with Fully Synthetic Tasks.

Fetch-then-Explore: Decoupling Selection from Extraction over a Persistent Workspace for Search Agents QUEST: Training Frontier Deep Research Agents with Fully Synthetic Tasks

Reference 47

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Observation 10a3e21c-67ee-4cff-a604-80f57e7bb3c8 · outbound

This paper cites Design and Report Benchmarks for Knowledge Work.

Fetch-then-Explore: Decoupling Selection from Extraction over a Persistent Workspace for Search Agents Design and Report Benchmarks for Knowledge Work

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-04T15:12:55.618735Z

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Observation a51c1d05-78e6-42c9-b88a-21b76e5e6471 · outbound

This paper cites SGR-Bench: Benchmarking Search Agents on State-Gated Retrieval.

Fetch-then-Explore: Decoupling Selection from Extraction over a Persistent Workspace for Search Agents SGR-Bench: Benchmarking Search Agents on State-Gated Retrieval

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-04T15:12:55.621532Z

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Observation 2523ddeb-30cd-45d7-b151-94e9dd7d2332 · outbound

This paper cites SciAtlas: A Large-Scale Knowledge Graph for Automated Scientific Research.

Fetch-then-Explore: Decoupling Selection from Extraction over a Persistent Workspace for Search Agents SciAtlas: A Large-Scale Knowledge Graph for Automated Scientific Research

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-04T15:12:55.624360Z

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Observation fcb55896-0641-4add-b437-13301b4bd4db · outbound

This paper cites DeepWeb-Bench: A Deep Research Benchmark Demanding Massive Cross-Source Evidence and Long-Horizon Derivation.

Fetch-then-Explore: Decoupling Selection from Extraction over a Persistent Workspace for Search Agents DeepWeb-Bench: A Deep Research Benchmark Demanding Massive Cross-Source Evidence and Long-Horizon Derivation

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-04T15:12:55.627208Z

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Observation a9441af4-350c-4712-aeff-8d74bfa6dd7e · outbound

This paper cites AutoResearchClaw: Self-Reinforcing Autonomous Research with Human-AI Collaboration.

Fetch-then-Explore: Decoupling Selection from Extraction over a Persistent Workspace for Search Agents AutoResearchClaw: Self-Reinforcing Autonomous Research with Human-AI Collaboration

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-04T15:12:55.630264Z

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Observation 523576db-bd4b-459c-ad98-19ecad00633b · outbound

This paper cites ClinSeekAgent: Automating Multimodal Evidence Seeking for Agentic Clinical Reasoning.

Fetch-then-Explore: Decoupling Selection from Extraction over a Persistent Workspace for Search Agents ClinSeekAgent: Automating Multimodal Evidence Seeking for Agentic Clinical Reasoning

Reference 53

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Observation e182a7d9-0c82-410c-96fe-4efa8f5a5b55 · outbound

This paper cites Time to REFLECT: Can We Trust LLM Judges for Evidence-based Research Agents?.

Fetch-then-Explore: Decoupling Selection from Extraction over a Persistent Workspace for Search Agents Time to REFLECT: Can We Trust LLM Judges for Evidence-based Research Agents?

Reference 54

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Observation 89c03f4b-e1f6-481c-ad44-a34be4563e1a · outbound

This paper cites Argus: Evidence Assembly for Scalable Deep Research Agents.

Fetch-then-Explore: Decoupling Selection from Extraction over a Persistent Workspace for Search Agents Argus: Evidence Assembly for Scalable Deep Research Agents

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-04T15:12:55.638767Z

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Observation 7a46c703-7d5f-4bd6-9ec9-70a3e85ec6a3 · outbound

This paper cites Is Grep All You Need? How Agent Harnesses Reshape Agentic Search.

Fetch-then-Explore: Decoupling Selection from Extraction over a Persistent Workspace for Search Agents Is Grep All You Need? How Agent Harnesses Reshape Agentic Search

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-04T15:12:55.641719Z

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Observation e3adb3c7-ceaa-4287-98c6-dc92e40a110a · outbound

This paper cites EcoGEO: Trajectory-Aware Evidence Ecosystems for Web-Enabled LLM Search Agents.

Fetch-then-Explore: Decoupling Selection from Extraction over a Persistent Workspace for Search Agents EcoGEO: Trajectory-Aware Evidence Ecosystems for Web-Enabled LLM Search Agents

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-04T15:12:55.644585Z

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Observation 6d96564a-579d-4cbf-8095-d8631b973f71 · outbound

This paper cites AgentDisCo: Towards Disentanglement and Collaboration in Open-ended Deep Research Agents.

Fetch-then-Explore: Decoupling Selection from Extraction over a Persistent Workspace for Search Agents AgentDisCo: Towards Disentanglement and Collaboration in Open-ended Deep Research Agents

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-04T15:12:55.647437Z

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Observation 0453123b-599d-4f3f-bc63-6c90c7460976 · outbound

This paper cites CuSearch: Curriculum Rollout Sampling via Search Depth for Agentic RAG.

Fetch-then-Explore: Decoupling Selection from Extraction over a Persistent Workspace for Search Agents CuSearch: Curriculum Rollout Sampling via Search Depth for Agentic RAG

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-04T15:12:55.650270Z

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Observation aa546181-a684-4383-a3cd-b3cc1ba9e015 · outbound

This paper cites WildClawBench: A Benchmark for Real-World, Long-Horizon Agent Evaluation.

Fetch-then-Explore: Decoupling Selection from Extraction over a Persistent Workspace for Search Agents WildClawBench: A Benchmark for Real-World, Long-Horizon Agent Evaluation

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-04T15:12:55.653112Z

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Observation 8106afc2-dd51-4fb2-bd8c-7e54da9c1cb5 · outbound

This paper cites AutoLLMResearch: Training Research Agents for Automating LLM Experiment Configuration - Learning from Cheap, Optimizing Expensive.

Fetch-then-Explore: Decoupling Selection from Extraction over a Persistent Workspace for Search Agents AutoLLMResearch: Training Research Agents for Automating LLM Experiment Configuration - Learning from Cheap, Optimizing Expensive

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-04T15:12:55.655969Z

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Observation 58b9e1a7-9efd-4abe-a456-039cd589ce6b · outbound

This paper cites Rethinking Agentic Search with Pi-Serini: Is Lexical Retrieval Sufficient?.

Fetch-then-Explore: Decoupling Selection from Extraction over a Persistent Workspace for Search Agents Rethinking Agentic Search with Pi-Serini: Is Lexical Retrieval Sufficient?

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-04T15:12:55.658882Z

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Observation afa9fc38-abee-4b03-a313-4d3666336d15 · outbound

This paper cites RubricEM: Meta-RL with Rubric-guided Policy Decomposition beyond Verifiable Rewards.

Fetch-then-Explore: Decoupling Selection from Extraction over a Persistent Workspace for Search Agents RubricEM: Meta-RL with Rubric-guided Policy Decomposition beyond Verifiable Rewards

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-04T15:12:55.661832Z

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Observation 00efcfbb-e6c2-45cb-bb9d-51b249675be7 · outbound

This paper cites Towards On-Policy Data Evolution for Visual-Native Multimodal Deep Search Agents.

Fetch-then-Explore: Decoupling Selection from Extraction over a Persistent Workspace for Search Agents Towards On-Policy Data Evolution for Visual-Native Multimodal Deep Search Agents

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-04T15:12:55.664537Z

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Observation e21aa058-8d88-4eee-8a5d-9f2972d5d856 · outbound

This paper cites Personalized Deep Research: A User-Centric Framework, Dataset, and Hybrid Evaluation for Knowledge Discovery.

Fetch-then-Explore: Decoupling Selection from Extraction over a Persistent Workspace for Search Agents Personalized Deep Research: A User-Centric Framework, Dataset, and Hybrid Evaluation for Knowledge Discovery

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-04T15:12:55.667256Z

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Observation d3545cc0-fdf7-48c6-b935-0e01a5557a62 · outbound

This paper cites Hypothesis-Driven Deep Research with Large Language Models: A Structured Methodology for Automated Knowledge Discovery.

Fetch-then-Explore: Decoupling Selection from Extraction over a Persistent Workspace for Search Agents Hypothesis-Driven Deep Research with Large Language Models: A Structured Methodology for Automated Knowledge Discovery

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-04T15:12:55.669868Z

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Observation cf37bde2-096c-418d-85c7-9b421d24cfa4 · outbound

This paper cites LoHoSearch: Benchmarking Long-Horizon Search Agents Beyond the Human Difficulty Ceiling.

Fetch-then-Explore: Decoupling Selection from Extraction over a Persistent Workspace for Search Agents LoHoSearch: Benchmarking Long-Horizon Search Agents Beyond the Human Difficulty Ceiling

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-04T15:12:55.672488Z

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Observation 94f5b912-a562-4f0b-9186-0796ea65f180 · outbound

This paper cites EvoBrowseComp: Benchmarking Search Agents on Evolving Knowledge.

Fetch-then-Explore: Decoupling Selection from Extraction over a Persistent Workspace for Search Agents EvoBrowseComp: Benchmarking Search Agents on Evolving Knowledge

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-04T15:12:55.675253Z

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Observation 77b42c40-9baa-4700-b68b-a107c4fac7d2 · outbound

This paper cites DailyReport: An Open-ended Benchmark for Evaluating Search Agents on Daily Search Tasks.

Fetch-then-Explore: Decoupling Selection from Extraction over a Persistent Workspace for Search Agents DailyReport: An Open-ended Benchmark for Evaluating Search Agents on Daily Search Tasks

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-04T15:12:55.678009Z

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Observation e099c1fe-77ff-46c6-9bee-f2b4a8098fcc · outbound

This paper cites Toward Generalist Autonomous Research via Hypothesis-Tree Refinement.

Fetch-then-Explore: Decoupling Selection from Extraction over a Persistent Workspace for Search Agents Toward Generalist Autonomous Research via Hypothesis-Tree Refinement

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-04T15:12:55.681064Z

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Observation 35428dba-b49e-4902-a092-1a619774f935 · outbound

This paper cites Notes2Skills: From Lab Notebooks to Certainty-Aware Scientific Agent Skills.

Fetch-then-Explore: Decoupling Selection from Extraction over a Persistent Workspace for Search Agents Notes2Skills: From Lab Notebooks to Certainty-Aware Scientific Agent Skills

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-04T15:12:55.684414Z

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Observation e6ddbf4f-6221-45d2-8700-79bb7bbde969 · outbound

This paper cites Can AI Agents Synthesize Scientific Conclusions?.

Fetch-then-Explore: Decoupling Selection from Extraction over a Persistent Workspace for Search Agents Can AI Agents Synthesize Scientific Conclusions?

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-04T15:12:55.687012Z

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Observation a53c4716-c584-459e-a7e9-9f25efb6812b · outbound

This paper cites FORT-Searcher: Synthesizing Shortcut-Resistant Search Tasks for Training Deep Search Agents.

Fetch-then-Explore: Decoupling Selection from Extraction over a Persistent Workspace for Search Agents FORT-Searcher: Synthesizing Shortcut-Resistant Search Tasks for Training Deep Search Agents

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-04T15:12:55.689604Z

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Observation 251546f2-067d-415c-aac1-dc147eb3b146 · outbound

This paper cites Search Discipline for Long-Horizon Research Agents.

Fetch-then-Explore: Decoupling Selection from Extraction over a Persistent Workspace for Search Agents Search Discipline for Long-Horizon Research Agents

Reference 74

Resolution: unresolved; no resolver link, observed 2026-08-04T15:12:55.692357Z

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Observation 6a1b75d5-e56a-43e8-8449-1e628f4d7927 · outbound

This paper cites Moonshine: An Autonomous Mathematical Research Agent Centered on Conjecture Generation.

Fetch-then-Explore: Decoupling Selection from Extraction over a Persistent Workspace for Search Agents Moonshine: An Autonomous Mathematical Research Agent Centered on Conjecture Generation

Reference 75

Resolution: unresolved; no resolver link, observed 2026-08-04T15:12:55.695131Z

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Observation 729bd37b-6a1c-41ce-a89e-2b50053ad812 · outbound

This paper cites Effective Reinforcement Learning for Agentic Search by Recycling Zero-Variance Queries During Training.

Fetch-then-Explore: Decoupling Selection from Extraction over a Persistent Workspace for Search Agents Effective Reinforcement Learning for Agentic Search by Recycling Zero-Variance Queries During Training

Reference 76

Resolution: unresolved; no resolver link, observed 2026-08-04T15:12:55.697757Z

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Observation 90008318-94c0-4697-9458-7ba94e9710b6 · outbound

This paper cites What Fits (Into Few Tokens) Doesn't Overfit: Compression and Generalization in ML Research Agents.

Fetch-then-Explore: Decoupling Selection from Extraction over a Persistent Workspace for Search Agents What Fits (Into Few Tokens) Doesn't Overfit: Compression and Generalization in ML Research Agents

Reference 77

Resolution: unresolved; no resolver link, observed 2026-08-04T15:12:55.700414Z

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Observation 78c16054-15cb-4cd2-b031-3895e2104ec9 · outbound

This paper cites PBSD: Privileged Bayesian Self-Distillation for Long-Horizon Credit Assignment.

Fetch-then-Explore: Decoupling Selection from Extraction over a Persistent Workspace for Search Agents PBSD: Privileged Bayesian Self-Distillation for Long-Horizon Credit Assignment

Reference 78

Resolution: unresolved; no resolver link, observed 2026-08-04T15:12:55.703451Z

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Observation 8255201b-6168-4338-a036-22d297bfdaa5 · outbound

This paper cites SearchSwarm: Towards Delegation Intelligence in Agentic LLMs for Long-Horizon Deep Research.

Fetch-then-Explore: Decoupling Selection from Extraction over a Persistent Workspace for Search Agents SearchSwarm: Towards Delegation Intelligence in Agentic LLMs for Long-Horizon Deep Research

Reference 79

Resolution: unresolved; no resolver link, observed 2026-08-04T15:12:55.706337Z

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Observation 78550871-0c80-4f11-b61f-564b9f1d9664 · outbound

This paper cites Multi-Turn Evaluation of Deep Research Agents Under Process-Level Feedback.

Fetch-then-Explore: Decoupling Selection from Extraction over a Persistent Workspace for Search Agents Multi-Turn Evaluation of Deep Research Agents Under Process-Level Feedback

Reference 80

Resolution: unresolved; no resolver link, observed 2026-08-04T15:12:55.709072Z

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Observation 3805ba68-97ae-4d51-b76c-faf84d01ee4d · outbound

This paper cites SlimSearcher: Training Efficiency-Aware Web Agents via Adaptive Reward Gating.

Fetch-then-Explore: Decoupling Selection from Extraction over a Persistent Workspace for Search Agents SlimSearcher: Training Efficiency-Aware Web Agents via Adaptive Reward Gating

Reference 81

Resolution: unresolved; no resolver link, observed 2026-08-04T15:12:55.711751Z

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Observation b2e601a1-19fa-4313-8d0d-fe5c0449a218 · outbound

This paper cites Act As a Real Researcher: A Suite of Benchmarks Evaluating Frontier LLMs and Agentic Harnesses in Research Lifecycle.

Fetch-then-Explore: Decoupling Selection from Extraction over a Persistent Workspace for Search Agents Act As a Real Researcher: A Suite of Benchmarks Evaluating Frontier LLMs and Agentic Harnesses in Research Lifecycle

Reference 83

Resolution: unresolved; no resolver link, observed 2026-08-04T15:12:55.717349Z

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Observation 393376c6-9bcf-45b9-b7a8-3f14be67409b · outbound

This paper cites DuMate-DeepResearch: An Auditable Multi-Agent System with Recursive Search and Rubric-Grounded Reasoning.

Fetch-then-Explore: Decoupling Selection from Extraction over a Persistent Workspace for Search Agents DuMate-DeepResearch: An Auditable Multi-Agent System with Recursive Search and Rubric-Grounded Reasoning

Reference 84

Resolution: unresolved; no resolver link, observed 2026-08-04T15:12:55.720224Z

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Observation 779dadc1-6cdf-4ff1-9ba7-9f97648e3427 · outbound

This paper cites InterLV-Search: Benchmarking Interleaved Multimodal Agentic Search.

Fetch-then-Explore: Decoupling Selection from Extraction over a Persistent Workspace for Search Agents InterLV-Search: Benchmarking Interleaved Multimodal Agentic Search

Reference 85

Resolution: unresolved; no resolver link, observed 2026-08-04T15:12:55.722884Z

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Observation 51bbdbbe-35da-4e45-b082-848f3d6ee97e · outbound

This paper cites Inference-Time Budget Control for LLM Search Agents.

Fetch-then-Explore: Decoupling Selection from Extraction over a Persistent Workspace for Search Agents Inference-Time Budget Control for LLM Search Agents

Reference 86

Resolution: unresolved; no resolver link, observed 2026-08-04T15:12:55.725591Z

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Observation 6176213a-d529-4a47-9463-517c03487441 · outbound

This paper cites Superintelligent Retrieval Agent: The Next Frontier of Agentic Retrieval.

Fetch-then-Explore: Decoupling Selection from Extraction over a Persistent Workspace for Search Agents Superintelligent Retrieval Agent: The Next Frontier of Agentic Retrieval

Reference 87

Resolution: unresolved; no resolver link, observed 2026-08-04T15:12:55.728577Z

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Observation ea73e883-d05b-4546-a4b8-7cf375f656e0 · outbound

This paper cites LiteResearcher: A Scalable Agentic RL Training Framework for Deep Research Agent.

Fetch-then-Explore: Decoupling Selection from Extraction over a Persistent Workspace for Search Agents LiteResearcher: A Scalable Agentic RL Training Framework for Deep Research Agent

Reference 89

Resolution: unresolved; no resolver link, observed 2026-08-04T15:12:55.734078Z

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Observation 7681be96-103f-46b3-adc3-185603e5cbdf · outbound

This paper cites FS-Researcher: Test-Time Scaling for Long-Horizon Research Tasks with File-System-Based Agents.

Fetch-then-Explore: Decoupling Selection from Extraction over a Persistent Workspace for Search Agents FS-Researcher: Test-Time Scaling for Long-Horizon Research Tasks with File-System-Based Agents

Reference 90

Resolution: unresolved; no resolver link, observed 2026-08-04T15:12:55.736879Z

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Observation 08352271-1901-4e1c-9a63-59256fd698ea · outbound

This paper cites DR-Venus: Towards Frontier Edge-Scale Deep Research Agents with Only 10K Open Data.

Fetch-then-Explore: Decoupling Selection from Extraction over a Persistent Workspace for Search Agents DR-Venus: Towards Frontier Edge-Scale Deep Research Agents with Only 10K Open Data

Reference 91

Resolution: unresolved; no resolver link, observed 2026-08-04T15:12:55.739589Z

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Observation 0458ba75-41e6-4335-8996-7b80d5d68f2e · outbound

This paper cites Rethinking Reasoning-Intensive Retrieval: Evaluating and Advancing Retrievers in Agentic Search Systems.

Fetch-then-Explore: Decoupling Selection from Extraction over a Persistent Workspace for Search Agents Rethinking Reasoning-Intensive Retrieval: Evaluating and Advancing Retrievers in Agentic Search Systems

Reference 92

Resolution: unresolved; no resolver link, observed 2026-08-04T15:12:55.742431Z

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Observation 675989e2-1ebb-4fed-9907-aebbf2120b76 · outbound

This paper cites OpenSeeker-v2: Pushing the Limits of Search Agents with Informative and High-Difficulty Trajectories.

Fetch-then-Explore: Decoupling Selection from Extraction over a Persistent Workspace for Search Agents OpenSeeker-v2: Pushing the Limits of Search Agents with Informative and High-Difficulty Trajectories

Reference 93

Resolution: unresolved; no resolver link, observed 2026-08-04T15:12:55.745196Z

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Observation be6d1247-e3b9-45fd-80de-11f15031c84a · outbound

This paper cites LongSeeker: Elastic Context Orchestration for Long-Horizon Search Agents.

Fetch-then-Explore: Decoupling Selection from Extraction over a Persistent Workspace for Search Agents LongSeeker: Elastic Context Orchestration for Long-Horizon Search Agents

Reference 94

Resolution: unresolved; no resolver link, observed 2026-08-04T15:12:55.748122Z

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Observation 1c80d119-cfec-4929-bb98-baa732aabf4a · outbound

This paper cites AutoResearchBench: Benchmarking AI Agents on Complex Scientific Literature Discovery.

Fetch-then-Explore: Decoupling Selection from Extraction over a Persistent Workspace for Search Agents AutoResearchBench: Benchmarking AI Agents on Complex Scientific Literature Discovery

Reference 95

Resolution: unresolved; no resolver link, observed 2026-08-04T15:12:55.751309Z

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Observation 3440e5fe-f70b-45d8-b0cf-9e8fa5216fe4 · outbound

This paper cites When to Retrieve During Reasoning: Adaptive Retrieval for Large Reasoning Models.

Fetch-then-Explore: Decoupling Selection from Extraction over a Persistent Workspace for Search Agents When to Retrieve During Reasoning: Adaptive Retrieval for Large Reasoning Models

Reference 96

Resolution: unresolved; no resolver link, observed 2026-08-04T15:12:55.754626Z

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Observation f130e8f3-56f8-47d9-94fe-61c27a4258e3 · outbound

This paper cites 2026 , archivePrefix =.

Fetch-then-Explore: Decoupling Selection from Extraction over a Persistent Workspace for Search Agents 2026 , archivePrefix =

Reference 98

Resolution: unresolved; no resolver link, observed 2026-08-04T15:12:55.760116Z

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Observation a724fa82-a5d7-40cb-8fcd-5de52cd0066e · outbound

This paper cites 2026 , archivePrefix =.

Fetch-then-Explore: Decoupling Selection from Extraction over a Persistent Workspace for Search Agents 2026 , archivePrefix =

Reference 99

Resolution: unresolved; no resolver link, observed 2026-08-04T15:12:55.762741Z

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Observation a62384d5-d79e-4fd4-bce2-ac4d72bed5c4 · outbound

This paper cites Learning to Retrieve from Agent Trajectories.

Fetch-then-Explore: Decoupling Selection from Extraction over a Persistent Workspace for Search Agents Learning to Retrieve from Agent Trajectories

Reference 100

Resolution: unresolved; no resolver link, observed 2026-08-04T15:12:55.765302Z

Source-reported events for the cited work

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Observation 28ac668d-86c6-4ec7-8c12-0c015da5a771 · outbound

This paper cites BrowseComp-ZH: Benchmarking Web Browsing Ability of Large Language Models in Chinese.

Fetch-then-Explore: Decoupling Selection from Extraction over a Persistent Workspace for Search Agents BrowseComp-ZH: Benchmarking Web Browsing Ability of Large Language Models in Chinese

Reference 101

Resolution: unresolved; no resolver link, observed 2026-08-04T15:12:55.768164Z

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Observation 681d8fcf-44d5-4745-8146-b42a0f28e7c9 · outbound

This paper cites DeepResearcher: Scaling Deep Research via Reinforcement Learning in Real-world Environments.

Fetch-then-Explore: Decoupling Selection from Extraction over a Persistent Workspace for Search Agents DeepResearcher: Scaling Deep Research via Reinforcement Learning in Real-world Environments

Reference 102

Resolution: unresolved; no resolver link, observed 2026-08-04T15:12:55.770956Z

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Observation 27372993-a68d-4b95-b39a-08a5789f756b · outbound

This paper cites 2026 , archivePrefix =.

Fetch-then-Explore: Decoupling Selection from Extraction over a Persistent Workspace for Search Agents 2026 , archivePrefix =

Reference 103

Resolution: unresolved; no resolver link, observed 2026-08-04T15:12:55.773872Z

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Observation 3e83d5df-5c7a-45e8-9376-d24c1ef67354 · outbound

This paper cites R-Search: Empowering LLM Reasoning with Search via Multi-Reward Reinforcement Learning.

Fetch-then-Explore: Decoupling Selection from Extraction over a Persistent Workspace for Search Agents R-Search: Empowering LLM Reasoning with Search via Multi-Reward Reinforcement Learning

Reference 104

Resolution: unresolved; no resolver link, observed 2026-08-04T15:12:55.776464Z

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Reference resolution

Outbound references

Pith citing papers