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Paper Citation Record · LEDGER

WebWalker: Benchmarking LLMs in Web Traversal

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 39 inbound Pith citation observations for arXiv:2501.07572.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2501.07572 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 39 of 39 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 39 of 39 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:30:50.846655Z

measured 1 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

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External citation measurements

2
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation db2af963-922e-497b-b305-d71e337269c6 · inbound

MedBrowseComp: Benchmarking Medical Deep Research and Computer Use cites this paper.

MedBrowseComp: Benchmarking Medical Deep Research and Computer Use WebWalker: Benchmarking LLMs in Web Traversal

Reference 30

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source=pdf_text observed=2026-08-07T15:30:50.846655Z digest=sha256:fad63da72848f68d9f89edf5afc8797e10a7781580e94a965d26e78d7cc2eaf2

Observation ce961658-b063-4860-8900-c03507313a72 · inbound

Tool-Star: Empowering LLM-Brained Multi-Tool Reasoner via Reinforcement Learning cites this paper.

Tool-Star: Empowering LLM-Brained Multi-Tool Reasoner via Reinforcement Learning WebWalker: Benchmarking LLMs in Web Traversal

Reference 68

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no resolver link, observed 2026-08-07T15:06:08.136388Z

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source=pdf_text observed=2026-08-07T15:06:08.136388Z digest=sha256:cbeb3711fc48981b3ac0bfa343141e96c845a4ef0ffaeb0f6e4996f2967137ea

Observation 4936694c-0f25-4f74-b84e-90d957e77f11 · inbound

FullFront: Benchmarking MLLMs Across the Full Front-End Engineering Workflow cites this paper.

FullFront: Benchmarking MLLMs Across the Full Front-End Engineering Workflow WebWalker: Benchmarking LLMs in Web Traversal

Reference 17

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source=pdf_text observed=2026-08-07T14:51:16.385377Z digest=sha256:c65e887bc0620d934151e0a55572d04f80100c5ab58cfd5a85ca8f09488fce5d

Observation f15666ee-bdbc-4691-9a14-5246d2f099a3 · inbound

VRAG-RL: Empower Vision-Perception-Based RAG for Visually Rich Information Understanding via Iterative Reasoning with Reinforcement Learning cites this paper.

VRAG-RL: Empower Vision-Perception-Based RAG for Visually Rich Information Understanding via Iterative Reasoning with Reinforcement Learning WebWalker: Benchmarking LLMs in Web Traversal

Reference 44

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source=arxiv_source observed=2026-08-07T13:24:53.713826Z digest=sha256:2d5fd10de0631c17c0de9f51683a35cdcf4b0deb280e7d7b742d0cccdd66e8b7

Observation 7585a35d-73f4-4f38-a71c-3e69a3f31b79 · inbound

EvolveSearch: An Iterative Self-Evolving Search Agent cites this paper.

EvolveSearch: An Iterative Self-Evolving Search Agent WebWalker: Benchmarking LLMs in Web Traversal

Reference 35

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no resolver link, observed 2026-08-07T13:12:59.086994Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:12:59.086994Z digest=sha256:bf228c893a58fec02ec6505a294bf607c14b8535c751b54d7871c680bad859ba

Observation 9a078472-a785-4ce2-8e51-1ce3ae9a89af · inbound

WebDancer: Towards Autonomous Information Seeking Agency cites this paper.

WebDancer: Towards Autonomous Information Seeking Agency WebWalker: Benchmarking LLMs in Web Traversal

Reference 4

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:08:56.317112Z digest=sha256:119ad2a7b6cb62156cf0026e33d56e06cf606576bbf590a5d913b1ee1a17ab9d

Observation e0d2fc98-8018-4903-9e98-93f790ad3b57 · inbound

WebChoreArena: Evaluating Web Browsing Agents on Realistic Tedious Web Tasks cites this paper.

WebChoreArena: Evaluating Web Browsing Agents on Realistic Tedious Web Tasks WebWalker: Benchmarking LLMs in Web Traversal

Reference 30

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no resolver link, observed 2026-08-07T11:34:47.838851Z

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source=pdf_text observed=2026-08-07T11:34:47.838851Z digest=sha256:dcdfde446aad17ebeac2dab18ec91bb1bf41b22eb349871e4135aebc6dac34eb

Observation 51eb62ac-2c37-4665-a577-f7c589bd4f7c · inbound

DeepResearch Bench: A Comprehensive Benchmark for Deep Research Agents cites this paper.

DeepResearch Bench: A Comprehensive Benchmark for Deep Research Agents WebWalker: Benchmarking LLMs in Web Traversal

Reference 30

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arxiv_id, observed 2026-05-16T08:07:39.525756Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-16T08:07:39.384613Z digest=sha256:04aa0b247fc03c5e4678a4b292648d29e9845eb1157154085989241a9f481638

Observation 2ab43e56-f2f4-44c0-9293-8da1f2c88dc4 · inbound

GUI-Robust: A Comprehensive Dataset for Testing GUI Agent Robustness in Real-World Anomalies cites this paper.

GUI-Robust: A Comprehensive Dataset for Testing GUI Agent Robustness in Real-World Anomalies WebWalker: Benchmarking LLMs in Web Traversal

Reference 24

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source=pdf_text observed=2026-08-07T00:22:54.000576Z digest=sha256:9662bcd27ef49cbbd71ae16c2345c21b0c14419df1e4b69566caa4a6f8e6d306

Observation 86d8ba32-188d-4ba1-9ab3-ca63af754fa2 · inbound

Deep Research Agents: A Systematic Examination And Roadmap cites this paper.

Deep Research Agents: A Systematic Examination And Roadmap WebWalker: Benchmarking LLMs in Web Traversal

Reference 121

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source=pdf_text observed=2026-08-06T23:26:56.963706Z digest=sha256:56b1362cc598ae3ea403617ad87ae774f3cf28d5b739b410e26cf1893b21a75c

Observation 67ef4bc2-ea12-4f28-8d2c-495d0b49cedc · inbound

Mind2Web 2: Evaluating Agentic Search with Agent-as-a-Judge cites this paper.

Mind2Web 2: Evaluating Agentic Search with Agent-as-a-Judge WebWalker: Benchmarking LLMs in Web Traversal

Reference 37

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source=pdf_text observed=2026-08-06T22:29:27.956083Z digest=sha256:3e765b3cd0036acb9834c3807dbbd69e5567300e9e0b84d6142029681b00213b

Observation 7e132520-222a-414d-82c6-cbf8af697334 · inbound

SafeMobile: Chain-level Jailbreak Detection and Automated Evaluation for Multimodal Mobile Agents cites this paper.

SafeMobile: Chain-level Jailbreak Detection and Automated Evaluation for Multimodal Mobile Agents WebWalker: Benchmarking LLMs in Web Traversal

Reference 54

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source=pdf_text observed=2026-08-06T21:11:18.419497Z digest=sha256:1533c755667f5057be376b130a847323f2a573bdab592f6140b98b5762adc755

Observation 3dd944c4-a22e-4e0a-b053-96929108e8f8 · inbound

A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence cites this paper.

A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence WebWalker: Benchmarking LLMs in Web Traversal

Reference 77

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arxiv_id, observed 2026-05-14T22:23:14.784570Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-14T22:23:14.621091Z digest=sha256:6ebd66450395b70c1dc20acbfa3bea395a96842d256c8aaf78269ba63bec10fa

Observation c50c4945-572c-4664-a2a5-57796646c867 · inbound

MetaAgent: Toward Self-Evolving Agent via Tool Meta-Learning cites this paper.

MetaAgent: Toward Self-Evolving Agent via Tool Meta-Learning WebWalker: Benchmarking LLMs in Web Traversal

Reference 31

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source=arxiv_source observed=2026-08-06T10:17:13.691426Z digest=sha256:dfeff112a20c5ce48df9819013c9f5ccaa67a100024728d3468f8033771bbf31

Observation e7b6cfcf-5813-4a4d-95e9-51d39c9b2157 · inbound

Cognitive Kernel-Pro: A Framework for Deep Research Agents and Agent Foundation Models Training cites this paper.

Cognitive Kernel-Pro: A Framework for Deep Research Agents and Agent Foundation Models Training WebWalker: Benchmarking LLMs in Web Traversal

Reference 13

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arxiv_id, observed 2026-05-19T01:51:57.838814Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-19T01:50:30.626249Z digest=sha256:011fb06d4edebb2573d53143f54aab2eb1fbf7f56360cb91036c6354824c4d6f

Observation 4acf394a-80e4-4910-87b1-0967ce9e5168 · inbound

Open Data Synthesis For Deep Research cites this paper.

Open Data Synthesis For Deep Research WebWalker: Benchmarking LLMs in Web Traversal

Reference 28

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source=pdf_text observed=2026-08-05T13:45:13.203875Z digest=sha256:1c9ce710398549aa48b6ecce672a1e0ed56d65786133d4dc77cb8d28812c0006

Observation 9524d2bd-fded-4fd1-aa92-d028f2277706 · inbound

Harnessing Uncertainty: Entropy-Modulated Policy Gradients for Long-Horizon LLM Agents cites this paper.

Harnessing Uncertainty: Entropy-Modulated Policy Gradients for Long-Horizon LLM Agents WebWalker: Benchmarking LLMs in Web Traversal

Reference 35

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source=pdf_text observed=2026-08-04T19:29:00.015869Z digest=sha256:80db941205281431f26ccef0f54e9abc57a4e1fb3f6237846c5543902e5fa276

Observation 5dad2497-2441-41ef-86a2-ce2b2e9472e2 · inbound

Student-Centered Distillation Narrows the Agentic Gap Between Small and Large LLMs cites this paper.

Student-Centered Distillation Narrows the Agentic Gap Between Small and Large LLMs WebWalker: Benchmarking LLMs in Web Traversal

Reference 45

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source=arxiv_source observed=2026-08-04T17:57:52.512404Z digest=sha256:aaa34650a2f5a32a4405576b16a3b3af8fc4c22b6cfbf083bc0289dde80983d9

Observation e31a7e2e-05c8-4923-842f-0e992185d5c1 · inbound

MiroThinker: Pushing the Performance Boundaries of Open-Source Research Agents via Model, Context, and Interactive Scaling cites this paper.

MiroThinker: Pushing the Performance Boundaries of Open-Source Research Agents via Model, Context, and Interactive Scaling WebWalker: Benchmarking LLMs in Web Traversal

Reference 35

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arxiv_id, observed 2026-05-17T21:45:17.854810Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-17T21:44:18.744201Z digest=sha256:584bea30e300b9463c1cb473a859552cbcc2c945d132b0b53e0cc7d3b62ff3f4

Observation 09e60d6c-21b9-4aa7-8585-732c7c5d4411 · inbound

Watching, Reasoning, and Searching: A Video Deep Research Benchmark on Open Web for Agentic Video Reasoning cites this paper.

Watching, Reasoning, and Searching: A Video Deep Research Benchmark on Open Web for Agentic Video Reasoning WebWalker: Benchmarking LLMs in Web Traversal

Reference 13

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arxiv_id, observed 2026-05-21T16:40:22.779383Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-21T16:35:24.557809Z digest=sha256:0982416911b1f45422dca64722b314a5dae4ca5e7835382d2b053ad616b9b885

Observation 9f3870a8-9548-4161-b2ca-782b39f61d76 · inbound

Evaluating the Search Agent in a Parallel World cites this paper.

Evaluating the Search Agent in a Parallel World WebWalker: Benchmarking LLMs in Web Traversal

Reference 26

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arxiv_id, observed 2026-05-15T17:06:19.348499Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-15T17:02:10.963839Z digest=sha256:5d8e329b4643789d6f2a1c11631e939cc2ae4003265a5cca950535d70e584dff

Observation eee2d20b-f330-4a19-82e5-16d691ec033f · inbound

From Intent to Evidence: A Categorical Approach for Structural Evaluation of Deep Research Agents cites this paper.

From Intent to Evidence: A Categorical Approach for Structural Evaluation of Deep Research Agents WebWalker: Benchmarking LLMs in Web Traversal

Reference 2

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arxiv_id, observed 2026-05-15T00:28:23.594867Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-15T00:25:17.671344Z digest=sha256:18442d184107fc61fbf6efb170bed79b72a0671b13a00f600bc13dca32a0437c

Observation 51e16ac6-ecbc-411c-ac6b-8480a01d5ce4 · inbound

LightThinker++: From Reasoning Compression to Memory Management cites this paper.

LightThinker++: From Reasoning Compression to Memory Management WebWalker: Benchmarking LLMs in Web Traversal

Reference 46

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arxiv_id, observed 2026-05-13T17:28:02.490629Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-13T17:25:28.432170Z digest=sha256:e2d602b7b7b0fe7b727d3f7ebf03fb5cdacaaf82f4ba42151a1bae21340b147b

Observation 52fbe3a7-a5e8-4bc4-a7ac-c2ed0bd5b645 · inbound

EigentSearch-Q+: Enhancing Deep Research Agents with Structured Reasoning Tools cites this paper.

EigentSearch-Q+: Enhancing Deep Research Agents with Structured Reasoning Tools WebWalker: Benchmarking LLMs in Web Traversal

Reference 27

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arxiv_id, observed 2026-05-11T00:15:55.614890Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T18:36:45.297356Z digest=sha256:ce83f2b6d1778e5ac132029731cbb199192fd2c0ae5ecfeb6ba412c0cddb0e64

Observation 83f43b55-3511-4922-b5c3-4d183c76bdd6 · inbound

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

LiteResearcher: A Scalable Agentic RL Training Framework for Deep Research Agent WebWalker: Benchmarking LLMs in Web Traversal

Reference 41

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local_arxiv, observed 2026-07-05T15:11:10.913704Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-07-05T15:03:50.420072Z digest=sha256:3d095142ab7ec5536b187cb049b97eee2a21233b12db3b7b97611fe5072d7bb3

Observation c14ae87d-840d-4b97-af62-f824bc72ab98 · inbound

Training LLM Agents for Spontaneous, Reward-Free Self-Evolution via World Knowledge Exploration cites this paper.

Training LLM Agents for Spontaneous, Reward-Free Self-Evolution via World Knowledge Exploration WebWalker: Benchmarking LLMs in Web Traversal

Reference 2

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arxiv_id, observed 2026-05-10T12:10:23.405556Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T04:36:27.381942Z digest=sha256:4d16843e65b7665cfc6cdfb2550ba10fed26cef6094803fa4549248046734781

Observation 382bab25-5023-4df6-8feb-db1eca045751 · inbound

Agent-World: Scaling Real-World Environment Synthesis for Evolving General Agent Intelligence cites this paper.

Agent-World: Scaling Real-World Environment Synthesis for Evolving General Agent Intelligence WebWalker: Benchmarking LLMs in Web Traversal

Reference 106

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arxiv_id, observed 2026-05-10T05:25:54.613490Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T05:24:00.503836Z digest=sha256:56497f21bbfe26c944416177f56284035dc60ab631cc54ece462b275c8a4203a

Observation 4283de78-81fe-47ea-9ba2-3592a8bc7a96 · inbound

Agent-World: Scaling Real-World Environment Synthesis for Evolving General Agent Intelligence cites this paper.

Agent-World: Scaling Real-World Environment Synthesis for Evolving General Agent Intelligence WebWalker: Benchmarking LLMs in Web Traversal

Reference 107

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arxiv_id, observed 2026-05-10T05:25:54.251167Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T05:24:00.503836Z digest=sha256:cd1106a0019b885364a03a5147f29e7ba545f29b1a7f9cda5aa58005e0ae939b

Observation 1af9ed58-292a-4b10-a8a6-14e1ef88c4b5 · inbound

ProMMSearchAgent: A Generalizable Multimodal Search Agent Trained with Process-Oriented Rewards cites this paper.

ProMMSearchAgent: A Generalizable Multimodal Search Agent Trained with Process-Oriented Rewards WebWalker: Benchmarking LLMs in Web Traversal

Reference 29

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arxiv_id, observed 2026-05-11T13:41:09.901542Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T01:12:17.469552Z digest=sha256:d4204454caf1a23bdcd15dde11978ef5fb8b704ff6a831c0a1759611de8abf0f

Observation 84dc6e30-60c9-4849-beab-4785b157c31b · inbound

SciResearcher: Scaling Deep Research Agents for Frontier Scientific Reasoning cites this paper.

SciResearcher: Scaling Deep Research Agents for Frontier Scientific Reasoning WebWalker: Benchmarking LLMs in Web Traversal

Reference 47

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arxiv_id, observed 2026-05-11T17:01:08.439416Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-09T14:18:14.048230Z digest=sha256:5e983761ff8c833689854fe464bad5139b5bb77b978ef3996f7cc13affce3da4

Observation 6f510158-9be6-4e56-adf8-c2853ac9fbaf · inbound

Omni-DeepSearch: A Benchmark for Audio-Driven Omni-Modal Deep Search cites this paper.

Omni-DeepSearch: A Benchmark for Audio-Driven Omni-Modal Deep Search WebWalker: Benchmarking LLMs in Web Traversal

Reference 8

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arxiv_id, observed 2026-05-12T07:26:25.909056Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-12T03:21:52.972107Z digest=sha256:6debcd101399764bf3d924362c45af4615cb86b53318c67876b79f250e2b08ae

Observation f4c1fd2f-5f2e-44e6-af5b-fb0dce07b088 · inbound

Learning Agentic Policy from Action Guidance cites this paper.

Learning Agentic Policy from Action Guidance WebWalker: Benchmarking LLMs in Web Traversal

Reference 64

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arxiv_id, observed 2026-05-13T05:07:17.791143Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-13T05:02:49.206053Z digest=sha256:c509a9e1a8db72d05e009b156029936cdf6f0f5205d40b7379bf712aeaad4491

Observation dbe14a35-2c87-46be-b4f1-7364b791aef6 · inbound

Struct-Searcher: Agentic Structural Thinking Advances Multimodal Deep Information Seeking cites this paper.

Struct-Searcher: Agentic Structural Thinking Advances Multimodal Deep Information Seeking WebWalker: Benchmarking LLMs in Web Traversal

Reference 15

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arxiv_id, observed 2026-07-02T16:47:10.203346Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-06-27T22:20:53.187362Z digest=sha256:7ab22f956cff04d7b3b4f3324127e015abd4e9ec2ba9b8adf35d988361a60b13

Observation 10e6e54c-0a4f-4786-994d-c0078531566f · inbound

SimpleSearch-VL: A Simple Recipe for Multimodal Agentic Deep Search cites this paper.

SimpleSearch-VL: A Simple Recipe for Multimodal Agentic Deep Search WebWalker: Benchmarking LLMs in Web Traversal

Reference 53

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arxiv_id, observed 2026-07-01T09:55:41.075928Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-07-01T06:02:48.532478Z digest=sha256:44ef4760a848399d83aaaa8a5b8038a64f5fd5b34f136b3fcf51fdff58f13c62

Observation 4c94a364-327a-4d94-a830-b187464b95eb · inbound

Memory as a Controlled Process: Learned Adaptive Memory Management for LLM Agents cites this paper.

Memory as a Controlled Process: Learned Adaptive Memory Management for LLM Agents WebWalker: Benchmarking LLMs in Web Traversal

Reference 21

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unresolved
no resolver link, observed 2026-08-02T04:50:31.648085Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-02T04:50:31.648085Z digest=sha256:3d2ce62771cdd274072605af988d41022838513b608c5d7b58ba710f21664907

Observation 5c68a7ed-1f71-49fa-b8e9-d74a21fbd5aa · inbound

Contrastive Reinforced Policy Optimization via Privileged Self-Distillation cites this paper.

Contrastive Reinforced Policy Optimization via Privileged Self-Distillation WebWalker: Benchmarking LLMs in Web Traversal

Reference 46

Resolution
unresolved
no resolver link, observed 2026-07-31T20:06:14.128623Z

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source=arxiv_source observed=2026-07-31T20:06:14.128623Z digest=sha256:70527deb7ad3cb434f6d46d044360dd11008ff3d8d3f77b3e233d6bc699d56ef

Observation 263eb880-823c-416d-8b72-850373b39ef7 · inbound

Contrastive Reinforced Policy Optimization via Privileged Self-Distillation cites this paper.

Contrastive Reinforced Policy Optimization via Privileged Self-Distillation WebWalker: Benchmarking LLMs in Web Traversal

Reference 86

Resolution
unresolved
no resolver link, observed 2026-07-31T20:06:17.267411Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-07-31T20:06:17.267411Z digest=sha256:c800652f5a3c9665520d98ec1f067bbc68595cd40b7cacbf21119a1373208737

Observation de9f7ef5-cd71-4eab-bd58-170c6954da30 · inbound

Fetch-then-Explore: Decoupling Selection from Extraction over a Persistent Workspace for Search Agents cites this paper.

Fetch-then-Explore: Decoupling Selection from Extraction over a Persistent Workspace for Search Agents WebWalker: Benchmarking LLMs in Web Traversal

Reference 117

Resolution
unresolved
no resolver link, observed 2026-08-04T15:12:55.811934Z

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source=arxiv_source observed=2026-08-04T15:12:55.811934Z digest=sha256:32a562aafa98cb6cc012082cca7ce72287431fd80b4bc31554680748bf7ddb62

Observation 7dc2973b-826c-4975-8efb-e55a894676be · inbound

From Simple QA to Deep Research: A Verifiable Benchmark Constructed through Iterative Task Evolution cites this paper.

From Simple QA to Deep Research: A Verifiable Benchmark Constructed through Iterative Task Evolution WebWalker: Benchmarking LLMs in Web Traversal

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-04T13:31:24.190907Z

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source=pdf_text observed=2026-08-04T13:31:24.190907Z digest=sha256:c45c5d4e73ba03289d83b791b8092ec217bc9ea82515b0eabae661ae12a6af5b