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Paper Citation Record · LEDGER

WebShaper: Agentically Data Synthesizing via Information-Seeking Formalization

As of 7 August 2026, this Paper Citation Record lists 19 of 19 outbound references and 35 inbound Pith citation observations for arXiv:2507.15061.

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

pith.paper-citation-record.v1
2507.15061 v1

Coverage vector

measured 19 of 19 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T15:46:06.517754Z

measured 54 of 54 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 35 of 35 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T23:26:56.899914Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-10T12:15:01.137692Z

Reference resolution

19 of 19 outbound references displayed

  • verified exact1
  • verified fuzzy0
  • unresolved18
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 2e4ae34d-2d76-42e8-9c49-6b4d5d12168c · outbound

This paper cites Large Language Model based Multi-Agents: A Survey of Progress and Challenges.

WebShaper: Agentically Data Synthesizing via Information-Seeking Formalization Large Language Model based Multi-Agents: A Survey of Progress and Challenges

Reference 2

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:46:05.815815Z digest=sha256:96de0cba352263b33f0fb45758b95471af9771d9ee6d57fc63d9786ee109e800

Observation efe07cbc-3305-458b-ba39-f21c7f095f28 · outbound

This paper cites TriviaQA: A Large Scale Distantly Supervised Challenge Dataset for Reading Comprehension.

WebShaper: Agentically Data Synthesizing via Information-Seeking Formalization TriviaQA: A Large Scale Distantly Supervised Challenge Dataset for Reading Comprehension

Reference 4

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no resolver link, observed 2026-08-06T15:46:06.160794Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-06T15:46:06.160794Z digest=sha256:2abc10f8f34663000346b7ec7570891cf2b2807f10288b95627beac327b4fbf9

Observation 6778ffb2-8da6-4114-8ba6-2c53e79800f6 · outbound

This paper cites WebSailor: Navigating Super-human Reasoning for Web Agent.

WebShaper: Agentically Data Synthesizing via Information-Seeking Formalization WebSailor: Navigating Super-human Reasoning for Web Agent

Reference 6

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source=pdf_text observed=2026-08-06T15:46:06.431424Z digest=sha256:edc11abd63ff45605bf28603ea9a6e9512bd0366cdae0252bb3610376d840f2a

Observation b3370173-d2b2-4c41-9cbf-7539a6c17be5 · outbound

This paper cites DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models.

WebShaper: Agentically Data Synthesizing via Information-Seeking Formalization DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 8

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no resolver link, observed 2026-08-06T15:46:06.444279Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-06T15:46:06.444279Z digest=sha256:3cc85bb0f65b57e0a4623991377dfcde16b9b5e956e094a00f11223c2848f3c5

Observation ac36d009-357a-49f2-a13c-6bfe9bec21b0 · outbound

This paper cites TaskCraft: Automated Generation of Agentic Tasks.

WebShaper: Agentically Data Synthesizing via Information-Seeking Formalization TaskCraft: Automated Generation of Agentic Tasks

Reference 9

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source=pdf_text observed=2026-08-06T15:46:06.451193Z digest=sha256:85bced9e85fbe6e80eed2587aecff0f8a6d2e8e34e856fcfb9e9b904dcc33776

Observation 3a051e20-9f9c-45bc-a673-226e7ad70ac6 · outbound

This paper cites Simpledeepsearcher: Deep information seeking via web-powered reasoning trajectory synthesis.

WebShaper: Agentically Data Synthesizing via Information-Seeking Formalization Simpledeepsearcher: Deep information seeking via web-powered reasoning trajectory synthesis

Reference 10

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source=pdf_text observed=2026-08-06T15:46:06.457761Z digest=sha256:f8998cc497fdacda3172356ce8b1b8e8cec7c80b7659044143057a9e6059d762

Observation 2107abac-dd79-4ba3-86ea-9410807c6e93 · outbound

This paper cites BrowseComp: A Simple Yet Challenging Benchmark for Browsing Agents.

WebShaper: Agentically Data Synthesizing via Information-Seeking Formalization BrowseComp: A Simple Yet Challenging Benchmark for Browsing Agents

Reference 11

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source=pdf_text observed=2026-08-06T15:46:06.463820Z digest=sha256:cef3a72cb083e700d27c97484461f8ac04fac4c3da2ec9444ad554b3db521417

Observation 56369d0e-e182-47b1-837b-429fe542c79e · outbound

This paper cites WebDancer: Towards Autonomous Information Seeking Agency.

WebShaper: Agentically Data Synthesizing via Information-Seeking Formalization WebDancer: Towards Autonomous Information Seeking Agency

Reference 12

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source=pdf_text observed=2026-08-06T15:46:06.469971Z digest=sha256:4a1064b93199ddb4124401d0af63b4ce56355866e93dad299a6e4a09330ceeb4

Observation c5991cdd-7b47-4238-886a-3b9c2b9eaacd · outbound

This paper cites MaskSearch: A Universal Pre-Training Framework to Enhance Agentic Search Capability.

WebShaper: Agentically Data Synthesizing via Information-Seeking Formalization MaskSearch: A Universal Pre-Training Framework to Enhance Agentic Search Capability

Reference 13

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no resolver link, observed 2026-08-06T15:46:06.476168Z

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source=pdf_text observed=2026-08-06T15:46:06.476168Z digest=sha256:6300a5552696acb78526ce52572103468ad19dbdd357f87405bfc656fecc9bd0

Observation 1fd0f9ca-77ba-4024-b236-99b199533efb · outbound

This paper cites DeepSeek-Prover: Advancing Theorem Proving in LLMs through Large-Scale Synthetic Data.

WebShaper: Agentically Data Synthesizing via Information-Seeking Formalization DeepSeek-Prover: Advancing Theorem Proving in LLMs through Large-Scale Synthetic Data

Reference 14

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source=pdf_text observed=2026-08-06T15:46:06.483694Z digest=sha256:3f10739dabebd43e49f170c62d66aa1247bca36d20a862cb7d0cee3a30d6fec4

Observation 7b46f5c3-c872-4dcd-9472-27a5ded9df72 · outbound

This paper cites Qwen2.5 Technical Report.

WebShaper: Agentically Data Synthesizing via Information-Seeking Formalization Qwen2.5 Technical Report

Reference 15

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source=pdf_text observed=2026-08-06T15:46:06.489435Z digest=sha256:fa6666c02c7abe7ccff8240b4b2b5fb0087a343e76b8044fed10dafa20aef9f7

Observation 3141edbb-256c-4fc0-b033-44f52a5859ef · outbound

This paper cites HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question Answering.

WebShaper: Agentically Data Synthesizing via Information-Seeking Formalization HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question Answering

Reference 16

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:46:06.495577Z digest=sha256:92bfbcf9556d4461e59c35ccea68e79beb27391eb481fc4d5731642efd2cc07e

Observation ceccaad1-69f3-4af1-a624-3d879421f7e0 · outbound

This paper cites mPLUG-Owl: Modularization Empowers Large Language Models with Multimodality.

WebShaper: Agentically Data Synthesizing via Information-Seeking Formalization mPLUG-Owl: Modularization Empowers Large Language Models with Multimodality

Reference 17

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no resolver link, observed 2026-08-06T15:46:06.504633Z

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source=pdf_text observed=2026-08-06T15:46:06.504633Z digest=sha256:b28294681ff647eaa4a9ecfdb18acc65a022c73f7c647c558944c1818ae9ad9c

Observation 9a4a82d7-ce4a-4665-8f49-5f477a466fe2 · outbound

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

WebShaper: Agentically Data Synthesizing via Information-Seeking Formalization EvolveSearch: An Iterative Self-Evolving Search Agent

Reference 18

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no resolver link, observed 2026-08-06T15:46:06.512750Z

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source=pdf_text observed=2026-08-06T15:46:06.512750Z digest=sha256:e2bea90544be203ea1eac9769c0753b582ff9026e0886f67c6230eac24492998

Observation 8aa57a3f-e075-4268-8be8-77b50d92301c · outbound

This paper cites OAgents: An Empirical Study of Building Effective Agents.

WebShaper: Agentically Data Synthesizing via Information-Seeking Formalization OAgents: An Empirical Study of Building Effective Agents

Reference 19

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no resolver link, observed 2026-08-06T15:46:06.517754Z

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source=pdf_text observed=2026-08-06T15:46:06.517754Z digest=sha256:4afc343e61a47955e735de0cce2bf6deeccc7a1111169bc9d1e820826b657375

Observation db789a1b-990e-42ed-9947-4b511d59db10 · outbound

This paper cites Theorem prover as a judge for synthetic data generation.

WebShaper: Agentically Data Synthesizing via Information-Seeking Formalization Theorem prover as a judge for synthetic data generation

Reference 2019

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verified exact
raw_fallback, observed 2026-08-06T15:46:07.097422Z

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=2026-08-06T15:46:06.327683Z digest=sha256:4b375c9268148d1184f16fbdfba9f2a6f7d6d6cb9ed7e57db9da14cc2c7064f0

Observation 6db52ad8-2058-43e8-811f-24c582ec5478 · outbound

This paper cites DeepSeek-Prover-V2: Advancing Formal Mathematical Reasoning via Reinforcement Learning for Subgoal Decomposition.

WebShaper: Agentically Data Synthesizing via Information-Seeking Formalization DeepSeek-Prover-V2: Advancing Formal Mathematical Reasoning via Reinforcement Learning for Subgoal Decomposition

Reference 2023

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no resolver link, observed 2026-08-06T15:46:06.437495Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:46:06.437495Z digest=sha256:d5ce1d21037cc99c94feef821f93e29945c29e60c0aae736c04688e792929d8b

Observation 48312f93-acee-4565-9d1a-4dff0a766c6c · outbound

This paper cites Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement Learning.

WebShaper: Agentically Data Synthesizing via Information-Seeking Formalization Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement Learning

Reference 2024

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no resolver link, observed 2026-08-06T15:46:05.950690Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:46:05.950690Z digest=sha256:6881b45ad07e30c1e68ba45d8e891bf74f28d5232781be5ec6713d4c270a922f

Observation 49eaae29-b489-495d-8889-f6239d5f187b · outbound

This paper cites ReSearch: Learning to Reason with Search for LLMs via Reinforcement Learning.

WebShaper: Agentically Data Synthesizing via Information-Seeking Formalization ReSearch: Learning to Reason with Search for LLMs via Reinforcement Learning

Reference 2025

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source=pdf_text observed=2026-08-06T15:46:05.738023Z digest=sha256:7796dc78743464606982386b0dc64bdc03d34268c78be671ac83378b048adde8

Pith citing papers

Observation b8add8ff-828c-4837-819a-9f770fced3c7 · inbound

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

Deep Research Agents: A Systematic Examination And Roadmap WebShaper: Agentically Data Synthesizing via Information-Seeking Formalization

Reference 107

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:26:56.899914Z digest=sha256:50390d90ca43395d9e01edc0861531645deeb92678dd2e71da9388a116c7bf35

Observation 17d5f085-2062-4687-96b2-8b0d46a39a98 · 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 WebShaper: Agentically Data Synthesizing via Information-Seeking Formalization

Reference 12

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metadata mismatch
arxiv_id, observed 2026-05-19T01:51:57.882945Z

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=2026-05-19T01:50:30.626249Z digest=sha256:b4c32209ab232642255cfd6bb6e30a892574aa26638db3ca5eb566f6df6748a2

Observation 0e52505f-8ea4-4214-8a84-daf5d6ce139b · inbound

WebWatcher: Breaking New Frontier of Vision-Language Deep Research Agent cites this paper.

WebWatcher: Breaking New Frontier of Vision-Language Deep Research Agent WebShaper: Agentically Data Synthesizing via Information-Seeking Formalization

Reference 24

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verified exact
arxiv_id, observed 2026-05-15T18:56:24.014124Z

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=2026-05-15T18:56:23.817544Z digest=sha256:cde188807d8f1625d3115f0392f59e1a5701f513abd12e1192f19194225be8a0

Observation a0fc01ef-b2d6-40a4-bf48-752f4cd7f1bf · inbound

Chain-of-Agents: End-to-End Agent Foundation Models via Multi-Agent Distillation and Agentic RL cites this paper.

Chain-of-Agents: End-to-End Agent Foundation Models via Multi-Agent Distillation and Agentic RL WebShaper: Agentically Data Synthesizing via Information-Seeking Formalization

Reference 54

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source=pdf_text observed=2026-08-05T23:57:35.000344Z digest=sha256:4c2729234a9d082f6d43f98adfa5da5d862428ce1144570a75817ce5e0e246b3

Observation f60cd230-ee91-46e3-a59b-10cd71690e03 · inbound

The Landscape of Agentic Reinforcement Learning for LLMs: A Survey cites this paper.

The Landscape of Agentic Reinforcement Learning for LLMs: A Survey WebShaper: Agentically Data Synthesizing via Information-Seeking Formalization

Reference 284

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arxiv_id, observed 2026-05-18T19:21:48.484422Z

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=2026-05-18T19:19:36.427337Z digest=sha256:eec3047b8682211d1228183efc4521c8dcad69ca4e35127310f6f52d6ae52dd0

Observation 9a742768-3e2c-4bb6-847c-f3905eb78c54 · inbound

SFR-DeepResearch: Towards Effective Reinforcement Learning for Autonomously Reasoning Single Agents cites this paper.

SFR-DeepResearch: Towards Effective Reinforcement Learning for Autonomously Reasoning Single Agents WebShaper: Agentically Data Synthesizing via Information-Seeking Formalization

Reference 39

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no resolver link, observed 2026-08-04T23:55:38.669645Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T23:55:38.669645Z digest=sha256:4b8e0b6581d2fda6715c63c2d0ebd764d4a8bed92bf8fc5b12e6fa7f2dba234c

Observation 151c97e6-cc10-440d-8fa4-b7e7bf2c842b · inbound

Mini-o3: Scaling Up Reasoning Patterns and Interaction Turns for Visual Search cites this paper.

Mini-o3: Scaling Up Reasoning Patterns and Interaction Turns for Visual Search WebShaper: Agentically Data Synthesizing via Information-Seeking Formalization

Reference 33

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arxiv_id, observed 2026-05-18T01:17:55.562327Z

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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=2026-05-18T01:17:55.500268Z digest=sha256:b15c47befed37cd9f257063df143b4a8861939c5140616b09013fa8ffcbace55

Observation c33103ca-983b-4a90-92a7-d7bede1a5605 · inbound

Lost in the Maze: Overcoming Context Limitations in Long-Horizon Agentic Search cites this paper.

Lost in the Maze: Overcoming Context Limitations in Long-Horizon Agentic Search WebShaper: Agentically Data Synthesizing via Information-Seeking Formalization

Reference 27

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no resolver link, observed 2026-08-04T08:48:43.350399Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T08:48:43.350399Z digest=sha256:e46be1b8268467b2eba008f84b5f38114c4b0c61c1b70cf1ea9f73f6f9a55565

Observation debc9273-fae0-4704-a261-91d768ae8bd8 · inbound

CRMWeaver: Building Powerful Business Agent via Agentic RL and Shared Memories cites this paper.

CRMWeaver: Building Powerful Business Agent via Agentic RL and Shared Memories WebShaper: Agentically Data Synthesizing via Information-Seeking Formalization

Reference 2025

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no resolver link, observed 2026-08-04T07:34:35.720628Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T07:34:35.720628Z digest=sha256:8267acf051097307712dbc14581a2a934f4f0be6b1f984be55cac97bbd4d56e3

Observation 59975af9-9c76-41be-b0ce-7c09d07d8ad5 · 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 WebShaper: Agentically Data Synthesizing via Information-Seeking Formalization

Reference 14

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verified exact
arxiv_id, observed 2026-05-17T21:45:17.920068Z

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=2026-05-17T21:44:18.744201Z digest=sha256:9b93b94166f34f45ecd66f29d8834ff04c775c52e9c2e2930a5ad2cf2ea69131

Observation 83764175-b33f-4820-a6c4-22956ca5265d · inbound

Inference-Time Scaling of Verification: Self-Evolving Deep Research Agents via Test-Time Rubric-Guided Verification cites this paper.

Inference-Time Scaling of Verification: Self-Evolving Deep Research Agents via Test-Time Rubric-Guided Verification WebShaper: Agentically Data Synthesizing via Information-Seeking Formalization

Reference 18

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verified exact
arxiv_id, observed 2026-05-16T12:30:53.879074Z

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=2026-05-16T12:29:06.229857Z digest=sha256:f038ee7347b7abc43752734b30b6d3f29b261943a7d7aec90ebf938d1e531485

Observation fc60ebf7-8623-42a9-8f94-e5a884fd7558 · inbound

A Tale of Two Graphs: Separating Knowledge Exploration from Outline Structure for Open-Ended Deep Research cites this paper.

A Tale of Two Graphs: Separating Knowledge Exploration from Outline Structure for Open-Ended Deep Research WebShaper: Agentically Data Synthesizing via Information-Seeking Formalization

Reference 347

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no resolver link, observed 2026-08-02T23:28:25.228913Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T23:28:25.228913Z digest=sha256:fe200bfdccb4a7e166c110098c67fd54d59ddea0508b6b88030dd3f9b9afbf43

Observation 7bbbf120-a899-4cb0-ad52-c8c109293b24 · inbound

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

Evaluating the Search Agent in a Parallel World WebShaper: Agentically Data Synthesizing via Information-Seeking Formalization

Reference 18

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verified exact
arxiv_id, observed 2026-05-15T17:06:19.410652Z

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=2026-05-15T17:02:10.963839Z digest=sha256:0a3556f8c6bf1dbd2a565d3d27a6e8aba38ca861f5991232d40f96d60982b73b

Observation ba683134-1b67-4156-a22b-ae429dbc90e0 · inbound

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

LightThinker++: From Reasoning Compression to Memory Management WebShaper: Agentically Data Synthesizing via Information-Seeking Formalization

Reference 45

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arxiv_id, observed 2026-05-13T17:28:02.485404Z

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=2026-05-13T17:25:28.432170Z digest=sha256:d15aacf4aa8f95dcace6f489182b65d5dc7807009b587bde981b0d85892523e6

Observation 13040d64-8ccd-45cf-b01d-be7d383320dc · inbound

Walk the Talk: Bridging the Reasoning-Action Gap for Thinking with Images via Multimodal Agentic Policy Optimization cites this paper.

Walk the Talk: Bridging the Reasoning-Action Gap for Thinking with Images via Multimodal Agentic Policy Optimization WebShaper: Agentically Data Synthesizing via Information-Seeking Formalization

Reference 50

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arxiv_id, observed 2026-05-11T00:45:50.158468Z

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=2026-05-10T18:20:02.559108Z digest=sha256:acd3e8d82074190c0c8553d0e5a61f8765a4a03a426e52fe6c1e43e61c451f82

Observation e76dc08d-e5d9-421c-ae29-6014230c41a6 · inbound

Mind DeepResearch Technical Report cites this paper.

Mind DeepResearch Technical Report WebShaper: Agentically Data Synthesizing via Information-Seeking Formalization

Reference 31

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arxiv_id, observed 2026-05-10T11:50:20.546355Z

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=2026-05-10T11:46:49.178896Z digest=sha256:c5361e334cd574c7e6845cd2de2c26d96abb23ab121274e2187e7362443ae365

Observation c39077fa-7d63-40e8-ba09-45075bef5062 · inbound

ViDR: Grounding Multimodal Deep Research Reports in Source Visual Evidence cites this paper.

ViDR: Grounding Multimodal Deep Research Reports in Source Visual Evidence WebShaper: Agentically Data Synthesizing via Information-Seeking Formalization

Reference 22

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arxiv_id, observed 2026-05-14T19:19:23.687495Z

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=2026-05-14T19:18:52.801531Z digest=sha256:9d868f6bee0f4f45a99140a01e84ce34346f65b61b532d94a0c91995ac8aaf60

Observation 21cfa418-4bb8-4bec-b0f9-8459ecea8921 · inbound

Terminal-World: Scaling Terminal-Agent Environments via Agent Skills cites this paper.

Terminal-World: Scaling Terminal-Agent Environments via Agent Skills WebShaper: Agentically Data Synthesizing via Information-Seeking Formalization

Reference 32

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arxiv_id, observed 2026-05-21T04:54:35.838913Z

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=2026-05-21T04:54:17.662339Z digest=sha256:b08c38c82063fc23ac87fa36602b643778fde36876393ae43dc96e17d3895a0a

Observation 661db048-5570-4d63-a44d-f2c2f5336b26 · inbound

Efficient Agentic Reasoning Through Self-Regulated Simulative Planning cites this paper.

Efficient Agentic Reasoning Through Self-Regulated Simulative Planning WebShaper: Agentically Data Synthesizing via Information-Seeking Formalization

Reference 95

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arxiv_id, observed 2026-05-22T06:34:40.985425Z

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=2026-05-22T06:33:36.846345Z digest=sha256:3c2d3d56951bf0bdd56434b7ef47f383c75d389f4719e51dea013e1e88e26ff8

Observation 0dd50fc9-7782-4d9a-b19e-daad07a8635f · inbound

Rethinking Continual Experience Internalization for Self-Evolving LLM Agents cites this paper.

Rethinking Continual Experience Internalization for Self-Evolving LLM Agents WebShaper: Agentically Data Synthesizing via Information-Seeking Formalization

Reference 31

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metadata mismatch
arxiv_id, observed 2026-07-02T07:56:47.775800Z

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=2026-06-28T06:29:11.398007Z digest=sha256:f45150f5d35ce4306ae8ac8f697e8f10141ad8729a70cd3bc9add5fccf11a267

Observation 3db0aa83-2bab-418c-ad7c-538ced13e65b · inbound

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

Struct-Searcher: Agentic Structural Thinking Advances Multimodal Deep Information Seeking WebShaper: Agentically Data Synthesizing via Information-Seeking Formalization

Reference 8

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metadata mismatch
arxiv_id, observed 2026-07-02T16:47:10.171186Z

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=2026-06-27T22:20:53.187362Z digest=sha256:5051d3e9c822fd215f05892076a2667c6bb4b4504380ac01699823f70078beb0

Observation 22a7162e-054c-4166-9de1-a5810c23776f · inbound

Claw-R1: A Step-Level Data Middleware System for Agentic Reinforcement Learning cites this paper.

Claw-R1: A Step-Level Data Middleware System for Agentic Reinforcement Learning WebShaper: Agentically Data Synthesizing via Information-Seeking Formalization

Reference 21

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arxiv_id, observed 2026-07-03T00:07:28.258778Z

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=2026-06-27T17:28:58.574865Z digest=sha256:09712cd1729375383f052adb377199aae557d7f8a0132c5132512b15585c8400

Observation 8b901640-899a-4c06-a9ea-15c7ed9b744e · inbound

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

Toward Generalist Autonomous Research via Hypothesis-Tree Refinement WebShaper: Agentically Data Synthesizing via Information-Seeking Formalization

Reference 45

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verified exact
arxiv_id, observed 2026-06-27T09:40:47.141721Z

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=2026-06-27T09:34:41.800309Z digest=sha256:f83601c2a47d8e002661416d0804159ec0567b9f805c3dc238b45ef370cda270

Observation c8f73598-9363-4e8b-8593-59f2d7a8a1f7 · inbound

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

FORT-Searcher: Synthesizing Shortcut-Resistant Search Tasks for Training Deep Search Agents WebShaper: Agentically Data Synthesizing via Information-Seeking Formalization

Reference 15

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metadata mismatch
arxiv_id, observed 2026-07-03T10:27:56.454059Z

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=2026-06-27T10:01:45.332920Z digest=sha256:b9a0cf2314d43174ef6bc530c54e72400f7be3dd8293f21e6d19ffd3d6a2bcd8

Observation 25054be6-5db5-4f1c-9b29-615dd8fd1f07 · inbound

Agentic Environment Engineering for Large Language Models: A Survey of Environment Modeling, Synthesis, Evaluation, and Application cites this paper.

Agentic Environment Engineering for Large Language Models: A Survey of Environment Modeling, Synthesis, Evaluation, and Application WebShaper: Agentically Data Synthesizing via Information-Seeking Formalization

Reference 269

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arxiv_id, observed 2026-06-27T09:50:48.492626Z

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=2026-06-27T09:46:30.702256Z digest=sha256:47cd6ff794e0bc45f7025418764011b0e43d1640d77b0ce7d57649538158d9d2

Observation 2ba25f05-cc44-4f19-bde6-d6c225b25a76 · inbound

ScaffoldAgent: Utility-Guided Dynamic Outline Optimization for Open-Ended Deep Research cites this paper.

ScaffoldAgent: Utility-Guided Dynamic Outline Optimization for Open-Ended Deep Research WebShaper: Agentically Data Synthesizing via Information-Seeking Formalization

Reference 28

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arxiv_id, observed 2026-07-04T03:39:30.174034Z

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=2026-06-26T17:50:16.183571Z digest=sha256:6cf8a40ffab709aa4cb9b008ce69de94e6c1f72e02c25856ba6113e7cd0f5eb4

Observation 6dd25be1-7857-4f49-ae15-2385010b41d0 · inbound

Latent Visual States for Efficient Multimodal Reasoning cites this paper.

Latent Visual States for Efficient Multimodal Reasoning WebShaper: Agentically Data Synthesizing via Information-Seeking Formalization

Reference 32

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verified exact
arxiv_id, observed 2026-07-04T16:29:57.281122Z

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=2026-06-26T00:38:11.619574Z digest=sha256:e822cd9a73337f19452d7616bd52124630cba37597d2379e561fa49245343aa5

Observation 0014e34d-af14-4dc2-a781-de39eddfe370 · inbound

Empowering GUI Agents via Autonomous Experience Exploration and Hindsight Experience Utilization for Task Planning cites this paper.

Empowering GUI Agents via Autonomous Experience Exploration and Hindsight Experience Utilization for Task Planning WebShaper: Agentically Data Synthesizing via Information-Seeking Formalization

Reference 2

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arxiv_id, observed 2026-07-04T14:29:53.296465Z

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=2026-06-26T03:51:51.827622Z digest=sha256:cf6ccfa6d2e1124343287279adfb71ce88add051e66e4aba23d4de4ef117699f

Observation 17bd6541-8f60-43e2-bfb6-146a0be988c4 · inbound

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

SimpleSearch-VL: A Simple Recipe for Multimodal Agentic Deep Search WebShaper: Agentically Data Synthesizing via Information-Seeking Formalization

Reference 45

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arxiv_id, observed 2026-07-01T09:55:41.049767Z

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=sha256:26734b49f829c0b97c8c7131c0c1432356b38b97954b5709f4ba3e072e4f54e2

Observation dc2d4eb1-4445-4a01-b83d-27c07bea39f2 · inbound

UNIBROWSE: A Data-to-Agent Framework for Multimodal BrowseComp cites this paper.

UNIBROWSE: A Data-to-Agent Framework for Multimodal BrowseComp WebShaper: Agentically Data Synthesizing via Information-Seeking Formalization

Reference 87

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no resolver link, observed 2026-07-14T10:51:16.019022Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-14T10:51:16.019022Z digest=sha256:92c63aa01fdda2b1c015c207a35be043350bcdb3bdb4032770145226eee673c3

Observation 68814259-ca8e-46cd-a7ef-63d98ddf990d · inbound

To Answer or to Abstain: Mitigating Search-Agent Hallucinations via Abstention-Aware Reinforcement Learning cites this paper.

To Answer or to Abstain: Mitigating Search-Agent Hallucinations via Abstention-Aware Reinforcement Learning WebShaper: Agentically Data Synthesizing via Information-Seeking Formalization

Reference 2

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no resolver link, observed 2026-07-14T09:37:32.415966Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T09:37:32.415966Z digest=sha256:d7196fe29f763c7694f8b34766d1cf8144156185f0bdef143f98ddcf6aa22031

Observation 4d173c50-79d9-40e3-a432-503cf953c6d3 · inbound

SearchOS-V1: Towards Robust Open-Domain Information-Seeking Agent Collaboration cites this paper.

SearchOS-V1: Towards Robust Open-Domain Information-Seeking Agent Collaboration WebShaper: Agentically Data Synthesizing via Information-Seeking Formalization

Reference 115

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no resolver link, observed 2026-08-01T23:46:27.936593Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T23:46:27.936593Z digest=sha256:7a2fc2a681f7ae82068adfaef962378d4d4c5ca4c1de417491cd351f8c177b73

Observation 43f99de6-0ff1-41c4-88cb-a5645b81f120 · 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 WebShaper: Agentically Data Synthesizing via Information-Seeking Formalization

Reference 129

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no resolver link, observed 2026-08-04T15:12:55.848088Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T15:12:55.848088Z digest=sha256:57343142067131c9d8a9e8e51b268f388c5aabe6ec47da9e6da7c17d92f434d5

Observation ce18a2b8-13d3-44cc-8c85-76ad96a976fd · 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 WebShaper: Agentically Data Synthesizing via Information-Seeking Formalization

Reference 27

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no resolver link, observed 2026-08-04T13:31:23.396921Z

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source=pdf_text observed=2026-08-04T13:31:23.396921Z digest=sha256:9ed0100b0c94899dd1980bd9984891cb55da774469a56dbb169afa75c2bcb343

Observation a40ec824-5d1b-417f-b688-9dec1a1b28c4 · inbound

Video-DeepResearch: Towards the Next-Generation Multimodal Deepresearch Agent cites this paper.

Video-DeepResearch: Towards the Next-Generation Multimodal Deepresearch Agent WebShaper: Agentically Data Synthesizing via Information-Seeking Formalization

Reference 31

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no resolver link, observed 2026-08-05T04:44:29.547768Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T04:44:29.547768Z digest=sha256:f6baeb9739e3bb20bf880c6908596af60decd0f87b876e93e09243825adf2929