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Paper Citation Record · LEDGER

WebSynthesis: World-Model-Guided MCTS for Efficient WebUI-Trajectory Synthesis

As of 7 August 2026, this Paper Citation Record lists 48 of 48 outbound references and 8 inbound Pith citation observations for arXiv:2507.04370.

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

pith.paper-citation-record.v1
2507.04370 v1

Coverage vector

measured 48 of 48 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T19:55:03.559222Z

measured 56 of 56 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 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T00:13:56.263410Z

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

48 of 48 outbound references displayed

  • verified exact0
  • verified fuzzy21
  • unresolved27
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 9aca001a-5503-4606-8616-2d6c3a5284a7 · outbound

This paper cites Survey on large language model-enhanced reinforcement learning: Concept, taxonomy, and methods.

WebSynthesis: World-Model-Guided MCTS for Efficient WebUI-Trajectory Synthesis Survey on large language model-enhanced reinforcement learning: Concept, taxonomy, and methods

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:55:04.913087Z

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=2026-08-06T19:55:00.033314Z digest=sha256:a228888c211edac2b6a57828f1300050ddb549f3a56c743c16f99a9ebaf1d2d4

Observation 7f371642-8c03-470d-9250-b7bb999a687d · outbound

This paper cites Web Agents with World Models: Learning and Leveraging Environment Dynamics in Web Navigation.

WebSynthesis: World-Model-Guided MCTS for Efficient WebUI-Trajectory Synthesis Web Agents with World Models: Learning and Leveraging Environment Dynamics in Web Navigation

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-06T19:55:00.085450Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:55:00.085450Z digest=sha256:ab44cbe0204b85264b60671c26c6efed8b758a957c110888b621ee70fec0213f

Observation ca16089e-bd84-4860-b6a5-0cd9810bc860 · outbound

This paper cites Understanding world or predicting future? a comprehensive survey of world models, 2024.

WebSynthesis: World-Model-Guided MCTS for Efficient WebUI-Trajectory Synthesis Understanding world or predicting future? a comprehensive survey of world models, 2024

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:55:04.893547Z

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=2026-08-06T19:55:00.151937Z digest=sha256:50648f3a2cfd10afa8bc8165c6a7adf2d45f03b3ec75b5d07a089b2bf177c250

Observation 97dbaeae-d4ea-4daf-85d8-17c90b4bed83 · outbound

This paper cites Plan-and-Act: Improving Planning of Agents for Long-Horizon Tasks.

WebSynthesis: World-Model-Guided MCTS for Efficient WebUI-Trajectory Synthesis Plan-and-Act: Improving Planning of Agents for Long-Horizon Tasks

Reference 4

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no resolver link, observed 2026-08-06T19:55:00.211093Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:55:00.211093Z digest=sha256:e9b4095722e417378fb94b3fe310554c8eae908b2ed6449c87c5c0d8c9616cee

Observation 46fc1948-b7f4-43c8-b009-b326f7d999e7 · outbound

This paper cites WebEvolver: Enhancing Web Agent Self-Improvement with Coevolving World Model.

WebSynthesis: World-Model-Guided MCTS for Efficient WebUI-Trajectory Synthesis WebEvolver: Enhancing Web Agent Self-Improvement with Coevolving World Model

Reference 5

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unresolved
no resolver link, observed 2026-08-06T19:55:00.277651Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:55:00.277651Z digest=sha256:33c173064a055a314a568fe18730ad6418f5bd96fb2dafb28db8aee30f14a195

Observation 21bd1791-907a-4b1a-bd25-e75c7ac7c3b7 · outbound

This paper cites From LLM Reasoning to Autonomous AI Agents: A Comprehensive Review.

WebSynthesis: World-Model-Guided MCTS for Efficient WebUI-Trajectory Synthesis From LLM Reasoning to Autonomous AI Agents: A Comprehensive Review

Reference 6

Resolution
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no resolver link, observed 2026-08-06T19:55:00.334099Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:55:00.334099Z digest=sha256:8ff07e97160fd647b74e12c7d5336b2579066a2b3cae86aa8310280c30d2988f

Observation b4058681-6375-49c3-b8fb-3c25bc3bc84f · outbound

This paper cites Is Your LLM Secretly a World Model of the Internet? Model-Based Planning for Web Agents.

WebSynthesis: World-Model-Guided MCTS for Efficient WebUI-Trajectory Synthesis Is Your LLM Secretly a World Model of the Internet? Model-Based Planning for Web Agents

Reference 7

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unresolved
no resolver link, observed 2026-08-06T19:55:00.394086Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:55:00.394086Z digest=sha256:7d4d3d34461781fc55a9169dc586181b026c4d2521b8795af31bd489c7303c74

Observation 663c825a-4fc5-43f7-981b-4549958f6fb5 · outbound

This paper cites Simulate before act: Model-based planning for web agents.

WebSynthesis: World-Model-Guided MCTS for Efficient WebUI-Trajectory Synthesis Simulate before act: Model-based planning for web agents

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:55:04.873869Z

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=2026-08-06T19:55:00.453610Z digest=sha256:53cb505c155122b59f70f3906c656dce49ee79a09b02af1f4fc6e847ce3be346

Observation 02585570-82e4-4e9f-b63c-d4a1472e88e9 · outbound

This paper cites Webcot: Enhancing web agent reasoning by reconstructing chain-of-thought in reflection, branching, and rollback, 2025.

WebSynthesis: World-Model-Guided MCTS for Efficient WebUI-Trajectory Synthesis Webcot: Enhancing web agent reasoning by reconstructing chain-of-thought in reflection, branching, and rollback, 2025

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:55:04.853201Z

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=2026-08-06T19:55:00.498283Z digest=sha256:fd5c3368014dd47ad45afe9c50b7cd5537ddec7784d78756bce9979aac442be3

Observation f47d08aa-4f16-466c-b995-e6d4fce270e2 · outbound

This paper cites Al Sallab, Senthil Yogamani, and Patrick Pérez.

WebSynthesis: World-Model-Guided MCTS for Efficient WebUI-Trajectory Synthesis Al Sallab, Senthil Yogamani, and Patrick Pérez

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:55:04.833562Z

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=2026-08-06T19:55:00.554069Z digest=sha256:87895daf5dc313210787916c57675421a9e26778cd56ef74a5ab497208618b9e

Observation 1945394a-1f72-4a18-9566-7b6de135bbad · outbound

This paper cites VisualWebArena: Evaluating Multimodal Agents on Realistic Visual Web Tasks.

WebSynthesis: World-Model-Guided MCTS for Efficient WebUI-Trajectory Synthesis VisualWebArena: Evaluating Multimodal Agents on Realistic Visual Web Tasks

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-06T19:55:00.602439Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:55:00.602439Z digest=sha256:2f994eb126c7f10d3eed4efc0890e03db063e5b2f91029bb8e22190018c44c8b

Observation 9a41b1c0-65c8-4cd8-8711-f2e3e5f2edd3 · outbound

This paper cites Tree search for language model agents, 2024.

WebSynthesis: World-Model-Guided MCTS for Efficient WebUI-Trajectory Synthesis Tree search for language model agents, 2024

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-06T19:55:00.660902Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:55:00.660902Z digest=sha256:0bc6c7c722a87c83de29679519731ef9c6e836a15a6985c553e803e19be2c75f

Observation 929ca6d6-7261-4e54-9464-0624c5bf0bc7 · outbound

This paper cites Autowebglm: A large language model- based web navigating agent.

WebSynthesis: World-Model-Guided MCTS for Efficient WebUI-Trajectory Synthesis Autowebglm: A large language model- based web navigating agent

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:55:04.803605Z

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=2026-08-06T19:55:00.783926Z digest=sha256:83ee67b54a7f1660cfd61dd4e248c21e6ecdf7befe933c3a4586683b95b8f2c4

Observation dac88f11-b3e7-4fc2-bc9c-3f0c2696c00a · outbound

This paper cites Visualagentbench: Towards large multimodal models as visual foundation agents, 2024.

WebSynthesis: World-Model-Guided MCTS for Efficient WebUI-Trajectory Synthesis Visualagentbench: Towards large multimodal models as visual foundation agents, 2024

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:55:04.784357Z

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=2026-08-06T19:55:00.883895Z digest=sha256:fbf1f705228f4087fca9ba2f6f6f20438d40f10e331151d6587f7a7877f5f6ac

Observation 0861134d-6f53-42a9-9722-54a617d6604f · outbound

This paper cites Infiguiagent: A multimodal generalist gui agent with native reasoning and reflection, 2025.

WebSynthesis: World-Model-Guided MCTS for Efficient WebUI-Trajectory Synthesis Infiguiagent: A multimodal generalist gui agent with native reasoning and reflection, 2025

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:55:04.762811Z

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=2026-08-06T19:55:00.983567Z digest=sha256:57eb5903185dd2458faf7b5318f3da20f35b712615ef208e938d5f9560b51fc0

Observation 9be92d33-60af-49a9-8509-1936547dd996 · outbound

This paper cites Moerland, Joost Broekens, Aske Plaat, and Catholijn M.

WebSynthesis: World-Model-Guided MCTS for Efficient WebUI-Trajectory Synthesis Moerland, Joost Broekens, Aske Plaat, and Catholijn M

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:55:04.743456Z

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=2026-08-06T19:55:01.001743Z digest=sha256:5eda88c8db0e502d7ea509cd81226d7cecf152ef1a7489dfb8f4c64f2168efd0

Observation 82935d07-bc51-44aa-bd11-8c5aa093a0ab · outbound

This paper cites Agent Q: Advanced Reasoning and Learning for Autonomous AI Agents.

WebSynthesis: World-Model-Guided MCTS for Efficient WebUI-Trajectory Synthesis Agent Q: Advanced Reasoning and Learning for Autonomous AI Agents

Reference 17

Resolution
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source=pdf_text observed=2026-08-06T19:55:01.089503Z digest=sha256:a5919bf0f765fbbd6b627c3ebfb713ec0d04e562ed03e8d21a75d8d20a8b37c1

Observation 4a1f1581-f669-4224-9f39-26e04b903bbc · outbound

This paper cites WebRL: Training LLM Web Agents via Self-Evolving Online Curriculum Reinforcement Learning.

WebSynthesis: World-Model-Guided MCTS for Efficient WebUI-Trajectory Synthesis WebRL: Training LLM Web Agents via Self-Evolving Online Curriculum Reinforcement Learning

Reference 18

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no resolver link, observed 2026-08-06T19:55:01.164687Z

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source=pdf_text observed=2026-08-06T19:55:01.164687Z digest=sha256:434bc07691467aacc7e755d9be3d5a1e4e7d66909ab92f52c5fa55a9b934f4da

Observation d33c6bdd-78d7-4f50-b9d3-bcbec215cd58 · outbound

This paper cites UI-TARS: Pioneering Automated GUI Interaction with Native Agents.

WebSynthesis: World-Model-Guided MCTS for Efficient WebUI-Trajectory Synthesis UI-TARS: Pioneering Automated GUI Interaction with Native Agents

Reference 19

Resolution
unresolved
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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:55:01.261362Z digest=sha256:59163df6fdc85b8fcbb9be086f52a808af0d6acafbe48e75e93766d4cdb160b3

Observation 8e6fb187-708e-4c39-abad-7ec1fb8aec8a · outbound

This paper cites Mastering atari, go, chess and shogi by planning with a learned model.

WebSynthesis: World-Model-Guided MCTS for Efficient WebUI-Trajectory Synthesis Mastering atari, go, chess and shogi by planning with a learned model

Reference 20

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no resolver link, observed 2026-08-06T19:55:01.342448Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-06T19:55:01.342448Z digest=sha256:af8378667a5d20a93b5c68080678bcfcd64a4e456712ed17355e3572c9d2f2fa

Observation b1c9a1b6-4102-4960-94db-c50a692f57ed · outbound

This paper cites Zerosearch: Incentivize the search capability of llms without searching, 2025.

WebSynthesis: World-Model-Guided MCTS for Efficient WebUI-Trajectory Synthesis Zerosearch: Incentivize the search capability of llms without searching, 2025

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:55:04.714232Z

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=2026-08-06T19:55:01.429985Z digest=sha256:0ce1a0e0bde0a7a8136c2cada61784cb347f1125f55437b36ebebdcbb8889a64

Observation 5d12e858-cfa9-441d-bcc7-915a1571d379 · outbound

This paper cites OS-Genesis: Automating GUI Agent Trajectory Construction via Reverse Task Synthesis.

WebSynthesis: World-Model-Guided MCTS for Efficient WebUI-Trajectory Synthesis OS-Genesis: Automating GUI Agent Trajectory Construction via Reverse Task Synthesis

Reference 22

Resolution
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no resolver link, observed 2026-08-06T19:55:01.528111Z

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source=pdf_text observed=2026-08-06T19:55:01.528111Z digest=sha256:49fe093dba3dfa265a6520946a380aea4a2bba792aaacb626d05d070357fca60

Observation f8c2259c-1d7e-4dd8-b33d-687d15307901 · outbound

This paper cites Webagent-r1: Training web agents via end-to-end multi-turn reinforcement learning.

WebSynthesis: World-Model-Guided MCTS for Efficient WebUI-Trajectory Synthesis Webagent-r1: Training web agents via end-to-end multi-turn reinforcement learning

Reference 23

Resolution
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no resolver link, observed 2026-08-06T19:55:01.646620Z

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source=pdf_text observed=2026-08-06T19:55:01.646620Z digest=sha256:6bc0aa58d2b12c1140df4530c0ea2cafd8c2469af9ea741eedbff05e76cea088

Observation 2be80a93-ceb6-47a4-9b26-e1de8f41f708 · outbound

This paper cites AgentTrek: Agent Trajectory Synthesis via Guiding Replay with Web Tutorials.

WebSynthesis: World-Model-Guided MCTS for Efficient WebUI-Trajectory Synthesis AgentTrek: Agent Trajectory Synthesis via Guiding Replay with Web Tutorials

Reference 24

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source=pdf_text observed=2026-08-06T19:55:01.791586Z digest=sha256:3f3cb3ea0a5318d94e48b6d15e7efc1fee20c3a4bfa7348a071f092bbc33ceb8

Observation b43d00a9-30c9-41d3-a2dd-58e7608a10d2 · outbound

This paper cites Set-of-mark prompting unleashes extraordinary visual grounding in gpt-4v, 2023.

WebSynthesis: World-Model-Guided MCTS for Efficient WebUI-Trajectory Synthesis Set-of-mark prompting unleashes extraordinary visual grounding in gpt-4v, 2023

Reference 25

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no resolver link, observed 2026-08-06T19:55:01.874206Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:55:01.874206Z digest=sha256:7b966b0b50abaebc54daa56f9dfbfab51b99e1b2bc339574a5ea5ff2282b4446

Observation 804ee8f5-3cb5-47e3-9e94-bafc92746182 · outbound

This paper cites AgentOccam: A Simple Yet Strong Baseline for LLM-Based Web Agents.

WebSynthesis: World-Model-Guided MCTS for Efficient WebUI-Trajectory Synthesis AgentOccam: A Simple Yet Strong Baseline for LLM-Based Web Agents

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-06T19:55:01.992561Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:55:01.992561Z digest=sha256:5c7a7bd40b72e2816568bae4fee2f289df8994c000ff17dbb320f96c8969414d

Observation d5195edc-c2d0-4e06-a146-9d65226c2e49 · outbound

This paper cites Mulberry: Empowering mllm with o1-like reasoning and reflection via collective monte carlo tree search, 2024.

WebSynthesis: World-Model-Guided MCTS for Efficient WebUI-Trajectory Synthesis Mulberry: Empowering mllm with o1-like reasoning and reflection via collective monte carlo tree search, 2024

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:55:04.684251Z

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=2026-08-06T19:55:02.083820Z digest=sha256:442df3fe1ac3dc5b4e69b2cbfcb5cd8386879af66d4ed245250d14f22dccb9be

Observation a9865d88-3a87-40b7-9a6a-03171fffe3ca · outbound

This paper cites Large Language Model-Brained GUI Agents: A Survey.

WebSynthesis: World-Model-Guided MCTS for Efficient WebUI-Trajectory Synthesis Large Language Model-Brained GUI Agents: A Survey

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-06T19:55:02.209312Z

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source=pdf_text observed=2026-08-06T19:55:02.209312Z digest=sha256:c93175102029ab5a55c468fd915bd02af139f6c837d9bada42f258517bc78d8e

Observation 44cb121f-23ed-452f-95f1-40adbaf1ca8f · outbound

This paper cites Rest-mcts*: Llm self-training via process reward guided tree search, 2024.

WebSynthesis: World-Model-Guided MCTS for Efficient WebUI-Trajectory Synthesis Rest-mcts*: Llm self-training via process reward guided tree search, 2024

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-06T19:55:02.320135Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:55:02.320135Z digest=sha256:caba159990f73dba6f3b328920fb2b5e4bd50f17afd1f5e4bfb2779003482a3e

Observation d051969f-ac56-4318-ae39-ee2004ed4e1b · outbound

This paper cites Webpilot: A versatile and autonomous multi-agent system for web task execution with strategic exploration.

WebSynthesis: World-Model-Guided MCTS for Efficient WebUI-Trajectory Synthesis Webpilot: A versatile and autonomous multi-agent system for web task execution with strategic exploration

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:55:04.653244Z

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=2026-08-06T19:55:02.439822Z digest=sha256:95e3e20b9eaa5bfc2ddfbbbfd0e1787b28d3d0177943455f41372c0e2eedd2d1

Observation 99522287-5abf-4d40-9eba-d056329e06b8 · outbound

This paper cites Embodied-R: Collaborative Framework for Activating Embodied Spatial Reasoning in Foundation Models via Reinforcement Learning.

WebSynthesis: World-Model-Guided MCTS for Efficient WebUI-Trajectory Synthesis Embodied-R: Collaborative Framework for Activating Embodied Spatial Reasoning in Foundation Models via Reinforcement Learning

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-06T19:55:02.575734Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:55:02.575734Z digest=sha256:d34d606ccc0e21e324547942f8d646441db9f78bf532348ce0753f8fffe66066

Observation ff4aac13-9f21-44a9-9683-17055e917424 · outbound

This paper cites Synapse: Trajectory-as-exemplar prompting with memory for computer control, 2024.

WebSynthesis: World-Model-Guided MCTS for Efficient WebUI-Trajectory Synthesis Synapse: Trajectory-as-exemplar prompting with memory for computer control, 2024

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:55:04.635887Z

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=2026-08-06T19:55:02.685634Z digest=sha256:a4dbb47c944f4ee8a5443f78c1499dae77b8d5a0a990f45d755b69c680a56ca8

Observation 848738be-f671-4c05-8976-477b72ae6886 · outbound

This paper cites WebArena: A Realistic Web Environment for Building Autonomous Agents.

WebSynthesis: World-Model-Guided MCTS for Efficient WebUI-Trajectory Synthesis WebArena: A Realistic Web Environment for Building Autonomous Agents

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-06T19:55:02.841968Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:55:02.841968Z digest=sha256:8b24b182fa3ad02a53c1643842a3c3f0dd60d454c78f0eef7aeb976af28ba0de

Observation c2b82cd0-0063-4245-937e-8e75ac34d59c · outbound

This paper cites Proposer-Agent-Evaluator(PAE): Autonomous Skill Discovery For Foundation Model Internet Agents.

WebSynthesis: World-Model-Guided MCTS for Efficient WebUI-Trajectory Synthesis Proposer-Agent-Evaluator(PAE): Autonomous Skill Discovery For Foundation Model Internet Agents

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-06T19:55:02.967678Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:55:02.967678Z digest=sha256:77606bac2af37de720f63d33afbced4eb60aba546319be837947c09fa5e7594d

Observation 95d2938e-536c-4f43-9c65-7766d5b9f2d4 · outbound

This paper cites Postmill,.

WebSynthesis: World-Model-Guided MCTS for Efficient WebUI-Trajectory Synthesis Postmill,

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:55:04.618006Z

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=2026-08-06T19:55:03.103745Z digest=sha256:226c1238997bb854281092ac452026cffa5d3b1ac5f91519288c29f04509b94a

Observation 9e222ad7-51c0-4654-bcef-e7af89ab0d85 · outbound

This paper cites Let’s think step-by-step.

WebSynthesis: World-Model-Guided MCTS for Efficient WebUI-Trajectory Synthesis Let’s think step-by-step

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:55:04.601674Z

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=2026-08-06T19:55:03.138707Z digest=sha256:7a42b04b937ec54fa4b00dfc2cd21be19fa3b4e0be9bd2fc439ec9ea4cfe1dad

Observation dde11e5f-7a2a-46cf-a327-f477a1bd24cc · outbound

This paper cites an unresolved cited work.

WebSynthesis: World-Model-Guided MCTS for Efficient WebUI-Trajectory Synthesis Unresolved cited work

Reference 37

Resolution
unresolved
raw_fallback, observed 2026-08-06T19:55:04.585048Z

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=2026-08-06T19:55:03.234406Z digest=sha256:47147f5d742b739dbed57dd228763baeb5c2c51974452cbe06535f46d532b776

Observation eaaa9fda-3767-49d6-94b5-f12a638ebe07 · outbound

This paper cites an unresolved cited work.

WebSynthesis: World-Model-Guided MCTS for Efficient WebUI-Trajectory Synthesis Unresolved cited work

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-06T19:55:03.347573Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:55:03.347573Z digest=sha256:51adf14cdb16a58a8bacfbff8ebde3997704899deba48f1397c83dd8ff5298f3

Observation 7478216f-0010-4802-a516-dc68d49f64a3 · outbound

This paper cites In summary, the next action I will perform is.

WebSynthesis: World-Model-Guided MCTS for Efficient WebUI-Trajectory Synthesis In summary, the next action I will perform is

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:55:04.558775Z

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=2026-08-06T19:55:03.420485Z digest=sha256:e6cc0a6cd5c941690bea17fe6e2a45df1f7ab3adf6e4410c685f6fc6dd8be03f

Observation 501a6148-ef2a-46d6-b11f-ae268fccec50 · outbound

This paper cites Don’t generate anything after stop.

WebSynthesis: World-Model-Guided MCTS for Efficient WebUI-Trajectory Synthesis Don’t generate anything after stop

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:55:04.515835Z

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=2026-08-06T19:55:03.508824Z digest=sha256:aaa55fe768e9a8516b54dd986f88ef0ce4278d4ec4ca03ae943676cb1392e22e

Observation aad900f0-c223-4f86-a22b-a03fe5ff0c8b · outbound

This paper cites an unresolved cited work.

WebSynthesis: World-Model-Guided MCTS for Efficient WebUI-Trajectory Synthesis Unresolved cited work

Reference 41

Resolution
unresolved
raw_fallback, observed 2026-08-06T19:55:04.326849Z

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=2026-08-06T19:55:03.523645Z digest=sha256:e343eb35a46462b16913c4205d4b561994a7a2d6e741f1e9ca16340465504c44

Observation d1cb4d8b-2feb-41ba-be6c-9330ece4aa8b · outbound

This paper cites an unresolved cited work.

WebSynthesis: World-Model-Guided MCTS for Efficient WebUI-Trajectory Synthesis Unresolved cited work

Reference 42

Resolution
unresolved
raw_fallback, observed 2026-08-06T19:55:04.255098Z

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=2026-08-06T19:55:03.528714Z digest=sha256:96ae7b67694f1e3eef780541864c929803870d1828991c5e84c3bb1e0fa6c40a

Observation ef3ddee9-c3e5-49d6-b75a-94d61cbe583c · outbound

This paper cites In summary, the next web page observation is.

WebSynthesis: World-Model-Guided MCTS for Efficient WebUI-Trajectory Synthesis In summary, the next web page observation is

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:55:04.099860Z

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=2026-08-06T19:55:03.534070Z digest=sha256:be91c1cd27ff24b938fd4883989965da4fa8753990ded52fa8f12b8973976376

Observation c53cc956-1ddf-4bcb-81d1-2bfa60ee4555 · outbound

This paper cites Do not generate any content after stopping.""", Table 9: World Model Prompt Template.

WebSynthesis: World-Model-Guided MCTS for Efficient WebUI-Trajectory Synthesis Do not generate any content after stopping.""", Table 9: World Model Prompt Template

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:55:04.078256Z

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=2026-08-06T19:55:03.539148Z digest=sha256:93a311f19e687bd7e36a10cb00fc41779d4119f41c4c8fb96980c3250279ed47

Observation 0ea43d8a-8d10-4c1a-b682-546655d6ea32 · outbound

This paper cites an unresolved cited work.

WebSynthesis: World-Model-Guided MCTS for Efficient WebUI-Trajectory Synthesis Unresolved cited work

Reference 45

Resolution
unresolved
raw_fallback, observed 2026-08-06T19:55:04.057540Z

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=2026-08-06T19:55:03.544819Z digest=sha256:d12b71fd8bab49e0b3c035175562586ed7c575fbcd0c661ff057dcbf3b7dbb86

Observation 14501a30-d7bc-47a9-9ce5-9465ee3f208a · outbound

This paper cites - The accessibility tree of the current web page: This is a simplified representation of the webpage, providing key information.

WebSynthesis: World-Model-Guided MCTS for Efficient WebUI-Trajectory Synthesis - The accessibility tree of the current web page: This is a simplified representation of the webpage, providing key information

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:55:04.036281Z

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=2026-08-06T19:55:03.549666Z digest=sha256:324fcc7fe56aecccc33fe33e8894385b2d69a574fd561a8f9bee41bed1a1781b

Observation e5dff338-5171-4eb8-930d-30351e794e42 · outbound

This paper cites an unresolved cited work.

WebSynthesis: World-Model-Guided MCTS for Efficient WebUI-Trajectory Synthesis Unresolved cited work

Reference 47

Resolution
unresolved
raw_fallback, observed 2026-08-06T19:55:04.009930Z

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=2026-08-06T19:55:03.554387Z digest=sha256:e499325cdb97a94a9e2d907de8f4b272180b3979a35aba32d7a373f12e1bd536

Observation fb0e4194-3f89-407f-81ad-cfd7a19d54e9 · outbound

This paper cites The sequence is logically clear with no noticeable redundancies.

WebSynthesis: World-Model-Guided MCTS for Efficient WebUI-Trajectory Synthesis The sequence is logically clear with no noticeable redundancies

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:55:03.987167Z

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=2026-08-06T19:55:03.559222Z digest=sha256:46810ba2ef154440daa9d402f628f3fe0eae77f189be3095d1f5672f021c7874

Pith citing papers

Observation d6961a61-2e24-483c-a66e-802cc6312b92 · inbound

SynthAgent: Adapting Web Agents with Synthetic Supervision cites this paper.

SynthAgent: Adapting Web Agents with Synthetic Supervision WebSynthesis: World-Model-Guided MCTS for Efficient WebUI-Trajectory Synthesis

Reference 2

Resolution
verified exact
arxiv_id, observed 2026-05-17T23:25:28.548189Z

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=2026-05-17T23:24:25.498693Z digest=sha256:50d4b2513754bd9b2f8ff5de864ba62ee376f65e6f75623d914dd344838f5ef3

Observation ed8f6e01-ebea-4811-9a74-18f9119e628e · inbound

Agentic World Modeling: Foundations, Capabilities, Laws, and Beyond cites this paper.

Agentic World Modeling: Foundations, Capabilities, Laws, and Beyond WebSynthesis: World-Model-Guided MCTS for Efficient WebUI-Trajectory Synthesis

Reference 103

Resolution
verified exact
arxiv_id, observed 2026-05-11T19:26:07.725413Z

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=2026-05-08T12:02:07.027775Z digest=sha256:d4698055ecc1c116ce7033706e9685f9f6354121f91b169ea2e5f8d9e1d84873

Observation 8ed838b0-a513-4978-897c-bba37ca78eed · inbound

Agentic World Modeling: Foundations, Capabilities, Laws, and Beyond cites this paper.

Agentic World Modeling: Foundations, Capabilities, Laws, and Beyond WebSynthesis: World-Model-Guided MCTS for Efficient WebUI-Trajectory Synthesis

Reference 103

Resolution
verified exact
arxiv_id, observed 2026-07-04T17:29:59.545340Z

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=2026-07-04T17:29:43.764085Z digest=sha256:f07feffc1765d5430f7f2807a1ba3670e098f255499a6655d0e08b04d8fbd5d0

Observation 418c5b4c-5479-47c2-b3ee-3eefd7726f82 · inbound

GUI Agents with Reinforcement Learning: Toward Digital Inhabitants cites this paper.

GUI Agents with Reinforcement Learning: Toward Digital Inhabitants WebSynthesis: World-Model-Guided MCTS for Efficient WebUI-Trajectory Synthesis

Reference 27

Resolution
metadata mismatch
arxiv_id, observed 2026-05-12T10:31:29.855784Z

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=2026-05-07T05:48:00.486572Z digest=sha256:f08b283356b30717eab925b3456a29013f39f21cf031e3b43da7ef05f3d5b54f

Observation b4d90c5a-3d5f-4fba-bb77-43aad38fbed8 · 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 WebSynthesis: World-Model-Guided MCTS for Efficient WebUI-Trajectory Synthesis

Reference 280

Resolution
metadata mismatch
arxiv_id, observed 2026-06-27T09:50:48.537211Z

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:b2cdfe2e236ca3e2dea6343291c11083b3b67ab877d3c2745e82904eaeacdb07

Observation 7409f2cd-c77c-46ff-856a-4ea35d9373f6 · inbound

Qwen-AgentWorld: Language World Models for General Agents cites this paper.

Qwen-AgentWorld: Language World Models for General Agents WebSynthesis: World-Model-Guided MCTS for Efficient WebUI-Trajectory Synthesis

Reference 22

Resolution
metadata mismatch
arxiv_id, observed 2026-07-04T17:09:59.282860Z

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=2026-06-25T23:52:31.403419Z digest=sha256:f9d1f63fb104aa8c2358e12212ca5fde73aac6a0a9e2c39cae53366418ad4486

Observation 67248491-5ab0-4231-b524-d8dff4a91006 · inbound

SEE: Structure-aware Exploring \& Exploiting for Long-horizon GUI Agent Trajectory Synthesis cites this paper.

SEE: Structure-aware Exploring \& Exploiting for Long-horizon GUI Agent Trajectory Synthesis WebSynthesis: World-Model-Guided MCTS for Efficient WebUI-Trajectory Synthesis

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-01T16:20:11.207116Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T16:20:11.207116Z digest=sha256:feda3f8007b615f60992b0a2fff82f4e78c5f9070bcd813f80b1e2420380a993

Observation 5ecb62e6-1028-412d-929f-8f84362d3192 · inbound

Quo Vadis, World Modeling? cites this paper.

Quo Vadis, World Modeling? WebSynthesis: World-Model-Guided MCTS for Efficient WebUI-Trajectory Synthesis

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-07T00:13:56.263410Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:13:56.263410Z digest=sha256:9a3ff638ffecaae47d2ca9f380bbd8da83738ab308169802bbb86bf8cd82ce05