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Paper Citation Record · LEDGER

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

As of 17 August 2026, this Paper Citation Record lists 48 of 48 outbound references and 9 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 57 of 57 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T00:27:06.487235Z

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T19:55:00.033314Z digest=sha256:412eaf655b2323a775efb1e7dc9e59ccf160f702dc9a251b0a72568bdf02c407

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
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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=sha256:2f18e57439537ee4308b1d02c0437c34a45eeaecbe9630146f0cc6fa838f1681

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T19:55:00.151937Z digest=sha256:1e761994e95e307b0b966b9e37d1b3993ef597cc79c75ee820b6e050b7f0121f

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:e66507fe7ada881d3fc97a643f3ea61bc2e5924dbf0d4ddaa3d820173a9bca3c

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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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=sha256:9a021a4fcaac3e9d3bd63ae6c51e4c4def1479e994041a6dab6a5034755e6b51

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

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:55:00.334099Z digest=sha256:043ecab2bd8a30af1480d046c672de345fa75c01edb04040eebc64625bf9b17b

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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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=sha256:3ec582acc5ee4925bf18781dc7cee1a60b4c2151a2b4d07f89bb82992fb3107d

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T19:55:00.453610Z digest=sha256:d6d54e3ce544f7390a2ecab17f7700f90a0537f476e6ac390062dd95a4ae365d

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T19:55:00.498283Z digest=sha256:0b934f1e5ff1c78306ec14df615f717d8ebcdd9d6342e541a09216276a12331a

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T19:55:00.554069Z digest=sha256:a57eb879beacf4bce111f6e9000e35b2dfc3a042a98f6709a6c841838213ee2b

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

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

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:55:00.602439Z digest=sha256:b6796d0fb71c23245f6d6752479d7828c1ca4b158fd765f4b9f5ece1b060814a

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
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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:b382729511e641787397fc7231ad96a85e518fee17c81c275bbd6fc2ef2dbe6b

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T19:55:00.783926Z digest=sha256:1cb9f7e35ce42201a2908c817a34f47824374f0529196c4a2eb9933d322c41e7

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T19:55:00.883895Z digest=sha256:6d6e984ac7f62c67db16214685c7c0b1bf29bec959c00eee361718214c37b793

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T19:55:00.983567Z digest=sha256:586b5d26ba62d9f39ea08da1595c54b907bcebac95f0877f70845327ed4f4ade

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T19:55:01.001743Z digest=sha256:a21324f2b447c76762c937ef4f2c83120ec0564419490abad0a69acf91247983

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

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source=pdf_text observed=2026-08-06T19:55:01.089503Z digest=sha256:fe23198a21e60fd834c4af6b28eb39f87d05c0c70b9712e9af6b70e0c5d8271d

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=sha256:3e5644b530b49c314f87ab8f9fcd5b955f54f99f5eaa2f90af9b6b236f93ba82

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
no resolver link, observed 2026-08-06T19:55:01.261362Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:55:01.261362Z digest=sha256:e1dedb89050942df1bb8fe3e08bbf35a312a2ab66d4cdf24cc16229e70ef7a7a

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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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:55:01.342448Z digest=sha256:ef85ce80da4ff29630f45e5a4bc3d299dadaf1921052235194bad085b891679f

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T19:55:01.429985Z digest=sha256:ed670f32ed0c7dda653a17687456b2a061ee464f823388641927b5534887d7d3

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

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source=pdf_text observed=2026-08-06T19:55:01.528111Z digest=sha256:0a261a21b217fe0f5932e11859dd5fad1e1081c8490f111e5b1dd024f5fa66e5

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

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source=pdf_text observed=2026-08-06T19:55:01.646620Z digest=sha256:60d7df873cf7e9533b5359c1cfdfcfef78cb80fbb31911f4518f126eeb00cad8

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:eeaa9f4bb438d69cc47ca035e9ddc48eaf77dc26abd8babbf8fabbb9f8f7b3fc

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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source=pdf_text observed=2026-08-06T19:55:01.874206Z digest=sha256:a1c3b11de57f3e0fd544cd610ae591ca72e32669a9598f070faae766b97b7682

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=sha256:08ff625e5db51e96d37755b9ae0ec115a9a4c8e76edbe8b45f13a99a4e3ea290

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T19:55:02.083820Z digest=sha256:7b09752ddc0cf2a6034ae20b1c45b2632fab27f25147a0f60007aa3a1c5d6fe8

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:55:02.209312Z digest=sha256:ef58cb33281214682dcf3d68e0613ba6f1a2c847d9be22c00cf78c224eee7d0b

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

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:55:02.320135Z digest=sha256:99bb0b9cc12514d63e1d02831a1d1b545c6e70fefe38d272845e5874fb9015a8

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T19:55:02.439822Z digest=sha256:aec4b2951e40536bc20a0e0e5b4b38785add3b1f025313b9eecfdd907ba4f3db

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

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source=pdf_text observed=2026-08-06T19:55:02.575734Z digest=sha256:e1c8e2db461a19e9873f00ec6d41db6ffb3e7594b8498dc6395c29a7c965d7b3

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T19:55:02.685634Z digest=sha256:ad3953dc449192e6d89779bd67cfb3e81e1b17e14f26b0d81227b0f07a744445

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

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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=sha256:8c5b997b42519737e9b19260ebf5b4c899784700a3a30ea1520cc86ef6d512c3

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=sha256:22d097773a63aff0e3503da8edc933f3a2010dd8987d8cf204cc7627c620283a

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T19:55:03.103745Z digest=sha256:b2938658bcf2e803947977d44b839dd40f0b150c04a048529969ab13bd6214a0

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T19:55:03.138707Z digest=sha256:4e9ca3b8a1a97f244f9c8551065cc6fc9cb110712558a44324a6a9e6e199e180

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T19:55:03.234406Z digest=sha256:0014dc26e3dcec8b7cc29833d7a793596a62a323614c35ab98362f61676cedd7

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=sha256:862cbe5ab0bc23e0125094c4aaa6e4e68d1b0ba6b9cf33e5f1b76fc79d0443ab

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T19:55:03.420485Z digest=sha256:36f26fe9034c8a37f09954c5421867a36544911a6b82c42c3d6afa192b1f77d7

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T19:55:03.508824Z digest=sha256:f36c8e0c7798bcf786eca494cf56538ea3d78dec4368e2f9dfa23904575a7ae4

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T19:55:03.523645Z digest=sha256:ae11f72e4e750247b955c2143068c443586e61cb3554aafe6c5030954c0d2310

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T19:55:03.528714Z digest=sha256:97a41bebf2f33ee36fec371e08b2b26cc3a8b99b6122fa6ba5395ee49a460dc3

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T19:55:03.534070Z digest=sha256:6aeba7ce67477e2b246cc21999dbf7b99b18173f3c108fd50575a99b92f1295f

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T19:55:03.539148Z digest=sha256:72924ebcb360c0772ad9ed267c126f3a1dd1642acd279478d491cbbf8a519763

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T19:55:03.544819Z digest=sha256:c723deee1e4328c8a890f4d70a8f82950bf14a935ac8d73e074e7d6f8fb08d51

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T19:55:03.549666Z digest=sha256:456037f38544b0ded9e01ded48fd99fa3a282cea14a9eb1e1fce263edd8b9914

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T19:55:03.554387Z digest=sha256:c4e364332843f04377b0abee75e1d473ae9b2418979eb81f5f1776d7a83c377d

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T19:55:03.559222Z digest=sha256:b178eb5ea23fd5795052d9a449419f7da0913ebc48ba1bae04e23eae178b9eee

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-17T23:24:25.498693Z digest=sha256:cf1155a773fdb8859eb7ffd93bb8e96bc648e4b199c2f6a309d0d3a6926c6dab

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-05-08T12:02:07.027775Z digest=sha256:be59d2117e45d2af7c024b53407c31471df5ea4b887a85e076650cebdc7dde0b

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-07-04T17:29:43.764085Z digest=sha256:8dd526d8daae3391da27cd621d012a9c59f788b6192bdc409ccdc86f10561a13

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-07T05:48:00.486572Z digest=sha256:1443da5dfd4d5a71030a5a5dc468268f8209260d750a85650ee18f0733f352cc

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-06-27T09:46:30.702256Z digest=sha256:d89fda60ceeb7812af4e39586f07a6ec2ce797b85a26dcfc8676b5e07b8d180c

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-06-25T23:52:31.403419Z digest=sha256:b6a572260ddef301cdd4fbc0ab310e62f3212c95a1d88d7bf8edca7fbad1e49f

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=sha256:3fdc360feb71c9e6476561b8b7c7ac2cfc1e28d63b3e05012fbff60f4f5a51eb

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=sha256:935873461831806be96a2fc314c9c0be99833ed3a77e41cb6b71d1677018b1fb

Observation 1f38e82d-01eb-4895-92f7-62b2479bf31e · inbound

SynWeaver: Website-Prior Task and Trajectory Co-Synthesis for Web Agents cites this paper.

SynWeaver: Website-Prior Task and Trajectory Co-Synthesis for Web Agents WebSynthesis: World-Model-Guided MCTS for Efficient WebUI-Trajectory Synthesis

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-16T00:27:06.487235Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T00:27:06.487235Z digest=sha256:e6352f8db490183258069f40b94bebfed76554f0f6555a59724333589b9d5af4