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Paper Citation Record · LEDGER

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

As of 14 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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T19:55:00.033314Z digest=sha256:83a303a0a79638c8697561a751ff64d0e7e7cd1c42e18102b65d952d6d2354e2

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=sha256:03ebd6426d203eacebb0c61e64fd15d8cd46bb352d7cfbf3f414877df1ab0198

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T19:55:00.151937Z digest=sha256:e8e141cc2030c1a799f7135a510605e3f0d2a000fe366aec1733292aeb07f113

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

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source=pdf_text observed=2026-08-06T19:55:00.211093Z digest=sha256:34d5facabc38773c7eb4dd2968312135435b417d6ad845e2e8511e9db49e8200

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=sha256:9c98ab7926a00917e89f3bc3b04c79179dd175a80e79630a1808b63027524c93

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:a07d566032ac6743913cac610a7e22f4ab727905697028dd284c829912bd6ad9

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

Resolution
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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:e1dfb5f66da5da5b2e17f77fbb44612e31c7c615f711772448d4297bee551399

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T19:55:00.453610Z digest=sha256:b28e047ac8055f4eceddbe1bb6f7d9cd2d5d61f04b9f4c27d525cc79d05a22b3

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T19:55:00.498283Z digest=sha256:b322a73e3bef54e2251bfcd66cbfb6a1490ab1db3af96b06b30bb63d8fd9bc56

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T19:55:00.554069Z digest=sha256:ffed4795c8be0c676d3b02ac9a7db621eafcd71e39901db3e389f80c7cc1fe0e

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=sha256:2ae79c2e4646f42e2ca1bff4a5b8f39a2f858c19249bb61d16f31636edd4a27a

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=sha256:5a69df14b44087c8898b04c911783604e574685bf333a67343887fb4e3588961

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T19:55:00.783926Z digest=sha256:2f77b39df1e5530c5f8fe98ba32eb4fb756c0eb5e06b050afb3e4e825ace591f

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T19:55:00.883895Z digest=sha256:0850a7c1852dae3f8db641202fcd56154c2ab9cdb6a26029301975e169eb5125

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T19:55:00.983567Z digest=sha256:e55af43a337d92823e9ca4a4d60428686e663fcd5a3df8498f7ac4193472ad3f

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T19:55:01.001743Z digest=sha256:92a3d7d0e82d519b40e0f5fe7e9d9c2dca0e6000b237857e91f2b82c20e00018

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=sha256:803411c7267097d7a034863537b787194c64dbae324576a96e3be7e7dc0eb8bf

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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source=pdf_text observed=2026-08-06T19:55:01.164687Z digest=sha256:56d74bcc801aca0cd375612af494e4c7653674f68f14f986103d05ca9f47af2b

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
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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:55:01.261362Z digest=sha256:55e49932aa2885fa26bb6d0807cf88d54b6eaef2d0d405bc92295c4dcb3f4fb8

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

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source=pdf_text observed=2026-08-06T19:55:01.342448Z digest=sha256:d02ac98e27d7a3962928b961ef3a86f6a9aed920864356467635f8c03167563e

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T19:55:01.429985Z digest=sha256:b1f78a5f999650e15e134f1a888745bbf4f236d7c3621f1572bce5614332addf

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

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:55:01.528111Z digest=sha256:c7420394cf31f559b97230276d40ab6be3c4c9376ed887e7858dddb6234cfcde

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=sha256:4d27f581cf251598ffea65225258fd4cd7d8b2e4fc7ddee2473383541cd77e26

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=sha256:10651505ca3153b1dc597d910a4c7367e18ca4329a7cbf80bd4e17085d18cb87

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:f44740a3bd230f8a384199e07c27ebd16c69a2ee9cf21491c7e6d5e8d34f42b7

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:a72ba07c6891b29e1a07ce0e34cb4b71641d3f28054d27fc3b5225474ebff5a0

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T19:55:02.083820Z digest=sha256:d2d5d6871ba1db30a7738115004c609d03668b18dc0706b8caaf62ab17e673cd

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=sha256:617384ae0820f7989dbffd297ca563a2908a32ae89e162c09b0ad61464d6fc0e

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=sha256:8e57299fbfe3fa60f68f963c66d27f234c88f7d2028b5bf1e3db597877f19f50

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T19:55:02.439822Z digest=sha256:023d7bab4ef42c5f9a20dcfe12428fdf2a2c191e40c3e95906d767a065f5d4bb

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

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

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:55:02.575734Z digest=sha256:b328a07c95e0101f897050c2fb2dc58d51dafb20e28c49877002316d3f67b31f

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T19:55:02.685634Z digest=sha256:c4f2582713c25f85f1c3f26eac7e3adf13594845309cfc7f3b5344552ff6b8aa

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=sha256:3a878682e25eaa1753054216fc1d210f18c3b4b5d77afbe5e33d213dd5a2c0a7

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=sha256:64d62accc61adfb509776be974df9f3e4c4d58c429c7d07dab1e0e526836fe59

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T19:55:03.103745Z digest=sha256:9e52bcf5a14701dc798334414daac6df4224617f199869edda4c6d6551c2dcc6

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T19:55:03.138707Z digest=sha256:ca0b3b5c40515c3a88ce516e10c89ab29fd6b0f8ab446a04216df78fd2168028

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T19:55:03.234406Z digest=sha256:54d57bd43b024ff92b98eaddc41cf7c1f7fbbd70d5b59dee3455969a1fa413dd

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:ad78346be074b0179222a0e8012a22b8aebeafdf78270126cca176f745f39a9f

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T19:55:03.420485Z digest=sha256:91d7fdf8929a0ab54896bd1d405b468452347e319a854f637fc7409c139c1cee

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T19:55:03.508824Z digest=sha256:6295cd7a25618b057ade9ce381ded99b1d0112fb1c05dc0989631bb28e228b9d

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T19:55:03.523645Z digest=sha256:bc4bab88eae8bf5546d9eee7ee30248de075ddd2bd66e503ea2d6b7d555262a7

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T19:55:03.528714Z digest=sha256:38777fa172fd6e6bbf73094542fd907705ad4391f79aab5ad6c412e16dfdb1a8

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T19:55:03.534070Z digest=sha256:d1495f0a11dd9990285192d541ef7577fc85e969d4339fe70a5d98da447d621e

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T19:55:03.539148Z digest=sha256:e6028b3c85c7fb59f71353ea2de414a951b22f782c1992dacabcd18e0c85809d

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T19:55:03.544819Z digest=sha256:bafd6c71a72464a169c95d4cb13a895b80ea9e504eec24d732b785ed0ab97978

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T19:55:03.549666Z digest=sha256:2a7e3f0ad87a6d2911c429df84d0a492f82e6b8a7f01676242641a9009e0ee95

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T19:55:03.554387Z digest=sha256:5e35ded906fba5e4e0242875430723ed859756197d6768d479db24d08527f3f0

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T19:55:03.559222Z digest=sha256:ac413549eae65ee23ce8248e27bc0477db44b96f6c55b871219366f9228bfa1a

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-17T23:24:25.498693Z digest=sha256:89a1dc387d53e7a88119304d6f512d0338bdd21e9a0314a238508248d003ad29

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-08T12:02:07.027775Z digest=sha256:490917d49c959dff48d455db2436ce8e6fa400c819f019565e8bf83270315ad8

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-07-04T17:29:43.764085Z digest=sha256:4a10b2099b2abfe91d61476785fb26d2743eeb0bf14f11f528501d62f2cc72df

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-07T05:48:00.486572Z digest=sha256:aea0fad2c08b375f6af0797180d282e43d8e90dc9f184779c54d1db2b2197a65

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-27T09:46:30.702256Z digest=sha256:25b8941d39fcba4b26360eebf2f45e931bcac5292bb6a486e2662f08184ca6b5

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-25T23:52:31.403419Z digest=sha256:e7d2d424e1f5bf107b03ce066aa7a58bedf51d6a4f5bb0a814d51c0a3432d503

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=sha256:8dd6405b8ee2145db09ae716db40e22fd090c78a0c2ed8085ecfb975e28dcf27

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=sha256:5f032d268808f0ac5dcd955f11441769e992f28b9fe31710a492844683b31df3