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Paper Citation Record · LEDGER

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

As of 10 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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T19:55:00.033314Z digest=sha256:64d6abd309b115f37cb7db871ca1370a90528273a9110d777632eb290d9e8d40

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

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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=sha256:361c21f237d926706055cfe594f3bb0d1c167afc8001a5a1310208ca3eeea96d

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T19:55:00.151937Z digest=sha256:cb015ff0b09c6bb898edc8e7414524f1d15ff0669f247073c015395cc1ece1ef

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:f3c53663aaef5b1bce76a71d2d1eb218655bf603a8c001472fa6d57240ef57f5

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

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:55:00.277651Z digest=sha256:2636462869865cb649e029e4feedc3fdfafaacb9b415e1da374e25419d599d0c

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

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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=sha256:15cc9b9af935f9fcbb7142196b0f04399ccba9ec94ac3e23ae556c519f96ac34

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=sha256:3af5dc148fc1e9583d409e8baa800ed9e73592bcd528e054637ff40020aac0c4

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T19:55:00.453610Z digest=sha256:7a1ea33bd9840d0b31335685238759b1fb34e3635bbb3254cf79c8bb39fdbada

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T19:55:00.498283Z digest=sha256:df0be5559b0342f770ba71ed7d4c993232e337a9e63d2ef28eb6ba0c6919a2a3

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T19:55:00.554069Z digest=sha256:62986ab3bed0a3416a64a010899cbb09d70bf02ec2efe6026860c3a49cb93aeb

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:55:00.602439Z digest=sha256:8ebb71387eb9fba0ce6f8b993e2ce2bdc13ff4033ddbfcd7d9ae286cdd7afce9

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:d14b0882b94c4dad4eba2c6ff7ef7b3c000875d5062a2b00113291c61e30ae19

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T19:55:00.783926Z digest=sha256:5c2ff4298d7093dd8151b555d222bd72d17e9cc9c97083aff1f57af424291db2

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T19:55:00.883895Z digest=sha256:d113e0ab63449b1c7dbfcd709e4980b1b915d70f2b5b9939cf7d317f41b8442c

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T19:55:00.983567Z digest=sha256:25dddb01b0ac5ff3d6b147c2e431938b30f65ded9194e91e18f6abe12fc36738

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T19:55:01.001743Z digest=sha256:4a1ccc2cd0e90245d79d605390b4f9739aad586c41b348cf1bd320ee26111b3d

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:ca0453fb08f8769ea9de0f6b85ad71ada1865fcbd2124b6ffccfc4a4a912f3a9

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=sha256:1714e07dd95b07c8fbbe341780181a225e3bde20e6cc4006a8286ba1045d754b

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:e92399b7eb6d9aebf1d09bdf1bf64317aba9bf5e000a441a3939b1c2709c0afa

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

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:55:01.342448Z digest=sha256:a0d3c9b45822ff70a465fa55862da61b9763a87e7ac1ca9d1f581e85393e1d6d

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T19:55:01.429985Z digest=sha256:dfff6576debdfc3fce8aadbb8202893ac3879fbc97eaf913039694fa517e9659

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=sha256:3199e3f9203d50aa3bd72f016a5bc7d583a31ff397f2307737340832eca1d0fa

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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source=pdf_text observed=2026-08-06T19:55:01.646620Z digest=sha256:5fba3c61b32af08c2929517be036265e05ddde52fa6fd5f3379c5717775eb1de

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=sha256:4532ad5022aa9c3bee9bc7bc5b68c8a6fa25272d7d298fe8f48ba0e0b0778e6d

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=sha256:4734dcc4642b50b16780b9dff7867f5ba3d6b911d766caf9dc35193634e98f42

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=sha256:8ae84b90d95dfe2a8b08f5a76b4281e2d29d85ae5bb2e79e73382a3930e43089

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T19:55:02.083820Z digest=sha256:63538553d020a3a244f2c460731411728ba4c69a156715b983405f1d6f8d5e33

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:a823c349394eafad4969744db57c984ac2cc60f197dbfbab3a55dad721c3a06a

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:55:02.320135Z digest=sha256:18c11c7361c0f4b0c3cb0cc6547bfe917e276de7824a8aedd8a6415921b1f881

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T19:55:02.439822Z digest=sha256:7bf1f19425a9de063a6c4f69d4457b29a355781bc7cbfe36b0fba6edd2c75b1c

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:55:02.575734Z digest=sha256:f4417b2ab9671fda457f0ffacd80cded1ec2f8cec9ec7ea77a4624e73ddcb9ae

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T19:55:02.685634Z digest=sha256:856bd451e46345761a464d43966cf34a6c4aa64cfbcad909a666b25d30a89edc

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=sha256:99fa07d2652e2d5b42a8391d69017f9fbc630d2d69701b70739fc35a49b296b8

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=sha256:797236b68f03f047d924d28a8eaf927a52e3e414da3834a634f4efd792a6385b

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T19:55:03.103745Z digest=sha256:709633970355a3f5310f97205a9da23918aa45415dfef648bb1a1b8a1df3693e

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T19:55:03.138707Z digest=sha256:a952b4c0128d266775f14c32f3ff02b34ac12b8e178a5ce878aa30246e2600b1

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T19:55:03.234406Z digest=sha256:36b71d2c29bf7168305c612702338c8214952e352ac561a842591f273813210e

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=sha256:7e1d64c276c7a3cfb973c180bab83824a56062c0074a67126a5c991f16830fbe

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T19:55:03.420485Z digest=sha256:cbeb1a2430f4889f4701f9cbdf1a575af887471b38fd41519e2710364e287536

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T19:55:03.508824Z digest=sha256:f3396b8b3181286f5518c43b558f1e325527847f8a7b0a29e4f0ff747358d1b4

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T19:55:03.523645Z digest=sha256:485621f115ee94e528d85d881d4b52a5d29d13472abbb0e04eff4bc59dd61957

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T19:55:03.528714Z digest=sha256:f8aa61c8209eab792fc1a498ba553bd8a849e46b4863f19b11a6625853f6c716

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T19:55:03.534070Z digest=sha256:8a8097047b38d0e35d38d32d24301e27b5f30289bb3c957e7175e36ef073e7a5

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T19:55:03.539148Z digest=sha256:432b12f594c91481ecad6b7aa999fcc1d2b4b30df3b98a75854efed55f5b076c

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T19:55:03.544819Z digest=sha256:78db50bf0a11f0a8bc3fdef4a143cb2fb66c0def2a5a61c973d7806ad9c25402

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T19:55:03.549666Z digest=sha256:df0a3678a91291cc93c68f359f059dff94b6bed9ad57a49d5a633c61249853b9

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T19:55:03.554387Z digest=sha256:f16ab5fae4f06c60bde8788e2d8fe5dc32eb295232166dbe80c97201f01e1b0d

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T19:55:03.559222Z digest=sha256:53780b9494499a11a69287800312acdd583cf637fedea26f1e8dd331620ae4d2

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-17T23:24:25.498693Z digest=sha256:7d251bd7e3b7bd946e51b72451f74635d991eda9239635381193eee1dd136041

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-08T12:02:07.027775Z digest=sha256:4cab0619e6264fe55abba3eee0058fa4ffd9e30b8d5bc651a6b106a0c09773c0

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-07-04T17:29:43.764085Z digest=sha256:d230d3a9455afe1877dfe914ee7c19df893bd18ae0eb45a768074830c10b8805

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-07T05:48:00.486572Z digest=sha256:d8d610adc82fca7a658ce74e7fd8191e0a2723d1a527b2513cac1c8c1223dae9

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-27T09:46:30.702256Z digest=sha256:06008e687a95519568fbef45a15694712bb5298a7dfb09dfaa7d13489f3d4cc3

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-25T23:52:31.403419Z digest=sha256:65a97bab1eee2eaad67c11e652defc7b59f40b4a514465a3c8368d8b3ab5df7d

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=sha256:997f17d4b2709674bb29b3344a3fe96f568eda52448a16dc6ca755b0bc96c123

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:f886eb4c18c6ad1db3ccc6f645d976ac0c1059f048526cbd9b1b59d51c5e40da