Paper Citation Record · LEDGER

Web Agents with World Models: Learning and Leveraging Environment Dynamics in Web Navigation

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 19 inbound Pith citation observations for arXiv:2410.13232.

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

pith.paper-citation-record.v1
2410.13232 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 19 of 19 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 19 of 19 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T00:56:37.606018Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

2
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation efb53491-546f-4fc8-82ea-8b4a93c60b47 · inbound

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

Large Language Model-Brained GUI Agents: A Survey Web Agents with World Models: Learning and Leveraging Environment Dynamics in Web Navigation

Reference 275

Resolution: metadata mismatch; arxiv_id, observed 2026-05-19T11:08:27.891694Z

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.

Observation 7898158a-c176-4e75-9db0-b27a091d96fa · inbound

A Comprehensive Survey of Agents for Computer Use: Foundations, Challenges, and Future Directions cites this paper.

A Comprehensive Survey of Agents for Computer Use: Foundations, Challenges, and Future Directions Web Agents with World Models: Learning and Leveraging Environment Dynamics in Web Navigation

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-05-23T05:02:35.283952Z

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.

Observation f6443fc8-d276-4012-89e3-148056d8afe6 · inbound

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

Plan-and-Act: Improving Planning of Agents for Long-Horizon Tasks Web Agents with World Models: Learning and Leveraging Environment Dynamics in Web Navigation

Reference 3

Resolution: metadata mismatch; arxiv_id, observed 2026-05-17T21:32:18.554182Z

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.

Observation 352d5fec-d8a1-4c33-a5b9-ca974bb7b98a · inbound

IndoorWorld: Integrating Physical Task Solving and Social Simulation in A Heterogeneous Multi-Agent Environment cites this paper.

IndoorWorld: Integrating Physical Task Solving and Social Simulation in A Heterogeneous Multi-Agent Environment Web Agents with World Models: Learning and Leveraging Environment Dynamics in Web Navigation

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-07T00:56:37.606018Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d6497e0e-a262-4c01-badc-1cce58e6abd2 · inbound

MEM1: Learning to Synergize Memory and Reasoning for Efficient Long-Horizon Agents cites this paper.

MEM1: Learning to Synergize Memory and Reasoning for Efficient Long-Horizon Agents Web Agents with World Models: Learning and Leveraging Environment Dynamics in Web Navigation

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-05-15T00:27:37.438794Z

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.

Observation 68e8f1bb-e42b-4366-93bf-99e81b565c3d · inbound

Beyond Syntax: Action Semantics Learning for App Agents cites this paper.

Beyond Syntax: Action Semantics Learning for App Agents Web Agents with World Models: Learning and Leveraging Environment Dynamics in Web Navigation

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-05-19T07:32:08.729111Z

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.

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

WebSynthesis: World-Model-Guided MCTS for Efficient WebUI-Trajectory Synthesis cites this paper.

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.

Observation 37b7f01d-1bf7-469d-9c1d-ce178133ec4d · inbound

General Agentic Planning Through Simulative Reasoning with World Models cites this paper.

General Agentic Planning Through Simulative Reasoning with World Models Web Agents with World Models: Learning and Leveraging Environment Dynamics in Web Navigation

Reference 28

Resolution: verified exact; arxiv_id, observed 2026-05-22T12:41:33.594559Z

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.

Observation a08d011e-c5d4-4696-842a-8b737c0a3414 · inbound

Designing Memory-Augmented AR Agents for Spatiotemporal Reasoning in Personalized Task Assistance cites this paper.

Designing Memory-Augmented AR Agents for Spatiotemporal Reasoning in Personalized Task Assistance Web Agents with World Models: Learning and Leveraging Environment Dynamics in Web Navigation

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-05T21:24:43.072401Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b9ad6623-2079-4192-8388-e388c8371750 · inbound

Rethinking Token Pruning for Historical Screenshots in GUI Visual Agents: Semantic, Spatial, and Temporal Perspectives cites this paper.

Rethinking Token Pruning for Historical Screenshots in GUI Visual Agents: Semantic, Spatial, and Temporal Perspectives Web Agents with World Models: Learning and Leveraging Environment Dynamics in Web Navigation

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-05-15T00:03:20.106844Z

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.

Observation fec39aa6-e759-4180-941c-4f557158802d · inbound

MemExplorer: Navigating the Heterogeneous Memory Design Space for Agentic Inference NPUs cites this paper.

MemExplorer: Navigating the Heterogeneous Memory Design Space for Agentic Inference NPUs Web Agents with World Models: Learning and Leveraging Environment Dynamics in Web Navigation

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-10T07:47:12.404339Z

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.

Observation f41271dd-4f09-44b1-82e4-ef901d0db8f6 · inbound

Multi-Agent Systems: From Classical Paradigms to Large Foundation Model-Enabled Futures cites this paper.

Multi-Agent Systems: From Classical Paradigms to Large Foundation Model-Enabled Futures Web Agents with World Models: Learning and Leveraging Environment Dynamics in Web Navigation

Reference 62

Resolution: verified exact; arxiv_id, observed 2026-05-11T11:51:03.897961Z

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.

Observation 6ce95a62-d87b-42f7-8377-a76296468a7e · inbound

How Mobile World Model Guides GUI Agents? cites this paper.

How Mobile World Model Guides GUI Agents? Web Agents with World Models: Learning and Leveraging Environment Dynamics in Web Navigation

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-12T06:16:24.384199Z

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.

Observation 4dad63b8-caf0-4cc7-bf7c-a3b667e13090 · inbound

How Mobile World Model Guides GUI Agents? cites this paper.

How Mobile World Model Guides GUI Agents? Web Agents with World Models: Learning and Leveraging Environment Dynamics in Web Navigation

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-25T06:05:27.188630Z

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.

Observation b4020f15-35a5-42d7-8b8b-a499e88b3299 · inbound

PreAct: Computer-Using Agents that Get Faster on Repeated Tasks cites this paper.

PreAct: Computer-Using Agents that Get Faster on Repeated Tasks Web Agents with World Models: Learning and Leveraging Environment Dynamics in Web Navigation

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-07-03T20:58:57.389533Z

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.

Observation 387c8b6e-cc84-408a-a1fb-3d297faff47f · inbound

Self-Improvements in Modern Agentic Systems: A Survey cites this paper.

Self-Improvements in Modern Agentic Systems: A Survey Web Agents with World Models: Learning and Leveraging Environment Dynamics in Web Navigation

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-02T06:35:57.741404Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b5e5c027-baf5-437b-81e9-22a819f93d61 · inbound

Self-Improvements in Modern Agentic Systems: A Survey cites this paper.

Self-Improvements in Modern Agentic Systems: A Survey Web Agents with World Models: Learning and Leveraging Environment Dynamics in Web Navigation

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-02T06:35:57.541312Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5aa4ef01-dc0d-47cc-a9e7-253c083f8ffb · inbound

TAPO: Transition-Aware Policy Optimization for LLM Agents cites this paper.

TAPO: Transition-Aware Policy Optimization for LLM Agents Web Agents with World Models: Learning and Leveraging Environment Dynamics in Web Navigation

Reference 41

Resolution: unresolved; no resolver link, observed 2026-07-31T21:44:39.688810Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 52b3c5e5-ab91-436e-9101-cfbb74d8ea34 · inbound

Quo Vadis, World Modeling? cites this paper.

Quo Vadis, World Modeling? Web Agents with World Models: Learning and Leveraging Environment Dynamics in Web Navigation

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-07T00:13:52.440004Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.