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Paper Citation Record · LEDGER

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

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 36 inbound Pith citation observations for arXiv:2411.06559.

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

pith.paper-citation-record.v1
2411.06559 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 36 of 36 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 36 of 36 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T21:40:39.891950Z

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

0
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 1f2f3c99-b340-4a80-ae24-5e57cf824a38 · inbound

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

Large Language Model-Brained GUI Agents: A Survey Is Your LLM Secretly a World Model of the Internet? Model-Based Planning for Web Agents

Reference 293

Resolution
verified exact
arxiv_id, observed 2026-05-19T11:08:27.932927Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-19T11:08:27.472508Z digest=sha256:40dc43da3d735e6442e64708bb1182f6e30acc17d81995c94e9342225f36c93b

Observation 2db1d183-63ed-459d-94bd-713fc77c7bf7 · 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 Is Your LLM Secretly a World Model of the Internet? Model-Based Planning for Web Agents

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-05-17T21:32:18.640326Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-17T21:32:18.491541Z digest=sha256:ee267aea5d9e16da5a9cb1ba8a0fd6c7dc66d1e77a7b3f929de410bf6e4c2b6f

Observation 7fc43113-4543-472c-b22b-f35ea85b5516 · inbound

Advances and Challenges in Foundation Agents: From Brain-Inspired Intelligence to Evolutionary, Collaborative, and Safe Systems cites this paper.

Advances and Challenges in Foundation Agents: From Brain-Inspired Intelligence to Evolutionary, Collaborative, and Safe Systems Is Your LLM Secretly a World Model of the Internet? Model-Based Planning for Web Agents

Reference 135

Resolution
verified exact
arxiv_id, observed 2026-05-22T21:42:10.598969Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-22T21:39:49.832151Z digest=sha256:2d3436d861283403a88b95ce5ba409342d51529f14e360bba5895903ac7e64d8

Observation ebafedec-676b-474a-8bc4-d99a6c518828 · inbound

Large Language Models for Planning: A Comprehensive and Systematic Survey cites this paper.

Large Language Models for Planning: A Comprehensive and Systematic Survey Is Your LLM Secretly a World Model of the Internet? Model-Based Planning for Web Agents

Reference 80

Resolution
unresolved
no resolver link, observed 2026-08-07T14:11:56.088900Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:11:56.088900Z digest=sha256:c086befa710e398978e41bb8094dd2c55f983ef7ceeb5f090d1326f99574d0e6

Observation 5257ebcf-df47-4210-9a07-9265c0d80240 · inbound

GOBench: Benchmarking Geometric Optics Generation and Understanding of MLLMs cites this paper.

GOBench: Benchmarking Geometric Optics Generation and Understanding of MLLMs Is Your LLM Secretly a World Model of the Internet? Model-Based Planning for Web Agents

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-07T11:55:23.187041Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:55:23.187041Z digest=sha256:e38e6e2f4f64d5e7c2270799453c11fa76b5bd42c702f23db829a89e63257423

Observation 90c18097-0981-4c10-b284-4f435efd8e6d · inbound

Build the web for agents, not agents for the web cites this paper.

Build the web for agents, not agents for the web Is Your LLM Secretly a World Model of the Internet? Model-Based Planning for Web Agents

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-07T04:17:00.595728Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:17:00.595728Z digest=sha256:4cb8ce7930f0a40267a12c4ed3966c209ac265256eb32ae34e39f51f6879fd4d

Observation c2d6d82a-e7e9-4f4c-bf0b-6713dfc5797b · inbound

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

Beyond Syntax: Action Semantics Learning for App Agents Is Your LLM Secretly a World Model of the Internet? Model-Based Planning for Web Agents

Reference 23

Resolution
verified exact
arxiv_id, observed 2026-05-19T07:32:08.765321Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-19T07:31:33.690689Z digest=sha256:07fbf9381e1857896d0b5ba39f2039a349a4d93ec7e9a6241298dbbca79e6f69

Observation af810d31-6b93-466a-aae4-81e72e25c7fa · inbound

Agent-RewardBench: Towards a Unified Benchmark for Reward Modeling across Perception, Planning, and Safety in Real-World Multimodal Agents cites this paper.

Agent-RewardBench: Towards a Unified Benchmark for Reward Modeling across Perception, Planning, and Safety in Real-World Multimodal Agents Is Your LLM Secretly a World Model of the Internet? Model-Based Planning for Web Agents

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-06T22:36:42.927894Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:36:42.927894Z digest=sha256:407b39b14152fa6cae26add1fbab42f4e05e45cf41387bab8f6ed82ae12ba946

Observation 066ae50a-9a16-4103-a38c-6fd4fb2b78f6 · inbound

Universal Retrieval for Multimodal Trajectory Modeling cites this paper.

Universal Retrieval for Multimodal Trajectory Modeling Is Your LLM Secretly a World Model of the Internet? Model-Based Planning for Web Agents

Reference 2022

Resolution
unresolved
no resolver link, observed 2026-08-06T22:18:37.206020Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:18:37.206020Z digest=sha256:1ee8337a104c5fa117f1fdf36bfc32662028e9027a82ba4ad9c0ec3a38e4acc0

Observation 5bef217b-7911-49de-a4f2-a13acb7de8b2 · inbound

Pipelined Decoder for Efficient Context-Aware Text Generation cites this paper.

Pipelined Decoder for Efficient Context-Aware Text Generation Is Your LLM Secretly a World Model of the Internet? Model-Based Planning for Web Agents

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-06T21:49:36.694902Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T21:49:36.694902Z digest=sha256:4f5d1428871b7a8c280fc8c02b21a238524a3f376e514a5ddbc9bb014781070c

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

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Observation 2497bf4e-5cb2-4313-9f08-98181497a19b · inbound

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

General Agentic Planning Through Simulative Reasoning with World Models Is Your LLM Secretly a World Model of the Internet? Model-Based Planning for Web Agents

Reference 60

Resolution
verified exact
arxiv_id, observed 2026-05-22T12:41:33.568186Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-22T12:37:10.956233Z digest=sha256:5c1fc53dc0dd93d68dac19c857409a95b8d32343e9a69d4a5e12f7410722c841

Observation 3aaea7a4-83e8-4d98-933a-e9d41467abcc · inbound

SSRL: Self-Search Reinforcement Learning cites this paper.

SSRL: Self-Search Reinforcement Learning Is Your LLM Secretly a World Model of the Internet? Model-Based Planning for Web Agents

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-05T20:17:08.840484Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T20:17:08.840484Z digest=sha256:796461ce1ca47a74d5e95b70b744cad38fcb07faa19d87fb139821829fb88557

Observation 71eaa96c-7420-499a-a8d3-402a124519b5 · inbound

A Survey of Reinforcement Learning for Large Reasoning Models cites this paper.

A Survey of Reinforcement Learning for Large Reasoning Models Is Your LLM Secretly a World Model of the Internet? Model-Based Planning for Web Agents

Reference 168

Resolution
verified exact
arxiv_id, observed 2026-05-18T00:02:25.486818Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-18T00:02:24.352947Z digest=sha256:c6d8180aa12f73378322be893eba921438e0da0acc037f17c429efe6d61e7142

Observation cc9ee8f5-43f0-4df3-b64b-4bbfb3ffbc5c · inbound

Agent Learning via Early Experience cites this paper.

Agent Learning via Early Experience Is Your LLM Secretly a World Model of the Internet? Model-Based Planning for Web Agents

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-04T10:47:58.803710Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T10:47:58.803710Z digest=sha256:0531abeb9be8ecd7e3f92324d493d0461533af3de3af62c60c3c3adb79f7fe08

Observation d1953cad-0b43-4efd-8ad0-83a744e12495 · inbound

Branch-and-Browse: Efficient and Controllable Web Exploration with Tree-Structured Reasoning and Action Memory cites this paper.

Branch-and-Browse: Efficient and Controllable Web Exploration with Tree-Structured Reasoning and Action Memory Is Your LLM Secretly a World Model of the Internet? Model-Based Planning for Web Agents

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-04T09:19:54.611196Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T09:19:54.611196Z digest=sha256:389148b3179a588e7dba8ed07f162756d4c525fd2ba09761ef857a633a14c0bf

Observation 6ea44da3-33e1-47c5-acc9-3fae4a4deb20 · inbound

Evo-Memory: Benchmarking LLM Agent Test-time Learning with Self-Evolving Memory cites this paper.

Evo-Memory: Benchmarking LLM Agent Test-time Learning with Self-Evolving Memory Is Your LLM Secretly a World Model of the Internet? Model-Based Planning for Web Agents

Reference 210

Resolution
metadata mismatch
arxiv_id, observed 2026-05-14T23:13:15.507351Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-14T23:13:15.016486Z digest=sha256:a86ec1bdadadf5383144efd7e3ae8b08a95c8fd91685cac586b6957419d04235

Observation 9d410dc2-d73c-495e-adf9-126b3a26fcdb · inbound

DynaWeb: Model-Based Reinforcement Learning of Web Agents cites this paper.

DynaWeb: Model-Based Reinforcement Learning of Web Agents Is Your LLM Secretly a World Model of the Internet? Model-Based Planning for Web Agents

Reference 8

Resolution
metadata mismatch
arxiv_id, observed 2026-05-16T09:37:41.532488Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-16T09:33:30.444057Z digest=sha256:a49f9ad3593085a7e12c5099083bad6c0fd8f7df72cbd8a7a5972425050c0786

Observation d71f6c2b-daa1-47a2-8b05-f20d56c87d30 · inbound

Specification-Driven Generation and Evaluation of Discrete-Event World Models via the DEVS Formalism cites this paper.

Specification-Driven Generation and Evaluation of Discrete-Event World Models via the DEVS Formalism Is Your LLM Secretly a World Model of the Internet? Model-Based Planning for Web Agents

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-05-22T10:21:23.775180Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-22T10:21:13.963271Z digest=sha256:480a003974fa45b17971d67b5d4927be29aeb1b9fdbf893e13d11b79f959152c

Observation 9638398b-4f0b-467d-bf15-1fb552557b01 · inbound

Do Agent Societies Develop Intellectual Elites? The Hidden Power Laws of Collective Cognition in LLM Multi-Agent Systems cites this paper.

Do Agent Societies Develop Intellectual Elites? The Hidden Power Laws of Collective Cognition in LLM Multi-Agent Systems Is Your LLM Secretly a World Model of the Internet? Model-Based Planning for Web Agents

Reference 22

Resolution
verified exact
arxiv_id, observed 2026-05-13T19:13:09.689433Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-13T19:11:52.387623Z digest=sha256:af03b75e18aceb85bd66d8be293f3e24a092c8c0f72e4af47b49f2e44be6b97b

Observation fc736636-c5c8-4df0-9680-a9466798b0bc · inbound

OccuBench: Evaluating AI Agents on Real-World Professional Tasks via Language Environment Simulation cites this paper.

OccuBench: Evaluating AI Agents on Real-World Professional Tasks via Language Environment Simulation Is Your LLM Secretly a World Model of the Internet? Model-Based Planning for Web Agents

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-05-11T08:20:57.887889Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T16:43:27.037355Z digest=sha256:dee45868570c450d2cd03a7edf4b3a4273d3e716bf8086b5c870f78b36cb9835

Observation d2fa34ce-b568-44d9-848f-8ef5a2b3a1e6 · inbound

Human Cognition in Machines: A Unified Perspective of World Models cites this paper.

Human Cognition in Machines: A Unified Perspective of World Models Is Your LLM Secretly a World Model of the Internet? Model-Based Planning for Web Agents

Reference 57

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T08:12:26.106631Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T08:12:15.663761Z digest=sha256:6e91e2719dde7dfc8e3e1854b849a7aa532e8a6abe8ebc4a4c2bf3366ac6afd2

Observation 3c6941c6-cefb-4e1d-8386-dd51780dd3f7 · inbound

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

GUI Agents with Reinforcement Learning: Toward Digital Inhabitants Is Your LLM Secretly a World Model of the Internet? Model-Based Planning for Web Agents

Reference 30

Resolution
verified exact
arxiv_id, observed 2026-05-12T10:31:29.717040Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-07T05:48:00.486572Z digest=sha256:2b6e9b614bbb6fa8fea8e0e0c77dc605a03b9ef509799fd2e0080b2083c7567b

Observation 163c4245-bd13-49f5-8bfe-d471135c4c80 · inbound

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

How Mobile World Model Guides GUI Agents? Is Your LLM Secretly a World Model of the Internet? Model-Based Planning for Web Agents

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-05-12T06:16:24.235352Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-12T04:28:34.562344Z digest=sha256:5cf9ab9dbe55200514c7f3e0296bbb2e9a177c186041328ec18112abfd230215

Observation dbe5372e-19e0-4644-91d9-048f3e3a9900 · inbound

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

How Mobile World Model Guides GUI Agents? Is Your LLM Secretly a World Model of the Internet? Model-Based Planning for Web Agents

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-05-25T06:05:27.270946Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-25T06:00:34.560405Z digest=sha256:9a5c8516e7b473673407fdd991afbcc057a2e4c8cadc9bcd32c96fed49541fb9

Observation fed98f29-7f1f-4374-92b4-bca1186ad514 · inbound

SimGym: A Framework for A/B Test Simulation in E-Commerce with Traffic-Grounded VLM Agents cites this paper.

SimGym: A Framework for A/B Test Simulation in E-Commerce with Traffic-Grounded VLM Agents Is Your LLM Secretly a World Model of the Internet? Model-Based Planning for Web Agents

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-05-20T06:38:05.693960Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-20T06:36:30.620503Z digest=sha256:d7e681e19f29d5c531d9b244da89d936af0116a15da36d7b019c7e14dbdc15ed

Observation 1f7161d8-4bbe-4e66-a306-cecce7e04ad8 · inbound

Learning to Adapt: Self-Improving Web Agent via Cognitive-Aware Exploration cites this paper.

Learning to Adapt: Self-Improving Web Agent via Cognitive-Aware Exploration Is Your LLM Secretly a World Model of the Internet? Model-Based Planning for Web Agents

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-07-01T19:36:08.821174Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-28T22:18:15.244033Z digest=sha256:cd43f678b96ec922ce6e75ecb5a7eabb5624dffdfa107d8a4c7e49c2bf50e7d9

Observation ba9b7b19-48bc-484c-bf4e-72d5f46d08b0 · inbound

World Models: A Comprehensive Survey of Architectures, Methodologies, Reasoning Paradigms, and Applications cites this paper.

World Models: A Comprehensive Survey of Architectures, Methodologies, Reasoning Paradigms, and Applications Is Your LLM Secretly a World Model of the Internet? Model-Based Planning for Web Agents

Reference 78

Resolution
verified exact
arxiv_id, observed 2026-06-29T08:43:15.682288Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-29T08:36:23.776293Z digest=sha256:5a0181e842db163c719988bfe21fb44c8919e2d9ea8f0eb04d7ef5f21ac7b7c0

Observation 93b96fca-c486-4927-a8f5-2f21c814485a · inbound

OpenWebRL: Demystifying Online Multi-turn Reinforcement Learning for Visual Web Agents cites this paper.

OpenWebRL: Demystifying Online Multi-turn Reinforcement Learning for Visual Web Agents Is Your LLM Secretly a World Model of the Internet? Model-Based Planning for Web Agents

Reference 15

Resolution
verified exact
arxiv_id, observed 2026-07-01T22:06:16.437544Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-28T15:46:50.587684Z digest=sha256:2d9a0dbd30069d521a363ba16bf39e3d48b05d84aab9b58147fbfe38c1cfa189

Observation e6b65521-72a1-46d1-9c53-de3965765ed3 · inbound

Towards World Models in Biomedical Research cites this paper.

Towards World Models in Biomedical Research Is Your LLM Secretly a World Model of the Internet? Model-Based Planning for Web Agents

Reference 27

Resolution
verified exact
arxiv_id, observed 2026-07-02T13:06:58.851977Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-28T01:38:23.602249Z digest=sha256:69a5e3e9caf99669a30bd0665f2eed19fdcecb79872bff7090b02463365eb772

Observation c07b9431-f2e3-47b6-90a0-260eb8a78660 · inbound

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

Qwen-AgentWorld: Language World Models for General Agents Is Your LLM Secretly a World Model of the Internet? Model-Based Planning for Web Agents

Reference 23

Resolution
verified exact
arxiv_id, observed 2026-07-04T17:09:59.230526Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-25T23:52:31.403419Z digest=sha256:31139e1d9d672bbe3a5df45c159eed15f86108f0bb430284d5d4c43865da0017

Observation 33f3412c-bc48-44f7-8419-c67de84a2115 · inbound

Empowering GUI Agents via Autonomous Experience Exploration and Hindsight Experience Utilization for Task Planning cites this paper.

Empowering GUI Agents via Autonomous Experience Exploration and Hindsight Experience Utilization for Task Planning Is Your LLM Secretly a World Model of the Internet? Model-Based Planning for Web Agents

Reference 21

Resolution
metadata mismatch
arxiv_id, observed 2026-07-04T14:29:53.377538Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-06-26T03:51:51.827622Z digest=sha256:6255160696ca729ac2c81eb20c3fbf5b3aa66bbd78ddea1852af4b0dea9a910d

Observation f202d84d-b982-4228-9ab8-288546579a13 · inbound

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

TAPO: Transition-Aware Policy Optimization for LLM Agents Is Your LLM Secretly a World Model of the Internet? Model-Based Planning for Web Agents

Reference 42

Resolution
unresolved
no resolver link, observed 2026-07-31T21:44:39.691367Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T21:44:39.691367Z digest=sha256:53e1046e5cdc1de933d68ced11328c57e89fbfe40e2c3c1cc92109cd560612a7

Observation c9552725-2e64-41b3-b78d-b931f6a23955 · inbound

Why Are GUI Agents Correct but Late? Decode on the Decision-Time Critical Path, Tested with Pre-Compiled Policy Trees cites this paper.

Why Are GUI Agents Correct but Late? Decode on the Decision-Time Critical Path, Tested with Pre-Compiled Policy Trees Is Your LLM Secretly a World Model of the Internet? Model-Based Planning for Web Agents

Reference 6

Resolution
unresolved
no resolver link, observed 2026-07-31T08:40:18.788315Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T08:40:18.788315Z digest=sha256:dcff797a456a305bceeaf7b5cc7dcf7887894007e54c8640ec366da870e49b6f

Observation 9d0da86c-c14f-4842-8610-b085e4a30882 · inbound

RMSWeb: Reflection, Failure-Mode Mining, and Salvage-DS for Web Agent Reinforcement Learning cites this paper.

RMSWeb: Reflection, Failure-Mode Mining, and Salvage-DS for Web Agent Reinforcement Learning Is Your LLM Secretly a World Model of the Internet? Model-Based Planning for Web Agents

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-04T00:45:30.751970Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T00:45:30.751970Z digest=sha256:25b7e56c8ff62080e29c18475b573781476947577cc74af9e55efd43474b5541

Observation b8a2943c-721a-49f8-8ff9-961fe3bcce10 · inbound

AppDeltaWorld: Transition-Grounded Delta Code World Model for Mobile GUI Agents cites this paper.

AppDeltaWorld: Transition-Grounded Delta Code World Model for Mobile GUI Agents Is Your LLM Secretly a World Model of the Internet? Model-Based Planning for Web Agents

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-07T21:40:39.891950Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T21:40:39.891950Z digest=sha256:75669a6701cf1f2bf0c05b5798f29a6d06b77b3327f817a004d4f3c88685bf55