Paper Citation Record · LEDGER

Qwen-AgentWorld: Language World Models for General Agents

As of 7 August 2026, this Paper Citation Record lists 72 of 72 outbound references and 2 inbound Pith citation observations for arXiv:2606.24597.

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

pith.paper-citation-record.v1
2606.24597 v1

Coverage vector

measured 72 of 72 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-25T23:52:31.403419Z

measured 74 of 74 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 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T11:24:49.234716Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

72 of 72 outbound references displayed

verified exact58
verified fuzzy0
unresolved3
parse uncertain0
malformed identifier1
metadata mismatch10

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c884a9f7-45c6-4d56-a02b-b543c1a27859 · outbound

This paper cites World Simulation with Video Foundation Models for Physical AI.

Qwen-AgentWorld: Language World Models for General Agents World Simulation with Video Foundation Models for Physical AI

Reference 1

Resolution: verified exact; local_arxiv, observed 2026-07-04T17:09:59.232510Z

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.

Observation c3552485-7028-4209-a0b6-7bbdd85169b2 · outbound

This paper cites V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning.

Qwen-AgentWorld: Language World Models for General Agents V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning

Reference 2

Resolution: verified exact; local_arxiv, observed 2026-07-04T17:09:59.294219Z

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.

Observation c8b32e41-2cc2-49fb-b061-3d242167867b · outbound

This paper cites WebGym: Scaling Training Environments for Visual Web Agents with Realistic Tasks.

Qwen-AgentWorld: Language World Models for General Agents WebGym: Scaling Training Environments for Visual Web Agents with Realistic Tasks

Reference 3

Resolution: verified exact; local_arxiv, observed 2026-07-04T17:09:59.275468Z

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.

Observation 5ceff0ef-7b8e-4b41-b5a2-60bcc9cc4182 · outbound

This paper cites Aut- oforge: Automated environment synthesis for agentic reinforcement learning.

Qwen-AgentWorld: Language World Models for General Agents Aut- oforge: Automated environment synthesis for agentic reinforcement learning

Reference 4

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T17:09:59.131148Z

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.

Observation 9cc1de77-076f-441b-a3f3-c35a1297a5d1 · outbound

This paper cites Mobiledreamer: Generative sketch world model for gui agent.

Qwen-AgentWorld: Language World Models for General Agents Mobiledreamer: Generative sketch world model for gui agent

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-07-04T17:09:59.298235Z

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.

Observation 20deb662-7493-467a-a6cd-69aab935d71d · outbound

This paper cites Safe and scalable web agent learning via recreated websites.arXiv preprint arXiv:2603.10505,.

Qwen-AgentWorld: Language World Models for General Agents Safe and scalable web agent learning via recreated websites.arXiv preprint arXiv:2603.10505,

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-07-04T17:09:59.140108Z

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.

Observation 165fd3fb-483c-4078-bce8-b5b817749f83 · outbound

This paper cites Kanishk Gandhi, Shivam Garg, Noah D.

Qwen-AgentWorld: Language World Models for General Agents Kanishk Gandhi, Shivam Garg, Noah D

Reference 7

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T17:09:59.258889Z

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.

Observation 123eb1a5-b289-4828-9ccc-8181e2b5222e · outbound

This paper cites Internalizing world models via self-play finetuning for agentic RL.arXiv preprint arXiv:2510.15047.

Qwen-AgentWorld: Language World Models for General Agents Internalizing world models via self-play finetuning for agentic RL.arXiv preprint arXiv:2510.15047

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-07-04T17:09:59.301546Z

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.

Observation bf338e7c-9bf4-4c7c-ad35-68bbe74f0d63 · outbound

This paper cites Z., Rokhlenko, O., Chiu-Webster, S., Hua, G., and Amiri, H.

Qwen-AgentWorld: Language World Models for General Agents Z., Rokhlenko, O., Chiu-Webster, S., Hua, G., and Amiri, H

Reference 9

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T17:09:59.218227Z

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.

Observation ea54ae67-70e7-494c-bfb2-4e2065699c1d · outbound

This paper cites Agentic World Modeling: Foundations, Capabilities, Laws, and Beyond.

Qwen-AgentWorld: Language World Models for General Agents Agentic World Modeling: Foundations, Capabilities, Laws, and Beyond

Reference 10

Resolution: verified exact; local_arxiv, observed 2026-07-04T17:09:59.269744Z

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.

Observation b6a1e46e-3283-4820-b5e0-edf18461067a · outbound

This paper cites General agents contain world models, even under partial observability and stochas- ticity.arXiv preprint arXiv:2602.03146,.

Qwen-AgentWorld: Language World Models for General Agents General agents contain world models, even under partial observability and stochas- ticity.arXiv preprint arXiv:2602.03146,

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-07-04T17:09:59.146388Z

Source-reported events for the cited work

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Observation 8b22ecba-2dde-43c3-a7b7-ff63e70257f1 · outbound

This paper cites Cwm: An open-weights llm for research on code generation with world models.

Qwen-AgentWorld: Language World Models for General Agents Cwm: An open-weights llm for research on code generation with world models

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-07-04T17:09:59.245046Z

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.

Observation bd8d107b-be74-4c2e-8ac9-9f1624d78735 · outbound

This paper cites Foundation world models for agents that learn, verify, and adapt reliably beyond static environments.arXiv preprint arXiv:2602.23997,.

Qwen-AgentWorld: Language World Models for General Agents Foundation world models for agents that learn, verify, and adapt reliably beyond static environments.arXiv preprint arXiv:2602.23997,

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-07-04T17:09:59.226501Z

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.

Observation 41f145a7-1dd3-4035-a6af-e84ced8e8b02 · outbound

This paper cites SWE-Bench Pro: Can AI Agents Solve Long-Horizon Software Engineering Tasks?.

Qwen-AgentWorld: Language World Models for General Agents SWE-Bench Pro: Can AI Agents Solve Long-Horizon Software Engineering Tasks?

Reference 14

Resolution: verified exact; local_arxiv, observed 2026-07-04T17:09:59.190044Z

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.

Observation fe33768d-bc53-4baa-bd3c-c85f8218ecce · outbound

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

Qwen-AgentWorld: Language World Models for General Agents DynaWeb: Model-Based Reinforcement Learning of Web Agents

Reference 15

Resolution: verified exact; local_arxiv, observed 2026-07-04T17:09:59.270768Z

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.

Observation a504d819-b31b-493f-8881-a75f96e33af8 · outbound

This paper cites Agent-World: Scaling Real-World Environment Synthesis for Evolving General Agent Intelligence.

Qwen-AgentWorld: Language World Models for General Agents Agent-World: Scaling Real-World Environment Synthesis for Evolving General Agent Intelligence

Reference 16

Resolution: verified exact; local_arxiv, observed 2026-07-04T17:09:59.193876Z

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.

Observation 920b32fd-2811-4e9f-bfe7-65505ce184bb · outbound

This paper cites WebFactory: Automated Compression of Foundational Language Intelligence into Grounded Web Agents.

Qwen-AgentWorld: Language World Models for General Agents WebFactory: Automated Compression of Foundational Language Intelligence into Grounded Web Agents

Reference 17

Resolution: verified exact; local_arxiv, observed 2026-07-04T17:09:59.266030Z

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.

Observation 9a8e4261-7149-48d1-8b52-f4ca13a5f9c2 · outbound

This paper cites SSRL: Self-Search Reinforcement Learning.

Qwen-AgentWorld: Language World Models for General Agents SSRL: Self-Search Reinforcement Learning

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-07-04T17:09:59.247985Z

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.

Observation 888b9476-13e0-42e6-b79e-b121f5d425fc · outbound

This paper cites Towards general agentic intelligence via environment scaling.arXiv preprint arXiv:2509.13311.

Qwen-AgentWorld: Language World Models for General Agents Towards general agentic intelligence via environment scaling.arXiv preprint arXiv:2509.13311

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-07-04T17:09:59.260464Z

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.

Observation 2da66700-dac3-40d8-911b-d8feee613265 · outbound

This paper cites davinci-env: Open swe environment synthesis at scale.arXiv preprint.

Qwen-AgentWorld: Language World Models for General Agents davinci-env: Open swe environment synthesis at scale.arXiv preprint

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-07-04T17:09:59.312509Z

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.

Observation 9096a288-ab3d-4d2f-b52e-bb3f9ad5386a · outbound

This paper cites Endless terminals: Scaling rl environments for terminal agents.

Qwen-AgentWorld: Language World Models for General Agents Endless terminals: Scaling rl environments for terminal agents

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-07-04T17:09:59.254963Z

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.

Observation 7409f2cd-c77c-46ff-856a-4ea35d9373f6 · outbound

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

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 2026-08-07T06:34:17.273281+00:00.

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

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

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.

Observation 9e6ab54e-b52e-41cf-a664-d973b16c3316 · outbound

This paper cites Computer-using world model.

Qwen-AgentWorld: Language World Models for General Agents Computer-using world model

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-07-04T17:09:59.151710Z

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.

Observation b48ae6fb-5bdc-4060-9a71-5ee77ac6435b · outbound

This paper cites Rubrics as Rewards: Reinforcement Learning Beyond Verifiable Domains.

Qwen-AgentWorld: Language World Models for General Agents Rubrics as Rewards: Reinforcement Learning Beyond Verifiable Domains

Reference 25

Resolution: verified exact; local_arxiv, observed 2026-07-04T17:09:59.278293Z

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.

Observation 0a5d5c6a-e989-44c9-b49e-71ef16b3772d · outbound

This paper cites Genenv: Difficulty-aligned co-evolution between llm agents and environment simulators.

Qwen-AgentWorld: Language World Models for General Agents Genenv: Difficulty-aligned co-evolution between llm agents and environment simulators

Reference 26

Resolution: verified exact; arxiv_id, observed 2026-07-04T17:09:59.255698Z

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.

Observation d4d4d6a4-dde0-4cfe-a0c7-9876f39614e7 · outbound

This paper cites Training Agents Inside of Scalable World Models.

Qwen-AgentWorld: Language World Models for General Agents Training Agents Inside of Scalable World Models

Reference 27

Resolution: verified exact; local_arxiv, observed 2026-07-04T17:09:59.263111Z

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.

Observation 156a21fa-1bd3-4f65-bd43-58504c58a07b · outbound

This paper cites EE-MCP: Self-Evolving MCP-GUI Agents via Automated Environment Generation and Experience Learning.

Qwen-AgentWorld: Language World Models for General Agents EE-MCP: Self-Evolving MCP-GUI Agents via Automated Environment Generation and Experience Learning

Reference 28

Resolution: verified exact; local_arxiv, observed 2026-07-04T17:09:59.147750Z

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.

Observation 714c1d9d-82a5-4918-8634-524107e20c67 · outbound

This paper cites World Model for Robot Learning: A Comprehensive Survey.

Qwen-AgentWorld: Language World Models for General Agents World Model for Robot Learning: A Comprehensive Survey

Reference 29

Resolution: verified exact; local_arxiv, observed 2026-07-04T17:09:59.188255Z

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.

Observation 295d9f5d-5591-4720-882e-fb9abd9a16cd · outbound

This paper cites arXiv preprint arXiv:2512.22336 , year=.

Qwen-AgentWorld: Language World Models for General Agents arXiv preprint arXiv:2512.22336 , year=

Reference 30

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T17:09:59.289940Z

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.

Observation fa62976d-6bf7-4958-a039-cb41cab250d9 · outbound

This paper cites Environment scaling for interactive agentic experience collection: A survey.

Qwen-AgentWorld: Language World Models for General Agents Environment scaling for interactive agentic experience collection: A survey

Reference 31

Resolution: verified exact; arxiv_id, observed 2026-07-04T17:09:59.235513Z

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.

Observation 625d3526-aa02-4003-9f49-2a933af05739 · outbound

This paper cites Weblica: Scalable and Reproducible Training Environments for Visual Web Agents.

Qwen-AgentWorld: Language World Models for General Agents Weblica: Scalable and Reproducible Training Environments for Visual Web Agents

Reference 32

Resolution: verified exact; local_arxiv, observed 2026-07-04T17:09:59.190870Z

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.

Observation 9757e403-3ef7-4129-8d2d-85f0365a40eb · outbound

This paper cites Generative Visual Code Mobile World Models.

Qwen-AgentWorld: Language World Models for General Agents Generative Visual Code Mobile World Models

Reference 33

Resolution: verified exact; local_arxiv, observed 2026-07-04T17:09:59.257361Z

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.

Observation 7902ef25-9e46-45e8-b98e-abec664320f1 · outbound

This paper cites A path towards autonomous machine intelligence version 0.9.

Qwen-AgentWorld: Language World Models for General Agents A path towards autonomous machine intelligence version 0.9

Reference 34

Resolution: unresolved; no resolver link, observed 2026-06-25T23:52:31.403419Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 99cf3f95-99bd-448c-8ba7-1700847f3b80 · outbound

This paper cites Code world models for general game playing.

Qwen-AgentWorld: Language World Models for General Agents Code world models for general game playing

Reference 35

Resolution: verified exact; arxiv_id, observed 2026-07-04T17:09:59.104487Z

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.

Observation 35ebcff8-2dc2-431d-b056-f69ee2ec7599 · outbound

This paper cites Worldllm: Improving llms’ world modeling using curiosity-driven theory-making.arXiv preprint arXiv:2506.06725.

Qwen-AgentWorld: Language World Models for General Agents Worldllm: Improving llms’ world modeling using curiosity-driven theory-making.arXiv preprint arXiv:2506.06725

Reference 36

Resolution: verified exact; arxiv_id, observed 2026-07-04T17:09:59.222345Z

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.

Observation 9a61f2ba-478e-4739-9076-9db5ac557047 · outbound

This paper cites 10 Guoqing Ma, Jia Zhu, Hanghui Guo, Weijie Shi, Yue Cui, Jiawei Shen, Zilong Li, and Yidan Liang.

Qwen-AgentWorld: Language World Models for General Agents 10 Guoqing Ma, Jia Zhu, Hanghui Guo, Weijie Shi, Yue Cui, Jiawei Shen, Zilong Li, and Yidan Liang

Reference 37

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T17:09:59.305464Z

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.

Observation f3398e06-780a-4ae9-a1f6-b8a254e93727 · outbound

This paper cites Terminal-Bench: Benchmarking Agents on Hard, Realistic Tasks in Command Line Interfaces.

Qwen-AgentWorld: Language World Models for General Agents Terminal-Bench: Benchmarking Agents on Hard, Realistic Tasks in Command Line Interfaces

Reference 38

Resolution: verified exact; local_arxiv, observed 2026-07-04T17:09:59.145138Z

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.

Observation ada0b222-2599-4b22-8323-ae855d4a2985 · outbound

This paper cites Transformers are Sample-Efficient World Models.

Qwen-AgentWorld: Language World Models for General Agents Transformers are Sample-Efficient World Models

Reference 39

Resolution: verified exact; arxiv_id, observed 2026-07-04T17:09:59.234082Z

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.

Observation 574f9b25-9d68-45db-b5da-bc5cc72fe339 · outbound

This paper cites Shishir G Patil, Huanzhi Mao, Fanjia Yan, Charlie Cheng-Jie Ji, Vishnu Suresh, Ion Stoica, and Joseph E Gonzalez.

Qwen-AgentWorld: Language World Models for General Agents Shishir G Patil, Huanzhi Mao, Fanjia Yan, Charlie Cheng-Jie Ji, Vishnu Suresh, Ion Stoica, and Joseph E Gonzalez

Reference 40

Resolution: unresolved; no resolver link, observed 2026-06-25T23:52:31.403419Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d529ab78-5877-4dce-b005-6898e0387dae · outbound

This paper cites GDPval: Evaluating AI Model Performance on Real-World Economically Valuable Tasks.

Qwen-AgentWorld: Language World Models for General Agents GDPval: Evaluating AI Model Performance on Real-World Economically Valuable Tasks

Reference 41

Resolution: verified exact; local_arxiv, observed 2026-07-04T17:09:59.241678Z

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.

Observation 8b7e9259-2523-45ed-87c5-63d8ddc968a5 · outbound

This paper cites Current agents fail to leverage world model as tool for foresight.arXivpreprint.

Qwen-AgentWorld: Language World Models for General Agents Current agents fail to leverage world model as tool for foresight.arXivpreprint

Reference 42

Resolution: verified exact; arxiv_id, observed 2026-07-04T17:09:59.278796Z

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.

Observation 5dcea91b-92ed-416f-827b-6b9fa4d9f7e2 · outbound

This paper cites Self-improving world modelling with latent actions.arXiv preprint arXiv:2602.06130,.

Qwen-AgentWorld: Language World Models for General Agents Self-improving world modelling with latent actions.arXiv preprint arXiv:2602.06130,

Reference 43

Resolution: verified exact; arxiv_id, observed 2026-07-04T17:09:59.284486Z

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.

Observation b32dbeba-613a-4f27-8cb5-2d49d90a3737 · outbound

This paper cites Qwen3.6-35B-A3B: Agentic coding power, now open to all, April 2026a.

Qwen-AgentWorld: Language World Models for General Agents Qwen3.6-35B-A3B: Agentic coding power, now open to all, April 2026a

Reference 44

Resolution: verified exact; arxiv_id, observed 2026-07-04T17:09:59.134031Z

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.

Observation 7f9019be-e56d-447b-8136-b355a97484c1 · outbound

This paper cites Aligning agentic world models via knowledgeable experience learning.

Qwen-AgentWorld: Language World Models for General Agents Aligning agentic world models via knowledgeable experience learning

Reference 45

Resolution: verified exact; arxiv_id, observed 2026-07-04T17:09:59.309322Z

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.

Observation 6aaffa37-6c59-4b02-afb1-1ee4663f2b90 · outbound

This paper cites General agents contain world models.

Qwen-AgentWorld: Language World Models for General Agents General agents contain world models

Reference 46

Resolution: verified exact; arxiv_id, observed 2026-07-04T17:09:59.242911Z

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.

Observation 77e052e2-d78c-4d40-a5b4-5177551e03ff · outbound

This paper cites Shen, Xinchi Qiu, Chenxi Whitehouse, Lisa Alazraki, Shashwat Goel, Francesco Barbieri, Timon Willi, Akhil Mathur, and Ilias Leontiadis.

Qwen-AgentWorld: Language World Models for General Agents Shen, Xinchi Qiu, Chenxi Whitehouse, Lisa Alazraki, Shashwat Goel, Francesco Barbieri, Timon Willi, Akhil Mathur, and Ilias Leontiadis

Reference 47

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T17:09:59.275738Z

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.

Observation ce925751-fc65-49c1-98ba-9712d5cf5f54 · outbound

This paper cites EnvScaler: Scaling Tool-Interactive Environments for LLM Agent via Programmatic Synthesis.

Qwen-AgentWorld: Language World Models for General Agents EnvScaler: Scaling Tool-Interactive Environments for LLM Agent via Programmatic Synthesis

Reference 48

Resolution: verified exact; local_arxiv, observed 2026-07-04T17:09:59.202115Z

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.

Observation 4c35dbe3-6545-40ba-9d29-9b0a869b2cc9 · outbound

This paper cites Scaling agents via continual pre-training.

Qwen-AgentWorld: Language World Models for General Agents Scaling agents via continual pre-training

Reference 49

Resolution: verified exact; arxiv_id, observed 2026-07-04T17:09:59.245778Z

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.

Observation b7e44d8e-843d-462d-ad2b-af0233ab18c2 · outbound

This paper cites ZeroSearch: Incentivize the Search Capability of LLMs without Searching.

Qwen-AgentWorld: Language World Models for General Agents ZeroSearch: Incentivize the Search Capability of LLMs without Searching

Reference 50

Resolution: verified exact; local_arxiv, observed 2026-07-04T17:09:59.265833Z

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.

Observation 07e5291b-3d6c-4bc6-aa4c-cc2a1118eef4 · outbound

This paper cites Swe-world: Building software engineering agents in docker-free environments.

Qwen-AgentWorld: Language World Models for General Agents Swe-world: Building software engineering agents in docker-free environments

Reference 51

Resolution: verified exact; arxiv_id, observed 2026-07-04T17:09:59.096849Z

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.

Observation a309d2a3-903a-40e4-a85e-35397e2dfc32 · outbound

This paper cites Democratizing Tool Learning with Environments Fully Simulated by a Free 8B Language Model.

Qwen-AgentWorld: Language World Models for General Agents Democratizing Tool Learning with Environments Fully Simulated by a Free 8B Language Model

Reference 52

Resolution: metadata mismatch; local_arxiv, observed 2026-07-04T17:09:59.121921Z

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.

Observation b784bfc2-fec1-404f-9513-c2400d5b1ffe · outbound

This paper cites Astra: Automated synthesis of agentic trajectories and reinforcement arenas.

Qwen-AgentWorld: Language World Models for General Agents Astra: Automated synthesis of agentic trajectories and reinforcement arenas

Reference 53

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T17:09:59.136992Z

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.

Observation 90722cdf-b2fd-4c7a-bc50-2ba583632b0d · outbound

This paper cites Scaleenv: Scaling environment synthesis from scratch for generalist interactive tool-use agent training.

Qwen-AgentWorld: Language World Models for General Agents Scaleenv: Scaling environment synthesis from scratch for generalist interactive tool-use agent training

Reference 54

Resolution: verified exact; arxiv_id, observed 2026-07-04T17:09:59.149175Z

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.

Observation a295f028-8659-47fd-ad69-cc118b670fce · outbound

This paper cites Diffusion models are real-time game engines.

Qwen-AgentWorld: Language World Models for General Agents Diffusion models are real-time game engines

Reference 55

Resolution: unresolved; no resolver link, observed 2026-06-25T23:52:31.403419Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0df4ba4a-50bb-4bf3-bb44-84de3a8933c0 · outbound

This paper cites Reward Hacking in the Era of Large Models: Mechanisms, Emergent Misalignment, Challenges.

Qwen-AgentWorld: Language World Models for General Agents Reward Hacking in the Era of Large Models: Mechanisms, Emergent Misalignment, Challenges

Reference 56

Resolution: verified exact; local_arxiv, observed 2026-07-04T17:09:59.252242Z

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.

Observation 43e30997-0f02-47a6-aade-cfa54c938a7c · outbound

This paper cites Autowebworld: Synthesizing infinite verifiable web environments via finite state machines.

Qwen-AgentWorld: Language World Models for General Agents Autowebworld: Synthesizing infinite verifiable web environments via finite state machines

Reference 57

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T17:09:59.251631Z

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.

Observation 07e17e51-1e70-43b6-8a67-5b893554a770 · outbound

This paper cites Pan: Aworldmodelforgeneral,interactable,andlong-horizonworldsimulation.

Qwen-AgentWorld: Language World Models for General Agents Pan: Aworldmodelforgeneral,interactable,andlong-horizonworldsimulation

Reference 58

Resolution: verified exact; arxiv_id, observed 2026-07-04T17:09:59.286259Z

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.

Observation a8637e07-e74c-4ee8-a583-a4fe3bf66058 · outbound

This paper cites SCALER:Synthetic Scalable Adaptive Learning Environment for Reasoning.

Qwen-AgentWorld: Language World Models for General Agents SCALER:Synthetic Scalable Adaptive Learning Environment for Reasoning

Reference 59

Resolution: verified exact; local_arxiv, observed 2026-07-04T17:09:59.119936Z

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.

Observation 48e9b2c7-f6e0-440a-916a-52a9d857c862 · outbound

This paper cites World models as an intermediary between agents and the real world.arXiv preprint arXiv:2602.00785,.

Qwen-AgentWorld: Language World Models for General Agents World models as an intermediary between agents and the real world.arXiv preprint arXiv:2602.00785,

Reference 60

Resolution: verified exact; arxiv_id, observed 2026-07-04T17:09:59.077704Z

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.

Observation 831bd70c-4da0-4207-a6b0-5e6b11923fb8 · outbound

This paper cites Learning Interactive Real-World Simulators.

Qwen-AgentWorld: Language World Models for General Agents Learning Interactive Real-World Simulators

Reference 61

Resolution: verified exact; local_arxiv, observed 2026-07-04T17:09:59.119149Z

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.

Observation 183187af-43a3-4752-a299-5428d91bb90a · outbound

This paper cites Claw-Eval: Towards Trustworthy Evaluation of Autonomous Agents.

Qwen-AgentWorld: Language World Models for General Agents Claw-Eval: Towards Trustworthy Evaluation of Autonomous Agents

Reference 62

Resolution: verified exact; local_arxiv, observed 2026-07-04T17:09:59.225967Z

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.

Observation 56d23919-8a72-4fc0-8a4f-c3b301ebc47b · outbound

This paper cites GLM-5: from Vibe Coding to Agentic Engineering.

Qwen-AgentWorld: Language World Models for General Agents GLM-5: from Vibe Coding to Agentic Engineering

Reference 63

Resolution: verified exact; local_arxiv, observed 2026-07-04T17:09:59.110551Z

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.

Observation b2d13abf-35c5-4890-858b-8701e787e150 · outbound

This paper cites Agent Learning via Early Experience.

Qwen-AgentWorld: Language World Models for General Agents Agent Learning via Early Experience

Reference 64

Resolution: verified exact; local_arxiv, observed 2026-07-04T17:09:59.206662Z

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.

Observation 253fe925-b3a0-4ef1-84f0-1130eba994d1 · outbound

This paper cites InfiniteWeb: Scalable Web Environment Synthesis for GUI Agent Training.

Qwen-AgentWorld: Language World Models for General Agents InfiniteWeb: Scalable Web Environment Synthesis for GUI Agent Training

Reference 65

Resolution: verified exact; local_arxiv, observed 2026-07-04T17:09:59.336757Z

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.

Observation 30300df4-0cef-445f-9d17-022f6917e65e · outbound

This paper cites Immersion in the github universe: Scaling coding agents to mastery.arXiv preprint arXiv:2602.09892.

Qwen-AgentWorld: Language World Models for General Agents Immersion in the github universe: Scaling coding agents to mastery.arXiv preprint arXiv:2602.09892

Reference 66

Resolution: verified exact; arxiv_id, observed 2026-07-04T17:09:59.334218Z

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.

Observation 2ca7d723-316a-48f5-9bba-a33f236ae8df · outbound

This paper cites Group Sequence Policy Optimization.

Qwen-AgentWorld: Language World Models for General Agents Group Sequence Policy Optimization

Reference 67

Resolution: verified exact; local_arxiv, observed 2026-07-04T17:09:59.330855Z

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.

Observation 3bb7de72-b4aa-4150-a383-d722f1891dd6 · outbound

This paper cites Code2world: A gui world model via renderable code generation.

Qwen-AgentWorld: Language World Models for General Agents Code2world: A gui world model via renderable code generation

Reference 68

Resolution: verified exact; arxiv_id, observed 2026-07-04T17:09:59.315659Z

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.

Observation c1008191-b010-487c-b0dd-a41e522c4603 · outbound

This paper cites Synthetic Sandbox for Training Machine Learning Engineering Agents.

Qwen-AgentWorld: Language World Models for General Agents Synthetic Sandbox for Training Machine Learning Engineering Agents

Reference 69

Resolution: verified exact; local_arxiv, observed 2026-07-04T17:09:59.319813Z

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.

Observation 67083a92-d293-4b1d-b1ac-97ea76abda57 · outbound

This paper cites Termigen: High-fidelity environment and robust trajectory synthesis for terminal agents.

Qwen-AgentWorld: Language World Models for General Agents Termigen: High-fidelity environment and robust trajectory synthesis for terminal agents

Reference 70

Resolution: verified exact; arxiv_id, observed 2026-07-04T17:09:59.325733Z

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.

Observation bd5190e1-4e18-4aac-99e0-3cfe3c585e27 · outbound

This paper cites Planner-r1: Reward shaping enables efficient agentic rl with smaller llms.

Qwen-AgentWorld: Language World Models for General Agents Planner-r1: Reward shaping enables efficient agentic rl with smaller llms

Reference 71

Resolution: verified exact; arxiv_id, observed 2026-07-04T17:09:59.328516Z

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.

Observation 76346819-083c-493d-9f51-c205f3c5ce76 · outbound

This paper cites File ▸ Print.

Qwen-AgentWorld: Language World Models for General Agents File ▸ Print

Reference 72

Resolution: malformed identifier; no resolver link, observed 2026-06-25T23:52:31.403419Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation b9e51083-23c5-4d3e-a302-bb7257ccee13 · inbound

JANUS: Foreseeing Latent Risk for Long-Horizon Agent Safety cites this paper.

JANUS: Foreseeing Latent Risk for Long-Horizon Agent Safety Qwen-AgentWorld: Language World Models for General Agents

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-01T11:24:49.234716Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 799e0d4f-f1f2-4c3d-a011-4fb7a698d29e · inbound

False Prophets: On the Security of World Models in Agentic Systems cites this paper.

False Prophets: On the Security of World Models in Agentic Systems Qwen-AgentWorld: Language World Models for General Agents

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-01T03:31:26.846642Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.