Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-07T15:27:03.187728Z
Paper Citation Record · LEDGER
lmgame-Bench: How Good are LLMs at Playing Games?
As of 19 August 2026, this Paper Citation Record lists 100 of 115 outbound references and 22 inbound Pith citation observations for arXiv:2505.15146.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T22:50:33.015304Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Reference resolution
100 of 115 outbound references displayed
- verified exact0
- verified fuzzy16
- unresolved81
- parse uncertain0
- malformed identifier1
- metadata mismatch2
External citation measurements
0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Outbound references
Observation a7e70288-ebc0-4e09-82a6-f0ea6f228c64 · outbound
This paper cites OpenAI Gym.
lmgame-Bench: How Good are LLMs at Playing Games? OpenAI Gym
Reference 1
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:26:55.977387Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 131c4169-85b2-400a-865b-adda2c05762f · outbound
This paper cites Gymnasium: A Standard Interface for Reinforcement Learning Environments.
lmgame-Bench: How Good are LLMs at Playing Games? Gymnasium: A Standard Interface for Reinforcement Learning Environments
Reference 2
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:26:56.072057Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ba224b0f-9985-4a21-bb0e-6fa7100a6c5c · outbound
This paper cites RAGEN: Understanding Self-Evolution in LLM Agents via Multi-Turn Reinforcement Learning.
lmgame-Bench: How Good are LLMs at Playing Games? RAGEN: Understanding Self-Evolution in LLM Agents via Multi-Turn Reinforcement Learning
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:26:56.140833Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 14a9e272-3755-4f82-8ebb-4c5d0b603de9 · outbound
This paper cites SWEET-RL: Training Multi-Turn LLM Agents on Collaborative Reasoning Tasks.
lmgame-Bench: How Good are LLMs at Playing Games? SWEET-RL: Training Multi-Turn LLM Agents on Collaborative Reasoning Tasks
Reference 4
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:26:56.255061Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1d9d2fe6-ad2e-4a8c-ae80-807da734ae0b · outbound
This paper cites In Globerson, A., Mackey, L., Belgrave, D., Fan, A., Paquet, U., Tomczak, J., Zhang, C., eds.: Advances in Neural Information Processing Systems.
lmgame-Bench: How Good are LLMs at Playing Games? In Globerson, A., Mackey, L., Belgrave, D., Fan, A., Paquet, U., Tomczak, J., Zhang, C., eds.: Advances in Neural Information Processing Systems
Reference 5
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:26:56.363888Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6d0d7fbc-84b1-43ad-a74d-6b37e571ae55 · outbound
This paper cites an unresolved cited work.
lmgame-Bench: How Good are LLMs at Playing Games? Unresolved cited work
Reference 6
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:26:56.453904Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation babc8d0b-adff-4d21-9ae3-ee3d6a759645 · outbound
This paper cites an unresolved cited work.
lmgame-Bench: How Good are LLMs at Playing Games? Unresolved cited work
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:26:56.552570Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 57530e12-cda5-41fe-bf7f-6574601f213e · outbound
This paper cites EnigmaEval: A Benchmark of Long Multimodal Reasoning Challenges.
lmgame-Bench: How Good are LLMs at Playing Games? EnigmaEval: A Benchmark of Long Multimodal Reasoning Challenges
Reference 8
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:26:56.639836Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a0ca5e66-1c30-491b-9df9-19c7522ef01d · outbound
This paper cites an unresolved cited work.
lmgame-Bench: How Good are LLMs at Playing Games? Unresolved cited work
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:26:56.720112Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fc84ddec-7530-45b2-aa78-08091fdbc4a6 · outbound
This paper cites BALROG: Benchmarking Agentic LLM and VLM Reasoning On Games.
lmgame-Bench: How Good are LLMs at Playing Games? BALROG: Benchmarking Agentic LLM and VLM Reasoning On Games
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:26:56.816724Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7e38bd61-6f22-4a25-8709-7c5227b6d909 · outbound
This paper cites GameBench: Evaluating Strategic Reasoning Abilities of LLM Agents.
lmgame-Bench: How Good are LLMs at Playing Games? GameBench: Evaluating Strategic Reasoning Abilities of LLM Agents
Reference 11
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:26:56.894546Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation feb50f57-f0b3-4573-880d-350a08c99f3b · outbound
This paper cites SmartPlay: A Benchmark for LLMs as Intelligent Agents.
lmgame-Bench: How Good are LLMs at Playing Games? SmartPlay: A Benchmark for LLMs as Intelligent Agents
Reference 12
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:26:57.020933Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6aa6771e-9efd-40a8-8ccd-f8cd596c8f53 · outbound
This paper cites IEEE Transactions on Games11(3) (2019) 195–202.
lmgame-Bench: How Good are LLMs at Playing Games? IEEE Transactions on Games11(3) (2019) 195–202
Reference 13
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:26:57.127873Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 97837f3f-1fdd-4b8d-9c47-82e019956ede · outbound
This paper cites AI Magazine22(2) (2001) 15–25.
lmgame-Bench: How Good are LLMs at Playing Games? AI Magazine22(2) (2001) 15–25
Reference 14
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:26:57.204676Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 14041c05-4acb-4b6b-bb51-360566b36a2b · outbound
This paper cites Thinking in Space: How Multimodal Large Language Models See, Remember, and Recall Spaces.
lmgame-Bench: How Good are LLMs at Playing Games? Thinking in Space: How Multimodal Large Language Models See, Remember, and Recall Spaces
Reference 15
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:26:57.341174Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2607c706-b810-4f3e-a02e-76c5f1a9e56e · outbound
This paper cites Atari-GPT: Benchmarking Multimodal Large Language Models as Low-Level Policies in Atari Games.
lmgame-Bench: How Good are LLMs at Playing Games? Atari-GPT: Benchmarking Multimodal Large Language Models as Low-Level Policies in Atari Games
Reference 16
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:26:57.413647Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 42618b84-232d-4f90-b0d7-8e954d3735c2 · outbound
This paper cites Can LLM-Augmented autonomous agents cooperate?, An evaluation of their cooperative capabilities through Melting Pot.
lmgame-Bench: How Good are LLMs at Playing Games? Can LLM-Augmented autonomous agents cooperate?, An evaluation of their cooperative capabilities through Melting Pot
Reference 17
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-08-07T15:27:03.886471Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 0e90353b-7af8-4f73-8b05-213dc2a49d13 · outbound
This paper cites an unresolved cited work.
lmgame-Bench: How Good are LLMs at Playing Games? Unresolved cited work
Reference 18
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:26:57.604725Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3c06fd2b-4bce-456f-ae46-6b275c790620 · outbound
This paper cites OpenAI o1 System Card.
lmgame-Bench: How Good are LLMs at Playing Games? OpenAI o1 System Card
Reference 19
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:26:57.709482Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e2613515-e9ef-4538-b0cb-848ce7429f6a · outbound
This paper cites an unresolved cited work.
lmgame-Bench: How Good are LLMs at Playing Games? Unresolved cited work
Reference 20
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:26:57.792901Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f282f996-6b9a-4e1f-8578-ad4a26aa3d85 · outbound
This paper cites In ICAPS.
Reference 21
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:26:57.864760Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5ed9dfa1-d833-40fa-af0e-82ebf70154f0 · outbound
This paper cites Applied cognitive psychology31(4) (2017) 438–445.
lmgame-Bench: How Good are LLMs at Playing Games? Applied cognitive psychology31(4) (2017) 438–445
Reference 22
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:26:57.936132Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a3791a52-c555-4ec5-bb2f-a3ea2101db68 · outbound
This paper cites In International Computing and Combinatorics Conference (COCOON).
lmgame-Bench: How Good are LLMs at Playing Games? In International Computing and Combinatorics Conference (COCOON)
Reference 23
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:26:58.046424Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a661cdd9-5b21-433f-b165-7d7818203605 · outbound
This paper cites an unresolved cited work.
lmgame-Bench: How Good are LLMs at Playing Games? Unresolved cited work
Reference 24
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:26:58.163042Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 458995a7-b87c-48cf-892d-495c8af4cd2b · outbound
This paper cites an unresolved cited work.
lmgame-Bench: How Good are LLMs at Playing Games? Unresolved cited work
Reference 25
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:26:58.220901Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 68d50081-a23e-4b11-ad68-4a9665b646da · outbound
This paper cites arXiv (2024).
lmgame-Bench: How Good are LLMs at Playing Games? arXiv (2024)
Reference 26
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:26:58.280311Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation eadfffa4-9db8-4542-9f36-cc139a0416a3 · outbound
This paper cites arXiv (2025).
lmgame-Bench: How Good are LLMs at Playing Games? arXiv (2025)
Reference 27
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:26:58.353668Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b9973ff4-17fc-4c65-a76e-ebac676753b3 · outbound
This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.
lmgame-Bench: How Good are LLMs at Playing Games? DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
Reference 28
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:26:58.427826Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 24d32840-27ff-4a3a-95c4-4e9206bb84f4 · outbound
This paper cites Computational Geometry 13(4) (1999) 215–228.
lmgame-Bench: How Good are LLMs at Playing Games? Computational Geometry 13(4) (1999) 215–228
Reference 29
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:26:58.487599Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 315386b0-a926-4c90-b7d8-da2b71f4b8b2 · outbound
This paper cites A Simple Family of Analytical Trumpet Slices of the Schwarzschild Spacetime.
lmgame-Bench: How Good are LLMs at Playing Games? A Simple Family of Analytical Trumpet Slices of the Schwarzschild Spacetime
Reference 30
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-08-07T15:27:03.824241Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation df103d95-f26f-4379-a55b-5e402af91911 · outbound
This paper cites Generalization or Memorization: Data Contamination and Trustworthy Evaluation for Large Language Models.
lmgame-Bench: How Good are LLMs at Playing Games? Generalization or Memorization: Data Contamination and Trustworthy Evaluation for Large Language Models
Reference 31
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:26:58.602648Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b6f11591-6ffc-4ad2-a2a3-a1758280f791 · outbound
This paper cites The Secret Sharer: Evaluating and Testing Unintended Memorization in Neural Networks.
lmgame-Bench: How Good are LLMs at Playing Games? The Secret Sharer: Evaluating and Testing Unintended Memorization in Neural Networks
Reference 32
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:26:58.673836Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 779eca80-188b-4c50-852e-178d48195594 · outbound
This paper cites an unresolved cited work.
lmgame-Bench: How Good are LLMs at Playing Games? Unresolved cited work
Reference 33
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:26:58.734689Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c90c83f6-52ab-4545-84d1-3304d47f63c3 · outbound
This paper cites an unresolved cited work.
lmgame-Bench: How Good are LLMs at Playing Games? Unresolved cited work
Reference 34
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:26:58.819840Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5a38610f-7acc-42ac-a56d-c9ab3c9d4908 · outbound
This paper cites Cradle: Empowering Foundation Agents Towards General Computer Control.
lmgame-Bench: How Good are LLMs at Playing Games? Cradle: Empowering Foundation Agents Towards General Computer Control
Reference 35
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:26:58.872288Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 091a4179-5910-422c-8688-a32d3cb84c84 · outbound
This paper cites In The Twelfth International Conference on Learning Representations.
lmgame-Bench: How Good are LLMs at Playing Games? In The Twelfth International Conference on Learning Representations
Reference 36
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:26:58.941657Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e14d8a20-afe8-440c-b5d0-b4b75a82f599 · outbound
This paper cites an unresolved cited work.
lmgame-Bench: How Good are LLMs at Playing Games? Unresolved cited work
Reference 37
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:26:59.038784Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1f4eaf26-1294-4981-812f-a1f1136a981e · outbound
This paper cites Measuring Massive Multitask Language Understanding.
lmgame-Bench: How Good are LLMs at Playing Games? Measuring Massive Multitask Language Understanding
Reference 38
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:26:59.115491Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 78264078-8bb5-473a-a8db-9465570d5a75 · outbound
This paper cites Humanity's Last Exam.
lmgame-Bench: How Good are LLMs at Playing Games? Humanity's Last Exam
Reference 39
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:26:59.189173Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5215fa44-fcc9-4428-ac26-30c80fcaa06c · outbound
This paper cites https://scale.com/leaderboard/ humanitys_last_examAccessed: 2025-05-14.
lmgame-Bench: How Good are LLMs at Playing Games? https://scale.com/leaderboard/ humanitys_last_examAccessed: 2025-05-14
Reference 40
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:26:59.256804Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fa21a2a7-b374-4ee5-8416-5e1e6fa90698 · outbound
This paper cites an unresolved cited work.
lmgame-Bench: How Good are LLMs at Playing Games? Unresolved cited work
Reference 41
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:26:59.333175Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 05197398-9457-479b-8f9b-c55b05938893 · outbound
This paper cites GPQA: A Graduate-Level Google-Proof Q&A Benchmark.
lmgame-Bench: How Good are LLMs at Playing Games? GPQA: A Graduate-Level Google-Proof Q&A Benchmark
Reference 42
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:26:59.405000Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 18401cb3-ae82-436f-a734-1c1b8cf03368 · outbound
This paper cites https://www.vals.ai/benchmarks/ gpqa-05-09-2025Accessed: 2025-05-14.
lmgame-Bench: How Good are LLMs at Playing Games? https://www.vals.ai/benchmarks/ gpqa-05-09-2025Accessed: 2025-05-14
Reference 43
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:26:59.464341Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c0b9f034-2e97-42c1-bb1a-d5525b541192 · outbound
This paper cites PHYBench: Holistic Evaluation of Physical Perception and Reasoning in Large Language Models.
lmgame-Bench: How Good are LLMs at Playing Games? PHYBench: Holistic Evaluation of Physical Perception and Reasoning in Large Language Models
Reference 44
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:26:59.524310Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8cafd74e-8f58-4fde-a158-02ea21ec09c9 · outbound
This paper cites Can MLLMs Reason in Multimodality? EMMA: An Enhanced MultiModal ReAsoning Benchmark.
lmgame-Bench: How Good are LLMs at Playing Games? Can MLLMs Reason in Multimodality? EMMA: An Enhanced MultiModal ReAsoning Benchmark
Reference 45
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:26:59.566161Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation cce49f77-c6ae-4fb2-aab9-75b4ec1248d6 · outbound
This paper cites https://www.vals.ai/benchmarks/ math500-05-09-2025Accessed: 2025-05-14.
lmgame-Bench: How Good are LLMs at Playing Games? https://www.vals.ai/benchmarks/ math500-05-09-2025Accessed: 2025-05-14
Reference 46
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:26:59.676392Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 90b9f4e3-156d-4664-aee1-57fb91077fdf · outbound
This paper cites arXiv preprint arXiv:2410.03131 (2024).
lmgame-Bench: How Good are LLMs at Playing Games? arXiv preprint arXiv:2410.03131 (2024)
Reference 47
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:26:59.788838Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fd08dd1e-6fbf-48a1-98b3-78fd6a87369b · outbound
This paper cites https://www.vals.ai/benchmarks/ aime-2025-05-09Accessed: 2025-05-14.
lmgame-Bench: How Good are LLMs at Playing Games? https://www.vals.ai/benchmarks/ aime-2025-05-09Accessed: 2025-05-14
Reference 48
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:26:59.975697Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b2b1ae1a-b149-46a6-8cf8-7810df23e33b · outbound
This paper cites LiveBench: A Challenging, Contamination-Limited LLM Benchmark.
lmgame-Bench: How Good are LLMs at Playing Games? LiveBench: A Challenging, Contamination-Limited LLM Benchmark
Reference 49
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:27:00.152304Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 57ad3dd4-a046-4304-b642-c79511ba15da · outbound
This paper cites https://livebench.ai/#/?Coding=a& Mathematics=a&Data+Analysis=a&Language=a&IF=aAccessed: 2025-05-14.
lmgame-Bench: How Good are LLMs at Playing Games? https://livebench.ai/#/?Coding=a& Mathematics=a&Data+Analysis=a&Language=a&IF=aAccessed: 2025-05-14
Reference 50
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:27:00.352797Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 57249563-1ef7-4de2-a8ef-873d95490edd · outbound
This paper cites BigCodeBench: Benchmarking Code Generation with Diverse Function Calls and Complex Instructions.
lmgame-Bench: How Good are LLMs at Playing Games? BigCodeBench: Benchmarking Code Generation with Diverse Function Calls and Complex Instructions
Reference 51
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:27:00.559765Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 417548ee-d2f4-4b93-a41b-3768f88ef4a6 · outbound
This paper cites https://aider.chat/docs/leaderboards/ Ac- cessed: 2025-05-14.
lmgame-Bench: How Good are LLMs at Playing Games? https://aider.chat/docs/leaderboards/ Ac- cessed: 2025-05-14
Reference 52
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:27:00.736996Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f74dbb8d-05cd-47d5-805c-429e6fb2df25 · outbound
This paper cites https://bigcode-bench.github.io/ Accessed: 2025-05-14.
lmgame-Bench: How Good are LLMs at Playing Games? https://bigcode-bench.github.io/ Accessed: 2025-05-14
Reference 53
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:27:00.875924Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5f981890-9fcb-428b-ba47-a854b244afe3 · outbound
This paper cites https://scale.
lmgame-Bench: How Good are LLMs at Playing Games? https://scale
Reference 54
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:27:00.977620Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1b3e83b5-e1af-4700-83e5-b546bd993e2a · outbound
This paper cites https://lmarena.ai/leaderboard Accessed: 2025-05-14.
lmgame-Bench: How Good are LLMs at Playing Games? https://lmarena.ai/leaderboard Accessed: 2025-05-14
Reference 55
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:27:00.981839Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c8b4e03f-6aa8-40d0-9580-048940736906 · outbound
This paper cites MMMU: A Massive Multi-discipline Multimodal Understanding and Reasoning Benchmark for Expert AGI.
lmgame-Bench: How Good are LLMs at Playing Games? MMMU: A Massive Multi-discipline Multimodal Understanding and Reasoning Benchmark for Expert AGI
Reference 56
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:27:00.986636Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 46b6f099-93db-472a-bbb9-5991bf80b0b2 · outbound
This paper cites https://www.vals.ai/benchmarks/ mmmu-05-09-2025Accessed: 2025-05-14.
lmgame-Bench: How Good are LLMs at Playing Games? https://www.vals.ai/benchmarks/ mmmu-05-09-2025Accessed: 2025-05-14
Reference 57
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:27:01.031667Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8158aad3-a061-4172-a5e1-392d3e4fa3a4 · outbound
This paper cites MultiChallenge: A Realistic Multi-Turn Conversation Evaluation Benchmark Challenging to Frontier LLMs.
lmgame-Bench: How Good are LLMs at Playing Games? MultiChallenge: A Realistic Multi-Turn Conversation Evaluation Benchmark Challenging to Frontier LLMs
Reference 58
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:27:01.110876Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3e400887-44cc-4397-99cf-e6dcb36ebaa9 · outbound
This paper cites https://scale.com/leaderboard/ multichallengeAccessed: 2025-05-14.
lmgame-Bench: How Good are LLMs at Playing Games? https://scale.com/leaderboard/ multichallengeAccessed: 2025-05-14
Reference 59
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:27:01.208322Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e543a205-cfd9-4a73-8081-570c10c774b0 · outbound
This paper cites https://scale.com/leaderboard/ enigma_evalAccessed: 2025-05-14.
lmgame-Bench: How Good are LLMs at Playing Games? https://scale.com/leaderboard/ enigma_evalAccessed: 2025-05-14
Reference 60
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:27:01.299976Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d1b43e71-9dfc-4115-b0db-dde5f55ad797 · outbound
This paper cites an unresolved cited work.
lmgame-Bench: How Good are LLMs at Playing Games? Unresolved cited work
Reference 61
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:27:01.362623Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9b944751-7bca-4f85-a541-36dd67dd2b0b · outbound
This paper cites https://github.com/mpSchrader/gym-sokoban (2018).
lmgame-Bench: How Good are LLMs at Playing Games? https://github.com/mpSchrader/gym-sokoban (2018)
Reference 62
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:27:01.442781Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 942416c6-c81b-4b08-a263-8b1b5a540611 · outbound
This paper cites https://github.com/jaybutera/ tetrisRL(2023) GitHub repository.
lmgame-Bench: How Good are LLMs at Playing Games? https://github.com/jaybutera/ tetrisRL(2023) GitHub repository
Reference 63
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T15:27:04.626893Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 086da939-2779-4dbc-9d8a-e528b44e84a9 · outbound
This paper cites Qwen2.5 Technical Report.
lmgame-Bench: How Good are LLMs at Playing Games? Qwen2.5 Technical Report
Reference 64
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:27:01.523920Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation cf891336-6b2c-40d8-abd9-19785f67c849 · outbound
This paper cites Communications of the ACM 38(3) (1995) 58–68.
lmgame-Bench: How Good are LLMs at Playing Games? Communications of the ACM 38(3) (1995) 58–68
Reference 65
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T15:27:04.609837Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation b0d4f444-27e6-4395-a8e0-5ae73574d782 · outbound
This paper cites nature550(7676) (2017) 354–359.
lmgame-Bench: How Good are LLMs at Playing Games? nature550(7676) (2017) 354–359
Reference 66
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T15:27:04.592570Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 04da8a84-7fdb-4484-9b9a-ef622d288117 · outbound
This paper cites In The Thirty-eight Conference on Neural Information Processing Systems Datasets and Benchmarks Track.
lmgame-Bench: How Good are LLMs at Playing Games? In The Thirty-eight Conference on Neural Information Processing Systems Datasets and Benchmarks Track
Reference 67
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T15:27:04.576974Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation f9065042-7769-4785-a445-20b67486def2 · outbound
This paper cites Factorio Learning Environment.
lmgame-Bench: How Good are LLMs at Playing Games? Factorio Learning Environment
Reference 68
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:27:01.689046Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9a6fa030-734c-47ee-ad2d-e8c8af2764d1 · outbound
This paper cites In The Thirty-eight Conference on Neural Information Processing Systems Datasets and Benchmarks Track.
lmgame-Bench: How Good are LLMs at Playing Games? In The Thirty-eight Conference on Neural Information Processing Systems Datasets and Benchmarks Track
Reference 69
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T15:27:04.560892Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 16b11839-c133-4a36-bcd0-05ae76aa1262 · outbound
This paper cites TextGames: Learning to Self-Play Text-Based Puzzle Games via Language Model Reasoning.
lmgame-Bench: How Good are LLMs at Playing Games? TextGames: Learning to Self-Play Text-Based Puzzle Games via Language Model Reasoning
Reference 70
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:27:01.826741Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ef4dd5ca-d0f2-4830-a96b-26312327dea1 · outbound
This paper cites GameEval: Evaluating LLMs on Conversational Games.
lmgame-Bench: How Good are LLMs at Playing Games? GameEval: Evaluating LLMs on Conversational Games
Reference 71
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:27:01.892670Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ff01265b-d150-4cf4-bf94-37cd01ea52a9 · outbound
This paper cites GameArena: Evaluating LLM Reasoning through Live Computer Games.
lmgame-Bench: How Good are LLMs at Playing Games? GameArena: Evaluating LLM Reasoning through Live Computer Games
Reference 72
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:27:01.953231Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6a8c9fc0-bf4f-4d18-a4ec-336252fdc380 · outbound
This paper cites SWE-bench: Can Language Models Resolve Real-World GitHub Issues?.
lmgame-Bench: How Good are LLMs at Playing Games? SWE-bench: Can Language Models Resolve Real-World GitHub Issues?
Reference 73
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:27:02.019566Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 93c0d409-ab27-49cb-8248-b6a7e5e39c44 · outbound
This paper cites WebArena: A Realistic Web Environment for Building Autonomous Agents.
lmgame-Bench: How Good are LLMs at Playing Games? WebArena: A Realistic Web Environment for Building Autonomous Agents
Reference 74
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:27:02.059918Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 71003540-eb94-4f0a-8628-80fdb703865a · outbound
This paper cites WebVoyager: Building an End-to-End Web Agent with Large Multimodal Models.
lmgame-Bench: How Good are LLMs at Playing Games? WebVoyager: Building an End-to-End Web Agent with Large Multimodal Models
Reference 75
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:27:02.065525Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fbbce248-f0d4-44ce-9218-ff4a600c30a9 · outbound
This paper cites AppWorld: A Controllable World of Apps and People for Benchmarking Interactive Coding Agents.
lmgame-Bench: How Good are LLMs at Playing Games? AppWorld: A Controllable World of Apps and People for Benchmarking Interactive Coding Agents
Reference 76
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:27:02.082501Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 55c10a9a-0b26-4173-92d4-352510af82cc · outbound
This paper cites Advances in Neural Information Processing Systems37(2024) 52040–52094.
lmgame-Bench: How Good are LLMs at Playing Games? Advances in Neural Information Processing Systems37(2024) 52040–52094
Reference 77
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T15:27:04.545710Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 23603768-7adc-4214-82f5-134ebcf65371 · outbound
This paper cites an unresolved cited work.
lmgame-Bench: How Good are LLMs at Playing Games? Unresolved cited work
Reference 78
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T15:27:04.528964Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation ab6ef914-7e02-48fc-ac4c-3a0923f26339 · outbound
This paper cites In The Twelfth International Conference on Learning Representations.
lmgame-Bench: How Good are LLMs at Playing Games? In The Twelfth International Conference on Learning Representations
Reference 79
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T15:27:04.513351Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation ac079a74-203a-44ca-a45c-7e4e7b81e5a3 · outbound
This paper cites Advances in neural information processing systems37(2024) 110935–110971.
lmgame-Bench: How Good are LLMs at Playing Games? Advances in neural information processing systems37(2024) 110935–110971
Reference 80
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T15:27:04.497010Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation dd33cdcf-25ab-4ac1-8e0a-508f1a56a9f0 · outbound
This paper cites Proximal Policy Optimization Algorithms.
lmgame-Bench: How Good are LLMs at Playing Games? Proximal Policy Optimization Algorithms
Reference 81
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:27:02.348919Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f23d2550-8302-4b52-9bb2-70b39c762a73 · outbound
This paper cites Science10(3) (1995) 237–304.
lmgame-Bench: How Good are LLMs at Playing Games? Science10(3) (1995) 237–304
Reference 82
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T15:27:04.478783Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation d17c69fb-0447-4821-94ee-8b7e972aff5c · outbound
This paper cites DAPO: An Open-Source LLM Reinforcement Learning System at Scale.
lmgame-Bench: How Good are LLMs at Playing Games? DAPO: An Open-Source LLM Reinforcement Learning System at Scale
Reference 83
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:27:02.445271Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bc3d9d72-699d-4e55-a952-6d4994acc0ff · outbound
This paper cites Advances in Neural Information Processing Systems36(2023) 38975–38987.
lmgame-Bench: How Good are LLMs at Playing Games? Advances in Neural Information Processing Systems36(2023) 38975–38987
Reference 84
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T15:27:04.461822Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 87ddd352-621e-4aab-a607-a901a790b5ca · outbound
This paper cites Training Verifiers to Solve Math Word Problems.
lmgame-Bench: How Good are LLMs at Playing Games? Training Verifiers to Solve Math Word Problems
Reference 85
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:27:02.575808Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 102da256-cfb9-408f-8b4a-80014645a6b9 · outbound
This paper cites Advances in Neural Information Processing Systems36(2024).
lmgame-Bench: How Good are LLMs at Playing Games? Advances in Neural Information Processing Systems36(2024)
Reference 86
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T15:27:04.444914Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 25bdbe78-156d-4464-be03-03384ac850ac · outbound
This paper cites Advances in Neural Information Processing Systems 35(2022) 20744–20757.
lmgame-Bench: How Good are LLMs at Playing Games? Advances in Neural Information Processing Systems 35(2022) 20744–20757
Reference 87
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T15:27:04.426651Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 82404a63-dd5e-4dc3-bfea-47ec0b60f14c · outbound
This paper cites Biometrika30(1/2) (1938) 81–93.
lmgame-Bench: How Good are LLMs at Playing Games? Biometrika30(1/2) (1938) 81–93
Reference 88
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T15:27:04.409726Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 49d0ee1f-ec40-4b19-b216-87c56e6c6c61 · outbound
This paper cites In Proceedings of the 19th international conference on World wide web, ACM (2010) 577–586.
lmgame-Bench: How Good are LLMs at Playing Games? In Proceedings of the 19th international conference on World wide web, ACM (2010) 577–586
Reference 89
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T15:27:04.392662Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 4f03dc3a-ea7e-47b1-8691-d7281719da5a · outbound
This paper cites Educational Researcher5(10) (1976) 3–8.
lmgame-Bench: How Good are LLMs at Playing Games? Educational Researcher5(10) (1976) 3–8
Reference 90
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T15:27:04.376853Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation fb942280-1434-4e92-8e42-927df2631386 · outbound
This paper cites Block 1 is on top of block 3, block 3 is on top of block 2, and block 2 is on the table.
lmgame-Bench: How Good are LLMs at Playing Games? Block 1 is on top of block 3, block 3 is on top of block 2, and block 2 is on the table
Reference 91
- Resolution
- malformed identifier
- raw_fallback, observed 2026-08-07T15:27:04.361377Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 616a293f-add6-4048-8061-6e2fee8b6378 · outbound
This paper cites an unresolved cited work.
lmgame-Bench: How Good are LLMs at Playing Games? Unresolved cited work
Reference 92
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:27:02.911988Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9dda3d17-5a70-466d-8d56-55981e5b0ef1 · outbound
This paper cites an unresolved cited work.
lmgame-Bench: How Good are LLMs at Playing Games? Unresolved cited work
Reference 93
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:27:02.950794Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e1830c7f-0d00-443b-9b70-32409578e2b0 · outbound
This paper cites an unresolved cited work.
lmgame-Bench: How Good are LLMs at Playing Games? Unresolved cited work
Reference 94
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:27:03.032310Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 56d4f2d6-0d9a-4a9e-8129-55c3b56a358f · outbound
This paper cites an unresolved cited work.
lmgame-Bench: How Good are LLMs at Playing Games? Unresolved cited work
Reference 95
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:27:03.119984Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fff924be-933e-4c74-bb34-f0059920b182 · outbound
This paper cites up", "down.
lmgame-Bench: How Good are LLMs at Playing Games? up", "down
Reference 96
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T15:27:04.304373Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation ce3e4880-c2cc-45a0-ae20-063acc143f72 · outbound
This paper cites an unresolved cited work.
lmgame-Bench: How Good are LLMs at Playing Games? Unresolved cited work
Reference 97
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:27:03.171436Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f08e1eca-d190-4a28-b8c3-50d5a956d03c · outbound
This paper cites an unresolved cited work.
lmgame-Bench: How Good are LLMs at Playing Games? Unresolved cited work
Reference 98
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:27:03.177177Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1025f4c9-f81b-4b4d-b541-07f78456c050 · outbound
This paper cites an unresolved cited work.
lmgame-Bench: How Good are LLMs at Playing Games? Unresolved cited work
Reference 99
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:27:03.182638Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c58fb195-9556-4c8d-ae4b-178daf346b75 · outbound
This paper cites an unresolved cited work.
lmgame-Bench: How Good are LLMs at Playing Games? Unresolved cited work
Reference 100
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:27:03.187728Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Pith citing papers
Observation 6eff8939-1f26-465a-9aab-d505c04f2523 · inbound
Game Theory Meets Large Language Models: A Systematic Survey with Taxonomy and New Frontiers cites this paper.
Game Theory Meets Large Language Models: A Systematic Survey with Taxonomy and New Frontiers lmgame-Bench: How Good are LLMs at Playing Games?
Reference 88
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T22:50:33.015304Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6b6def62-bd00-4966-905d-2beeba9e4b8f · inbound
Game Reasoning Arena: A Framework and Benchmark for Assessing Reasoning Capabilities of Large Language Models via Game Play cites this paper.
Game Reasoning Arena: A Framework and Benchmark for Assessing Reasoning Capabilities of Large Language Models via Game Play lmgame-Bench: How Good are LLMs at Playing Games?
Reference 4
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T04:33:42.500139Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c87a4664-3ed6-421e-bf53-762d56b3599c · inbound
UI-TARS-2 Technical Report: Advancing GUI Agent with Multi-Turn Reinforcement Learning cites this paper.
UI-TARS-2 Technical Report: Advancing GUI Agent with Multi-Turn Reinforcement Learning lmgame-Bench: How Good are LLMs at Playing Games?
Reference 25
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T10:13:59.184183Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 27ec31b8-d11b-4952-889c-a66ceb5987ad · inbound
A Survey of Reinforcement Learning for Large Reasoning Models cites this paper.
A Survey of Reinforcement Learning for Large Reasoning Models lmgame-Bench: How Good are LLMs at Playing Games?
Reference 203
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-18T00:05:31.526497Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation f8567ab9-4edc-49b5-a74d-036f1e741261 · inbound
Gym-V: A Unified Vision Environment System for Agentic Vision Research cites this paper.
Gym-V: A Unified Vision Environment System for Agentic Vision Research lmgame-Bench: How Good are LLMs at Playing Games?
Reference 7
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-15T10:05:26.044132Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 5f80c1c4-4c08-452c-a764-51911f301c29 · inbound
TriEx: A Game-based Tri-View Framework for Explaining Internal Reasoning in Multi-Agent LLMs cites this paper.
TriEx: A Game-based Tri-View Framework for Explaining Internal Reasoning in Multi-Agent LLMs lmgame-Bench: How Good are LLMs at Playing Games?
Reference 2
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-11T13:16:06.152542Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation e18a66e5-bba2-4612-b96a-11391a6046d7 · inbound
Co-Evolving LLM Decision and Skill Bank Agents for Long-Horizon Tasks cites this paper.
Co-Evolving LLM Decision and Skill Bank Agents for Long-Horizon Tasks lmgame-Bench: How Good are LLMs at Playing Games?
Reference 7
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-10T00:14:46.428384Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 1fb4d952-c576-432d-96bc-4165ca85794e · inbound
Odysseus: Scaling VLMs to 100+ Turn Decision-Making in Games via Reinforcement Learning cites this paper.
Odysseus: Scaling VLMs to 100+ Turn Decision-Making in Games via Reinforcement Learning lmgame-Bench: How Good are LLMs at Playing Games?
Reference 8
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-11T15:16:09.364638Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 70f766f4-694a-44b7-b27c-a41a16861d3c · inbound
MMSkills: Towards Multimodal Skills for General Visual Agents cites this paper.
MMSkills: Towards Multimodal Skills for General Visual Agents lmgame-Bench: How Good are LLMs at Playing Games?
Reference 12
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-14T19:07:51.419743Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 5d47647a-68a4-4f89-984d-0df532ab97c7 · inbound
MMSkills: Towards Multimodal Skills for General Visual Agents cites this paper.
MMSkills: Towards Multimodal Skills for General Visual Agents lmgame-Bench: How Good are LLMs at Playing Games?
Reference 12
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-15T05:59:48.141281Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 1d368f40-3266-41ea-8cdd-8b9fb6fa95df · inbound
MMSkills: Towards Multimodal Skills for General Visual Agents cites this paper.
MMSkills: Towards Multimodal Skills for General Visual Agents lmgame-Bench: How Good are LLMs at Playing Games?
Reference 12
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-06-30T21:35:04.559898Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation cfd7b7b2-11a5-41eb-8577-10df4fcd792b · inbound
WebGameBench: Requirement-to-Application Evaluation for Coding Agents via Browser-Native Games cites this paper.
WebGameBench: Requirement-to-Application Evaluation for Coding Agents via Browser-Native Games lmgame-Bench: How Good are LLMs at Playing Games?
Reference 33
- Resolution
- verified exact
- arxiv_id, observed 2026-05-20T12:28:17.261880Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 2049d76d-8774-4384-a78f-ba5c6d631ed4 · inbound
WebGameBench: Requirement-to-Application Evaluation for Coding Agents via Browser-Native Games cites this paper.
WebGameBench: Requirement-to-Application Evaluation for Coding Agents via Browser-Native Games lmgame-Bench: How Good are LLMs at Playing Games?
Reference 33
- Resolution
- verified exact
- arxiv_id, observed 2026-05-25T05:45:23.221897Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation cb5202f0-d7ec-4fae-b9ff-6d58f9651a63 · inbound
MINDGAMES: A Live Arena for Evaluating Social and Strategic Reasoning in Multi-Agent LLMs cites this paper.
MINDGAMES: A Live Arena for Evaluating Social and Strategic Reasoning in Multi-Agent LLMs lmgame-Bench: How Good are LLMs at Playing Games?
Reference 11
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-06-29T07:23:13.196706Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 23f86099-b0a4-427e-800a-d1b8d9bdeb5f · inbound
PTCG-Bench: Can LLM Agents Master Pok\'emon Trading Card Game? cites this paper.
PTCG-Bench: Can LLM Agents Master Pok\'emon Trading Card Game? lmgame-Bench: How Good are LLMs at Playing Games?
Reference 2
- Resolution
- verified exact
- arxiv_id, observed 2026-06-29T07:23:12.593221Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation cad8132a-3e76-4034-aed2-e4abc28a1d66 · inbound
Robots Need More than VLA and World Models cites this paper.
Robots Need More than VLA and World Models lmgame-Bench: How Good are LLMs at Playing Games?
Reference 152
- Resolution
- verified exact
- arxiv_id, observed 2026-06-28T01:11:28.899789Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation f4c3ebe9-e250-4a38-9fe2-063b44fa6a8c · inbound
OmniGameArena: A Unified UE5 Benchmark for VLM Game Agents with Improvement Dynamics cites this paper.
OmniGameArena: A Unified UE5 Benchmark for VLM Game Agents with Improvement Dynamics lmgame-Bench: How Good are LLMs at Playing Games?
Reference 44
- Resolution
- verified exact
- arxiv_id, observed 2026-07-03T01:07:29.947294Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 09f90fa0-57f8-4c7f-9529-c4a8dd5f4cc1 · 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 lmgame-Bench: How Good are LLMs at Playing Games?
Reference 116
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-06-27T09:50:48.495612Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 0be5c38e-8540-42a0-be0c-76e3c213b0e2 · inbound
RTSGameBench: An RTS Benchmark for Strategic Reasoning by Vision-Language Models cites this paper.
RTSGameBench: An RTS Benchmark for Strategic Reasoning by Vision-Language Models lmgame-Bench: How Good are LLMs at Playing Games?
Reference 19
- Resolution
- verified exact
- arxiv_id, observed 2026-07-04T00:39:17.299890Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 914f01fc-110b-4bcd-9f5a-dbb5aad4ede8 · inbound
Beyond the Current Observation: Evaluating Multimodal Large Language Models in Controllable Non-Markov Games cites this paper.
Beyond the Current Observation: Evaluating Multimodal Large Language Models in Controllable Non-Markov Games lmgame-Bench: How Good are LLMs at Playing Games?
Reference 27
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-04T00:19:13.718478Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 0c2486de-cfd0-4b84-97a8-f3b4a71f6f00 · inbound
AgentOdyssey: Open-Ended Long-Horizon Text Game Generation for Test-Time Continual Learning Agents cites this paper.
AgentOdyssey: Open-Ended Long-Horizon Text Game Generation for Test-Time Continual Learning Agents lmgame-Bench: How Good are LLMs at Playing Games?
Reference 15
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-01T19:46:11.447161Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation c51221f7-15e7-4980-ac29-d6e0cb128700 · inbound
CAST: Game Solvers as Turn-Level Teachers for LLM Agents cites this paper.
CAST: Game Solvers as Turn-Level Teachers for LLM Agents lmgame-Bench: How Good are LLMs at Playing Games?
Reference 11
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T02:58:29.283205Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.