Paper Citation Record · LEDGER

GameDevBench: Evaluating Agentic Capabilities Through Game Development

As of 21 August 2026, this Paper Citation Record lists 65 of 65 outbound references and 2 inbound Pith citation observations for arXiv:2602.11103.

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

pith.paper-citation-record.v1
2602.11103 v2

Coverage vector

measured 65 of 65 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-03T00:15:57.293742Z

measured 67 of 67 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-14T17:25:37.713857Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-03T21:28:59.381633Z

Reference resolution

65 of 65 outbound references displayed

verified exact0
verified fuzzy0
unresolved63
parse uncertain1
malformed identifier1
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d82b5821-b436-4008-bca7-5aa00c2639f4 · outbound

This paper cites Introducing the model context protocol.

GameDevBench: Evaluating Agentic Capabilities Through Game Development Introducing the model context protocol

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-03T00:15:57.112059Z

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Observation 88830280-d0a2-4bea-89cf-e0507ec50946 · outbound

This paper cites Sima 2: A generalist embodied agent for virtual worlds.arXiv preprint arXiv:2512.04797, 2025.

GameDevBench: Evaluating Agentic Capabilities Through Game Development Sima 2: A generalist embodied agent for virtual worlds.arXiv preprint arXiv:2512.04797, 2025

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-03T00:15:57.115878Z

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Observation ef4cb9cf-5183-445f-be40-79f2008e24a6 · outbound

This paper cites Genie: Generative interactive environments.

GameDevBench: Evaluating Agentic Capabilities Through Game Development Genie: Generative interactive environments

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-03T00:15:57.119010Z

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Observation c9eb9137-21b2-4138-b5e5-0eafefe400ab · outbound

This paper cites Deep blue.Artificial intelligence, 134(1-2):57–83, 2002.

GameDevBench: Evaluating Agentic Capabilities Through Game Development Deep blue.Artificial intelligence, 134(1-2):57–83, 2002

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-03T00:15:57.122143Z

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Observation ed6eb0b3-d04d-49b5-b3d8-06ed71671291 · outbound

This paper cites Mle-bench: Evaluating machine learning agents on machine learning engineering, 2025.

GameDevBench: Evaluating Agentic Capabilities Through Game Development Mle-bench: Evaluating machine learning agents on machine learning engineering, 2025

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-03T00:15:57.125054Z

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Observation 836d6a1e-4527-4906-ae0a-d74cdca2bbe3 · outbound

This paper cites Slidechat: A large vision-language assistant for whole-slide pathology image understanding, 2025.

GameDevBench: Evaluating Agentic Capabilities Through Game Development Slidechat: A large vision-language assistant for whole-slide pathology image understanding, 2025

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-03T00:15:57.127986Z

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Observation 16559819-44ee-4261-a646-d8d35d046aab · outbound

This paper cites Edit-bench: Evaluating llm abilities to perform real-world instructed code edits, 2025.

GameDevBench: Evaluating Agentic Capabilities Through Game Development Edit-bench: Evaluating llm abilities to perform real-world instructed code edits, 2025

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-03T00:15:57.131077Z

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Observation fcb2b202-9aa7-4b7d-93aa-75f58f168f8e · outbound

This paper cites Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities.

GameDevBench: Evaluating Agentic Capabilities Through Game Development Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-03T00:15:57.133622Z

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Observation eda615d8-e5aa-48c5-8de2-9082a92e7df7 · outbound

This paper cites Human-level play in the game of diplomacy by combining language models with strategic reasoning.Science, 378(6624):1067–1074, 2022.

GameDevBench: Evaluating Agentic Capabilities Through Game Development Human-level play in the game of diplomacy by combining language models with strategic reasoning.Science, 378(6624):1067–1074, 2022

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-03T00:15:57.136411Z

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Observation 2c53c624-8521-4cf2-a035-07c29186582d · outbound

This paper cites The role of artificial intelligence in video game development.Kultura polisa, 20(3):50–67, 2023.

GameDevBench: Evaluating Agentic Capabilities Through Game Development The role of artificial intelligence in video game development.Kultura polisa, 20(3):50–67, 2023

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-03T00:15:57.139147Z

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Observation 27b7d508-be80-4339-8ac8-541db4c64a36 · outbound

This paper cites Large language models and games: A survey and roadmap.IEEE Transactions on Games, 2024.

GameDevBench: Evaluating Agentic Capabilities Through Game Development Large language models and games: A survey and roadmap.IEEE Transactions on Games, 2024

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-03T00:15:57.142116Z

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Observation 00418ee1-a69d-47eb-a94e-cf99b7091aaf · outbound

This paper cites Artificial intelligence usage in game development.

GameDevBench: Evaluating Agentic Capabilities Through Game Development Artificial intelligence usage in game development

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-03T00:15:57.145044Z

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Observation 80a70c10-cb48-496f-8d27-be967877aa77 · outbound

This paper cites Jimenez, John Yang, Alexander Wettig, Shunyu Yao, Kexin Pei, Ofir Press, and Karthik Narasimhan.

GameDevBench: Evaluating Agentic Capabilities Through Game Development Jimenez, John Yang, Alexander Wettig, Shunyu Yao, Kexin Pei, Ofir Press, and Karthik Narasimhan

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-03T00:15:57.147972Z

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Observation 612aa34d-1d6f-4722-816e-5cfff09f0bc8 · outbound

This paper cites The pokeagent challenge: Competitive and long-context learning at scale.

GameDevBench: Evaluating Agentic Capabilities Through Game Development The pokeagent challenge: Competitive and long-context learning at scale

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-03T00:15:57.150681Z

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Observation afa96943-4667-4d50-9527-0a18e4e8df3b · outbound

This paper cites Pok\'eChamp: an Expert-level Minimax Language Agent.

GameDevBench: Evaluating Agentic Capabilities Through Game Development Pok\'eChamp: an Expert-level Minimax Language Agent

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-03T00:15:57.153552Z

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Observation bb215953-14a0-4ab7-874f-1163a777f3a2 · outbound

This paper cites Godot Recipes.

GameDevBench: Evaluating Agentic Capabilities Through Game Development Godot Recipes

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-03T00:15:57.156375Z

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Observation 3efe7f4d-6fb8-4a18-96c3-1673c02d2070 · outbound

This paper cites Visualwebarena: Evaluating multimodal agents on realistic visual web tasks, 2024.

GameDevBench: Evaluating Agentic Capabilities Through Game Development Visualwebarena: Evaluating multimodal agents on realistic visual web tasks, 2024

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-03T00:15:57.159168Z

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Observation 75ed64de-9422-4fd3-8353-7e661a5f00ca · outbound

This paper cites Benchmarking cognitive biases in large language models as evaluators, 2024.

GameDevBench: Evaluating Agentic Capabilities Through Game Development Benchmarking cognitive biases in large language models as evaluators, 2024

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-03T00:15:57.161760Z

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Observation 20cabff2-844a-4e27-884b-e34ecde04747 · outbound

This paper cites Merrill, Alexander G.

GameDevBench: Evaluating Agentic Capabilities Through Game Development Merrill, Alexander G

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-03T00:15:57.164484Z

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Observation d8e635eb-788b-4f71-abc9-1584c89f8022 · outbound

This paper cites Beating the world record in pokémon emerald: An AI agent case study.https: //nunu.ai/case-studies/pokemon-emerald, 2024.

GameDevBench: Evaluating Agentic Capabilities Through Game Development Beating the world record in pokémon emerald: An AI agent case study.https: //nunu.ai/case-studies/pokemon-emerald, 2024

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-03T00:15:57.167197Z

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Observation 9855ab02-c087-4964-93e1-ebcfa4b872f2 · outbound

This paper cites Lewis, and Satinder Singh.

GameDevBench: Evaluating Agentic Capabilities Through Game Development Lewis, and Satinder Singh

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-03T00:15:57.169897Z

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Observation 9e618cdc-f64a-4bc0-b928-96bbe81205c9 · outbound

This paper cites Learning transferable visual models from natural language supervision, 2021.

GameDevBench: Evaluating Agentic Capabilities Through Game Development Learning transferable visual models from natural language supervision, 2021

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-03T00:15:57.172576Z

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Observation 20ec99e5-e427-4ebc-9b05-d16385d556a8 · outbound

This paper cites Hubert, K.

GameDevBench: Evaluating Agentic Capabilities Through Game Development Hubert, K

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-03T00:15:57.175603Z

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Observation 20036ff2-e13d-4509-91e8-81c942f743b2 · outbound

This paper cites Procedural content generation in games.

GameDevBench: Evaluating Agentic Capabilities Through Game Development Procedural content generation in games

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-03T00:15:57.178546Z

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Observation 933059a1-ac01-42b3-aeb1-259f3f10c72d · outbound

This paper cites Design2Code: Benchmarking Multimodal Code Generation for Automated Front-End Engineering.

GameDevBench: Evaluating Agentic Capabilities Through Game Development Design2Code: Benchmarking Multimodal Code Generation for Automated Front-End Engineering

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-03T00:15:57.181407Z

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Observation 7be235c3-0ea9-48a7-8e96-c6d2421240b8 · outbound

This paper cites Mastering the game of go with deep neural networks and tree search.nature, 529(7587):484–489, 2016.

GameDevBench: Evaluating Agentic Capabilities Through Game Development Mastering the game of go with deep neural networks and tree search.nature, 529(7587):484–489, 2016

Reference 26

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Observation 611c81a7-7ffd-401f-8a59-c6f7590de33b · outbound

This paper cites Hubert, Julian Schrittwieser, Ioannis Antonoglou, Matthew Lai, A.

GameDevBench: Evaluating Agentic Capabilities Through Game Development Hubert, Julian Schrittwieser, Ioannis Antonoglou, Matthew Lai, A

Reference 27

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Observation d7390c0d-e984-46a8-a5ca-d62cc143b989 · outbound

This paper cites Mariogpt: Open-ended text2level generation through large language models, 2023.

GameDevBench: Evaluating Agentic Capabilities Through Game Development Mariogpt: Open-ended text2level generation through large language models, 2023

Reference 28

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Observation f81e9516-13ac-481d-badd-63c0cff5e705 · outbound

This paper cites Hoover, Aaron Isaksen, Andy Nealen, and Julian Togelius.

GameDevBench: Evaluating Agentic Capabilities Through Game Development Hoover, Aaron Isaksen, Andy Nealen, and Julian Togelius

Reference 29

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Observation 6720575e-d9f2-466a-92d0-1bb75a8dbb3c · outbound

This paper cites Diffusion Models Are Real-Time Game Engines.

GameDevBench: Evaluating Agentic Capabilities Through Game Development Diffusion Models Are Real-Time Game Engines

Reference 30

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Observation e85845c2-3371-425d-aa05-473839b6ca47 · outbound

This paper cites Generative agent-based modeling with actions grounded in physical, social, or digital space using Concordia.

GameDevBench: Evaluating Agentic Capabilities Through Game Development Generative agent-based modeling with actions grounded in physical, social, or digital space using Concordia

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-03T00:15:57.198784Z

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Observation abf50535-367f-4c75-b8d8-5186e7b78e9c · outbound

This paper cites Multi-Actor Generative Artificial Intelligence as a Game Engine.

GameDevBench: Evaluating Agentic Capabilities Through Game Development Multi-Actor Generative Artificial Intelligence as a Game Engine

Reference 32

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Observation 9afd5026-42da-4e29-8c01-761da9de0f5d · outbound

This paper cites Vinyals, Igor Babuschkin, Wojciech M.

GameDevBench: Evaluating Agentic Capabilities Through Game Development Vinyals, Igor Babuschkin, Wojciech M

Reference 33

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Observation 442f8cd1-07f9-4c76-978e-762b961eb5c2 · outbound

This paper cites Large language models are not fair evaluators, 2023.

GameDevBench: Evaluating Agentic Capabilities Through Game Development Large language models are not fair evaluators, 2023

Reference 34

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Observation 33293d9e-31ef-4ca4-8e2b-89a9eb8979b6 · outbound

This paper cites Xu, Xiangru Tang, Mingchen Zhuge, Jiayi Pan, Yueqi Song, Bowen Li, Jaskirat Singh, Hoang H.

GameDevBench: Evaluating Agentic Capabilities Through Game Development Xu, Xiangru Tang, Mingchen Zhuge, Jiayi Pan, Yueqi Song, Bowen Li, Jaskirat Singh, Hoang H

Reference 35

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Observation 78d428c5-4dc6-4ce6-a4e2-b8eb71b8a23d · outbound

This paper cites Osworld: Benchmarking multimodal agents for open-ended tasks in real computer environments, 2024.

GameDevBench: Evaluating Agentic Capabilities Through Game Development Osworld: Benchmarking multimodal agents for open-ended tasks in real computer environments, 2024

Reference 36

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Observation f627918f-f33d-4c72-a685-a7d90eae2b69 · outbound

This paper cites Analysis of development of artificial intelligence in the game industry.

GameDevBench: Evaluating Agentic Capabilities Through Game Development Analysis of development of artificial intelligence in the game industry

Reference 37

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Observation fb484df8-5144-48af-b8ce-403543e3766e · outbound

This paper cites SWE-agent: Agent-computer interfaces enable automated software engineering.

GameDevBench: Evaluating Agentic Capabilities Through Game Development SWE-agent: Agent-computer interfaces enable automated software engineering

Reference 38

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Observation 47dde18d-b608-4455-a138-09ff849fa4a8 · outbound

This paper cites Jimenez, Alex L.

GameDevBench: Evaluating Agentic Capabilities Through Game Development Jimenez, Alex L

Reference 39

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Observation d6ad82fd-4156-4ea8-8c5f-55c74023726a · outbound

This paper cites Jimenez, Ofir Press, Ludwig Schmidt, and Diyi Yang.

GameDevBench: Evaluating Agentic Capabilities Through Game Development Jimenez, Ofir Press, Ludwig Schmidt, and Diyi Yang

Reference 40

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Observation 14ee4d6d-8240-4533-9d08-0b9d2fbd65cd · outbound

This paper cites Black, Trevor Darrell, Angjoo Kanazawa, and Haiwen Feng.

GameDevBench: Evaluating Agentic Capabilities Through Game Development Black, Trevor Darrell, Angjoo Kanazawa, and Haiwen Feng

Reference 41

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Observation a24c3d6c-3b3a-41a4-809e-4ea982dc8753 · outbound

This paper cites Xing, Hao Zhang, Joseph E.

GameDevBench: Evaluating Agentic Capabilities Through Game Development Xing, Hao Zhang, Joseph E

Reference 42

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Observation 779c0b66-3153-4d49-b43b-649f22bc227c · outbound

This paper cites Xu, Hao Zhu, Xuhui Zhou, Robert Lo, Abishek Sridhar, Xianyi Cheng, Tianyue Ou, Yonatan Bisk, Daniel Fried, Uri Alon, and Graham Neubig.

GameDevBench: Evaluating Agentic Capabilities Through Game Development Xu, Hao Zhu, Xuhui Zhou, Robert Lo, Abishek Sridhar, Xianyi Cheng, Tianyue Ou, Yonatan Bisk, Daniel Fried, Uri Alon, and Graham Neubig

Reference 43

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Observation c18a88b6-65fa-4483-adfc-5fa674fc85d3 · outbound

This paper cites FrontendBench: A Benchmark for Evaluating LLMs on Front-End Development via Automatic Evaluation.

GameDevBench: Evaluating Agentic Capabilities Through Game Development FrontendBench: A Benchmark for Evaluating LLMs on Front-End Development via Automatic Evaluation

Reference 44

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Observation ad0306f1-90bb-4aac-9b6d-ef371461b91d · outbound

This paper cites why" before.

GameDevBench: Evaluating Agentic Capabilities Through Game Development why" before

Reference 45

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Observation da938e91-b0c3-4278-ad87-851141e9de8c · outbound

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GameDevBench: Evaluating Agentic Capabilities Through Game Development Unresolved cited work

Reference 46

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Observation ffad022a-6758-4756-a550-09ee53bfd590 · outbound

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GameDevBench: Evaluating Agentic Capabilities Through Game Development Unresolved cited work

Reference 47

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Observation f3d5f3ee-9e68-4476-90c5-2e68a751bf41 · outbound

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GameDevBench: Evaluating Agentic Capabilities Through Game Development Unresolved cited work

Reference 48

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Observation 93374b6d-bd6a-4a99-b62a-5d70128d3f26 · outbound

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GameDevBench: Evaluating Agentic Capabilities Through Game Development Unresolved cited work

Reference 49

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Observation 5cf5ad8c-ec73-46a0-94f5-c2cfe1dd6c7e · outbound

This paper cites what" but transcript explains.

GameDevBench: Evaluating Agentic Capabilities Through Game Development what" but transcript explains

Reference 50

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Observation 224d5469-6c61-4e1c-8734-0d85a20d6702 · outbound

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GameDevBench: Evaluating Agentic Capabilities Through Game Development Unresolved cited work

Reference 51

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Observation 2b4475e3-6c16-4421-9660-43de0877f5bd · outbound

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GameDevBench: Evaluating Agentic Capabilities Through Game Development Unresolved cited work

Reference 52

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Observation 5a4f2b07-fe93-4481-a638-cd2e147dc083 · outbound

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GameDevBench: Evaluating Agentic Capabilities Through Game Development Unresolved cited work

Reference 53

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Observation d0483a03-2639-4297-8fc8-ac6274586b65 · outbound

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GameDevBench: Evaluating Agentic Capabilities Through Game Development Unresolved cited work

Reference 54

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Observation 17ac6c5e-56c1-4019-8a5a-20f3464a6834 · outbound

This paper cites create a CharacterBody2D.

GameDevBench: Evaluating Agentic Capabilities Through Game Development create a CharacterBody2D

Reference 55

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Observation 11bdd50a-1c59-4cb0-9d37-e577b9077eff · outbound

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GameDevBench: Evaluating Agentic Capabilities Through Game Development Unresolved cited work

Reference 56

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Observation fa6f12b8-bdf4-4417-8923-42d7d3baca68 · outbound

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GameDevBench: Evaluating Agentic Capabilities Through Game Development Unresolved cited work

Reference 57

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Observation 266440d2-a90f-49db-be4e-c49ea90e4381 · outbound

This paper cites an unresolved cited work.

GameDevBench: Evaluating Agentic Capabilities Through Game Development Unresolved cited work

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-03T00:15:57.274509Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6c46d228-f8a4-455e-94b8-96fc10129913 · outbound

This paper cites an unresolved cited work.

GameDevBench: Evaluating Agentic Capabilities Through Game Development Unresolved cited work

Reference 59

Resolution: parse uncertain; no resolver link, observed 2026-08-03T00:15:57.277160Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a8d7be72-6902-4e0e-9fe1-73e2aa57ae0a · outbound

This paper cites Format incremental and timer step text.

GameDevBench: Evaluating Agentic Capabilities Through Game Development Format incremental and timer step text

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-03T00:15:57.279920Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cada2292-8bd6-433b-9b82-d2dbc5026da3 · outbound

This paper cites Read the task instruction.

GameDevBench: Evaluating Agentic Capabilities Through Game Development Read the task instruction

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-03T00:15:57.283192Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9d5a53bc-d966-43f4-b46d-45239179b116 · outbound

This paper cites Ask your agent of choice to solve the task.

GameDevBench: Evaluating Agentic Capabilities Through Game Development Ask your agent of choice to solve the task

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-03T00:15:57.286045Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 28d0ac0e-c2b6-4f33-a79f-09bea8291034 · outbound

This paper cites See if each test matches the instruction.

GameDevBench: Evaluating Agentic Capabilities Through Game Development See if each test matches the instruction

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-03T00:15:57.288696Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 76e78de4-75d2-4c3a-986c-d86bb09433ed · outbound

This paper cites See if it passes / fails.

GameDevBench: Evaluating Agentic Capabilities Through Game Development See if it passes / fails

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-03T00:15:57.291224Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eddc08f6-f4e1-46df-812a-3771c9485632 · outbound

This paper cites Look at test.gd. Was there anything you missed? Did you miss it due to your mistake or were the instructions unclear?.

GameDevBench: Evaluating Agentic Capabilities Through Game Development Look at test.gd. Was there anything you missed? Did you miss it due to your mistake or were the instructions unclear?

Reference 65

Resolution: malformed identifier; no resolver link, observed 2026-08-03T00:15:57.293742Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation ef963e0b-b2c6-4d16-8f1b-383abbb46136 · inbound

GameCraft-Bench: Can Agents Build Playable Games End-to-End in a Real Game Engine? cites this paper.

GameCraft-Bench: Can Agents Build Playable Games End-to-End in a Real Game Engine? GameDevBench: Evaluating Agentic Capabilities Through Game Development

Reference 9

Resolution: verified exact; local_arxiv, observed 2026-07-03T21:28:59.382819Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 18a3873c-2821-410f-a641-de629f4b2094 · inbound

The Verifier is the Curriculum: Execution-Gated Self-Distillation for Cross-Family Game Generation cites this paper.

The Verifier is the Curriculum: Execution-Gated Self-Distillation for Cross-Family Game Generation GameDevBench: Evaluating Agentic Capabilities Through Game Development

Reference 2

Resolution: unresolved; no resolver link, observed 2026-07-14T17:25:37.713857Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.