Paper Citation Record · LEDGER

CEO-Bench: Can Agents Play the Long Game?

As of 15 August 2026, this Paper Citation Record lists 51 of 51 outbound references and 2 inbound Pith citation observations for arXiv:2606.18543.

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

pith.paper-citation-record.v1
2606.18543 v2

Coverage vector

measured 51 of 51 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-02T11:01:21.667271Z

measured 53 of 53 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T04:33:37.994926Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T22:11:21.828304Z

Reference resolution

51 of 51 outbound references displayed

verified exact0
verified fuzzy0
unresolved51
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 4b94e559-eb69-4348-8aed-e163c3e7cd56 · outbound

This paper cites Claude code overview.

CEO-Bench: Can Agents Play the Long Game? Claude code overview

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-02T11:01:16.054281Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ee76460d-f7df-49d9-a7a4-fdc5bcfc724e · outbound

This paper cites Vending-Bench: A Benchmark for Long-Term Coherence of Autonomous Agents.

CEO-Bench: Can Agents Play the Long Game? Vending-Bench: A Benchmark for Long-Term Coherence of Autonomous Agents

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-02T11:01:16.111772Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 289abba0-fb62-4c07-a2f5-773c96146f7a · outbound

This paper cites Vending-bench 2.

CEO-Bench: Can Agents Play the Long Game? Vending-bench 2

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-02T11:01:16.188924Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 30fa8db3-5be4-4ec7-bc7f-df3fe755b899 · outbound

This paper cites LongBench : A bilingual, multitask benchmark for long context understanding.

CEO-Bench: Can Agents Play the Long Game? LongBench : A bilingual, multitask benchmark for long context understanding

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-02T11:01:16.250015Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 290df872-7749-4bcf-adb8-24f9ee527474 · outbound

This paper cites MLE-bench : Evaluating machine learning agents on machine learning engineering.

CEO-Bench: Can Agents Play the Long Game? MLE-bench : Evaluating machine learning agents on machine learning engineering

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-02T11:01:16.304358Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 638f9136-0d33-4f00-b554-c0895ee1cf84 · outbound

This paper cites Evaluating Large Language Models Trained on Code.

CEO-Bench: Can Agents Play the Long Game? Evaluating Large Language Models Trained on Code

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-02T11:01:16.365255Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5ed1e187-1f1b-4442-8fe0-f523b5bb1d74 · outbound

This paper cites Laradji, Manuel Del Verme, Tom Marty, L \'e o Boisvert, Megh Thakkar, Quentin Cappart, David Vazquez, Nicolas Chapados, and Alexandre Lacoste.

CEO-Bench: Can Agents Play the Long Game? Laradji, Manuel Del Verme, Tom Marty, L \'e o Boisvert, Megh Thakkar, Quentin Cappart, David Vazquez, Nicolas Chapados, and Alexandre Lacoste

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-02T11:01:16.421654Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 523908d5-4c62-406f-b89e-789e76b7d052 · outbound

This paper cites YC-Bench : Benchmarking AI agents for long-term planning and consistent execution.

CEO-Bench: Can Agents Play the Long Game? YC-Bench : Benchmarking AI agents for long-term planning and consistent execution

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-02T11:01:16.526678Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bbbc256e-5fc9-4eeb-98af-6044ee01f9b1 · outbound

This paper cites MemoryArena : Benchmarking agent memory in interdependent multi-session agentic tasks.

CEO-Bench: Can Agents Play the Long Game? MemoryArena : Benchmarking agent memory in interdependent multi-session agentic tasks

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-02T11:01:16.586810Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8fb8a7a7-f17d-4b72-bb0b-9cc94f186707 · outbound

This paper cites Measuring massive multitask language understanding.

CEO-Bench: Can Agents Play the Long Game? Measuring massive multitask language understanding

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-02T11:01:16.646172Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 62e985e2-5550-4e14-85b2-b6ae95bc3a44 · outbound

This paper cites RULER : What's the real context size of your long-context language models? In COLM, 2024.

CEO-Bench: Can Agents Play the Long Game? RULER : What's the real context size of your long-context language models? In COLM, 2024

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-02T11:01:16.728299Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 24ef1de7-afb4-47da-84c2-6b2e0a8014fb · outbound

This paper cites Evaluating memory in LLM agents via incremental multi-turn interactions.

CEO-Bench: Can Agents Play the Long Game? Evaluating memory in LLM agents via incremental multi-turn interactions

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-02T11:01:16.945575Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f826748a-302d-4339-80f7-81972f0c5aa9 · outbound

This paper cites SWE-bench : Can language models resolve real-world GitHub issues? In ICLR, 2024.

CEO-Bench: Can Agents Play the Long Game? SWE-bench : Can language models resolve real-world GitHub issues? In ICLR, 2024

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-02T11:01:17.004141Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a308ff0b-a033-46bf-abd4-8075ae5ab811 · outbound

This paper cites Prospect theory: An analysis of decision under risk.

CEO-Bench: Can Agents Play the Long Game? Prospect theory: An analysis of decision under risk

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-02T11:01:17.067032Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a99994b1-0ecf-4d18-bfe9-25ddd6463d8f · outbound

This paper cites an unresolved cited work.

CEO-Bench: Can Agents Play the Long Game? Unresolved cited work

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-02T11:01:17.120321Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e8632933-1e5e-4f2b-84f4-3791dba12689 · outbound

This paper cites In-context reinforcement learning with algorithm distillation.

CEO-Bench: Can Agents Play the Long Game? In-context reinforcement learning with algorithm distillation

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-02T11:01:17.200167Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eb43a0c1-c50f-40ff-8db6-d87df085f72f · outbound

This paper cites Holistic evaluation of language models.

CEO-Bench: Can Agents Play the Long Game? Holistic evaluation of language models

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-02T11:01:17.277898Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 854d62f6-3627-4ed2-a276-6eecbc0114d2 · outbound

This paper cites AgentBench : Evaluating LLMs as agents.

CEO-Bench: Can Agents Play the Long Game? AgentBench : Evaluating LLMs as agents

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-02T11:01:17.312153Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1083307d-398f-4963-b8b0-6d288c996123 · outbound

This paper cites Fung, Chun Yuan, and Li Shen.

CEO-Bench: Can Agents Play the Long Game? Fung, Chun Yuan, and Li Shen

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-02T11:01:17.399266Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9bdd9ada-030f-429f-a388-e0dd3a5743c3 · outbound

This paper cites AgentBoard : An analytical evaluation board of multi-turn LLM agents.

CEO-Bench: Can Agents Play the Long Game? AgentBoard : An analytical evaluation board of multi-turn LLM agents

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-02T11:01:17.488082Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f0372826-4e86-4100-9080-54469957039e · outbound

This paper cites an unresolved cited work.

CEO-Bench: Can Agents Play the Long Game? Unresolved cited work

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-02T11:01:17.662371Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2c4e665f-57a8-4de9-a25b-994023688c5e · outbound

This paper cites GAIA : A benchmark for general AI assistants.

CEO-Bench: Can Agents Play the Long Game? GAIA : A benchmark for general AI assistants

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-02T11:01:17.814841Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3e6f6d4f-86c8-44da-bd3c-9c05d3c33a75 · outbound

This paper cites SWE-Lancer : Can frontier LLMs earn \ 1 million from real-world freelance software engineering? In ICML, 2025.

CEO-Bench: Can Agents Play the Long Game? SWE-Lancer : Can frontier LLMs earn \ 1 million from real-world freelance software engineering? In ICML, 2025

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-02T11:01:17.953272Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 35e02d1e-06f7-41f2-971d-a8d6c7eb898a · outbound

This paper cites LLMs are in-context bandit reinforcement learners.

CEO-Bench: Can Agents Play the Long Game? LLMs are in-context bandit reinforcement learners

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-02T11:01:18.065780Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 238a1fe3-5d84-4215-81b1-50da710a0d46 · outbound

This paper cites Monopoly and product quality.

CEO-Bench: Can Agents Play the Long Game? Monopoly and product quality

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-02T11:01:18.133474Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 70e21c99-18db-4b4b-b65f-68f68eecf601 · outbound

This paper cites an unresolved cited work.

CEO-Bench: Can Agents Play the Long Game? Unresolved cited work

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-02T11:01:18.189853Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2c65afb4-82cd-46d9-ac40-69234894b59a · outbound

This paper cites an unresolved cited work.

CEO-Bench: Can Agents Play the Long Game? Unresolved cited work

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-02T11:01:18.294544Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 73f4677f-18d2-4c22-8428-dbe72d5eb77c · outbound

This paper cites Codex cli.

CEO-Bench: Can Agents Play the Long Game? Codex cli

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-02T11:01:18.419131Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bd0f5185-d516-47e9-b0c3-30c53cb92f62 · outbound

This paper cites Opencode: The open source ai coding agent.

CEO-Bench: Can Agents Play the Long Game? Opencode: The open source ai coding agent

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-02T11:01:18.532370Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d5aa51e8-7ffe-4eca-b85c-2219a0cc6005 · outbound

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

CEO-Bench: Can Agents Play the Long Game? Patil, Huanzhi Mao, Fanjia Yan, Charlie Cheng-Jie Ji, Vishnu Suresh, Ion Stoica, and Joseph E

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-02T11:01:18.642907Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a6d26ff4-4eba-453b-adda-7664d72bd22e · outbound

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

CEO-Bench: Can Agents Play the Long Game? GDPval: Evaluating AI Model Performance on Real-World Economically Valuable Tasks

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-02T11:01:18.746468Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 511bdb01-c132-4814-9a0e-bf2e90593ab6 · outbound

This paper cites AccountingBench : Evaluating LLMs on real long-horizon business tasks.

CEO-Bench: Can Agents Play the Long Game? AccountingBench : Evaluating LLMs on real long-horizon business tasks

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-02T11:01:18.845752Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d8510299-f776-4312-8ee7-0704eab3fd16 · outbound

This paper cites Pi documentation.

CEO-Bench: Can Agents Play the Long Game? Pi documentation

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-02T11:01:18.967131Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1a9d7978-c028-4f1a-9344-1bd6d9d2de51 · outbound

This paper cites an unresolved cited work.

CEO-Bench: Can Agents Play the Long Game? Unresolved cited work

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-02T11:01:19.158535Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ad7e2657-ce5f-4e08-9353-7cacf7e092e1 · outbound

This paper cites an unresolved cited work.

CEO-Bench: Can Agents Play the Long Game? Unresolved cited work

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-02T11:01:19.287222Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 003f865d-1816-4de2-91d5-9fbec79417b3 · outbound

This paper cites Brown, Adam Santoro, Aditya Gupta, Adri \`a Garriga-Alonso, et al.

CEO-Bench: Can Agents Play the Long Game? Brown, Adam Santoro, Aditya Gupta, Adri \`a Garriga-Alonso, et al

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-02T11:01:19.423697Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f89ac7ef-4e0c-45e3-8b49-535dd0b668e1 · outbound

This paper cites PaperBench: Evaluating AI's Ability to Replicate AI Research.

CEO-Bench: Can Agents Play the Long Game? PaperBench: Evaluating AI's Ability to Replicate AI Research

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-02T11:01:19.550132Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a84da436-ee31-4581-ae0c-54f4f70392b2 · outbound

This paper cites Testing for mean reversion in processes of Ornstein--Uhlenbeck type.

CEO-Bench: Can Agents Play the Long Game? Testing for mean reversion in processes of Ornstein--Uhlenbeck type

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-02T11:01:19.762252Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 91c0460a-ac62-45b5-9d5d-e24c88489da9 · outbound

This paper cites Teece, Gary Pisano, and Amy Shuen.

CEO-Bench: Can Agents Play the Long Game? Teece, Gary Pisano, and Amy Shuen

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-02T11:01:19.955347Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f05f4a23-8121-4b52-9520-16b05542753e · outbound

This paper cites AppWorld : A controllable world of apps and people for benchmarking interactive coding agents.

CEO-Bench: Can Agents Play the Long Game? AppWorld : A controllable world of apps and people for benchmarking interactive coding agents

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-02T11:01:20.179108Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e9720f86-773c-4235-8f0e-96c245658cfb · outbound

This paper cites Uhlenbeck and Leonard S.

CEO-Bench: Can Agents Play the Long Game? Uhlenbeck and Leonard S

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-02T11:01:20.302082Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f8e0eeee-4f78-4a5a-94ab-21a3e66e5da5 · outbound

This paper cites OdysseyBench: Evaluating LLM Agents on Long-Horizon Complex Office Application Workflows.

CEO-Bench: Can Agents Play the Long Game? OdysseyBench: Evaluating LLM Agents on Long-Horizon Complex Office Application Workflows

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-02T11:01:20.504958Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 30248c63-19bc-41f6-a4bc-daa595ee7885 · outbound

This paper cites TRACE: A Comprehensive Benchmark for Continual Learning in Large Language Models.

CEO-Bench: Can Agents Play the Long Game? TRACE: A Comprehensive Benchmark for Continual Learning in Large Language Models

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-02T11:01:20.674778Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5380880c-f308-499b-8c5b-ca3f9390dc96 · outbound

This paper cites LongMemEval : Benchmarking chat assistants on long-term interactive memory.

CEO-Bench: Can Agents Play the Long Game? LongMemEval : Benchmarking chat assistants on long-term interactive memory

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-02T11:01:20.868340Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ca89e086-9de7-4f2f-a0e6-47e034abbec6 · outbound

This paper cites Mitchell, and Yuanzhi Li.

CEO-Bench: Can Agents Play the Long Game? Mitchell, and Yuanzhi Li

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-02T11:01:21.067223Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 555277b5-5a48-488f-bd32-9c808d8f9ea8 · outbound

This paper cites TravelPlanner : A benchmark for real-world planning with language agents.

CEO-Bench: Can Agents Play the Long Game? TravelPlanner : A benchmark for real-world planning with language agents

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-02T11:01:21.197481Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3c8cd380-346f-4a1c-bf55-8d1c67e6583d · outbound

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

CEO-Bench: Can Agents Play the Long Game? OSWorld : Benchmarking multimodal agents for open-ended tasks in real computer environments

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-02T11:01:21.252122Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5c1fa3c7-078e-49b3-8a59-39c2de8f6100 · outbound

This paper cites Xu, Yufan Song, Boxuan Li, Yuxuan Tang, Kritanjali Jain, Mengxue Bao, Zora Z.

CEO-Bench: Can Agents Play the Long Game? Xu, Yufan Song, Boxuan Li, Yuxuan Tang, Kritanjali Jain, Mengxue Bao, Zora Z

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-02T11:01:21.320261Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 531f8473-1492-4cb7-8c10-9f9578ab3e8b · outbound

This paper cites -bench: A benchmark for tool-agent-user interaction in real-world domains.

CEO-Bench: Can Agents Play the Long Game? -bench: A benchmark for tool-agent-user interaction in real-world domains

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-02T11:01:21.409635Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6999fc5c-48f3-46e0-ade9-67cc96802d2d · outbound

This paper cites AssistantBench : Can web agents solve realistic and time-consuming tasks? In EMNLP, 2024.

CEO-Bench: Can Agents Play the Long Game? AssistantBench : Can web agents solve realistic and time-consuming tasks? In EMNLP, 2024

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-02T11:01:21.519125Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 695d8ff8-7116-461e-856f-49466b9276d4 · outbound

This paper cites WebArena : A realistic web environment for building autonomous agents.

CEO-Bench: Can Agents Play the Long Game? WebArena : A realistic web environment for building autonomous agents

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-02T11:01:21.667271Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 260e24c5-8e75-4aaa-bf60-7fc501ab394a · inbound

Seeing Is Not Deciding: Can Multimodal LLMs Act as Effective CEOs? cites this paper.

Seeing Is Not Deciding: Can Multimodal LLMs Act as Effective CEOs? CEO-Bench: Can Agents Play the Long Game?

Reference 4

Resolution: metadata mismatch; local_arxiv, observed 2026-08-07T22:11:21.833602Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation dea5f72d-7b4b-42f1-9634-e4d28f5a3e4a · inbound

Business Arena: Benchmarking LLM Agents in a Realistic Marketplace cites this paper.

Business Arena: Benchmarking LLM Agents in a Realistic Marketplace CEO-Bench: Can Agents Play the Long Game?

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-14T04:33:37.994926Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.