Pith. sign in

Paper Citation Record · LEDGER

TextAtari: 100K Frames Game Playing with Language Agents

As of 10 August 2026, this Paper Citation Record lists 88 of 88 outbound references and 4 inbound Pith citation observations for arXiv:2506.04098.

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

pith.paper-citation-record.v1
2506.04098 v2

Coverage vector

measured 88 of 88 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T10:51:58.075505Z

measured 92 of 92 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-30T13:12:46.927103Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T13:14:40.648851Z

Reference resolution

88 of 88 outbound references displayed

  • verified exact3
  • verified fuzzy18
  • unresolved67
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation cdc62b8c-a7c8-4040-81e8-e96eebac7a30 · outbound

This paper cites A Survey on Large Language Models for Automated Planning.

TextAtari: 100K Frames Game Playing with Language Agents A Survey on Large Language Models for Automated Planning

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-07T10:51:57.852875Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:51:57.852875Z digest=sha256:67749eb677273bbd26f83b9851674869e2aaceccd0edc3e7c286b981b8b60d58

Observation 76461444-87e5-4d47-848f-93334478ac38 · outbound

This paper cites Go-Explore: a New Approach for Hard-Exploration Problems.

TextAtari: 100K Frames Game Playing with Language Agents Go-Explore: a New Approach for Hard-Exploration Problems

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-07T10:51:57.859852Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:51:57.859852Z digest=sha256:a5e4e2b773aaf23f493b27d205b55f58ba6132641773042021972a818e91b31a

Observation ee65c8b9-1501-46a0-842b-8bbb96af0cdf · outbound

This paper cites LMRL Gym: Benchmarks for Multi-Turn Reinforcement Learning with Language Models.

TextAtari: 100K Frames Game Playing with Language Agents LMRL Gym: Benchmarks for Multi-Turn Reinforcement Learning with Language Models

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-07T10:51:57.917864Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:51:57.917864Z digest=sha256:d8638a22031145e57dd033edf4f86e55ba153486531d3d571fd42dff9ee1db62

Observation 46b953e6-92a7-4954-968f-38984e73399f · outbound

This paper cites OpenAI o1 System Card.

TextAtari: 100K Frames Game Playing with Language Agents OpenAI o1 System Card

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-07T10:51:57.865536Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:51:57.865536Z digest=sha256:8f18936f915176c1f3e4cf71557b99b7d8354b58f68675a9f160be8d4ed59040

Observation a0adffc2-86ba-47ce-9394-689755dfd7a0 · outbound

This paper cites Measuring AI Ability to Complete Long Software Tasks.

TextAtari: 100K Frames Game Playing with Language Agents Measuring AI Ability to Complete Long Software Tasks

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-07T10:51:57.871719Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:51:57.871719Z digest=sha256:b3ce576b3ee1c22af0a023abff266e5a38a092dc8b2859e70ef1ea051a7d7df8

Observation 8b1898ce-bb72-4cd4-a68f-97cae96ce57d · outbound

This paper cites A Survey of Temporal Credit Assignment in Deep Reinforcement Learning.

TextAtari: 100K Frames Game Playing with Language Agents A Survey of Temporal Credit Assignment in Deep Reinforcement Learning

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-07T10:51:57.877206Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:51:57.877206Z digest=sha256:9bbbcbaedefcdb600434d2b51d0ee16af06d28a621cfac0432b4de4a1ddc93f2

Observation 21837c6d-14d0-4b11-a3a3-0c292a5f6666 · outbound

This paper cites Dichotomy of Control: Separating What You Can Control from What You Cannot.

TextAtari: 100K Frames Game Playing with Language Agents Dichotomy of Control: Separating What You Can Control from What You Cannot

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-07T10:51:57.882387Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:51:57.882387Z digest=sha256:c0bb86e1745245b043ca3d95afd11f5e368ff1fa1a743c7bbf37a55e85da2205

Observation 2ada284e-c6b7-4b1d-9580-983545486f75 · outbound

This paper cites Video as the New Language for Real-World Decision Making.

TextAtari: 100K Frames Game Playing with Language Agents Video as the New Language for Real-World Decision Making

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-07T10:51:57.884964Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:51:57.884964Z digest=sha256:86c82cbf19176dfc4336d9382c6c4f90962f4b3ae2e662a202f6163061cb4788

Observation 55ffb430-99e0-44dd-b00c-553e3672f365 · outbound

This paper cites horizon gap.

TextAtari: 100K Frames Game Playing with Language Agents horizon gap

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-07T10:51:57.887586Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:51:57.887586Z digest=sha256:7fe16c7b7febd12ef24d806e44360af34e1fb4fe72b9ecd6d3b2345ac5ea199a

Observation dfb9b6b1-a12a-4b03-a703-1e2e345a3264 · outbound

This paper cites an unresolved cited work.

TextAtari: 100K Frames Game Playing with Language Agents Unresolved cited work

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-07T10:51:57.890226Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:51:57.890226Z digest=sha256:e488a62137b6c7d46a66bfa38c9d0f1d4bb85a91a0e6a885b7b660ccd699766f

Observation 79eb21c2-dfb9-4150-9ced-0b84ca6874bc · outbound

This paper cites an unresolved cited work.

TextAtari: 100K Frames Game Playing with Language Agents Unresolved cited work

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-07T10:51:57.892764Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:51:57.892764Z digest=sha256:8d46089097998d72f96a80faa0397b92834eeacf25beda44758c16b682cfb98a

Observation be8e84a5-160a-4ac5-8597-a9ba6b9b6d09 · outbound

This paper cites an unresolved cited work.

TextAtari: 100K Frames Game Playing with Language Agents Unresolved cited work

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-07T10:51:57.895410Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:51:57.895410Z digest=sha256:7227d097570592d5bcb9d7b7d0d9e28b2b8fd3487064fc175b6575cf16db854f

Observation 82e6c9ae-a5b5-432c-8075-66cf31512939 · outbound

This paper cites an unresolved cited work.

TextAtari: 100K Frames Game Playing with Language Agents Unresolved cited work

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-07T10:51:57.900514Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:51:57.900514Z digest=sha256:278bb39e94623448b62ade672d0b5de25e7c8d9beef7259bfc80672078be171b

Observation d5e300aa-1937-4003-8412-b947fc6be849 · outbound

This paper cites 13 Benchmarks like MLE-Bench (Chan et al., 2024), RE-Bench (Wijk et al., 2024), and DISCOVERY- WORLD (Jansen et al.,.

TextAtari: 100K Frames Game Playing with Language Agents 13 Benchmarks like MLE-Bench (Chan et al., 2024), RE-Bench (Wijk et al., 2024), and DISCOVERY- WORLD (Jansen et al.,

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-07T10:51:57.902990Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:51:57.902990Z digest=sha256:0d4d3fa3d08a557816ad9ec0fcacccadb56dee69875679b01dcf4e922f866c8d

Observation 01dca46c-f901-44e2-b0d9-88f230fc76e0 · outbound

This paper cites ghost,” “paddle,.

TextAtari: 100K Frames Game Playing with Language Agents ghost,” “paddle,

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-07T10:51:57.905286Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:51:57.905286Z digest=sha256:95c59b098177eb31fc9625503b5c1fba0d6637abf51af6e3d0839808fa501bf8

Observation 0bae4547-4d68-45a1-8e0c-d3112c404d6d · outbound

This paper cites an unresolved cited work.

TextAtari: 100K Frames Game Playing with Language Agents Unresolved cited work

Reference 21

Resolution
unresolved
raw_fallback, observed 2026-08-07T10:51:58.881838Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T10:51:57.908452Z digest=sha256:a07646cfce63e82c4eec83e603abad11cc732209625b9537ceb86dc2727f29c2

Observation ea843369-e1ca-4810-b631-57b6c050bfda · outbound

This paper cites an unresolved cited work.

TextAtari: 100K Frames Game Playing with Language Agents Unresolved cited work

Reference 22

Resolution
unresolved
raw_fallback, observed 2026-08-07T10:51:58.874814Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T10:51:57.910831Z digest=sha256:0a9308ea4c08bbec0703101b9882a93b85d78cc8db179674f3fbd0c804ce60e5

Observation 7cc3fb02-801b-423d-8bfe-18fe744edd32 · outbound

This paper cites an unresolved cited work.

TextAtari: 100K Frames Game Playing with Language Agents Unresolved cited work

Reference 23

Resolution
unresolved
raw_fallback, observed 2026-08-07T10:51:58.868178Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T10:51:57.913158Z digest=sha256:cbdfa3b63a826983bf4b36fe27d164949b5ceae11cd3600f01006977ef503b59

Observation cc70cb4c-1410-408e-8271-1e8ee78c7a05 · outbound

This paper cites an unresolved cited work.

TextAtari: 100K Frames Game Playing with Language Agents Unresolved cited work

Reference 24

Resolution
unresolved
raw_fallback, observed 2026-08-07T10:51:58.861267Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T10:51:57.915486Z digest=sha256:49d77de14ef399b87936e344d1f6cd8cacc2514b242fe400a68338798396e860

Observation c31e6055-910f-4577-b222-b8691efe2e3e · outbound

This paper cites LLM-Coordination: Evaluating and Analyzing Multi-agent Coordination Abilities in Large Language Models.

TextAtari: 100K Frames Game Playing with Language Agents LLM-Coordination: Evaluating and Analyzing Multi-agent Coordination Abilities in Large Language Models

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-07T10:51:57.920505Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:51:57.920505Z digest=sha256:40f94e2653082d9564e2becf801c096e8bb03a25c5935caa788bac56a685087a

Observation 724b08bb-f7b8-44c3-a214-03db4ff78204 · outbound

This paper cites Werewolf Arena: A Case Study in LLM Evaluation via Social Deduction.

TextAtari: 100K Frames Game Playing with Language Agents Werewolf Arena: A Case Study in LLM Evaluation via Social Deduction

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-07T10:51:57.923142Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:51:57.923142Z digest=sha256:6613413720c786586251fec3f7d7b081e9e89146ac533b4ff37673f5afb7225b

Observation e6c47dd5-6daa-4a07-973e-a4ea45f0ca11 · outbound

This paper cites K., et al.

TextAtari: 100K Frames Game Playing with Language Agents K., et al

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:51:58.854431Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T10:51:57.925519Z digest=sha256:d8c8b1ba1d2fafa3b67a63141067a022fbce1c4e35d76e76f95d6daf53b903c8

Observation 80413c8f-17fe-4473-84cf-804a1569564e · outbound

This paper cites A3: Android agent arena for mobile gui agents.arXiv preprint arXiv:2501.01149,.

TextAtari: 100K Frames Game Playing with Language Agents A3: Android agent arena for mobile gui agents.arXiv preprint arXiv:2501.01149,

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-07T10:51:57.927776Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:51:57.927776Z digest=sha256:c46e062819ffbbec826eaef4459f574120c2eb554940a832373c0db96d54bd20

Observation 27ae39f7-0221-4824-8565-46efa8312012 · outbound

This paper cites clembench: Using game play to evaluate chat-optimized language models as conversational agents.

TextAtari: 100K Frames Game Playing with Language Agents clembench: Using game play to evaluate chat-optimized language models as conversational agents

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:51:58.847127Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T10:51:57.930061Z digest=sha256:7fd7b6978dd961cbbf5d5d835be9c6d3d029a9d40875419551bb953cd869cea9

Observation 7765159c-2546-4784-b802-f379cc58522b · outbound

This paper cites MLE-bench: Evaluating Machine Learning Agents on Machine Learning Engineering.

TextAtari: 100K Frames Game Playing with Language Agents MLE-bench: Evaluating Machine Learning Agents on Machine Learning Engineering

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-07T10:51:57.932392Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:51:57.932392Z digest=sha256:0c5efeb5fe7c1ac29ee7045e2a954a578d6788bea79f00557e5f438d7dade2de

Observation 24701b72-183c-4e40-8b69-5a8f9fe7bd56 · outbound

This paper cites PARTNR: A Benchmark for Planning and Reasoning in Embodied Multi-agent Tasks.

TextAtari: 100K Frames Game Playing with Language Agents PARTNR: A Benchmark for Planning and Reasoning in Embodied Multi-agent Tasks

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-07T10:51:57.934910Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:51:57.934910Z digest=sha256:ef4f0a322deb179e3ba9ca7618dee280cacd12aa03361851b2226ade739c8684

Observation 3d47a523-a706-4f2d-a0c2-fb6d9a4023c5 · outbound

This paper cites Alchemy: A Quantum Chemistry Dataset for Benchmarking AI Models.

TextAtari: 100K Frames Game Playing with Language Agents Alchemy: A Quantum Chemistry Dataset for Benchmarking AI Models

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-07T10:51:57.937738Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:51:57.937738Z digest=sha256:531f936c1adcf99a74eacd7a110f45d4cba077d13f64d0cac0e0b186f1be53be

Observation 3b0e0089-a2dc-45ae-ac4e-46148dcf4ad3 · outbound

This paper cites an unresolved cited work.

TextAtari: 100K Frames Game Playing with Language Agents Unresolved cited work

Reference 35

Resolution
unresolved
raw_fallback, observed 2026-08-07T10:51:58.840225Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T10:51:57.943103Z digest=sha256:a0a31316764800dfeb8b1e92dad127ebb17ddd92c6ef3d780e61762227bb1cba

Observation 43eaa6c1-8fc5-4445-b45d-e84abd19c51b · outbound

This paper cites M., and Yadav, A.

TextAtari: 100K Frames Game Playing with Language Agents M., and Yadav, A

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:51:58.833276Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T10:51:57.945473Z digest=sha256:5b83b0e211e0282a41f957e6dcc59d9ea0170a356bc0e1f5d81378481323a229

Observation b19bec2c-a445-4eae-b2e8-69b5746cbd96 · outbound

This paper cites Textworld: A learning environment for text-based games.

TextAtari: 100K Frames Game Playing with Language Agents Textworld: A learning environment for text-based games

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:51:58.826388Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T10:51:57.947734Z digest=sha256:d6bac0fc1ba29c4170a009392336b2fb4269be50dfccad58728ff65bf08fabaf

Observation 5565c375-47be-4692-bb0d-2c3dc47a86c4 · outbound

This paper cites R., Veselovsky, V ., Josifoski, M., Peyrard, M., Bosselut, A., Kosinski, M., and West, R.

TextAtari: 100K Frames Game Playing with Language Agents R., Veselovsky, V ., Josifoski, M., Peyrard, M., Bosselut, A., Kosinski, M., and West, R

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:51:58.819516Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T10:51:57.950009Z digest=sha256:6eebb7bc42fdc79c6f0b389502582dfa716d570fcde4c1f20a31b4f43ac1309d

Observation 2f7aff06-00d6-43e2-b009-7084a9c0daf9 · outbound

This paper cites Villageragent: A graph-based multi-agent framework for coordinating complex task dependencies in minecraft.

TextAtari: 100K Frames Game Playing with Language Agents Villageragent: A graph-based multi-agent framework for coordinating complex task dependencies in minecraft

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:51:58.812171Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T10:51:57.952442Z digest=sha256:0f3cc65eca7bcb95d78f181a4851b6fb1702e43f0c716d22625cb078d72e6b34

Observation 28fdf015-801e-4e9a-b2cc-069910e372a0 · outbound

This paper cites ASSISTGUI: Task-Oriented Desktop Graphical User Interface Automation.

TextAtari: 100K Frames Game Playing with Language Agents ASSISTGUI: Task-Oriented Desktop Graphical User Interface Automation

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-07T10:51:57.954802Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:51:57.954802Z digest=sha256:07f85494fc5283273cff87143575659d83d71cdd578e0fd4c43d2935fb91ea8d

Observation 07a8ceba-7c66-4065-833c-3a95960ba81d · outbound

This paper cites Mindagent: Emergent gaming interaction.

TextAtari: 100K Frames Game Playing with Language Agents Mindagent: Emergent gaming interaction

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:51:58.805221Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T10:51:57.957443Z digest=sha256:f118b69dae120771f3dd178057e43cf94693f8a8acfe516f5556837773719f68

Observation c3e2e1e8-768a-4856-8e18-01960b571f89 · outbound

This paper cites Robotouille: An Asynchronous Planning Benchmark for LLM Agents.

TextAtari: 100K Frames Game Playing with Language Agents Robotouille: An Asynchronous Planning Benchmark for LLM Agents

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-07T10:51:57.959739Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:51:57.959739Z digest=sha256:e082c8fd6cd0cda2be771ebc7c863363ef5725486045ad7de37e4ce95f3b75c6

Observation f15acc78-7af3-4122-b24d-d87c69565e97 · outbound

This paper cites TextArena.

TextAtari: 100K Frames Game Playing with Language Agents TextArena

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-07T10:51:57.962208Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:51:57.962208Z digest=sha256:dc01e42df51304ec56f7f3288dcce1e77616970ede494daa2cf3e62330c09332

Observation c821087c-4a5a-4f75-8d4e-d0f029710f28 · outbound

This paper cites StableToolBench-MirrorAPI: Modeling Tool Environments as Mirrors of 7,000+ Real-World APIs.

TextAtari: 100K Frames Game Playing with Language Agents StableToolBench-MirrorAPI: Modeling Tool Environments as Mirrors of 7,000+ Real-World APIs

Reference 44

Resolution
verified exact
local_arxiv, observed 2026-08-07T10:51:58.527365Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T10:51:57.964820Z digest=sha256:48311fa2084ba9ae37c15416b45b9e71460e4e3d6711cb67a76174a4ed44222d

Observation eac54b83-509a-4da7-8cb4-649b7239adce · outbound

This paper cites MinePlanner: A Benchmark for Long-Horizon Planning in Large Minecraft Worlds.

TextAtari: 100K Frames Game Playing with Language Agents MinePlanner: A Benchmark for Long-Horizon Planning in Large Minecraft Worlds

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-07T10:51:57.967381Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:51:57.967381Z digest=sha256:2a2d352cd81ef44ef93ad01cdeecfe58107ddd88cf14680a4da2d854d46060e6

Observation 41b2cf9d-0447-4e83-aebc-1af6ac4e8fc9 · outbound

This paper cites GameArena: Evaluating LLM Reasoning through Live Computer Games.

TextAtari: 100K Frames Game Playing with Language Agents GameArena: Evaluating LLM Reasoning through Live Computer Games

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-07T10:51:57.969662Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:51:57.969662Z digest=sha256:1bd3411309d5e2e780635ed6319f0bcf0aa3b37633ee102577018cd481b3528e

Observation 4edd2867-40b9-4ec0-8858-cd9aa2121752 · outbound

This paper cites Game-theoretic LLM: Agent Workflow for Negotiation Games.

TextAtari: 100K Frames Game Playing with Language Agents Game-theoretic LLM: Agent Workflow for Negotiation Games

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-07T10:51:57.972217Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:51:57.972217Z digest=sha256:faccffb838dfc685d8696ca50455c32a75a1e9e321cfe22a4445e8d35d1e60b7

Observation 673cf62b-b10e-446e-b1da-f68d93d6ef7f · outbound

This paper cites Mlagentbench: Evaluating language agents on machine learning experimentation.

TextAtari: 100K Frames Game Playing with Language Agents Mlagentbench: Evaluating language agents on machine learning experimentation

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:51:58.798468Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T10:51:57.974785Z digest=sha256:bb64fe3bf4757db5509dd40aa370dd37c225872edf59ca12538760a4e950fc92

Observation fbb9385b-4ee9-40ba-b75f-fa8ea19fb09f · outbound

This paper cites ELT-Bench: An End-to-End Benchmark for Evaluating AI Agents on ELT Pipelines.

TextAtari: 100K Frames Game Playing with Language Agents ELT-Bench: An End-to-End Benchmark for Evaluating AI Agents on ELT Pipelines

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-07T10:51:57.979813Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:51:57.979813Z digest=sha256:1d239cafaa5cd4d4ac2881a8b45c0716284cb8e066fa1b86e861964a2c5b99e4

Observation 50f68584-3649-4ff7-87a1-a558dec7c283 · outbound

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

TextAtari: 100K Frames Game Playing with Language Agents Pok\'eChamp: an Expert-level Minimax Language Agent

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-07T10:51:57.982375Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:51:57.982375Z digest=sha256:2ffa1d9c01f66c9993ccca8fea4596955fa7c8055e270a7fbd017c7f6839d847

Observation 04d0ac78-85e5-4abd-b228-fb0f2de09a2d · outbound

This paper cites Benchmarking Mobile Device Control Agents across Diverse Configurations.

TextAtari: 100K Frames Game Playing with Language Agents Benchmarking Mobile Device Control Agents across Diverse Configurations

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-07T10:51:57.984939Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:51:57.984939Z digest=sha256:34f57dc223e1e63025a66c396171deacf3ac097dab53cb736c48f75dcf7d803b

Observation cf249527-93ee-4a66-a201-37dc7df469d4 · outbound

This paper cites INVESTORBENCH: A Benchmark for Financial Decision-Making Tasks with LLM-based Agent.

TextAtari: 100K Frames Game Playing with Language Agents INVESTORBENCH: A Benchmark for Financial Decision-Making Tasks with LLM-based Agent

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-07T10:51:57.987439Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:51:57.987439Z digest=sha256:fa126bcaf351911a860f8f4c9834941ec919f0cfef8d5791b86236d8d9564dc6

Observation a60b6585-c21f-4a30-9b52-44f54d0a2f80 · outbound

This paper cites Avalonbench: Evaluating llms playing the game of avalon.

TextAtari: 100K Frames Game Playing with Language Agents Avalonbench: Evaluating llms playing the game of avalon

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:51:58.784337Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T10:51:57.990100Z digest=sha256:2c6ef07fb570f5b3f7f7a80ac18b9a8a8a14bae134cd7c85915fd7342d535309

Observation a2194ce9-acce-47a5-99cb-c99f9567ded3 · outbound

This paper cites VisEscape: A Benchmark for Evaluating Exploration-driven Decision-making in Virtual Escape Rooms.

TextAtari: 100K Frames Game Playing with Language Agents VisEscape: A Benchmark for Evaluating Exploration-driven Decision-making in Virtual Escape Rooms

Reference 55

Resolution
verified exact
local_arxiv, observed 2026-08-07T10:51:58.466041Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T10:51:57.992529Z digest=sha256:a6cd3e5500f312570e4c93347d9beb5e0a4c20ee316b711096c203ee282a85b8

Observation f09f41f3-e65f-4329-bc4a-6d60ff087164 · outbound

This paper cites Robocasa: Large-scale simulation of everyday tasks for generalist robots.

TextAtari: 100K Frames Game Playing with Language Agents Robocasa: Large-scale simulation of everyday tasks for generalist robots

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:51:58.776805Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T10:51:57.995106Z digest=sha256:dc67e371904b63de80ea319cf71fa67a594e372479dd434d1c95bef017cf68ca

Observation 13645ed6-a5b8-4d94-942a-6771b241bbe6 · outbound

This paper cites MLGym: A New Framework and Benchmark for Advancing AI Research Agents.

TextAtari: 100K Frames Game Playing with Language Agents MLGym: A New Framework and Benchmark for Advancing AI Research Agents

Reference 57

Resolution
unresolved
no resolver link, observed 2026-08-07T10:51:57.997567Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:51:57.997567Z digest=sha256:b291b2c8885e14203271df591279a72afedbcba055511e971a19f5c624628add

Observation 11ff414e-253f-4674-b5a1-923d133e8bf3 · outbound

This paper cites BALROG: Benchmarking Agentic LLM and VLM Reasoning On Games.

TextAtari: 100K Frames Game Playing with Language Agents BALROG: Benchmarking Agentic LLM and VLM Reasoning On Games

Reference 58

Resolution
unresolved
no resolver link, observed 2026-08-07T10:51:58.000104Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:51:58.000104Z digest=sha256:8061830138e6a2d45338654761a2c7e7c38776dbf4b4ed7a2da13dec70eb4939

Observation 642b00eb-2ed7-4d13-924e-1a7f4d0d490c · outbound

This paper cites Webcanvas: Benchmarking web agents in online environments.

TextAtari: 100K Frames Game Playing with Language Agents Webcanvas: Benchmarking web agents in online environments

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:51:58.769039Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T10:51:58.002685Z digest=sha256:525d617efc6d47c436e73993b02244b0f0b6c4f12cc4c3c437ca560b9f65736e

Observation 6df787fc-20c7-477e-8be5-a35470ab19de · outbound

This paper cites S., Poelitz, C., Baral, C., Roy, S., Chakravarthy, R., Van Durme, B., and Nouri, E.

TextAtari: 100K Frames Game Playing with Language Agents S., Poelitz, C., Baral, C., Roy, S., Chakravarthy, R., Van Durme, B., and Nouri, E

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:51:58.760996Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T10:51:58.005762Z digest=sha256:8d42e258903deecfebbdb92efa17cc160cfcec389fa5c97725603adbb7796b94

Observation 60997a0a-ee82-4f1d-9159-69c2e05dc2b9 · outbound

This paper cites EscapeBench: Towards Advancing Creative Intelligence of Language Model Agents.

TextAtari: 100K Frames Game Playing with Language Agents EscapeBench: Towards Advancing Creative Intelligence of Language Model Agents

Reference 61

Resolution
unresolved
no resolver link, observed 2026-08-07T10:51:58.008273Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:51:58.008273Z digest=sha256:807fbddde625e82e2348e6c6eda64dca4904cafac2a264757cf4eca5ee970c9c

Observation 7130cb0e-7f92-4a42-b83c-92c8226a9d50 · outbound

This paper cites Towards completeness- oriented tool retrieval for large language models.

TextAtari: 100K Frames Game Playing with Language Agents Towards completeness- oriented tool retrieval for large language models

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:51:58.752131Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T10:51:58.010805Z digest=sha256:f05b5c242b364d405b6127d8fb848eaa89ecf9e68fed71cdeed68080ea31ab00

Observation aa11b4b7-ce2a-4d60-9d66-13383b3d8ee5 · outbound

This paper cites Android in the Wild: A Large-Scale Dataset for Android Device Control.

TextAtari: 100K Frames Game Playing with Language Agents Android in the Wild: A Large-Scale Dataset for Android Device Control

Reference 63

Resolution
unresolved
no resolver link, observed 2026-08-07T10:51:58.013048Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:51:58.013048Z digest=sha256:2528a25a461f2fa02a3e58c09b394c2016c696050345a80b39e07169f89985ef

Observation 39408345-5e38-4147-841f-46daed0dea17 · outbound

This paper cites AndroidWorld: A Dynamic Benchmarking Environment for Autonomous Agents.

TextAtari: 100K Frames Game Playing with Language Agents AndroidWorld: A Dynamic Benchmarking Environment for Autonomous Agents

Reference 64

Resolution
unresolved
no resolver link, observed 2026-08-07T10:51:58.015562Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:51:58.015562Z digest=sha256:4176559b0d5be7973604588b9767f23f330b7ec234c4a21c8b2651e6c895e98a

Observation 3aeab53a-c353-4d10-8076-9e802115237b · outbound

This paper cites HCAST: Human-Calibrated Autonomy Software Tasks.

TextAtari: 100K Frames Game Playing with Language Agents HCAST: Human-Calibrated Autonomy Software Tasks

Reference 65

Resolution
unresolved
no resolver link, observed 2026-08-07T10:51:58.018334Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:51:58.018334Z digest=sha256:6d43cbc2be4426b5ae8f04fbbeaf53c26ed5f102ad771d0dcf9d89244ba5f422

Observation 8d876b5e-022d-40bd-b173-4d0e16cc8068 · outbound

This paper cites VGRP-Bench: Visual Grid Reasoning Puzzle Benchmark for Large Vision-Language Models.

TextAtari: 100K Frames Game Playing with Language Agents VGRP-Bench: Visual Grid Reasoning Puzzle Benchmark for Large Vision-Language Models

Reference 66

Resolution
unresolved
no resolver link, observed 2026-08-07T10:51:58.020886Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:51:58.020886Z digest=sha256:3f7f675568aff2c882cbea839e16250a275bb687389ad574e2b1dfa1e883b485

Observation cf109de7-ebbb-4603-a899-a24fc68d1ffa · outbound

This paper cites Benchmarking llms’ swarm intelligence.arXiv preprint arXiv:2505.04364,.

TextAtari: 100K Frames Game Playing with Language Agents Benchmarking llms’ swarm intelligence.arXiv preprint arXiv:2505.04364,

Reference 67

Resolution
unresolved
no resolver link, observed 2026-08-07T10:51:58.023365Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:51:58.023365Z digest=sha256:4139b3ec9e998f87e4fb8d5c8fbfd4d900249a2214197db4dd865604aa658061

Observation 26f41d3f-b145-4e07-a21b-574206023928 · outbound

This paper cites BEARCUBS: A benchmark for computer-using web agents.

TextAtari: 100K Frames Game Playing with Language Agents BEARCUBS: A benchmark for computer-using web agents

Reference 68

Resolution
unresolved
no resolver link, observed 2026-08-07T10:51:58.025861Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:51:58.025861Z digest=sha256:dc9eb761db41fbec46cb46b39ee7d63d300f4512151c7524ef2f1e7ab8676895

Observation fb0ac476-bcf0-47df-bc34-0903d289a50f · outbound

This paper cites Collab-overcooked: Benchmark- ing and evaluating large language models as collaborative agents.arXiv preprint arXiv:2502.20073,.

TextAtari: 100K Frames Game Playing with Language Agents Collab-overcooked: Benchmark- ing and evaluating large language models as collaborative agents.arXiv preprint arXiv:2502.20073,

Reference 69

Resolution
unresolved
no resolver link, observed 2026-08-07T10:51:58.028425Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:51:58.028425Z digest=sha256:89fc537c23222e65e13333f5b12ee404a2286a4829719abd1f310b520894ec3f

Observation f5cfadee-da85-43dc-a166-218bc5e42408 · outbound

This paper cites Meta-gui: Towards multi-modal conver- sational agents on mobile gui.

TextAtari: 100K Frames Game Playing with Language Agents Meta-gui: Towards multi-modal conver- sational agents on mobile gui

Reference 70

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:51:58.744799Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T10:51:58.030878Z digest=sha256:5205b20ca1ffa35c2290766f0eaacb849e8bb7ab45772127a28eaae72d9f653e

Observation 8dfe39e2-48bc-47a4-9dde-b742d1ab2799 · outbound

This paper cites Towards general computer control: A multimodal agent for red dead redemption ii as a case study.

TextAtari: 100K Frames Game Playing with Language Agents Towards general computer control: A multimodal agent for red dead redemption ii as a case study

Reference 71

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:51:58.737148Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T10:51:58.033074Z digest=sha256:ab3da8a76515925f6d7d6e716e267ecae90865d3847a35f34f389e87d5e1e0fe

Observation 2d8e1068-a98b-4348-aaee-3380a9b61f06 · outbound

This paper cites ToolAlpaca: Generalized Tool Learning for Language Models with 3000 Simulated Cases.

TextAtari: 100K Frames Game Playing with Language Agents ToolAlpaca: Generalized Tool Learning for Language Models with 3000 Simulated Cases

Reference 72

Resolution
unresolved
no resolver link, observed 2026-08-07T10:51:58.035425Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:51:58.035425Z digest=sha256:ec740fee4592f040de2294c807631d877650f8e29029259d3f1c61231227be21

Observation 6015bba6-c07a-4abf-992a-3a084b36591f · outbound

This paper cites DSGBench: A Diverse Strategic Game Benchmark for Evaluating LLM-based Agents in Complex Decision-Making Environments.

TextAtari: 100K Frames Game Playing with Language Agents DSGBench: A Diverse Strategic Game Benchmark for Evaluating LLM-based Agents in Complex Decision-Making Environments

Reference 73

Resolution
unresolved
no resolver link, observed 2026-08-07T10:51:58.037924Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:51:58.037924Z digest=sha256:f6ae4f0ed96b7f7824be16098663dfcf4c847cb67563103076d636f24af93e6b

Observation ec4256ed-f96b-4f46-b1f3-483b437f6db7 · outbound

This paper cites WebGames: Challenging General-Purpose Web-Browsing AI Agents.

TextAtari: 100K Frames Game Playing with Language Agents WebGames: Challenging General-Purpose Web-Browsing AI Agents

Reference 74

Resolution
unresolved
no resolver link, observed 2026-08-07T10:51:58.040479Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:51:58.040479Z digest=sha256:228ae40ab1412fe1973044cd68a7f84e0d5d5c9454e1d6cb85b35ad10e9f56d2

Observation 1be3eb04-548a-4ad8-8c37-35aa46447fc0 · outbound

This paper cites Learning to speak and act in a fantasy text adventure game.

TextAtari: 100K Frames Game Playing with Language Agents Learning to speak and act in a fantasy text adventure game

Reference 75

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:51:58.729603Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T10:51:58.043167Z digest=sha256:91d98ad8cf0ab08ec7aeb330c0a77f3670cca4f3f32f432504985a054b0bc3f5

Observation a0b7e03e-a1e2-4239-9e8c-413810b48083 · outbound

This paper cites UGIF: UI Grounded Instruction Following.

TextAtari: 100K Frames Game Playing with Language Agents UGIF: UI Grounded Instruction Following

Reference 76

Resolution
unresolved
no resolver link, observed 2026-08-07T10:51:58.045367Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:51:58.045367Z digest=sha256:20936ebd8211a068b03a4698ce55774aa7e83864b37d8ae522b6341185700ef7

Observation b7ce1635-67ab-4504-8095-2c148589cd2c · outbound

This paper cites MobileAgentBench: An Efficient and User-Friendly Benchmark for Mobile LLM Agents.

TextAtari: 100K Frames Game Playing with Language Agents MobileAgentBench: An Efficient and User-Friendly Benchmark for Mobile LLM Agents

Reference 77

Resolution
unresolved
no resolver link, observed 2026-08-07T10:51:58.047723Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:51:58.047723Z digest=sha256:253587ce569d62d05793ec73a5f6827988295e6b82bdca5938989f0026409b52

Observation 9583adb3-51b2-41e2-bde5-666e154bd097 · outbound

This paper cites BattleAgentBench: A Benchmark for Evaluating Cooperation and Competition Capabilities of Language Models in Multi-Agent Systems.

TextAtari: 100K Frames Game Playing with Language Agents BattleAgentBench: A Benchmark for Evaluating Cooperation and Competition Capabilities of Language Models in Multi-Agent Systems

Reference 78

Resolution
unresolved
no resolver link, observed 2026-08-07T10:51:58.050301Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:51:58.050301Z digest=sha256:3ca9462fd965cecbe6036d4aad48cf61a9afbc303eaa0ef18b63f9472e94fc34

Observation 603c9afb-9026-40fe-9f5a-dc6febb693fb · outbound

This paper cites RE-Bench: Evaluating frontier AI R&D capabilities of language model agents against human experts.

TextAtari: 100K Frames Game Playing with Language Agents RE-Bench: Evaluating frontier AI R&D capabilities of language model agents against human experts

Reference 79

Resolution
unresolved
no resolver link, observed 2026-08-07T10:51:58.052862Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:51:58.052862Z digest=sha256:540ece36818e708fa27b688e9561fec10a5454ea9291501bedec816f2b686f8f

Observation b81d5261-bcb0-42de-b9eb-04ef7c2734a8 · outbound

This paper cites Deciphering digital detectives: Understanding llm behaviors and capabilities in multi-agent mystery games.

TextAtari: 100K Frames Game Playing with Language Agents Deciphering digital detectives: Understanding llm behaviors and capabilities in multi-agent mystery games

Reference 80

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:51:58.721881Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T10:51:58.055437Z digest=sha256:ab2a3b7a714cebc365e4d9d50f0c4307eb0487f69024bfa710e80f52acffc3e4

Observation 2bd4f9de-1c2e-4743-9da6-c37012f25e11 · outbound

This paper cites TheAgentCompany: Benchmarking LLM Agents on Consequential Real World Tasks.

TextAtari: 100K Frames Game Playing with Language Agents TheAgentCompany: Benchmarking LLM Agents on Consequential Real World Tasks

Reference 81

Resolution
unresolved
no resolver link, observed 2026-08-07T10:51:58.057924Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:51:58.057924Z digest=sha256:469965da0fe7a72897a7807288b0a85888deb8c22cafefd08f35d0296ff66098

Observation b9d7a9a2-c795-40ac-a7d7-17ed2ea50147 · outbound

This paper cites Spin-bench: How well do llms plan strategically and reason socially?arXiv preprint arXiv:2503.12349,.

TextAtari: 100K Frames Game Playing with Language Agents Spin-bench: How well do llms plan strategically and reason socially?arXiv preprint arXiv:2503.12349,

Reference 82

Resolution
unresolved
no resolver link, observed 2026-08-07T10:51:58.060557Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:51:58.060557Z digest=sha256:5453af7eeaad0111ae21c2ffbc24479538783d12cc0c5410397eba8369292d4d

Observation fba615b7-73f1-42d4-8854-874aaef541e6 · outbound

This paper cites $\tau$-bench: A Benchmark for Tool-Agent-User Interaction in Real-World Domains.

TextAtari: 100K Frames Game Playing with Language Agents $\tau$-bench: A Benchmark for Tool-Agent-User Interaction in Real-World Domains

Reference 83

Resolution
unresolved
no resolver link, observed 2026-08-07T10:51:58.062989Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:51:58.062989Z digest=sha256:7a021d36890643ba544a05d3f788a65c2f3db414565557b04eefa850b0058cd2

Observation b142487a-15b2-44a5-a060-573cbc40dd04 · outbound

This paper cites Multi-Mission Tool Bench: Assessing the Robustness of LLM based Agents through Related and Dynamic Missions.

TextAtari: 100K Frames Game Playing with Language Agents Multi-Mission Tool Bench: Assessing the Robustness of LLM based Agents through Related and Dynamic Missions

Reference 84

Resolution
unresolved
no resolver link, observed 2026-08-07T10:51:58.065557Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:51:58.065557Z digest=sha256:757d0f712d88dc710bd1b638b1cc205a637137413e984deea53d6313134e4ede

Observation b94d4752-978e-4d74-a342-6ff66f6223c2 · outbound

This paper cites debug-gym: A Text-Based Environment for Interactive Debugging.

TextAtari: 100K Frames Game Playing with Language Agents debug-gym: A Text-Based Environment for Interactive Debugging

Reference 85

Resolution
unresolved
no resolver link, observed 2026-08-07T10:51:58.068137Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:51:58.068137Z digest=sha256:c63e8aa95ff0f65807f769ad65c799cceeb330be45b76768fbdac22bf6b328e5

Observation c2970685-9d6e-450c-afcb-f196175c719a · outbound

This paper cites Mobile-Env: Building Qualified Evaluation Benchmarks for LLM-GUI Interaction.

TextAtari: 100K Frames Game Playing with Language Agents Mobile-Env: Building Qualified Evaluation Benchmarks for LLM-GUI Interaction

Reference 86

Resolution
unresolved
no resolver link, observed 2026-08-07T10:51:58.070531Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:51:58.070531Z digest=sha256:498325d12f6bc7637b1779002d25eed4d22df17018cec693b70753049e72aa53

Observation 39af66e0-8999-46a8-a4b3-4428f7e53406 · outbound

This paper cites ING-VP: MLLMs cannot Play Easy Vision-based Games Yet.

TextAtari: 100K Frames Game Playing with Language Agents ING-VP: MLLMs cannot Play Easy Vision-based Games Yet

Reference 87

Resolution
unresolved
no resolver link, observed 2026-08-07T10:51:58.073022Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:51:58.073022Z digest=sha256:a23719c982856e783583eef35baca65c2c491b617dd481566f4b55673f1f2acc

Observation 29aa86f6-1684-46a1-9549-6c7e8d2b6410 · outbound

This paper cites V-MAGE: A Game Evaluation Framework for Assessing Vision-Centric Capabilities in Multimodal Large Language Models.

TextAtari: 100K Frames Game Playing with Language Agents V-MAGE: A Game Evaluation Framework for Assessing Vision-Centric Capabilities in Multimodal Large Language Models

Reference 88

Resolution
unresolved
no resolver link, observed 2026-08-07T10:51:58.075505Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:51:58.075505Z digest=sha256:dadc4fe967603abb694ff4fa501ce9d7df4af3c10ee307d8a19265688d7dc568

Observation 66937c2f-f9c2-4f94-9652-61e49eab3b92 · outbound

This paper cites Cradle: Empowering Foundation Agents Towards General Computer Control.

TextAtari: 100K Frames Game Playing with Language Agents Cradle: Empowering Foundation Agents Towards General Computer Control

Reference 2015

Resolution
unresolved
no resolver link, observed 2026-08-07T10:51:57.879710Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:51:57.879710Z digest=sha256:8a17747da1259be0026078074e71b8eb9ef96b97632c344d755aa65f4c915ef5

Observation a6242b26-816c-48de-9d7d-57f40b18bba3 · outbound

This paper cites From System 1 to System 2: A Survey of Reasoning Large Language Models.

TextAtari: 100K Frames Game Playing with Language Agents From System 1 to System 2: A Survey of Reasoning Large Language Models

Reference 2017

Resolution
unresolved
no resolver link, observed 2026-08-07T10:51:57.874462Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:51:57.874462Z digest=sha256:b3568e16055b2f315776f15a51d6246c0dce8f590745c7fd8ad5715ff40e107a

Observation d9e984a3-57ee-4d7a-bf01-87859956317b · outbound

This paper cites ScienceAgentBench: Toward Rigorous Assessment of Language Agents for Data-Driven Scientific Discovery.

TextAtari: 100K Frames Game Playing with Language Agents ScienceAgentBench: Toward Rigorous Assessment of Language Agents for Data-Driven Scientific Discovery

Reference 2019

Resolution
unresolved
no resolver link, observed 2026-08-07T10:51:57.940291Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:51:57.940291Z digest=sha256:b79262d841437d051a869df366d2f8d5fbf676d97cbfb1c61809e5b2615d52c8

Observation 4660146f-e1cf-4c40-b82f-1e3ab19f128f · outbound

This paper cites K., Li, Y ., Ding, C., Lin, J., Liang, P.

TextAtari: 100K Frames Game Playing with Language Agents K., Li, Y ., Ding, C., Lin, J., Liang, P

Reference 2020

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:51:58.791332Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T10:51:57.977421Z digest=sha256:0c8bd5a30d011d3f4070804bfc66cd2453fd574f97e47fde5f42e684930b51a3

Observation c0fcd62f-7c9d-43c8-b73a-ae5d7b24c136 · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

TextAtari: 100K Frames Game Playing with Language Agents DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 2022

Resolution
unresolved
no resolver link, observed 2026-08-07T10:51:57.862772Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:51:57.862772Z digest=sha256:86e71d3e56b63ef561aa929b87acdfdbb19dc546422722487a10f85b3230adb1

Observation dde6f1c0-7727-4465-8198-1962f7ef49fe · outbound

This paper cites an unresolved cited work.

TextAtari: 100K Frames Game Playing with Language Agents Unresolved cited work

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-07T10:51:57.898030Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:51:57.898030Z digest=sha256:1756c28381c8aee9b9653d69aaec50a631a412d6d736b00ca83e4dca520a8bca

Observation a6dd0242-401b-4acf-9936-8be417f6b87a · outbound

This paper cites On the Empirical Complexity of Reasoning and Planning in LLMs.

TextAtari: 100K Frames Game Playing with Language Agents On the Empirical Complexity of Reasoning and Planning in LLMs

Reference 2024

Resolution
verified exact
local_arxiv, observed 2026-08-07T10:51:58.681393Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T10:51:57.868526Z digest=sha256:f47d325cf3c49bc8ccab0ceea7c77d16d2ab3abd7a0d5639ec541db26757dafe

Observation 4e2f6414-43e3-4a04-bfa9-e5547de52b0c · outbound

This paper cites Towards Reasoning Era: A Survey of Long Chain-of-Thought for Reasoning Large Language Models.

TextAtari: 100K Frames Game Playing with Language Agents Towards Reasoning Era: A Survey of Long Chain-of-Thought for Reasoning Large Language Models

Reference 2025

Resolution
unresolved
no resolver link, observed 2026-08-07T10:51:57.856574Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:51:57.856574Z digest=sha256:cce1371d3ad071dce1460f58fb7b751a1a20fb1005c174e487af417f8ce18a3f

Pith citing papers

Observation c62d0942-60e6-4708-9b00-5241d0f3840e · inbound

Towards Generalist Game Players: An Investigation of Foundation Models in the Game Multiverse cites this paper.

Towards Generalist Game Players: An Investigation of Foundation Models in the Game Multiverse TextAtari: 100K Frames Game Playing with Language Agents

Reference 97

Resolution
verified exact
arxiv_id, observed 2026-05-12T03:26:18.977308Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-12T03:25:24.844859Z digest=sha256:c3f50253c1a01d60b54071b7238ca3ce55b225f2fb84a6c9f8881d2327be86d2

Observation 5a8e039e-5332-4f1a-ac2b-6464c2739f99 · inbound

Towards Generalist Game Players: An Investigation of Foundation Models in the Game Multiverse cites this paper.

Towards Generalist Game Players: An Investigation of Foundation Models in the Game Multiverse TextAtari: 100K Frames Game Playing with Language Agents

Reference 97

Resolution
verified exact
arxiv_id, observed 2026-05-13T06:47:26.898908Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-13T06:44:28.552513Z digest=sha256:8dac114017ea63ea148169e8641fd19408baf989fe3f9885f8d4dd94021235bf

Observation a4992a0d-bcda-4fc6-9a31-3f41dcbd3384 · inbound

SPIKE: An Adaptive Dual Controller Framework for Cost-Efficient Long-Horizon Game Agents cites this paper.

SPIKE: An Adaptive Dual Controller Framework for Cost-Efficient Long-Horizon Game Agents TextAtari: 100K Frames Game Playing with Language Agents

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-05-20T10:33:12.260087Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-20T10:32:26.668583Z digest=sha256:35fce1e79c740ea8dc6f944d5969d0c0325d5e7d1f579f6431986f31108953b1

Observation 73725c1b-2cb9-4a44-ad97-de4199b37c36 · inbound

DemoEvolve: Overcoming Sparse Feedback in Agentic Harness Evolution with Demonstrations cites this paper.

DemoEvolve: Overcoming Sparse Feedback in Agentic Harness Evolution with Demonstrations TextAtari: 100K Frames Game Playing with Language Agents

Reference 18

Resolution
verified exact
arxiv_id, observed 2026-06-30T13:14:40.650533Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-30T13:12:46.927103Z digest=sha256:4f47df78eb23553aafe6759c2ec3a01d462b5927fe5efdb73867304e1cf6dcbf