Pith. sign in

Paper Citation Record · LEDGER

TextAtari: 100K Frames Game Playing with Language Agents

As of 8 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 2026-08-08T06:32:00.761636+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:a3db4857c24577ceb019835832eef6c394f56044a0ddc5e59b35ef9d733508d6

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=sha256:3bd5f01f1c4bd01efa9450138032e6ceaa7f84298defd583c84afa890d449055

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:b3557c1ac29cd6aa28106ad518c106fd905d56e0ddd0e068acfa7ee2a4f6c0c3

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=sha256:941b8b03b11c8e8a0d6d899993ecf8bb56ac2efbbbca1ee2bbf0477612131f42

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:b6b22897085b33f4fc95427e0fa77571762fe6363e96d46b5e5491481eb4d80e

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:ea06a91693fc4006e1e024c87cd710cfff11ad26c99525a2dd71e0a5429f3700

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=sha256:6af033eec01504d6f039ad89c6deed8618273fe7c26cdc16150939d053d365a6

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:d7dabc13ad0390e035d65d07f732a3d0c308024e94c27041fbc6ac2208cfba71

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=sha256:5c5b7f249a612552a8e7bdd94ab948ce236cb12ec247d1b3d87b31067496b081

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=sha256:898692191c64d32a72a3f0f0f7892fee46c6a4ae839f559e092d56b7d74f5528

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:dec52880aa87db1efb7ecc6e7557ca7fd68a12961c4fe3fcc10ff9b2676bf9ba

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:fa6f2cb431373052d4aba27a7705e7f325d4dfec40ea9efbcc90ff1a9af428f8

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=sha256:6339286a974a32e4f3c74718fd3925ca45824c0d209ae2bda585f87c093a8572

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=sha256:0a4833be2615b05a2241292bef10a9f565cae76d6b684f5e2fecc0128267ca34

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=sha256:8614f54b5556c1b7ac977b6194fcc85961b0569fb8eab436b4f99642f3eb6b28

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T10:51:57.908452Z digest=sha256:8f0272897184355e07e1ebc77a007c282b0cbfe1561d4fcd35d74797aa74837c

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T10:51:57.910831Z digest=sha256:8f270071637adef45f21ace32baa1743a577f9ca3a138c1a96f37536fbd517a5

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T10:51:57.913158Z digest=sha256:03801daa707edc8897db58bfbbdc42804b93b18ba54f68f254517a1a8f54a7ed

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T10:51:57.915486Z digest=sha256:e54a5a5502cb237d36284a18c1cdbf1560c2903b714d6d4836a606e3667e77c7

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:d239795b322b269e30cec1759a3f18c696026123d9fc2e4f42fbfee38a9c4e9f

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:e6dc7d17ea2f7c6d098c63a14982b3843c43f9c1eb150851667bdfd1f61cd75e

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T10:51:57.925519Z digest=sha256:9ee2a479f909df7b9e72e1a6153487decd12ee801e05cb0f93c304ca3d59b526

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=sha256:2435d852ce409b1214307940984b857ceefbf93fca8c527075879dbd48416e02

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T10:51:57.930061Z digest=sha256:1f8eddc3e81233d6087e648a28ed4d8de3b18780dce9218980ed1623696f940f

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=sha256:45ac6566a9afdbcaca5c1d6b63eb229a65eee11f45e44d402f3fa6344914f14f

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:f3437a4de278988ee12db925e199185fccf1995f7f4f5d92f08786d038863b9a

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=sha256:7c7a5542e1848a99f6835bacb47bcb1d982814728e6602ed3052078d5cd87cbd

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T10:51:57.943103Z digest=sha256:d627d4032cd4cbb32e6be847e62063d01edf5321a4627dfb2a920b5562195dbf

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T10:51:57.945473Z digest=sha256:391977ce0e771cb3826b7b814c0ac303c1c297a1021d549f203ef8cfd1cdd60b

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T10:51:57.947734Z digest=sha256:f25515ec9495bef90fd2bac896d148db8303ae9ac99971b5fbb9302809aa2be3

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T10:51:57.950009Z digest=sha256:556fabae8f7257304466481a1c46494c8f8976cb1d0e646df97964fadb146697

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T10:51:57.952442Z digest=sha256:5e9d97a7d954f0bbb557464ab6a7077e91d4e79efb00a1ee3613f9fb47899f21

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:a1afae50086807412afdc5cc522e2643af0ceac859fa946f11eb4d460ad167de

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T10:51:57.957443Z digest=sha256:e8db6dd75e742253ae86b298ecfc99cd62b1a04e7d31d79c48b06da6a0bcb455

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=sha256:73f8d295757fbde449c4512367cb8d998d25f5cbe6fbae3454cafe6a13d67c87

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=sha256:0ee25a93aecfbb19a7179f5f08a6233a49aa14f7ab5d880213d6ac7316d282ee

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T10:51:57.964820Z digest=sha256:94ccfd03312964e3b40426f49bbd18e1c881cce57166cd1dfd32ec29e7cf505d

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:be4544775d29939009bdbd54f7448330c7c7274da46983d161d868e3ce6eba82

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=sha256:54c6ad32979f504b095e4a5642a597ea9933b9a97500a1eebdc94d27326c6e98

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:abeac20b21b8c1af73dc03cf33077249b398250e4a4c13965cb32893405f8e1e

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T10:51:57.974785Z digest=sha256:06ac7a8bba04e0778e8baf675e5c64f78b46dda4ab236fbfae36c2754daae388

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:d03e2292ac3b3ef47782392142d04267c7d4e08457c82b3ace73f41c6ae87039

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:daa6754885e088d6c1e3b805d9a1c0e7dec472febe4d1879ea205001c8d4cf0c

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=sha256:1ca7859d753a9f780b45d53f4f049aad7e604daaca133904cfc1cb72b47e0bc3

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:ac09f3fe0583ca047f659f20a1c9b145056a9f9b3526af5ea1b3a083d8017b9e

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T10:51:57.990100Z digest=sha256:7cbda4e04b65b31f3956c35500279b38b5324b564677ae88f9efa66b40552ed8

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T10:51:57.992529Z digest=sha256:4a705b85305d66cb636de3fde8647e2a8809a4dd29801d80e3db5d042e53f62b

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T10:51:57.995106Z digest=sha256:98ef50d0dd2ed781f73bcad3e1efcc8e9688f536e01e7941df799d9323918eae

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=sha256:43346fa3f64d00aa4f84f97d23b6ede3a6f530df4b309ba85e4c10d07965056c

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=sha256:2e9858d0a66d343928b3011aeccf76bdc0a7ae530410395062d9cd870f39c637

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T10:51:58.002685Z digest=sha256:8141366f390ef739fd70be923a0a5dd3e3596b0ac74c987612ac7ee2f88e70c6

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T10:51:58.005762Z digest=sha256:e8914356df6f309db5d3bf6d48c47aac3856b276a3141275cb97bdbc577ea763

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:b22b365550dbc7e66aafdb9d537769c03167ee824af0820388458c5d79e9a17b

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T10:51:58.010805Z digest=sha256:b18114be7d8534410193937b693a14678ac2f012175695237a7283d14a002fe5

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=sha256:08d3a8e214eba5ae150e1b77c62412f52e22e0e79d13ffed182bb42fdeb32d46

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=sha256:8bc9ffe697f6450caeb1a327435775e0487c49089064f6756e89bfceb6f45a32

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=sha256:20ca308b1e7b767b10ae227d1284251e7e98283767e59fc6c749576186bae53c

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=sha256:54b5c75603f94eda42da60bc10b4c056c17a5f90643e6a6d8276b8d869108099

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=sha256:5e8b2c4345fb74fad29a74bb20afb678ce7e2bec14193fbf2ecac848a302e3d8

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=sha256:4e3c8e6375c5802c4903309c54d01805e6409173ee6f55152981b4453fe7eddc

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:d896b2da0b69a5e355309006a04894759804fcf67d83bec4a2bbaef152cbc8c5

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T10:51:58.030878Z digest=sha256:7e5501b079727d81a16eda2f552f9559bfc34105ee4d3960cf1b28f7be2e8eee

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T10:51:58.033074Z digest=sha256:f57134fc9ff0ee4e7b52e5d7b1848d90b82cf6812d2c1ba57f3bdd3b642808dc

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=sha256:578745cc92af318554a13fe598bed639858a79d31fba208fe9a40e1ff6e4a9b4

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=sha256:5060e2f56f476207c4bba3c77dcdc1598ba02a3d7438eb4ea6c1c9cb5ef6bcec

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=sha256:4d714720d9b94b8991457dfdf8514d51b6652d2296d4bd5dde7d3d0a47aef6c4

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T10:51:58.043167Z digest=sha256:166ccdff44319364e250fa8fcae27c27bf1bd27a0df90b6f165a3ac761fdcf2c

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:e57e119ff3c946816ba753e775afd0828edf3993f59e42bc4d3ac04d4a456a74

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:edde203055aa414d71389afbadf6c4941825dd2bdecf3e386673305961d24e8c

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=sha256:84f343ae7dc7a28b4759311d909c10662b29099b8d77dc22c27e41afe1b2c052

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=sha256:1fc024e55dabc71441edf194f652e066c63aa982d69b9ceb92e7a5ef2beda692

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T10:51:58.055437Z digest=sha256:e0c128c26a397bf5a028873d8de53bb8009bb18938b5defc96665487386749f7

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:d9601d1e8b95d6bbae0df0c78bc74a168428f085b790292023abdb5d26d5b4b8

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=sha256:01a40d1a93be4fc86115f38f1db68e2140f83d1ca1d50e545080cdc8b2e5c780

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:a304cb03cd99f1e29e6d6856d60069b1a51fe4f06f2db6a067e57da92c228cff

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:d64351e54460d11487715359b49acc797a4b2ce465c9ff8f72b9a61a9d79d130

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:ebf546406538154125f499c9dd19e5dd6782a066a660710f77a2f61445ed568c

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=sha256:501d67184571fa28fbe0f8661a6549045001a308a74a111ff3ec4c2497a19c13

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:e87d1ab3a6f0ac508d18481f5a0fe076bcd6c102e29673daf82bf12da8949186

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=sha256:0bdf7bb6d8e5a88b73844a079a81ce47bdeaa110eb4250166d58d298c9b0592a

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=sha256:23fd78c651956af567706de85cbbc85d0d2ed523395a906dab9058d217a18890

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:a76584da807c0e64bae8528bb22a0ddcf325c3d8e4bff9d2516fdda61d488e64

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:ab8d0e750bb56761d51d31411e787e6a6c56181d47658b8d15cb7682e72bfce7

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T10:51:57.977421Z digest=sha256:87129885c7cca49fc09d9fb3e197ad377eb5e95a752a53af83f95b4a1017d881

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=sha256:9f11c19842a25b0b6bb1e7ca09126518f9f16763c535fc37d0d23619598edcc9

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=sha256:33e4dadd98b0a3663b7bcfa28cd62c7aa7f5d6423b79b26c76d2d43edb772f48

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T10:51:57.868526Z digest=sha256:86453c73d4da774e876171db56f46e56e1b665f59a55529a276dee24df4c492e

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=sha256:86792c3fc0361e9820295243c8a72f1d61ecdcd08bae2389f7a39e5b00e09f28

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-12T03:25:24.844859Z digest=sha256:c66a6a804e169d49127b1f4ea845ae2ed177a21030e767ecd20c8a78e2ff7576

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-13T06:44:28.552513Z digest=sha256:077c1b773c6a9d417a597fefd11f8c5004947bcb084aa54b86a394eed1f48c69

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-20T10:32:26.668583Z digest=sha256:1b648f1f823995dcacb538ce9ba5d3a4a8eb127c3dbc669600aa2ce4ac2cea65

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-30T13:12:46.927103Z digest=sha256:af42ea22c0ca4fd1c2d7115bb00db8d1b55b8fa4d5bc529061dbf27ce1cc5ac2