Paper Citation Record · LEDGER

Can Large Language Models Play Text Games Well? Current State-of-the-Art and Open Questions

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2304.02868.

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

pith.paper-citation-record.v1
2304.02868 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 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 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:31:30.811659Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

9
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 45ef27d1-5064-4dff-98ae-44004bbc8bbd · inbound

Scaling Laws for State Dynamics in Large Language Models cites this paper.

Scaling Laws for State Dynamics in Large Language Models Can Large Language Models Play Text Games Well? Current State-of-the-Art and Open Questions

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-07T15:31:30.811659Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d3d40880-4245-4e72-8577-0a94be536f50 · inbound

VideoGameBench: Can Vision-Language Models complete popular video games? cites this paper.

VideoGameBench: Can Vision-Language Models complete popular video games? Can Large Language Models Play Text Games Well? Current State-of-the-Art and Open Questions

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-05-19T12:47:17.777725Z

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.

Observation ac80acf6-b176-4898-8172-ee4f48f990d3 · inbound

Orak: A Foundational Benchmark for Training and Evaluating LLM Agents on Diverse Video Games cites this paper.

Orak: A Foundational Benchmark for Training and Evaluating LLM Agents on Diverse Video Games Can Large Language Models Play Text Games Well? Current State-of-the-Art and Open Questions

Reference 14

Resolution: metadata mismatch; arxiv_id, observed 2026-05-19T12:02:16.583847Z

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.

Observation de3202ed-187d-423b-95af-579c94c86b8b · inbound

Tracing LLM Reasoning Processes with Strategic Games: A Framework for Planning, Revision, and Resource-Constrained Decision Making cites this paper.

Tracing LLM Reasoning Processes with Strategic Games: A Framework for Planning, Revision, and Resource-Constrained Decision Making Can Large Language Models Play Text Games Well? Current State-of-the-Art and Open Questions

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-07T01:06:47.184068Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fb1a3b94-ddc4-4c99-a97f-d39e229c5233 · inbound

Use of a genetic algorithm to find solutions to introductory physics problems cites this paper.

Use of a genetic algorithm to find solutions to introductory physics problems Can Large Language Models Play Text Games Well? Current State-of-the-Art and Open Questions

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-05T23:43:32.223150Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ee8d45ee-475c-44b7-b71d-2e2df4eb0191 · inbound

High-quality generation of dynamic game content via small language models: A proof of concept cites this paper.

High-quality generation of dynamic game content via small language models: A proof of concept Can Large Language Models Play Text Games Well? Current State-of-the-Art and Open Questions

Reference 28

Resolution: verified exact; arxiv_id, observed 2026-05-21T14:34:12.766460Z

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.

Observation 1b836264-9b90-49bc-92cc-a6b8bcfb048f · inbound

OmniGameArena: A Unified UE5 Benchmark for VLM Game Agents with Improvement Dynamics cites this paper.

OmniGameArena: A Unified UE5 Benchmark for VLM Game Agents with Improvement Dynamics Can Large Language Models Play Text Games Well? Current State-of-the-Art and Open Questions

Reference 62

Resolution: verified exact; arxiv_id, observed 2026-07-03T01:07:29.927728Z

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.

Observation 29a2a912-d3b8-44d2-9699-14f1e3472bf1 · inbound

Training with (Swap) Regret Loss in a Single-Layer Self-Attention Model: A Case Study on the Probability Simplex cites this paper.

Training with (Swap) Regret Loss in a Single-Layer Self-Attention Model: A Case Study on the Probability Simplex Can Large Language Models Play Text Games Well? Current State-of-the-Art and Open Questions

Reference 251

Resolution: unresolved; no resolver link, observed 2026-07-31T23:52:13.023014Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.