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Paper Citation Record · LEDGER

Can Large Language Models Play Games? A Case Study of A Self-Play Approach

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2403.05632.

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

pith.paper-citation-record.v1
2403.05632 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 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 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T22:50:33.035279Z

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

1
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 68012398-5a8f-4fd0-afb9-d45dd3f31886 · inbound

Game Theory Meets Large Language Models: A Systematic Survey with Taxonomy and New Frontiers cites this paper.

Game Theory Meets Large Language Models: A Systematic Survey with Taxonomy and New Frontiers Can Large Language Models Play Games? A Case Study of A Self-Play Approach

Reference 94

Resolution
unresolved
no resolver link, observed 2026-08-07T22:50:33.035279Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T22:50:33.035279Z digest=sha256:42c2ae0a6a9d38a45936fbb6dcdc502b8c6a5bdf845f9a3c130cb184b422667b

Observation e6a3dce6-e641-4d3e-96c6-04055b774c2e · inbound

Large Language Model Agent: A Survey on Methodology, Applications and Challenges cites this paper.

Large Language Model Agent: A Survey on Methodology, Applications and Challenges Can Large Language Models Play Games? A Case Study of A Self-Play Approach

Reference 110

Resolution
verified exact
arxiv_id, observed 2026-05-22T21:52:10.534023Z

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=2026-05-22T21:51:34.309870Z digest=sha256:880d59aa893aec68ad55a78aa59dcd4cbddd930b22905d77414680533bb58699

Observation ce29f38e-19a2-4c4f-b4f2-579c465a55fc · inbound

Robots Need More than VLA and World Models cites this paper.

Robots Need More than VLA and World Models Can Large Language Models Play Games? A Case Study of A Self-Play Approach

Reference 151

Resolution
verified exact
arxiv_id, observed 2026-06-28T01:11:28.928891Z

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=arxiv_source observed=2026-06-28T01:01:33.530167Z digest=sha256:7479c7bdf6da7d5b2ef1077e7b5c920aefc521c904b2792b9478300f85d3351a