Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Playing games with Large language models: Randomness and strategy
As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2503.02582.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-15T19:15:00.005453Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-13T21:43:18.821779Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation 3b4c97ab-e1c7-447c-8eab-753383e109d7 · 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 Playing games with Large language models: Randomness and strategy
Reference 38
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T22:50:32.633903Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d2506b77-9ab4-42cb-9e6e-ab99a6f2a830 · inbound
Do LLMs Know When to Flip a Coin? Strategic Randomization through Reasoning and Experience cites this paper.
Do LLMs Know When to Flip a Coin? Strategic Randomization through Reasoning and Experience Playing games with Large language models: Randomness and strategy
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T19:15:00.005453Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8fdf08de-fdc0-482f-8e84-f0d3b186a04c · inbound
Automated Bug Frame Retrieval from Gameplay Videos Using Vision-Language Models cites this paper.
Automated Bug Frame Retrieval from Gameplay Videos Using Vision-Language Models Playing games with Large language models: Randomness and strategy
Reference 53
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T23:50:48.633576Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 64013453-4c08-4135-aea7-d53296b57965 · inbound
Learning Game-Playing Agents with Generative Code Optimization cites this paper.
Learning Game-Playing Agents with Generative Code Optimization Playing games with Large language models: Randomness and strategy
Reference 18
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T16:56:09.723764Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9297338f-82d4-463e-bc56-ad538bfe6424 · inbound
Large language models converge on competitive rationality but diverge on cooperation across providers and generations cites this paper.
Large language models converge on competitive rationality but diverge on cooperation across providers and generations Playing games with Large language models: Randomness and strategy
Reference 25
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T21:43:18.823252Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.