Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Explore the Reasoning Capability of LLMs in the Chess Testbed
As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2411.06655.
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 2026-08-21T06:32:19.484+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-15T23:41:34.287698Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-06T21:13:15.632627Z
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 4d3cdc32-aecb-4a37-97f9-423cf1c7a718 · inbound
R^3-VQA: "Read the Room" by Video Social Reasoning cites this paper.
R^3-VQA: "Read the Room" by Video Social Reasoning Explore the Reasoning Capability of LLMs in the Chess Testbed
Reference 60
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T23:41:34.287698Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b30c748d-c604-49f7-9c3c-aa054484011c · inbound
SwS: Self-aware Weakness-driven Problem Synthesis in Reinforcement Learning for LLM Reasoning cites this paper.
SwS: Self-aware Weakness-driven Problem Synthesis in Reinforcement Learning for LLM Reasoning Explore the Reasoning Capability of LLMs in the Chess Testbed
Reference 51
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T05:01:24.227678Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 32e410e0-aecd-43f8-b37e-3f295d39d486 · inbound
Can Large Language Models Develop Strategic Reasoning? Post-training Insights from Learning Chess cites this paper.
Can Large Language Models Develop Strategic Reasoning? Post-training Insights from Learning Chess Explore the Reasoning Capability of LLMs in the Chess Testbed
Reference 21
- Resolution
- verified exact
- local_arxiv, observed 2026-08-06T21:13:15.641036Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.