Paper Citation Record · LEDGER

ChessGPT: Bridging Policy Learning and Language Modeling

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2306.09200.

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

pith.paper-citation-record.v1
2306.09200 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T14:21:32.830254Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T09:59:45.735688Z

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 f2a58e12-4387-41a8-b641-cc757c055f81 · inbound

Complete Chess Games Enable LLM Become A Chess Master cites this paper.

Complete Chess Games Enable LLM Become A Chess Master ChessGPT: Bridging Policy Learning and Language Modeling

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-10T14:21:32.830254Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ddaf116f-56cf-4520-bfc5-fdeaf7cca175 · inbound

Tracking World States with Language Models: State-Based Evaluation Using Chess cites this paper.

Tracking World States with Language Models: State-Based Evaluation Using Chess ChessGPT: Bridging Policy Learning and Language Modeling

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-05T15:30:09.485102Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9d4c804a-a0f2-4b71-a7d1-780211abc8ec · inbound

Outbidding and Outbluffing Elite Humans: Mastering Liar's Poker via Self-Play and Reinforcement Learning cites this paper.

Outbidding and Outbluffing Elite Humans: Mastering Liar's Poker via Self-Play and Reinforcement Learning ChessGPT: Bridging Policy Learning and Language Modeling

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-05-18T01:00:34.353190Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 023441d6-c950-4a57-bec6-862e84320b58 · inbound

MIMIC-Py: An Extensible Tool for Personality-Driven Automated Game Testing with Large Language Models cites this paper.

MIMIC-Py: An Extensible Tool for Personality-Driven Automated Game Testing with Large Language Models ChessGPT: Bridging Policy Learning and Language Modeling

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-11T00:45:50.520220Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 47fa77c7-473a-4ddf-8c88-a443b6c548f5 · inbound

Distilling Game Code World Model Generation into Lightweight Large Language Models cites this paper.

Distilling Game Code World Model Generation into Lightweight Large Language Models ChessGPT: Bridging Policy Learning and Language Modeling

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-06-30T14:04:44.604828Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation f496f7f0-2cc3-4ffa-9bf9-f0ff74d84d47 · inbound

On the Limits of Prompt-Conditioned Language Models as General-Purpose Learners cites this paper.

On the Limits of Prompt-Conditioned Language Models as General-Purpose Learners ChessGPT: Bridging Policy Learning and Language Modeling

Reference 5

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T09:59:45.737230Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.