Paper Citation Record · LEDGER

RLCard: A Toolkit for Reinforcement Learning in Card Games

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:1910.04376.

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

pith.paper-citation-record.v1
1910.04376 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T13:48:54.877153Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T22:37:25.593274Z

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 a9763e06-d04d-44cb-a65f-b37ce1a79bd0 · inbound

Cardiverse: Harnessing LLMs for Novel Card Game Prototyping cites this paper.

Cardiverse: Harnessing LLMs for Novel Card Game Prototyping RLCard: A Toolkit for Reinforcement Learning in Card Games

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-08T13:48:54.877153Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 391eac59-dc3c-4bd7-a365-03b4cf50c2c6 · inbound

Analysis of Bluffing by DQN and CFR in Leduc Hold'em Poker cites this paper.

Analysis of Bluffing by DQN and CFR in Leduc Hold'em Poker RLCard: A Toolkit for Reinforcement Learning in Card Games

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-05T10:25:22.075794Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 94357592-3e47-49d9-9894-b4a81c577647 · inbound

LLMs as Agentic Cooperative Players in Multiplayer UNO cites this paper.

LLMs as Agentic Cooperative Players in Multiplayer UNO RLCard: A Toolkit for Reinforcement Learning in Card Games

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-04T18:35:39.592352Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ddbe7745-7b52-48f8-a711-b954cde1f2f8 · inbound

GAE Falls Short in Imperfect-Information Self-Play Reinforcement Learning cites this paper.

GAE Falls Short in Imperfect-Information Self-Play Reinforcement Learning RLCard: A Toolkit for Reinforcement Learning in Card Games

Reference 26

Resolution: verified exact; arxiv_id, observed 2026-05-20T07:53:09.994277Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 2c7c9f14-136f-4ef2-b93e-b52741edbc2c · inbound

From Player to Master: Enhancing Test-Time Learning of LLM Agents via Reinforcement Learning over Memory cites this paper.

From Player to Master: Enhancing Test-Time Learning of LLM Agents via Reinforcement Learning over Memory RLCard: A Toolkit for Reinforcement Learning in Card Games

Reference 44

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T22:37:25.594851Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.