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Paper Citation Record · LEDGER

Mastering the Game of No-Press Diplomacy via Human-Regularized Reinforcement Learning and Planning

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2210.05492.

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

pith.paper-citation-record.v1
2210.05492 v1

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 2026-08-08T06:32:00.761636+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:45:15.575617Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T14:28:32.017827Z

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 bed73b27-ddcb-4714-b0e6-b02bd592d5fa · inbound

SocialMaze: A Benchmark for Evaluating Social Reasoning in Large Language Models cites this paper.

SocialMaze: A Benchmark for Evaluating Social Reasoning in Large Language Models Mastering the Game of No-Press Diplomacy via Human-Regularized Reinforcement Learning and Planning

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-07T12:45:15.575617Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:45:15.575617Z digest=sha256:c0d4e0f9070a543a32628de8bea60747b3d3ab568f50fe029553fd8bf043589e

Observation fca4374f-d281-4765-a598-2e441dbe33c8 · inbound

Online Competitive Information Gathering for Partially Observable Trajectory Games cites this paper.

Online Competitive Information Gathering for Partially Observable Trajectory Games Mastering the Game of No-Press Diplomacy via Human-Regularized Reinforcement Learning and Planning

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-07T11:39:47.380375Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:39:47.380375Z digest=sha256:c2f3b943dcce988913e231241dd04635457a8c50af63ee0f0c27d1d68104bf4e

Observation 3efe868b-18c8-4c93-a434-f0f212b61fed · inbound

Solving Zero-Sum Convex Markov Games cites this paper.

Solving Zero-Sum Convex Markov Games Mastering the Game of No-Press Diplomacy via Human-Regularized Reinforcement Learning and Planning

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-06T23:55:55.282546Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:55:55.282546Z digest=sha256:5057ab701c97be667641cba822562ed924fd113c006a7c7712f715e1931aeeee

Observation 30c09793-9933-40ab-bfe9-94d6b71025af · inbound

Nash without Numbers: A Social Choice Approach to Mixed Equilibria in Context-Ordinal Games cites this paper.

Nash without Numbers: A Social Choice Approach to Mixed Equilibria in Context-Ordinal Games Mastering the Game of No-Press Diplomacy via Human-Regularized Reinforcement Learning and Planning

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-05-11T03:10:53.281223Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-11T02:38:35.405253Z digest=sha256:68400248df5f2250012356924352f60e48406b780507a6106fbb0d3c840caaf1

Observation 89bee180-a239-401e-93d0-2e56c3f8c4a6 · inbound

Human-like autonomy emerges from self-play and a pinch of human data cites this paper.

Human-like autonomy emerges from self-play and a pinch of human data Mastering the Game of No-Press Diplomacy via Human-Regularized Reinforcement Learning and Planning

Reference 20

Resolution
verified exact
arxiv_id, observed 2026-07-03T14:28:32.019117Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-27T07:01:12.737217Z digest=sha256:b9dcf9d4343834c7fa13e638d40ebbc20054ca5b77dbb50792e7df6209fa8f53