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Paper Citation Record · LEDGER

The Power of Regularization in Solving Extensive-Form Games

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2206.09495.

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

pith.paper-citation-record.v1
2206.09495 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T22:58:10.248130Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-20T07:53:10.028807Z

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 8b33b245-d061-42e7-938e-dc99cf2cad7b · inbound

Rapid Learning in Constrained Minimax Games with Negative Momentum cites this paper.

Rapid Learning in Constrained Minimax Games with Negative Momentum The Power of Regularization in Solving Extensive-Form Games

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-10T22:58:10.248130Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T22:58:10.248130Z digest=sha256:1b7a5b71796852e8ca47db8d462b8b77e3bb1c99ac58777a5efa665b84b2f802

Observation d66d880d-b6ce-4404-827c-2e1496e23485 · inbound

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

GAE Falls Short in Imperfect-Information Self-Play Reinforcement Learning The Power of Regularization in Solving Extensive-Form Games

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-05-20T07:53:10.031835Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-20T07:50:09.840762Z digest=sha256:38b2ad38ea81715e34fee020a0adcda35ef44fb519f2b63af3d4f5678d2089df