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Paper Citation Record · LEDGER

Fast Convergence of Regularized Learning in Games

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1507.00407.

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

pith.paper-citation-record.v1
1507.00407 v5

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 2026-08-10T06:31:04.303077+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T21:20:18.390072Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-09T21:20:18.492821Z

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 cb551d33-3483-4eb0-9813-22784c37fb7b · inbound

Prediction-Aware Learning in Multi-Agent Systems cites this paper.

Prediction-Aware Learning in Multi-Agent Systems Fast Convergence of Regularized Learning in Games

Reference 69

Resolution
verified exact
local_arxiv, observed 2026-08-09T21:20:18.498529Z

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.

source=arxiv_source observed=2026-08-09T21:20:18.390072Z digest=sha256:8048d453e4fc6a9e6133859f9cc1db25b8ebc016c9012fbf2848ac5b0ecea48e

Observation 72df4e53-6cf5-41f7-85ba-a769b0358dbf · inbound

Provably Efficient Regularized Online RLHF with Generalized Bilinear Preferences cites this paper.

Provably Efficient Regularized Online RLHF with Generalized Bilinear Preferences Fast Convergence of Regularized Learning in Games

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-02T20:36:01.314195Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T20:36:01.314195Z digest=sha256:36e1ad629d2f98ea9ced50691de4d8ec950626751130d2b99f9127121ccdf59f