Paper Citation Record · LEDGER

Optimal last-iterate convergence in matrix games with bandit feedback using the log-barrier

As of 5 August 2026, this Paper Citation Record lists 16 of 16 outbound references and 2 inbound Pith citation observations for arXiv:2604.15242.

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

pith.paper-citation-record.v1
2604.15242 v1

Coverage vector

measured 16 of 16 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-10T10:56:28.962563Z

measured 18 of 18 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-12T19:45:26.097645Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-05-12T06:56:31.620283Z

Reference resolution

16 of 16 outbound references displayed

verified exact3
verified fuzzy13
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 0d1f4776-b34b-4c5e-a87c-4dff08415c90 · outbound

This paper cites Minimax policies for adversarial and stochastic bandits.

Optimal last-iterate convergence in matrix games with bandit feedback using the log-barrier Minimax policies for adversarial and stochastic bandits

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T17:23:10.833260Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 07b20e11-5a28-4b4d-a8e2-12050f3b2170 · outbound

This paper cites Uncoupled and convergent learning in two-player zero-sum markov games with bandit feedback.

Optimal last-iterate convergence in matrix games with bandit feedback using the log-barrier Uncoupled and convergent learning in two-player zero-sum markov games with bandit feedback

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T17:23:10.849983Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 155e5937-64cb-4ec0-a051-24b1ba8afe60 · outbound

This paper cites The harder path: Last iterate convergence for uncoupled learning in zero-sum games with bandit feedback https://proceedings.mlr.press/v267/fiegel25a.html.

Optimal last-iterate convergence in matrix games with bandit feedback using the log-barrier The harder path: Last iterate convergence for uncoupled learning in zero-sum games with bandit feedback https://proceedings.mlr.press/v267/fiegel25a.html

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T17:23:10.827027Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation c28ad7a1-46a4-4969-9fcb-b76a38f97862 · outbound

This paper cites Fundamentals of Convex Analysis, pages 163--208.

Optimal last-iterate convergence in matrix games with bandit feedback using the log-barrier Fundamentals of Convex Analysis, pages 163--208

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T17:23:10.840803Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation b31a8675-a643-4103-94e7-a2993c5aa8dc · outbound

This paper cites Let's be honest: An optimal no-regret framework for zero-sum games https://proceedings.mlr.press/v80/kangarshahi18a.html.

Optimal last-iterate convergence in matrix games with bandit feedback using the log-barrier Let's be honest: An optimal no-regret framework for zero-sum games https://proceedings.mlr.press/v80/kangarshahi18a.html

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T17:23:10.847505Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation d2b03e2f-39db-4e59-b806-a6cb12de3042 · outbound

This paper cites Faster first-order methods for extensive-form game solving.

Optimal last-iterate convergence in matrix games with bandit feedback using the log-barrier Faster first-order methods for extensive-form game solving

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T17:23:10.843971Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation b71d6ffd-b696-42e0-b649-cb142a9b7f41 · outbound

This paper cites Martinet.

Optimal last-iterate convergence in matrix games with bandit feedback using the log-barrier Martinet

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T17:23:10.852592Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 114d6881-f88d-4062-9b58-29aaba751ecf · outbound

This paper cites an unresolved cited work.

Optimal last-iterate convergence in matrix games with bandit feedback using the log-barrier Unresolved cited work

Reference 8

Resolution: verified exact; doi, observed 2026-05-10T11:00:03.640820Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation a47b0796-19ba-42a4-a31d-66cf257b5798 · outbound

This paper cites Optimization, learning, and games with predictable sequences.

Optimal last-iterate convergence in matrix games with bandit feedback using the log-barrier Optimization, learning, and games with predictable sequences

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T17:23:10.860491Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation e1773db9-5f23-4508-943d-a3d44c2ce8d0 · outbound

This paper cites Formes bilin \'e aires coercitives sur les ensembles convexes.

Optimal last-iterate convergence in matrix games with bandit feedback using the log-barrier Formes bilin \'e aires coercitives sur les ensembles convexes

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T17:23:10.868948Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 1a35e6a8-08a1-4341-bf4d-0b5093e5c5d8 · outbound

This paper cites Monotone operators and the proximal point algo rithm.

Optimal last-iterate convergence in matrix games with bandit feedback using the log-barrier Monotone operators and the proximal point algo rithm

Reference 11

Resolution: verified exact; doi, observed 2026-05-10T11:00:03.642896Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 2d23a15a-59e4-417c-816d-584f86e821f1 · outbound

This paper cites In: Logics in Artiﬁcial Intelligence , pp.

Optimal last-iterate convergence in matrix games with bandit feedback using the log-barrier In: Logics in Artiﬁcial Intelligence , pp

Reference 12

Resolution: verified exact; doi, observed 2026-05-10T11:00:03.644995Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 3814c4a2-7731-4008-8643-330323e9c3c4 · outbound

This paper cites Efficient computation of behavior strategies.

Optimal last-iterate convergence in matrix games with bandit feedback using the log-barrier Efficient computation of behavior strategies

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T17:23:10.829902Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation b292d8cf-d7ea-4b2d-a92d-c8262783f5e0 · outbound

This paper cites Last-iterate convergence of decentralized optimistic gradient descent/ascent in infinite-horizon competitive markov games http://proceedings.mlr.press/v134/wei21a.html.

Optimal last-iterate convergence in matrix games with bandit feedback using the log-barrier Last-iterate convergence of decentralized optimistic gradient descent/ascent in infinite-horizon competitive markov games http://proceedings.mlr.press/v134/wei21a.html

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T17:23:10.862921Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation cb94fd2e-a5a9-4d1d-9e9f-1af6a5896753 · outbound

This paper cites An optimal algorithm for stochastic and adversarial bandits http://proceedings.mlr.press/v89/zimmert19a.html.

Optimal last-iterate convergence in matrix games with bandit feedback using the log-barrier An optimal algorithm for stochastic and adversarial bandits http://proceedings.mlr.press/v89/zimmert19a.html

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T17:23:10.836196Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 5fd422aa-82cb-4c21-a55e-de689b93faf2 · outbound

This paper cites write newline.

Optimal last-iterate convergence in matrix games with bandit feedback using the log-barrier write newline

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T17:23:10.858033Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Pith citing papers

Observation d8abc8bb-34ae-4536-ae01-2fffd12ab864 · inbound

Classifying spaces for families of virtually abelian subgroups of surface braid groups cites this paper.

Classifying spaces for families of virtually abelian subgroups of surface braid groups Optimal last-iterate convergence in matrix games with bandit feedback using the log-barrier

Reference 1

Resolution: unresolved; no resolver link, observed 2026-07-12T19:45:26.097645Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5ad06483-4617-4b14-ac35-d28b8ca838ae · inbound

Near-Optimal Last-Iterate Convergence for Zero-Sum Games with Bandit Feedback and Opponent Actions cites this paper.

Near-Optimal Last-Iterate Convergence for Zero-Sum Games with Bandit Feedback and Opponent Actions Optimal last-iterate convergence in matrix games with bandit feedback using the log-barrier

Reference 236

Resolution: verified exact; local_arxiv, observed 2026-05-12T06:56:31.625974Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.