Pith. sign in

Paper Citation Record · LEDGER

Do Not Discretize, Optimize: Almost Greedy Fictitious Play

As of 9 August 2026, this Paper Citation Record lists 17 of 17 outbound references and 0 inbound Pith citation observations for arXiv:2606.12149.

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

pith.paper-citation-record.v1
2606.12149 v1

Coverage vector

measured 17 of 17 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-27T07:50:44.299416Z

measured 17 of 17 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

17 of 17 outbound references displayed

  • verified exact3
  • verified fuzzy0
  • unresolved13
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b9952279-d5b6-4c3e-a21f-887ed53584ac · outbound

This paper cites Fast convergence of fictitious play for diagonal payoff matrices.

Do Not Discretize, Optimize: Almost Greedy Fictitious Play Fast convergence of fictitious play for diagonal payoff matrices

Reference 1

Resolution
unresolved
no resolver link, observed 2026-06-27T07:50:44.299416Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T07:50:44.299416Z digest=sha256:8cf50e31ff6577d494581632ce007759d71889862e1a919419dae53541450cdb

Observation a231ef36-d34e-4f30-ad26-20633b789816 · outbound

This paper cites Convergence oflog(1/ϵ)for gradient-based algorithms in zero-sum games without the condition number: A smoothed analysis.

Do Not Discretize, Optimize: Almost Greedy Fictitious Play Convergence oflog(1/ϵ)for gradient-based algorithms in zero-sum games without the condition number: A smoothed analysis

Reference 2

Resolution
unresolved
no resolver link, observed 2026-06-27T07:50:44.299416Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T07:50:44.299416Z digest=sha256:78c7d2218ac5d9b4e85ae2164b8b96944480f4d2b36e5a76f4a9fd52ab56f986

Observation 923b3216-09f2-48f4-9a9a-b94455ac5185 · outbound

This paper cites (doubly) exponential lower bounds for follow the regularized leader in potential games.arXiv preprint arXiv:2601.23248,.

Do Not Discretize, Optimize: Almost Greedy Fictitious Play (doubly) exponential lower bounds for follow the regularized leader in potential games.arXiv preprint arXiv:2601.23248,

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-07-03T13:38:18.553623Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-27T07:50:44.299416Z digest=sha256:9f6dc1de67caedb7784d152c705bce272c21ddf450682d538ffd35d19f7b992f

Observation 98732a3b-8fe5-4833-978b-e5edfb4d3891 · outbound

This paper cites Fictitious play and best-response dynamics in identical interest and zero-sum stochastic games.

Do Not Discretize, Optimize: Almost Greedy Fictitious Play Fictitious play and best-response dynamics in identical interest and zero-sum stochastic games

Reference 4

Resolution
unresolved
no resolver link, observed 2026-06-27T07:50:44.299416Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T07:50:44.299416Z digest=sha256:a311d88809932c54b606696411f7c3c0c0ac8de5e9899d39d7b51a376dda8729

Observation 60c7b2d6-843b-4466-b8de-afbd3182d8b8 · outbound

This paper cites On the convergence of fictitious play: A decomposition approach.

Do Not Discretize, Optimize: Almost Greedy Fictitious Play On the convergence of fictitious play: A decomposition approach

Reference 5

Resolution
unresolved
no resolver link, observed 2026-06-27T07:50:44.299416Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T07:50:44.299416Z digest=sha256:96db3e8a15659758e222449385b1b64e77b20d60b725dd8d240d2de6755e43b3

Observation 1e6b10d5-43c9-471f-95ac-9e1e5dc0c2a1 · outbound

This paper cites Anticipatory fictitious play.

Do Not Discretize, Optimize: Almost Greedy Fictitious Play Anticipatory fictitious play

Reference 6

Resolution
unresolved
no resolver link, observed 2026-06-27T07:50:44.299416Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T07:50:44.299416Z digest=sha256:892ea16a36559b310af0c087884d14aea161c0844b79d4ef40b8815da6be7607

Observation f01a9f28-8632-42c3-a230-3df37f8943e6 · outbound

This paper cites A descent-based method on the duality gap for solving zero-sum games.

Do Not Discretize, Optimize: Almost Greedy Fictitious Play A descent-based method on the duality gap for solving zero-sum games

Reference 7

Resolution
unresolved
no resolver link, observed 2026-06-27T07:50:44.299416Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T07:50:44.299416Z digest=sha256:fdd5304493842b67c85ea7223bb9cc77eefc24cccc3d524d22264e2d11cbddbc

Observation 12f1a1bf-275a-4118-874a-b40df08dafb6 · outbound

This paper cites Frank-wolfe algorithms for saddle point problems.

Do Not Discretize, Optimize: Almost Greedy Fictitious Play Frank-wolfe algorithms for saddle point problems

Reference 8

Resolution
unresolved
no resolver link, observed 2026-06-27T07:50:44.299416Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T07:50:44.299416Z digest=sha256:27e92a04248e85dd9919c3756e766621d18ce36bc6fc2aa98730ca05455c88a6

Observation 6214cf18-645a-41f0-a698-2d57e438296c · outbound

This paper cites Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron C.

Do Not Discretize, Optimize: Almost Greedy Fictitious Play Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron C

Reference 9

Resolution
unresolved
no resolver link, observed 2026-06-27T07:50:44.299416Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T07:50:44.299416Z digest=sha256:86d3e504f8b57e96f1f828f283a26e2a1b164aa08367c9fbd348a8334a04cafb

Observation 3e9b9c8b-4a20-440d-af9d-6e946907c3e7 · outbound

This paper cites Optimism without regu- larization: Constant regret in zero-sum games.

Do Not Discretize, Optimize: Almost Greedy Fictitious Play Optimism without regu- larization: Constant regret in zero-sum games

Reference 10

Resolution
unresolved
no resolver link, observed 2026-06-27T07:50:44.299416Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T07:50:44.299416Z digest=sha256:7351d75325a7c6a26cdf032e2381aa6cf688098eae4425a24e2136fe8064821d

Observation 3476b344-203d-4f16-a0f6-8d5296832a86 · outbound

This paper cites Fictitious play property for games with identical interests.

Do Not Discretize, Optimize: Almost Greedy Fictitious Play Fictitious play property for games with identical interests

Reference 11

Resolution
unresolved
no resolver link, observed 2026-06-27T07:50:44.299416Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T07:50:44.299416Z digest=sha256:9e718c06259633dce2f7abe992bf7c383d92b5020f3bf3570c357cfb7e1445fb

Observation 1bcbb45e-d6d1-453f-a932-25067ab6d31b · outbound

This paper cites doi: 10.3934/jdg.2014.1.621.

Do Not Discretize, Optimize: Almost Greedy Fictitious Play doi: 10.3934/jdg.2014.1.621

Reference 12

Resolution
verified exact
doi, observed 2026-06-28T11:12:01.669324Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-27T07:50:44.299416Z digest=sha256:69cd86c79e3e4ebf5a3ab224b24f7c52590aa32914cd4f8573015e87082aca71

Observation 4e0d4456-83d6-4013-83e6-7cdbd72f7683 · outbound

This paper cites Fictitious play in zero-sum stochastic games.SIAM Journal on Control and Optimization, 60(4):2095–2114,.

Do Not Discretize, Optimize: Almost Greedy Fictitious Play Fictitious play in zero-sum stochastic games.SIAM Journal on Control and Optimization, 60(4):2095–2114,

Reference 13

Resolution
unresolved
no resolver link, observed 2026-06-27T07:50:44.299416Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T07:50:44.299416Z digest=sha256:6f82bbb4a600a4523051e1a495b9bf98418cc433729fc9f4a89daf23b123ebda

Observation 84a8c50d-f9ac-4dd0-b9c0-df51389ed512 · outbound

This paper cites Tie-breaking Agnostic Lower Bound for Fictitious Play.

Do Not Discretize, Optimize: Almost Greedy Fictitious Play Tie-breaking Agnostic Lower Bound for Fictitious Play

Reference 14

Resolution
metadata mismatch
arxiv_id, observed 2026-07-03T13:38:18.554270Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-27T07:50:44.299416Z digest=sha256:85647df06552978354ddf0257d5fc448d763efece14c3f510ce4e637af70854e

Observation 6261206b-042f-40be-add0-aa328ce52e82 · outbound

This paper cites Linear last-iterate conver- gence in constrained saddle-point optimization.

Do Not Discretize, Optimize: Almost Greedy Fictitious Play Linear last-iterate conver- gence in constrained saddle-point optimization

Reference 15

Resolution
unresolved
no resolver link, observed 2026-06-27T07:50:44.299416Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T07:50:44.299416Z digest=sha256:138528c6f8a93b6d69f65de4a2f21273fc4575a4602d6cb049930ec09d180881

Observation 7ffc8502-34fb-41ae-a8eb-af540dc75423 · outbound

This paper cites Game-Theoretic Multiagent Reinforcement Learning.

Do Not Discretize, Optimize: Almost Greedy Fictitious Play Game-Theoretic Multiagent Reinforcement Learning

Reference 16

Resolution
verified exact
arxiv_id, observed 2026-07-03T13:38:18.551458Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-27T07:50:44.299416Z digest=sha256:05a0b580bf72c230d96f367d52943ba9fa076364623bda6d0cbf6309fcfbdfdd

Observation dd7baec3-c0ac-4f79-8bc9-939dd6601754 · outbound

This paper cites Mean field multi-agent reinforcement learning.

Do Not Discretize, Optimize: Almost Greedy Fictitious Play Mean field multi-agent reinforcement learning

Reference 17

Resolution
unresolved
no resolver link, observed 2026-06-27T07:50:44.299416Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T07:50:44.299416Z digest=sha256:2817b19b9976aa03cea598b813e3c52c98b289ebf084a88372d6bc7e1ba7d460

Pith citing papers

No inbound Pith citation observations are available.