Pith. sign in

Paper Citation Record · LEDGER

Do Not Discretize, Optimize: Almost Greedy Fictitious Play

As of 7 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 2026-08-07T06:34:17.273281+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=sha256:86b356d57c8454ef7144f04a7379581d2ed6d2d7381715635ec3a86c8498f89c

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=sha256:996763aa038ca4df23a92b745305240810f4ee5e2da71570ccb87db055ca0413

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-27T07:50:44.299416Z digest=sha256:64f2299f64a06aa8ee026b529d42fc016f55140a2753ecda01f15a7de88d9fc4

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:ca78bd3829910d69ac2ef9e5aad1a76c5d10b22a118f74894becb79cf7070099

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=sha256:62577b19c4962bf8a3410e367624f9984eeadd315a3ade53d9bd5279c55e5f35

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=sha256:09d08dd692d1e97ce7f1e37666a60710f71da40b5cf26c59e4a962617cd30b9c

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:b0142ee4e5308fa6334ebb77490ed971688b0b5376ec5d7ced955792dda6a9ec

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=sha256:107960ea2cdcc640d2ce5d0c26196a6ce6c930e15d6db416b853344d4a04f753

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=sha256:9130f36a84d9a2e85ced5e724c6973bce6230374d638929eca1f78bd0f1ceae4

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=sha256:2ce96b1bf92f941c07544e820a478713b56d7e5926da53ac4cd748c5e3724ed6

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:b6aab84405de360ddb52229b33356c76b85fc7b60c068ac692d2e5abb7e6760a

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-27T07:50:44.299416Z digest=sha256:7d7d86db8a744b3e738e13d9c704ea19345068db4b78c29fdfeb229e72f6a9cb

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=sha256:201dc8255554a24f026956c97fa3362418127c224952837fcf4f8ee495944a93

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-27T07:50:44.299416Z digest=sha256:ef535fa630ccd91f8dd12a92637a5d6f4a9ba6b826119c241b1ef5f11ea876c2

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:c7ed9a445980c66372fa1a97db74eb2b1177244796e8e95907e9a61715d33cc6

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-27T07:50:44.299416Z digest=sha256:b594e1ad0264f0e6a6af4a383337e632150ebb647dc6d08198d4be03aa7ff94e

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:cf0da59c1cae0b184a844a013dc869c1c5f8ca356d979fe4b4a312fca38fd6ff

Pith citing papers

No inbound Pith citation observations are available.