Paper Citation Record · LEDGER

Approximating Nash Equilibria in General-Sum Games via Meta-Learning

As of 19 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 0 inbound Pith citation observations for arXiv:2504.18868.

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

pith.paper-citation-record.v1
2504.18868 v1

Coverage vector

measured 38 of 38 reference resolution

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Pith citing papers itemized under the disclosed page cap.

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Reference resolution

38 of 38 outbound references displayed

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External citation measurements

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Outbound references

Observation 506e2415-0e60-4a5e-b288-cf408176b0b7 · outbound

This paper cites Princeton University Press, Princeton, 1–28.

Approximating Nash Equilibria in General-Sum Games via Meta-Learning Princeton University Press, Princeton, 1–28

Reference 1

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Approximating Nash Equilibria in General-Sum Games via Meta-Learning Unresolved cited work

Reference 7

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This paper cites Advances in Neural Information Processing Systems 36 (2024).

Approximating Nash Equilibria in General-Sum Games via Meta-Learning Advances in Neural Information Processing Systems 36 (2024)

Reference 22

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This paper cites https://proceedings.neurips.cc/paper_files/paper/2014/file/ 5ca3e9b122f61f8f06494c97b1afccf3-Paper.pdf James Hannan.

Approximating Nash Equilibria in General-Sum Games via Meta-Learning https://proceedings.neurips.cc/paper_files/paper/2014/file/ 5ca3e9b122f61f8f06494c97b1afccf3-Paper.pdf James Hannan

Reference 27

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This paper cites Science Advances 9, 46 (2023), eadg3256.

Approximating Nash Equilibria in General-Sum Games via Meta-Learning Science Advances 9, 46 (2023), eadg3256

Reference 30

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This paper cites Proceedings of the AAAI Conference on Artificial Intelligence 38, 14 (Mar.

Approximating Nash Equilibria in General-Sum Games via Meta-Learning Proceedings of the AAAI Conference on Artificial Intelligence 38, 14 (Mar

Reference 32

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This paper cites https://proceedings.neurips.cc/paper_files/paper/ 2023/file/c209cd57e13f3344a4cad4ce84d0ee1b-Paper-Conference.pdf Gabriele Farina, Christian Kroer, and Tuomas Sandholm.

Approximating Nash Equilibria in General-Sum Games via Meta-Learning https://proceedings.neurips.cc/paper_files/paper/ 2023/file/c209cd57e13f3344a4cad4ce84d0ee1b-Paper-Conference.pdf Gabriele Farina, Christian Kroer, and Tuomas Sandholm

Reference 36

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This paper cites https://proceedings.neurips.cc/paper_files/paper/2009/ file/e0ec453e28e061cc58ac43f91dc2f3f0-Paper.pdf Naifeng Zhang, Stephen McAleer, and Tuomas Sandholm.

Approximating Nash Equilibria in General-Sum Games via Meta-Learning https://proceedings.neurips.cc/paper_files/paper/2009/ file/e0ec453e28e061cc58ac43f91dc2f3f0-Paper.pdf Naifeng Zhang, Stephen McAleer, and Tuomas Sandholm

Reference 37

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This paper cites arXiv:2404.09097 [cs.GT] Martin Zinkevich.

Approximating Nash Equilibria in General-Sum Games via Meta-Learning arXiv:2404.09097 [cs.GT] Martin Zinkevich

Reference 38

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This paper cites Pacific J.

Approximating Nash Equilibria in General-Sum Games via Meta-Learning Pacific J

Reference 1956

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This paper cites Contributions to the Theory of Games 3 (1957), 97–139.

Approximating Nash Equilibria in General-Sum Games via Meta-Learning Contributions to the Theory of Games 3 (1957), 97–139

Reference 1957

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This paper cites IBM Journal of Research and Development 4, 1 (1960), 66–82.

Approximating Nash Equilibria in General-Sum Games via Meta-Learning IBM Journal of Research and Development 4, 1 (1960), 66–82

Reference 1960

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This paper cites The Journal of Finance 16, 1 (1961), 8–37.

Approximating Nash Equilibria in General-Sum Games via Meta-Learning The Journal of Finance 16, 1 (1961), 8–37

Reference 1961

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Approximating Nash Equilibria in General-Sum Games via Meta-Learning Unresolved cited work

Reference 1964

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Approximating Nash Equilibria in General-Sum Games via Meta-Learning Unresolved cited work

Reference 1973

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This paper cites International Journal of Game Theory 7 (9 1975), 201–221.

Approximating Nash Equilibria in General-Sum Games via Meta-Learning International Journal of Game Theory 7 (9 1975), 201–221

Reference 1975

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This paper cites Econometrica 50, 5 (1982), 1089–1122.

Approximating Nash Equilibria in General-Sum Games via Meta-Learning Econometrica 50, 5 (1982), 1089–1122

Reference 1982

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This paper cites Wiley, Hoboken, 111 River St, United States.

Approximating Nash Equilibria in General-Sum Games via Meta-Learning Wiley, Hoboken, 111 River St, United States

Reference 1984

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This paper cites Games and Economic Behavior 1, 1 (1989), 80–93.

Approximating Nash Equilibria in General-Sum Games via Meta-Learning Games and Economic Behavior 1, 1 (1989), 80–93

Reference 1989

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Approximating Nash Equilibria in General-Sum Games via Meta-Learning Unresolved cited work

Reference 1994

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This paper cites Games and economic behavior 14, 1 (1996), 124–143.

Approximating Nash Equilibria in General-Sum Games via Meta-Learning Games and economic behavior 14, 1 (1996), 124–143

Reference 1996

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This paper cites Econometrica 68, 5 (2000), 1127–1150.

Approximating Nash Equilibria in General-Sum Games via Meta-Learning Econometrica 68, 5 (2000), 1127–1150

Reference 2000

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This paper cites Decision Support Systems 39, 1 (2005), 55–66.

Approximating Nash Equilibria in General-Sum Games via Meta-Learning Decision Support Systems 39, 1 (2005), 55–66

Reference 2005

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This paper cites In Proceedings of the 8th ACM Conference on Electronic Commerce(San Diego, California, USA) (EC ’07).

Approximating Nash Equilibria in General-Sum Games via Meta-Learning In Proceedings of the 8th ACM Conference on Electronic Commerce(San Diego, California, USA) (EC ’07)

Reference 2007

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This paper cites An experimental analysis of Lemke-Howson algorithm.

Approximating Nash Equilibria in General-Sum Games via Meta-Learning An experimental analysis of Lemke-Howson algorithm

Reference 2008

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This paper cites Theoretical Computer Science 410, 17 (2009), 1599–1606.

Approximating Nash Equilibria in General-Sum Games via Meta-Learning Theoretical Computer Science 410, 17 (2009), 1599–1606

Reference 2009

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This paper cites Theoretical Computer Science 411, 1 (2010), 164–173.

Approximating Nash Equilibria in General-Sum Games via Meta-Learning Theoretical Computer Science 411, 1 (2010), 164–173

Reference 2010

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This paper cites Proceedings of the Annual ACM-SIAM Symposium on Discrete Algorithms , 217–234.

Approximating Nash Equilibria in General-Sum Games via Meta-Learning Proceedings of the Annual ACM-SIAM Symposium on Discrete Algorithms , 217–234

Reference 2011

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This paper cites Combining local search techniques and path following for bimatrix games.

Approximating Nash Equilibria in General-Sum Games via Meta-Learning Combining local search techniques and path following for bimatrix games

Reference 2012

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This paper cites Solving Large Imperfect Information Games Using CFR+.

Approximating Nash Equilibria in General-Sum Games via Meta-Learning Solving Large Imperfect Information Games Using CFR+

Reference 2014

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Approximating Nash Equilibria in General-Sum Games via Meta-Learning Science 347, 6218 (2015), 145–149

Reference 2015

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This paper cites Science 356, 6337 (2017), 508–513.

Approximating Nash Equilibria in General-Sum Games via Meta-Learning Science 356, 6337 (2017), 508–513

Reference 2017

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Approximating Nash Equilibria in General-Sum Games via Meta-Learning Science 359, 6374 (2018), 418–424

Reference 2018

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This paper cites Advances in Neural Information Processing Systems 33 (2020), 17057–17069.

Approximating Nash Equilibria in General-Sum Games via Meta-Learning Advances in Neural Information Processing Systems 33 (2020), 17057–17069

Reference 2020

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This paper cites Proceedings of the AAAI Conference on Artificial Intelligence 35, 6 (May 2021), 5363–5371.

Approximating Nash Equilibria in General-Sum Games via Meta-Learning Proceedings of the AAAI Conference on Artificial Intelligence 35, 6 (May 2021), 5363–5371

Reference 2021

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This paper cites Artificial Intelligence 303 (2022), 103645.

Approximating Nash Equilibria in General-Sum Games via Meta-Learning Artificial Intelligence 303 (2022), 103645

Reference 2022

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Approximating Nash Equilibria in General-Sum Games via Meta-Learning ACM Trans

Reference 2023

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This paper cites Computer Science Review 51 (2024), 100613.

Approximating Nash Equilibria in General-Sum Games via Meta-Learning Computer Science Review 51 (2024), 100613

Reference 2024

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