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Paper Citation Record · LEDGER

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

As of 17 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

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T10:13:59.789695Z

measured 38 of 38 standing notices

One-hop event checks from named stored sources.

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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

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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Observation 9ea831b5-4b0d-4b6d-9f82-606fb1bb0a9c · outbound

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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Observation c40b677b-8489-486e-88b8-3002691a076e · outbound

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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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Observation a2e4e923-eada-4ea9-98d4-c24e830124f6 · outbound

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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Observation 48ca09ca-86bb-4d02-9faa-8a8cc49a2bc9 · outbound

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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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Observation 55a3ac5b-06be-4b48-b7e5-01cdefaf2373 · outbound

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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This paper cites Science 347, 6218 (2015), 145–149.

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

Reference 2015

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Observation 88ad8561-5614-46b8-80fa-49fe9125f52b · outbound

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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Observation 8bacd3a9-d9cb-478e-aa7b-e6c3a1ba8224 · outbound

This paper cites Science 359, 6374 (2018), 418–424.

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

Reference 2018

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Observation db439df9-7d9d-4776-91d5-7d2afd090ed8 · outbound

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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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 71dd30bd-8722-4f01-a34c-1c239363580d · outbound

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

Resolution
verified exact
doi, observed 2026-08-16T10:13:59.906135Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-16T10:13:59.688143Z digest=sha256:83d38320703d4abcae6c963118505bca7bc621d5d9dc976a780ce47dd08c98dd

Observation 76347437-ddd7-4f4b-b92d-7e5d8ad7ae3c · outbound

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:14:00.437882Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-16T10:13:59.715934Z digest=sha256:60e90c084348a150023eecf44cbffc4f54072297ae6db0f1943f6ff1b4413e62

Observation 2a501833-88f9-4365-bc6e-cd2fcfeaa7ca · outbound

This paper cites ACM Trans.

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

Reference 2023

Resolution
verified exact
doi, observed 2026-08-16T10:13:59.916766Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-16T10:13:59.681143Z digest=sha256:a80fe05cc182d3cfb324640b0d5a0fd62d7ad86ae20dbb306ec4ce309e22403f

Observation 1bf7be6e-8572-4ace-b8fb-4c08f6b9ffa7 · outbound

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

Resolution
unresolved
no resolver link, observed 2026-08-16T10:13:59.723031Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T10:13:59.723031Z digest=sha256:00cbe8d9eddb16f050910b66aeb8d6076bde3dd9ca90321ebb7f50c13dd9eb5d

Pith citing papers

No inbound Pith citation observations are available.