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Paper Citation Record · LEDGER

Learnable Mixed Nash Equilibria are Collectively Rational

As of 19 August 2026, this Paper Citation Record lists 67 of 67 outbound references and 0 inbound Pith citation observations for arXiv:2510.14907.

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

pith.paper-citation-record.v1
2510.14907 v2

Coverage vector

measured 67 of 67 reference resolution

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Source: paper_references, paper_reference_links, observed 2026-08-04T09:40:05.065460Z

measured 67 of 67 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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Reference resolution

67 of 67 outbound references displayed

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Outbound references

Observation e5a268f7-8d98-4b0b-918b-39dec1348f5d · outbound

This paper cites A note on strictly competitive games.

Learnable Mixed Nash Equilibria are Collectively Rational A note on strictly competitive games

Reference 1

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Observation ee53d3d4-8d05-425f-93b0-f780b9a9e434 · outbound

This paper cites Uncertainty, evolution, and economic theory.

Learnable Mixed Nash Equilibria are Collectively Rational Uncertainty, evolution, and economic theory

Reference 2

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source=arxiv_source observed=2026-08-04T09:39:58.873952Z digest=sha256:4716f1de131031c0685e1f7b9edfe23c551c77527e6d14a6ef620d20f853888f

Observation 3aeea460-c545-4447-afb5-40cfd64253b4 · outbound

This paper cites The logit-response dynamics.

Learnable Mixed Nash Equilibria are Collectively Rational The logit-response dynamics

Reference 3

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source=arxiv_source observed=2026-08-04T09:39:58.948380Z digest=sha256:f28b9ce6dd7a10cdb0b509b1d03848329799859e87ee674cf24ae7c69d72266e

Observation bfccb826-2ce0-4aa9-a5b0-0dd477627761 · outbound

This paper cites On last-iterate convergence beyond zero-sum games.

Learnable Mixed Nash Equilibria are Collectively Rational On last-iterate convergence beyond zero-sum games

Reference 4

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source=arxiv_source observed=2026-08-04T09:39:59.003598Z digest=sha256:546d64d38350e3f3b548913a1eaef57e90ba851c08ceda13573d4de7d143df05

Observation 2fb22284-db00-4aed-8fea-ec5d863abb8f · outbound

This paper cites Acceptable points in general cooperative n -person games.

Learnable Mixed Nash Equilibria are Collectively Rational Acceptable points in general cooperative n -person games

Reference 5

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source=arxiv_source observed=2026-08-04T09:39:59.049338Z digest=sha256:cc36729bccb99f7265c01510d4a4893b0bb3805a18a5d2c91a19546bb1404064

Observation beab5cf8-fdb2-4e0b-a601-69ac8e1f6d62 · outbound

This paper cites Stochastic Multiplicative Weights Updates in Zero-Sum Games.

Learnable Mixed Nash Equilibria are Collectively Rational Stochastic Multiplicative Weights Updates in Zero-Sum Games

Reference 6

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source=arxiv_source observed=2026-08-04T09:39:59.137369Z digest=sha256:1d0c0758d7229431f5b62ad14efd6199cedbbdaa3c73efe80b9b83493cd0a962

Observation 74142fee-b28b-4480-98da-0906fec0f514 · outbound

This paper cites The mechanics of n -player differentiable games.

Learnable Mixed Nash Equilibria are Collectively Rational The mechanics of n -player differentiable games

Reference 7

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source=arxiv_source observed=2026-08-04T09:39:59.226828Z digest=sha256:77f2fefb453f01a2543b86b16884e55b3c601e840f80046c51c41cf1352116ec

Observation 2a43dfe3-80e6-40a7-b560-26bc53a3c3e5 · outbound

This paper cites Mixed equilibria and dynamical systems arising from fictitious play in perturbed games.

Learnable Mixed Nash Equilibria are Collectively Rational Mixed equilibria and dynamical systems arising from fictitious play in perturbed games

Reference 8

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source=arxiv_source observed=2026-08-04T09:39:59.329193Z digest=sha256:fa61e06daf1c14d195ec9a9ec93f17e72022633ddc80144d568abb873e67c42f

Observation 21052179-723a-456d-871a-f3c4d4f622c5 · outbound

This paper cites Lyapunov Theory for Discrete Time Systems.

Learnable Mixed Nash Equilibria are Collectively Rational Lyapunov Theory for Discrete Time Systems

Reference 9

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source=arxiv_source observed=2026-08-04T09:39:59.447227Z digest=sha256:b7097dae64e75980864d80a2b5c800a19bba6fc08ffd035bde8f523fbfff3718

Observation 40ff08b7-90df-4fdc-b88d-9fa9a1c7c29b · outbound

This paper cites Zero-sum polymatrix games: A generalization of minmax.

Learnable Mixed Nash Equilibria are Collectively Rational Zero-sum polymatrix games: A generalization of minmax

Reference 10

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source=arxiv_source observed=2026-08-04T09:39:59.602484Z digest=sha256:279012708d970707de8d8ca740774b04e963ef35c51f2a92b3cc46ae2570bfa9

Observation 1f03536a-2302-4d66-b70d-ac513170d13a · outbound

This paper cites Flows and decompositions of games: H armonic and potential games.

Learnable Mixed Nash Equilibria are Collectively Rational Flows and decompositions of games: H armonic and potential games

Reference 11

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source=arxiv_source observed=2026-08-04T09:39:59.786334Z digest=sha256:d72628a088e78912814bd326915cd47fcfbbfd9d7c96ca3989b22ffae8957919

Observation 2f0e12de-5fe3-434b-b3e2-969cdb8089ac · outbound

This paper cites Learning behavior and mixed-strategy N ash equilibria.

Learnable Mixed Nash Equilibria are Collectively Rational Learning behavior and mixed-strategy N ash equilibria

Reference 12

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source=arxiv_source observed=2026-08-04T09:39:59.970891Z digest=sha256:db3adf9abc7e8e7085fca3a089dac9f8c53a2d1a9ea4147fa20479aa1c2473a1

Observation 129f7fe8-026b-45f1-97e6-e95aef6d52ee · outbound

This paper cites Last-iterate convergence: Zero-sum games and constrained min-max optimization.

Learnable Mixed Nash Equilibria are Collectively Rational Last-iterate convergence: Zero-sum games and constrained min-max optimization

Reference 13

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source=arxiv_source observed=2026-08-04T09:40:00.037955Z digest=sha256:1a145cb456994fda1aeca98a4bcde512951d87f1d7dd83fc7615a52c5db63749

Observation e438630d-13e0-4b7c-b48f-51d510610010 · outbound

This paper cites The complexity of computing a N ash equilibrium.

Learnable Mixed Nash Equilibria are Collectively Rational The complexity of computing a N ash equilibrium

Reference 14

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source=arxiv_source observed=2026-08-04T09:40:00.103155Z digest=sha256:b76f0bd5e3a3aaba6ec046476642a7f382669520e38659449e0e26a2eeb128e0

Observation 59751f16-f7ce-4905-981b-b5907396c268 · outbound

This paper cites On learning algorithms for N ash equilibria.

Learnable Mixed Nash Equilibria are Collectively Rational On learning algorithms for N ash equilibria

Reference 15

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source=arxiv_source observed=2026-08-04T09:40:00.225174Z digest=sha256:03c1c8d208f52a40e95608b81f438ac66f4698b3b01ea16e36a0cfcecd3a7553

Observation 5ca3ca7e-20b0-4fdc-8396-703d7889e07f · outbound

This paper cites Optimistic Gradient Descent Ascent in Zero-Sum and General-Sum Bilinear Games.

Learnable Mixed Nash Equilibria are Collectively Rational Optimistic Gradient Descent Ascent in Zero-Sum and General-Sum Bilinear Games

Reference 16

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source=arxiv_source observed=2026-08-04T09:40:00.344752Z digest=sha256:9ff8edb4c565301970c3956dddef4e77fca3609a110a2706be3e9bb26240d1a9

Observation e4274535-9a49-413c-ae16-8e48a3da8799 · outbound

This paper cites Theory of value: An axiomatic analysis of economic equilibrium.

Learnable Mixed Nash Equilibria are Collectively Rational Theory of value: An axiomatic analysis of economic equilibrium

Reference 17

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source=arxiv_source observed=2026-08-04T09:40:00.446217Z digest=sha256:22efe47eeaedc88291313c7330c05ded222e75f3011502d5ea8d0f987e3c0b21

Observation c04867c8-3397-43ae-bd05-6814171c2072 · outbound

This paper cites Learning purified mixed equilibria.

Learnable Mixed Nash Equilibria are Collectively Rational Learning purified mixed equilibria

Reference 18

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source=arxiv_source observed=2026-08-04T09:40:00.528083Z digest=sha256:c032207571a46c36c495bc98c5b15cd2377fc91adb31cb7ebbf730f24af59b23

Observation 95bb994c-d778-4d33-a832-5607c3a5a856 · outbound

This paper cites An optimal bound for the spectral variation of two matrices.

Learnable Mixed Nash Equilibria are Collectively Rational An optimal bound for the spectral variation of two matrices

Reference 19

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source=arxiv_source observed=2026-08-04T09:40:00.621466Z digest=sha256:a6898d591db916bc7f69268a1b4a95f69c0ef45a51996eaeaec435015fe16114

Observation 6dee16a0-c412-43ca-8749-4eb237e94d5f · outbound

This paper cites The methodology of positive economics.

Learnable Mixed Nash Equilibria are Collectively Rational The methodology of positive economics

Reference 20

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source=arxiv_source observed=2026-08-04T09:40:00.722077Z digest=sha256:0809bcc54a508894256f5372bb319a28824f49524d94252c2a79b3ce8ed4cef7

Observation ae86e90d-908a-4ac2-8962-5902609074ad · outbound

This paper cites Learning mixed equilibria.

Learnable Mixed Nash Equilibria are Collectively Rational Learning mixed equilibria

Reference 21

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source=arxiv_source observed=2026-08-04T09:40:00.843992Z digest=sha256:d1240b64f480a9310d080f2ab47f08f0e5ddb5eb579b4e3b1121cfe54c99979f

Observation 6e5c84fa-70d8-41ad-b919-d2942b763306 · outbound

This paper cites The theory of learning in games, volume 2.

Learnable Mixed Nash Equilibria are Collectively Rational The theory of learning in games, volume 2

Reference 22

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source=arxiv_source observed=2026-08-04T09:40:00.930402Z digest=sha256:72168f50f339988c47f952895d8a6ccc80108756acd847d29caa7f977e642566

Observation 328de3d5-ae90-4381-8d6c-abf92c8132e6 · outbound

This paper cites Survival of the strictest: Stable and unstable equilibria under regularized learning with partial information.

Learnable Mixed Nash Equilibria are Collectively Rational Survival of the strictest: Stable and unstable equilibria under regularized learning with partial information

Reference 23

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source=arxiv_source observed=2026-08-04T09:40:01.049781Z digest=sha256:1d383ba040399aec912736fcb1d17efe88d96a768edefef99c316697ab0f3319

Observation ceccc459-7fa7-42dc-95b0-089feded34e6 · outbound

This paper cites First-order algorithm with convergence for-equilibrium in two-person zero-sum games.

Learnable Mixed Nash Equilibria are Collectively Rational First-order algorithm with convergence for-equilibrium in two-person zero-sum games

Reference 24

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source=arxiv_source observed=2026-08-04T09:40:01.132196Z digest=sha256:73e8ad63361394f021d9f84419d6b0f0156c5440680597a838ba6a84fe429973

Observation 0e90043b-251b-4b3b-b0d6-8e62e14c1f31 · outbound

This paper cites The rate of convergence of continuous fictitious play.

Learnable Mixed Nash Equilibria are Collectively Rational The rate of convergence of continuous fictitious play

Reference 25

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source=arxiv_source observed=2026-08-04T09:40:01.194838Z digest=sha256:951b826538daaca28e231a9d3a5c6a257a8a6976ce31f9190e3a25f301d16309

Observation 8e51a809-956d-41b3-8f3c-f67a73281cef · outbound

This paper cites Quantal response equilibrium: A stochastic theory of games.

Learnable Mixed Nash Equilibria are Collectively Rational Quantal response equilibrium: A stochastic theory of games

Reference 26

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source=arxiv_source observed=2026-08-04T09:40:01.365271Z digest=sha256:9380554b4f9e28e2d25481a8285fe9100d6b4fe04ccdaa0ad5cf537a09bec9a7

Observation 6ca4622d-6362-4b3f-8f37-30533eb4f6f9 · outbound

This paper cites The tragedy of the commons.

Learnable Mixed Nash Equilibria are Collectively Rational The tragedy of the commons

Reference 27

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source=arxiv_source observed=2026-08-04T09:40:01.434825Z digest=sha256:7352001e56915d6cb36ee036519e8648ccb8880d2e4e93386d256de5c3804ceb

Observation 31e03726-9a6d-43e3-b569-bba13ef5e981 · outbound

This paper cites Games with randomly disturbed payoffs: A new rationale for mixed-strategy equilibrium points.

Learnable Mixed Nash Equilibria are Collectively Rational Games with randomly disturbed payoffs: A new rationale for mixed-strategy equilibrium points

Reference 28

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source=arxiv_source observed=2026-08-04T09:40:01.584971Z digest=sha256:c587c8b4a9ca07a5bb646464713db5b3338095e8562e04f8d5c95197d746cd10

Observation 40f324c8-bd3b-4238-898e-022d8319cae0 · outbound

This paper cites A general theory of equilibrium selection in games.

Learnable Mixed Nash Equilibria are Collectively Rational A general theory of equilibrium selection in games

Reference 29

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source=arxiv_source observed=2026-08-04T09:40:01.694839Z digest=sha256:69d77be6ba280d9465b2be9f0a067d784b2bb06bdfc974a3ff840a1bd4ee79ef

Observation 4893a62c-a3a3-405e-948c-2d1f89a01c25 · outbound

This paper cites Uncoupled dynamics do not lead to N ash equilibrium.

Learnable Mixed Nash Equilibria are Collectively Rational Uncoupled dynamics do not lead to N ash equilibrium

Reference 30

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source=arxiv_source observed=2026-08-04T09:40:01.810997Z digest=sha256:ee8067bd461b80725ff36f22462113803444ffd5f8b529b9d28a00a6df851c2e

Observation 71474c9d-c296-45f6-bd07-7dc0122b2f4b · outbound

This paper cites Evolutionary games and population dynamics.

Learnable Mixed Nash Equilibria are Collectively Rational Evolutionary games and population dynamics

Reference 31

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source=arxiv_source observed=2026-08-04T09:40:01.918914Z digest=sha256:c2abefc208e6cf778004a2b2fec1dd2f07fd97f415ae66bfb50e76700ba79798

Observation d51c5db5-62e9-472e-b9fc-6e8407547050 · outbound

This paper cites Best response dynamics for continuous zero-sum games.

Learnable Mixed Nash Equilibria are Collectively Rational Best response dynamics for continuous zero-sum games

Reference 32

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source=arxiv_source observed=2026-08-04T09:40:02.046401Z digest=sha256:c9144fe4319f65d24c2d042071f7c44a0f8b10f9a633107965e75477926d4765

Observation b0b048cb-4448-47db-b38a-c65bddd44ed7 · outbound

This paper cites A note on best response dynamics.

Learnable Mixed Nash Equilibria are Collectively Rational A note on best response dynamics

Reference 33

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source=arxiv_source observed=2026-08-04T09:40:02.204826Z digest=sha256:a9e29680b850847b5bf46f2b5468c6fde47a2374f5ad70889e95dbb5fe238cd5

Observation 229c6fdd-9a02-4195-b58f-ad1916f9bc4a · outbound

This paper cites Matrix analysis.

Learnable Mixed Nash Equilibria are Collectively Rational Matrix analysis

Reference 34

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source=arxiv_source observed=2026-08-04T09:40:02.321878Z digest=sha256:e2dbacda2d8a002d879ad277131c747aa88f0eb11cc3980011146fad4a08ac26

Observation 3ac3129b-685f-4be5-801c-c77474e0c12a · outbound

This paper cites Differential games: a mathematical theory with applications to warfare and pursuit, control and optimization.

Learnable Mixed Nash Equilibria are Collectively Rational Differential games: a mathematical theory with applications to warfare and pursuit, control and optimization

Reference 35

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source=arxiv_source observed=2026-08-04T09:40:02.402334Z digest=sha256:f25eab4776aacf16652d451917fa4c704a8bebc5a95258fe38bfe927b352ba9b

Observation c7096d69-08fe-4bbc-9a38-916a502f54b1 · outbound

This paper cites Three problems in learning mixed-strategy N ash equilibria.

Learnable Mixed Nash Equilibria are Collectively Rational Three problems in learning mixed-strategy N ash equilibria

Reference 36

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source=arxiv_source observed=2026-08-04T09:40:02.494825Z digest=sha256:152807e67cf7136230c35009cc1e2a74b7dd79ea167718f40dfc6d6605625593

Observation 92cd30ba-1a4f-4142-a0b5-fa377d02ff25 · outbound

This paper cites Graphical games.

Learnable Mixed Nash Equilibria are Collectively Rational Graphical games

Reference 37

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source=arxiv_source observed=2026-08-04T09:40:02.587750Z digest=sha256:92b35b0780886263b032862b1a25b9dd5456a5d4ee7dff38b5ee3ccb6ccfc5e8

Observation 936c8f48-89fb-4892-8a7d-ac80de6bb7a7 · outbound

This paper cites Beyond the N ash equilibrium barrier.

Learnable Mixed Nash Equilibria are Collectively Rational Beyond the N ash equilibrium barrier

Reference 38

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source=arxiv_source observed=2026-08-04T09:40:02.663688Z digest=sha256:64adf73be56809bcd3506fe83d1a884f7dd8ce0ec60eb2edb2d3c815b10dd774

Observation 05136ac6-e283-4f4e-a9fd-176db1c3b814 · outbound

This paper cites Worst-case equilibria.

Learnable Mixed Nash Equilibria are Collectively Rational Worst-case equilibria

Reference 39

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source=arxiv_source observed=2026-08-04T09:40:02.724012Z digest=sha256:c5a3d8011963b46cb44e96ee91885476bdbc4fe120efc8483d6479e6691b5520

Observation 6b68cc3f-425e-4319-b4d5-6179c6ed875d · outbound

This paper cites On the convergence of fictitious play.

Learnable Mixed Nash Equilibria are Collectively Rational On the convergence of fictitious play

Reference 40

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source=arxiv_source observed=2026-08-04T09:40:02.768886Z digest=sha256:702bbd54be145fffd53a52a9570a6dd7d3d52e8313e75c471e79adb148303a99

Observation d9060ef9-5e11-43b1-8c78-803b0e30a743 · outbound

This paper cites Linear algebra and its applications.

Learnable Mixed Nash Equilibria are Collectively Rational Linear algebra and its applications

Reference 41

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source=arxiv_source observed=2026-08-04T09:40:02.815022Z digest=sha256:b5b8c7ebfe4bf246d4376dfe54ae297edc4c45ca96e4e9eba8120537192ae41c

Observation 42f31337-fa73-463c-a934-7fdea501d1c7 · outbound

This paper cites Differentiable game mechanics.

Learnable Mixed Nash Equilibria are Collectively Rational Differentiable game mechanics

Reference 42

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source=arxiv_source observed=2026-08-04T09:40:02.870076Z digest=sha256:6c0883a2a1c9587b99542c974e87b2aa6e32ef729c50510616f3dbb31ee04c48

Observation 358a905d-9595-4635-a7a0-bcffc406101c · outbound

This paper cites Games and decisions: Introduction and critical survey.

Learnable Mixed Nash Equilibria are Collectively Rational Games and decisions: Introduction and critical survey

Reference 43

Resolution
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source=arxiv_source observed=2026-08-04T09:40:02.921868Z digest=sha256:a2bca72219be789129235a8204a97f4d271bbdcc5edbb1933d8087ec8cde6775

Observation 7941c368-cc78-4116-bb29-54e4db1b4563 · outbound

This paper cites Quantal response equilibria for normal form games.

Learnable Mixed Nash Equilibria are Collectively Rational Quantal response equilibria for normal form games

Reference 44

Resolution
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source=arxiv_source observed=2026-08-04T09:40:02.971025Z digest=sha256:42af1153124b2f0a579e85502c6a8973671ff24fe99fded5845d0bbc6a31feb7

Observation a95ad905-aec3-4e4a-93fe-b7b18b20a147 · outbound

This paper cites Learning in games via reinforcement and regularization.

Learnable Mixed Nash Equilibria are Collectively Rational Learning in games via reinforcement and regularization

Reference 45

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source=arxiv_source observed=2026-08-04T09:40:03.045014Z digest=sha256:f6e5ce66ee717faf5b3d40b66b25fd46780a76906842a1b909dc972249ef220e

Observation caf3f1e0-4965-4801-9ddb-a65c4e0eae14 · outbound

This paper cites Cycles in adversarial regularized learning.

Learnable Mixed Nash Equilibria are Collectively Rational Cycles in adversarial regularized learning

Reference 46

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source=arxiv_source observed=2026-08-04T09:40:03.105347Z digest=sha256:0b4c51ecc024548e30579d5a02f261f86a4f534478021eeeb3fd4c10680175fc

Observation 8b46d933-3e90-484f-b051-c7d48b783f75 · outbound

This paper cites An impossibility theorem in game dynamics.

Learnable Mixed Nash Equilibria are Collectively Rational An impossibility theorem in game dynamics

Reference 47

Resolution
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source=arxiv_source observed=2026-08-04T09:40:03.175226Z digest=sha256:65a5aebc0b8e04f075497cb1814137ef48abd7b81b224c26f6455f9dd73ece07

Observation 9721b5e3-72ae-45d1-8bff-53196c779aa4 · outbound

This paper cites Potential games.

Learnable Mixed Nash Equilibria are Collectively Rational Potential games

Reference 48

Resolution
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source=arxiv_source observed=2026-08-04T09:40:03.327773Z digest=sha256:67fef75a231dfbfe00502508367ed555b6c78472cfb54f40b5a9be5980bafb11

Observation a9f35966-8e02-4d2e-bb0b-d51b5ca292ab · outbound

This paper cites Strategically zero-sum games: the class of games whose completely mixed equilibria cannot be improved upon.

Learnable Mixed Nash Equilibria are Collectively Rational Strategically zero-sum games: the class of games whose completely mixed equilibria cannot be improved upon

Reference 49

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source=arxiv_source observed=2026-08-04T09:40:03.434813Z digest=sha256:b26c2b3abfcb3be60c0ef8d83d97b3d3789170f57a2026c3a12dc118adf7980c

Observation 806933b3-f5e6-4e07-9841-19d491d0c1b4 · outbound

This paper cites E volutionary.

Learnable Mixed Nash Equilibria are Collectively Rational E volutionary

Reference 50

Resolution
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source=arxiv_source observed=2026-08-04T09:40:03.524740Z digest=sha256:b86df97f069c9a2d58941f2022237e9075c87a2492ee9757e44773670b7e7da8

Observation 13605aaa-c783-4b9c-bbee-ff2c654966a9 · outbound

This paper cites Non-cooperative games.

Learnable Mixed Nash Equilibria are Collectively Rational Non-cooperative games

Reference 51

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source=arxiv_source observed=2026-08-04T09:40:03.587545Z digest=sha256:12cb30fde1486ae15fee55b36e4cede8f28a240d2014acb748489c0197ae0435

Observation d8a9e29a-99cd-4dce-a6ad-7750c4dc3e0a · outbound

This paper cites Payoff Performance of Fictitious Play.

Learnable Mixed Nash Equilibria are Collectively Rational Payoff Performance of Fictitious Play

Reference 52

Resolution
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source=arxiv_source observed=2026-08-04T09:40:03.624301Z digest=sha256:033be51de09b286699581dad7591753886e2a0ed9de9ff8cc4beee1c8ecef2fb

Observation bbfbc987-d8a8-43c0-8d50-9055bee3a6af · outbound

This paper cites Towards a taxonomy of learning dynamics in 2 2 games.

Learnable Mixed Nash Equilibria are Collectively Rational Towards a taxonomy of learning dynamics in 2 2 games

Reference 53

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source=arxiv_source observed=2026-08-04T09:40:03.706629Z digest=sha256:ad3d4f913430f729c50b7bf2bd313567c7330e813c45c60aa1535d2cf794dd8e

Observation b5775b27-d87e-4fd6-9c70-ead023c3f25e · outbound

This paper cites The complexity of finding N ash equilibria.

Learnable Mixed Nash Equilibria are Collectively Rational The complexity of finding N ash equilibria

Reference 54

Resolution
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source=arxiv_source observed=2026-08-04T09:40:03.775229Z digest=sha256:42129d43fbd9d4bb31532f23b4cc9c09c752e2e7e81fb2d67225333d8a2b5ab7

Observation 54342486-b13e-4479-8e88-b0f00e4b3d17 · outbound

This paper cites Fast convergence of optimistic gradient ascent in network zero-sum extensive form games.

Learnable Mixed Nash Equilibria are Collectively Rational Fast convergence of optimistic gradient ascent in network zero-sum extensive form games

Reference 55

Resolution
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source=arxiv_source observed=2026-08-04T09:40:03.847113Z digest=sha256:e338f7a022775a6ecb7fbb058d9ce645084e8e95bdf3773ce610304f22461edd

Observation 1c44dd39-ae7f-4df2-8527-8e60dd138ace · outbound

This paper cites An iterative method of solving a game.

Learnable Mixed Nash Equilibria are Collectively Rational An iterative method of solving a game

Reference 56

Resolution
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source=arxiv_source observed=2026-08-04T09:40:03.927934Z digest=sha256:bfcc8b587f451eaf3c3c8a5144905d8be13886e83171aab36e4ffbf21ea6be43

Observation 75728fa7-331b-41ee-a16b-c8e3f575c0f5 · outbound

This paper cites Convex analysis, volume 28.

Learnable Mixed Nash Equilibria are Collectively Rational Convex analysis, volume 28

Reference 57

Resolution
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source=arxiv_source observed=2026-08-04T09:40:04.004739Z digest=sha256:f3a258e675f70e655678203e6a1b3a22197192dfbf2a0734cc88d4acd1b03b0f

Observation 9f191d4f-aca9-44b0-9b60-8d6716753972 · outbound

This paper cites Evolutionary stability in asymmetric games.

Learnable Mixed Nash Equilibria are Collectively Rational Evolutionary stability in asymmetric games

Reference 58

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source=arxiv_source observed=2026-08-04T09:40:04.104756Z digest=sha256:ef0e4c3700a20b91eb4ef4f106ba5054655d4ca04ac2c70f3460b63dd8a76946

Observation d25c8187-d01b-405c-8461-2c07f54ab9f1 · outbound

This paper cites Some topics in two-person games.

Learnable Mixed Nash Equilibria are Collectively Rational Some topics in two-person games

Reference 59

Resolution
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source=arxiv_source observed=2026-08-04T09:40:04.198253Z digest=sha256:b5f34b8a8c32632ac4ead6e2375bba1275fddb74ea08a9966122778f85abe24d

Observation 0e6c2356-33a5-4999-95b4-2a973f0a014b · outbound

This paper cites Nash convergence of gradient dynamics in general-sum games.

Learnable Mixed Nash Equilibria are Collectively Rational Nash convergence of gradient dynamics in general-sum games

Reference 60

Resolution
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source=arxiv_source observed=2026-08-04T09:40:04.327241Z digest=sha256:7e7c088e79b4a3f5c9fe8d768420df9fc950c1141d77811dafa5668491dd910f

Observation 1a72fd0f-d738-4dec-aa74-b05086e55a77 · outbound

This paper cites An inquiry into the nature and causes of the wealth of nations.

Learnable Mixed Nash Equilibria are Collectively Rational An inquiry into the nature and causes of the wealth of nations

Reference 61

Resolution
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source=arxiv_source observed=2026-08-04T09:40:04.426015Z digest=sha256:f21194b3a40996f884dbdadbec17ebf396f2f11c156a15ad8925e78b719fe5b0

Observation 0b49a76a-0395-4610-b301-192345f81c49 · outbound

This paper cites On the instability of mixed-strategy N ash equilibria.

Learnable Mixed Nash Equilibria are Collectively Rational On the instability of mixed-strategy N ash equilibria

Reference 62

Resolution
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source=arxiv_source observed=2026-08-04T09:40:04.518464Z digest=sha256:91e6af3c1ec2daafcd05a63bda740e4e14c66431e76e69d83697163ca197adb6

Observation 6376adbc-2686-4e44-85ae-d6d6e1eb45d7 · outbound

This paper cites Refinements of N ash equilibrium.

Learnable Mixed Nash Equilibria are Collectively Rational Refinements of N ash equilibrium

Reference 63

Resolution
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source=arxiv_source observed=2026-08-04T09:40:04.599631Z digest=sha256:371444895250549751bed2992ecd472271bcbe46272204b1c1b06d795ca73664

Observation fca09901-8a00-431b-a05d-ff810da942f7 · outbound

This paper cites No-regret learning and mixed N ash equilibria: They do not mix.

Learnable Mixed Nash Equilibria are Collectively Rational No-regret learning and mixed N ash equilibria: They do not mix

Reference 64

Resolution
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source=arxiv_source observed=2026-08-04T09:40:04.721890Z digest=sha256:81ac379d60b934becef59599bc0c75e0c37076002a3373b2e7aa5c572d684fbb

Observation 636139c1-d6bf-4ac8-9716-adb59426e13a · outbound

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

Learnable Mixed Nash Equilibria are Collectively Rational Linear last-iterate convergence in constrained saddle-point optimization

Reference 65

Resolution
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source=arxiv_source observed=2026-08-04T09:40:04.837326Z digest=sha256:46d711cb51ec6f5f6e66d09cbd092f369e209eebab33e5eab2a73d5d4a9c455f

Observation 5d6ef4b3-efd5-4213-bbf0-8bc499aa3795 · outbound

This paper cites The ‘as if’ approach to game theory: Three positive results and four obstacles.

Learnable Mixed Nash Equilibria are Collectively Rational The ‘as if’ approach to game theory: Three positive results and four obstacles

Reference 66

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source=arxiv_source observed=2026-08-04T09:40:04.958162Z digest=sha256:5f26b87f6e29371575a076cc3416d0f9b5c1fa1be12279afb7575ec741344b0b

Observation 68102dbe-fab4-4c30-9aae-6559fe0c19a1 · outbound

This paper cites Satisficing, selection, and the innovating remnant.

Learnable Mixed Nash Equilibria are Collectively Rational Satisficing, selection, and the innovating remnant

Reference 67

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source=arxiv_source observed=2026-08-04T09:40:05.065460Z digest=sha256:7d105e697a1201b763e685ba4bf0849c06b4ee764bee8bd0ff37853dd9bc171b

Pith citing papers

No inbound Pith citation observations are available.