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Paper Citation Record · LEDGER

Asymmetric Perturbation in Solving Bilinear Saddle-Point Optimization

As of 8 August 2026, this Paper Citation Record lists 51 of 51 outbound references and 0 inbound Pith citation observations for arXiv:2506.05747.

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

pith.paper-citation-record.v1
2506.05747 v4

Coverage vector

measured 51 of 51 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T10:31:55.668102Z

measured 51 of 51 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+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

51 of 51 outbound references displayed

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  • verified fuzzy41
  • unresolved8
  • parse uncertain0
  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 7a948c95-66bf-440c-bb8a-8f36b1171356 · outbound

This paper cites Mutation-driven follow the regularized leader for last-iterate convergence in zero-sum games.

Asymmetric Perturbation in Solving Bilinear Saddle-Point Optimization Mutation-driven follow the regularized leader for last-iterate convergence in zero-sum games

Reference 1

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T10:31:55.287526Z digest=sha256:542517d52f3c976414580d58bb50eb0fc0892c521601ddef40b9b1862aa1757c

Observation 86898c64-ba97-4637-8c06-f5b971ba1145 · outbound

This paper cites Last-iterate convergence with full and noisy feedback in two-player zero-sum games.

Asymmetric Perturbation in Solving Bilinear Saddle-Point Optimization Last-iterate convergence with full and noisy feedback in two-player zero-sum games

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:31:57.847709Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T10:31:55.294955Z digest=sha256:22da0fc39f3b203307c083a76f78b17911fbe2f74c380262d86cc6b40ee1ac2e

Observation b6a0695b-ab76-47e8-a977-65f1573ee092 · outbound

This paper cites Adaptively perturbed mirror descent for learning in games.

Asymmetric Perturbation in Solving Bilinear Saddle-Point Optimization Adaptively perturbed mirror descent for learning in games

Reference 3

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 5cc5d6c1-70da-457e-891b-62c3f8129e75 · outbound

This paper cites Multiplicative weights update in zero-sum games.

Asymmetric Perturbation in Solving Bilinear Saddle-Point Optimization Multiplicative weights update in zero-sum games

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:31:57.798370Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T10:31:55.314447Z digest=sha256:76cf742938b6783302088cccd7c85b52d8fbfd6f9e8251ddf94cfb203d63b572

Observation 8c7aa2d7-35fa-47ff-885f-e4d8a7d80321 · outbound

This paper cites Last-iterate Convergence to Trembling-hand Perfect Equilibria.

Asymmetric Perturbation in Solving Bilinear Saddle-Point Optimization Last-iterate Convergence to Trembling-hand Perfect Equilibria

Reference 5

Resolution
verified exact
local_arxiv, observed 2026-08-07T10:31:55.870526Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T10:31:55.320351Z digest=sha256:a74e17c1e5573b3bb210675ed149cad327d89322617ee0a735edd2d0a53b8296

Observation af6b9539-669f-4377-80e8-c907950d9708 · outbound

This paper cites Convex optimization.

Asymmetric Perturbation in Solving Bilinear Saddle-Point Optimization Convex optimization

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-07T10:31:55.326646Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T10:31:55.326646Z digest=sha256:49126cabe60b6cff724527488e14de73d49db7b0159d94bb27d7aa431224aabd

Observation 7e6a2691-b949-4f91-88b8-8e3dc6d9b258 · outbound

This paper cites Solving imperfect-information games via discounted regret minimization.

Asymmetric Perturbation in Solving Bilinear Saddle-Point Optimization Solving imperfect-information games via discounted regret minimization

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:31:57.752853Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T10:31:55.333615Z digest=sha256:ac2718d9d064b000c53f7cbaecb695810b65ea52d3688479e4879e20ef8562b4

Observation 229a700a-a163-4159-ac57-7d2178639568 · outbound

This paper cites Uncoupled and convergent learning in two-player zero-sum markov games with bandit feedback.

Asymmetric Perturbation in Solving Bilinear Saddle-Point Optimization Uncoupled and convergent learning in two-player zero-sum markov games with bandit feedback

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:31:57.726968Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T10:31:55.341211Z digest=sha256:d3ed37f7b309b5d737c90f602bde3212f1d952a0f1138d18a758ebf700c557d7

Observation 7e41603b-506e-47b2-a9d0-461fd910157e · outbound

This paper cites Fast policy extragradient methods for competitive games with entropy regularization.

Asymmetric Perturbation in Solving Bilinear Saddle-Point Optimization Fast policy extragradient methods for competitive games with entropy regularization

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:31:57.692137Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T10:31:55.348461Z digest=sha256:c4fde12a72e03b6ba639c0046bcad996e462e15e3f54c3ac781a2001c440cbc7

Observation fa4cadaa-cba8-4b4d-99c1-145d76b49919 · outbound

This paper cites Faster last-iterate convergence of policy optimization in zero-sum Markov games.

Asymmetric Perturbation in Solving Bilinear Saddle-Point Optimization Faster last-iterate convergence of policy optimization in zero-sum Markov games

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:31:57.668404Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T10:31:55.358767Z digest=sha256:61118064b67fd3dd14665630e5848cc5dcf1f0265a70537c89636e30f21dbc57

Observation 58561e92-7968-43f3-9376-5e5e3cd12e95 · outbound

This paper cites Vortices instead of equilibria in minmax optimization: Chaos and butterfly effects of online learning in zero-sum games.

Asymmetric Perturbation in Solving Bilinear Saddle-Point Optimization Vortices instead of equilibria in minmax optimization: Chaos and butterfly effects of online learning in zero-sum games

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:31:57.641981Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T10:31:55.364957Z digest=sha256:279a5305688716ceb701ac043f2a3500a5c03cde1a76e93067cbd66422965b30

Observation f4d12f58-c914-4820-a412-2ce3aade41a4 · outbound

This paper cites Penalty-regulated dynamics and robust learning procedures in games.

Asymmetric Perturbation in Solving Bilinear Saddle-Point Optimization Penalty-regulated dynamics and robust learning procedures in games

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:31:57.614825Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T10:31:55.372430Z digest=sha256:118901216badfabded6ab4f4b7c30534f698195c462d6233899f0b5f0fcdb367

Observation 4e944b21-c2ae-4892-b1ec-6c23f771eed6 · outbound

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

Asymmetric Perturbation in Solving Bilinear Saddle-Point Optimization Last-iterate convergence: Zero-sum games and constrained min-max optimization

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:31:57.589620Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T10:31:55.378360Z digest=sha256:d9cc32688d9c69d840daf1fc158b87f3cd77af6206b6c2925a47bb3b4490b759

Observation 6ec2cd2f-f9f3-4ec7-811e-5d34892a7582 · outbound

This paper cites Training GANs with optimism.

Asymmetric Perturbation in Solving Bilinear Saddle-Point Optimization Training GANs with optimism

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:31:57.559121Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T10:31:55.387418Z digest=sha256:692a57b555035a02325876af8a8d54cf1dbcb171b7dd20f3ebf1e4b42a40fd15

Observation 674c6118-7ed3-4655-b6fb-d40c02b0d5bb · outbound

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

Asymmetric Perturbation in Solving Bilinear Saddle-Point Optimization Optimistic Gradient Descent Ascent in Zero-Sum and General-Sum Bilinear Games

Reference 15

Resolution
verified exact
local_arxiv, observed 2026-08-07T10:31:55.810381Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T10:31:55.394359Z digest=sha256:6cdafb58eb0aa20d4338b3815b2727f8e5345f1e14e6544793dc553a7e33f385

Observation 5b3f8831-bed6-4877-b1ce-6f81e4154478 · outbound

This paper cites Finite-dimensional variational inequalities and complementarity problems.

Asymmetric Perturbation in Solving Bilinear Saddle-Point Optimization Finite-dimensional variational inequalities and complementarity problems

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-07T10:31:55.404632Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T10:31:55.404632Z digest=sha256:13b30103d6b3d2a5a116c2efd60699173e4da94002babba3790be0156e2f0985

Observation 31a6c961-d972-43d7-ad8e-57292a9e70c1 · outbound

This paper cites A variational inequality perspective on generative adversarial networks.

Asymmetric Perturbation in Solving Bilinear Saddle-Point Optimization A variational inequality perspective on generative adversarial networks

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:31:57.503710Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T10:31:55.411656Z digest=sha256:c195784d101c04b218581fb238ad160276ca7829b01160756da63f85d36748b7

Observation 38834489-7a34-467a-86cf-f169c6e97dff · outbound

This paper cites Last iterate is slower than averaged iterate in smooth convex-concave saddle point problems.

Asymmetric Perturbation in Solving Bilinear Saddle-Point Optimization Last iterate is slower than averaged iterate in smooth convex-concave saddle point problems

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:31:57.472933Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T10:31:55.418443Z digest=sha256:0a76a28dd9bc275800b7ab476cfdfd3b4ad296f7bde49dede79e6b1e159c0d07

Observation 55fdca66-45c4-43bc-a416-2cc69707f8d0 · outbound

This paper cites Asymptotic convergence and performance of multi-agent q-learning dynamics.

Asymmetric Perturbation in Solving Bilinear Saddle-Point Optimization Asymptotic convergence and performance of multi-agent q-learning dynamics

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:31:57.441830Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T10:31:55.425605Z digest=sha256:1c6e257bc91d39483601eaaf4969a3a0355d19a58341d5215e9b609692e45964

Observation 527205b1-45c4-44c9-b61b-9ee3e54b9fc8 · outbound

This paper cites Single timescale regularized stochastic approximation schemes for monotone nash games under uncertainty.

Asymmetric Perturbation in Solving Bilinear Saddle-Point Optimization Single timescale regularized stochastic approximation schemes for monotone nash games under uncertainty

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:31:57.418820Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T10:31:55.433637Z digest=sha256:1a359a24a05a722ec9cf2a3f316a83932ba50f3e1942b7d8f84335f227864dd5

Observation 5445cf2f-2728-427d-b05b-5f2a5bf1cdd0 · outbound

This paper cites Shanbhag.

Asymmetric Perturbation in Solving Bilinear Saddle-Point Optimization Shanbhag

Reference 21

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T10:31:55.442460Z digest=sha256:67f5c490f2c422b1e62fb00f28a58678779974853a5b72a2b58151e899f8e87f

Observation 851bbab0-8609-48b0-9a34-a96f48510395 · outbound

This paper cites OpenSpiel: A Framework for Reinforcement Learning in Games.

Asymmetric Perturbation in Solving Bilinear Saddle-Point Optimization OpenSpiel: A Framework for Reinforcement Learning in Games

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-07T10:31:55.452998Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T10:31:55.452998Z digest=sha256:f49383b4285c5a8c529cf80c21935768b89322d6ccf6fa6c1b5ef1bd860051ce

Observation b8c54ef7-5f82-4f28-9515-d83d1674e51e · outbound

This paper cites Last-iterate convergence in extensive-form games.

Asymmetric Perturbation in Solving Bilinear Saddle-Point Optimization Last-iterate convergence in extensive-form games

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:31:57.250284Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T10:31:55.463024Z digest=sha256:656f63abe222f3b50681fbb0238ad5d0b78317afb5d696430f43effa2fe5d3e1

Observation 3bc9f20f-700a-4726-a2b3-42476caf9ce7 · outbound

This paper cites Fundamental benefit of alternating updates in minimax optimization.

Asymmetric Perturbation in Solving Bilinear Saddle-Point Optimization Fundamental benefit of alternating updates in minimax optimization

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:31:57.067552Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T10:31:55.468846Z digest=sha256:7284160dd7c2a0e332758767f9a0b2827602cb451bbcff67e2f0c888adb62a8d

Observation cc6f59c2-1fcc-403e-ad30-ad6cf0c08325 · outbound

This paper cites Last iterate convergence in no-regret learning: constrained min-max optimization for convex-concave landscapes.

Asymmetric Perturbation in Solving Bilinear Saddle-Point Optimization Last iterate convergence in no-regret learning: constrained min-max optimization for convex-concave landscapes

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:31:56.877055Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T10:31:55.474604Z digest=sha256:8cf6376e1eb0fe66cd52bf1d8ae1ea5b62a4f8f36fc23d73421f5e74ddf5aac6

Observation 08d95b5c-bed0-4aac-a1df-d0d7db52140d · outbound

This paper cites Last iterate convergence in no-regret learning: constrained min-max optimization for convex-concave landscapes.

Asymmetric Perturbation in Solving Bilinear Saddle-Point Optimization Last iterate convergence in no-regret learning: constrained min-max optimization for convex-concave landscapes

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:31:56.689829Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T10:31:55.480984Z digest=sha256:08491cc90bca6a0e1f30968ebb883b77c5085f7129e758209762b6f02f32fef7

Observation 6221bcce-dbf7-49af-9a44-8c6ba99843e9 · outbound

This paper cites Individual q-learning in normal form games.

Asymmetric Perturbation in Solving Bilinear Saddle-Point Optimization Individual q-learning in normal form games

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:31:56.591709Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T10:31:55.487281Z digest=sha256:1da3f99d793818575d7479e0051e39c810a9e7ed3d3b4be4ebcc08775bff0e52

Observation 887f65b5-f547-41c2-bd77-214aebec5796 · outbound

This paper cites Interaction matters: A note on non-asymptotic local convergence of generative adversarial networks.

Asymmetric Perturbation in Solving Bilinear Saddle-Point Optimization Interaction matters: A note on non-asymptotic local convergence of generative adversarial networks

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:31:56.551132Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T10:31:55.492861Z digest=sha256:cc5a6acbdcf1a72fc219b3389b92aa6a6851514cfbd0e273ebf7ed4b1bc6680c

Observation d03536da-1658-476d-9cb0-5276977f5372 · outbound

This paper cites The power of regularization in solving extensive-form games.

Asymmetric Perturbation in Solving Bilinear Saddle-Point Optimization The power of regularization in solving extensive-form games

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:31:56.514282Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T10:31:55.497217Z digest=sha256:8eb8d8090757ac0dbda83b5661e7d5f4d35ed66b72b9cd7b338b27cd8097c5c9

Observation 8b423509-7d89-487d-bee7-6dc9d12b3052 · outbound

This paper cites Learning in games with continuous action sets and unknown payoff functions.

Asymmetric Perturbation in Solving Bilinear Saddle-Point Optimization Learning in games with continuous action sets and unknown payoff functions

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-07T10:31:55.504019Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T10:31:55.504019Z digest=sha256:866538b984ff8fb45eeb454ef3d42e754951471252b1dd114c4293725a75b86a

Observation 9e19ee7e-16ae-4a9f-819e-03b8ed3640ce · outbound

This paper cites Cycles in adversarial regularized learning.

Asymmetric Perturbation in Solving Bilinear Saddle-Point Optimization Cycles in adversarial regularized learning

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:31:56.464172Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T10:31:55.509625Z digest=sha256:87e939773356adbcc8d7549f0d4f18520f71aa4b0217a931e1ae6d1f61908c34

Observation fd90de04-cc1a-41fb-b5f4-e21c7a593332 · outbound

This paper cites Optimistic mirror descent in saddle-point problems: Going the extra (gradient) mile.

Asymmetric Perturbation in Solving Bilinear Saddle-Point Optimization Optimistic mirror descent in saddle-point problems: Going the extra (gradient) mile

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:31:56.421039Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T10:31:55.517039Z digest=sha256:4416fa41cf04183971661c4b926add8b6f39a2a49907d4b90ba7a78063034b6d

Observation 42bdaf51-2835-47f4-b73f-0be155f9ddd0 · outbound

This paper cites A unified analysis of extra-gradient and optimistic gradient methods for saddle point problems: Proximal point approach.

Asymmetric Perturbation in Solving Bilinear Saddle-Point Optimization A unified analysis of extra-gradient and optimistic gradient methods for saddle point problems: Proximal point approach

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:31:56.386150Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T10:31:55.525113Z digest=sha256:bcf9debfb060a863cee9a8ddd7ca0ed38866e3c8f985a3f03d74a73f5f051a26

Observation 1fa853f3-72d3-4ac1-a53b-8d0019c592fe · outbound

This paper cites Nash learning from human feedback.

Asymmetric Perturbation in Solving Bilinear Saddle-Point Optimization Nash learning from human feedback

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:31:56.358341Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T10:31:55.531090Z digest=sha256:1022f66e25cace75b9846aedee378cba4e061137e5d8bfcbdb271d7d8dde2d24

Observation 44e77c58-1cc7-4b8b-ae6f-16bb12390bd3 · outbound

This paper cites Symmetric (optimistic) natural policy gradient for multi-agent learning with parameter convergence.

Asymmetric Perturbation in Solving Bilinear Saddle-Point Optimization Symmetric (optimistic) natural policy gradient for multi-agent learning with parameter convergence

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:31:56.326950Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T10:31:55.540387Z digest=sha256:454c5443ee39d0a3291b96e43a1c9dea067e588997e853efe8fd5711185e6e05

Observation a4622a34-92f6-4b58-be94-a2db279f98f1 · outbound

This paper cites From Poincar \'e recurrence to convergence in imperfect information games: Finding equilibrium via regularization.

Asymmetric Perturbation in Solving Bilinear Saddle-Point Optimization From Poincar \'e recurrence to convergence in imperfect information games: Finding equilibrium via regularization

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:31:56.299101Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T10:31:55.545106Z digest=sha256:7013139089709f3a70474b5255b41efe07cfbe3ee4f31202c358d83ed1479b0a

Observation 6363a9c7-c280-45f2-95fe-af7df28099a7 · outbound

This paper cites Connor, Neil Burch, Thomas Anthony, Stephen McAleer, Romuald Elie, Sarah H.

Asymmetric Perturbation in Solving Bilinear Saddle-Point Optimization Connor, Neil Burch, Thomas Anthony, Stephen McAleer, Romuald Elie, Sarah H

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:31:56.268573Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T10:31:55.550583Z digest=sha256:18ada47ca08652d4b114d03337c5f1e665b4579f8647e9f4ba34113ee4153970

Observation 0f81599e-6e95-410e-b70b-72b23419cd7c · outbound

This paper cites Online learning with predictable sequences.

Asymmetric Perturbation in Solving Bilinear Saddle-Point Optimization Online learning with predictable sequences

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:31:56.237276Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T10:31:55.558353Z digest=sha256:c7a609064795c93595f3b240052848fed4674eee318e1ee627d6b6c4329aff05

Observation 739d5064-f0ae-4304-a0e0-c8b6bfa7c6eb · outbound

This paper cites Optimization, learning, and games with predictable sequences.

Asymmetric Perturbation in Solving Bilinear Saddle-Point Optimization Optimization, learning, and games with predictable sequences

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:31:56.206820Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T10:31:55.565989Z digest=sha256:bd5a66ac5a82c803373b5ab87f93b9c0364f5a219308a1d9fa8f17eb35dcdcc3

Observation 2bcead3c-07e4-4caf-9391-00712f205e55 · outbound

This paper cites Variational analysis, volume 317.

Asymmetric Perturbation in Solving Bilinear Saddle-Point Optimization Variational analysis, volume 317

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-07T10:31:55.573399Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T10:31:55.573399Z digest=sha256:9dc72eb19a91bb75aa0ee12b2ab943cae83af5d5e97ff6074c20b851cce85670

Observation 8e17a0ff-89a3-4e13-979b-952553ca25eb · outbound

This paper cites Online learning and online convex optimization.

Asymmetric Perturbation in Solving Bilinear Saddle-Point Optimization Online learning and online convex optimization

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:31:56.160921Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T10:31:55.580790Z digest=sha256:b27cbd20ea41aefd057cf2fbfce6994cd245c06028f5e14aace7a219af706bb4

Observation 6cfca072-3ef6-408f-aea6-00a963ac752c · outbound

This paper cites A unified approach to reinforcement learning, quantal response equilibria, and two-player zero-sum games.

Asymmetric Perturbation in Solving Bilinear Saddle-Point Optimization A unified approach to reinforcement learning, quantal response equilibria, and two-player zero-sum games

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:31:56.132321Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T10:31:55.590402Z digest=sha256:82936a08c387921eb12f0d663eb10857e1a7d04dce322e887943c776d6d4d5cc

Observation c1df6346-ef77-4fcb-937a-639bb5c2b14a · outbound

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

Asymmetric Perturbation in Solving Bilinear Saddle-Point Optimization Solving Large Imperfect Information Games Using CFR+

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-07T10:31:55.596519Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T10:31:55.596519Z digest=sha256:a4bfdbf2b22ecdf77edfefed9b17a6994dee430e51b455e0d5c3bdb1e42c20be

Observation 77d83346-2187-4c3e-b98a-8e40bcc47440 · outbound

This paper cites Learning Nash equilibria in monotone games.

Asymmetric Perturbation in Solving Bilinear Saddle-Point Optimization Learning Nash equilibria in monotone games

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:31:56.103892Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T10:31:55.604208Z digest=sha256:0dea1cc4cc588ae80d25ec62e83e1f918f41f1e3e13e662209f18c4c4dfa9c02

Observation fc033ac1-43f5-4977-9252-d40d58aabf29 · outbound

This paper cites An evolutionary dynamical analysis of multi-agent learning in iterated games.

Asymmetric Perturbation in Solving Bilinear Saddle-Point Optimization An evolutionary dynamical analysis of multi-agent learning in iterated games

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:31:56.061071Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T10:31:55.614828Z digest=sha256:dbcbc02e86bb88f4c739dfe2b6f811ccf88558bdbe74baec27ee8c76faf86950

Observation 7faa1f8f-080e-4c92-9dcd-077130bd3df7 · outbound

This paper cites an unresolved cited work.

Asymmetric Perturbation in Solving Bilinear Saddle-Point Optimization Unresolved cited work

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-07T10:31:55.620250Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T10:31:55.620250Z digest=sha256:9e63451dcb7aeb18a64bc63d2df5dafcdcec7178c0763d0598c3a6db8153702f

Observation d69cf9f1-d59e-46f0-a999-774d99c85ae4 · outbound

This paper cites Efficient computation of behavior strategies.

Asymmetric Perturbation in Solving Bilinear Saddle-Point Optimization Efficient computation of behavior strategies

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-07T10:31:55.626589Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T10:31:55.626589Z digest=sha256:368a93e29bd5de1881917f1aa802702b5d7b8cf5c120b08e9384ca7a91afa349

Observation 061db23e-45f6-4129-b479-789cefa79779 · outbound

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

Asymmetric Perturbation in Solving Bilinear Saddle-Point Optimization Linear last-iterate convergence in constrained saddle-point optimization

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:31:55.980042Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T10:31:55.636246Z digest=sha256:5437e589370eb63460bbd44b0645393bbd25741f3a876e6b6d741ae79d13a21c

Observation b0083e7e-6248-4608-8031-56ef5db248a7 · outbound

This paper cites On smoothing, regularization, and averaging in stochastic approximation methods for stochastic variational inequality problems.

Asymmetric Perturbation in Solving Bilinear Saddle-Point Optimization On smoothing, regularization, and averaging in stochastic approximation methods for stochastic variational inequality problems

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:31:55.949027Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T10:31:55.648330Z digest=sha256:9c593f8e126d6ffff48ba1c20ab310aec8df207b63989bf75a5b11c1dd140b66

Observation 9fe9fc4c-0f5f-4f88-bf90-48d804613c20 · outbound

This paper cites Near-optimal local convergence of alternating gradient descent-ascent for minimax optimization.

Asymmetric Perturbation in Solving Bilinear Saddle-Point Optimization Near-optimal local convergence of alternating gradient descent-ascent for minimax optimization

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:31:55.921021Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T10:31:55.662586Z digest=sha256:df006ab06f9911ea7ac212d8ef02dea821f0ac7852429f06c8e368ac4455b636

Observation 08bf693a-b292-4ab9-9759-ce62a5418de7 · outbound

This paper cites Regret minimization in games with incomplete information.

Asymmetric Perturbation in Solving Bilinear Saddle-Point Optimization Regret minimization in games with incomplete information

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:31:55.890864Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T10:31:55.668102Z digest=sha256:96d383ee66ab270a91317a40723f8219faa353cca973b222364edb08931ce10c

Pith citing papers

No inbound Pith citation observations are available.