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Paper Citation Record · LEDGER

Asymmetric Perturbation in Solving Bilinear Saddle-Point Optimization

As of 10 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 2026-08-10T06:31:04.303077+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

  • verified exact2
  • 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
raw_fallback, observed 2026-08-07T10:31:57.868047Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-07T10:31:55.287526Z digest=sha256:b70051dd89d03c572412b1c01f791e0baa4a354a3a8fd1210a0ef44ac22d7b9f

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-07T10:31:55.294955Z digest=sha256:64a53e635f433fd90a537e4e4988d8932b95e1dc93508ba83b373401566871e8

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
raw_fallback, observed 2026-08-07T10:31:57.826879Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-07T10:31:55.306394Z digest=sha256:5c43a119c6746555788529a6ab92661a85a8d9ab52d71b64000396a02803abb6

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-07T10:31:55.314447Z digest=sha256:9f919b4e82709d852a61aec7d4d29c03ff7b91ce96809216e004303d99b812c9

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-07T10:31:55.320351Z digest=sha256:b4c377d90052a41a9e444c95fe82871ddf454edddd46860208f7ee58ad006053

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=sha256:5dcdbff863a3cf83d913de70928b82d56630dc58038c462789d6cc54d487ded3

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-07T10:31:55.333615Z digest=sha256:ed2034dff404de04fae81195f42bfe9dd10a6174787816fd4886dd69493006e6

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-07T10:31:55.341211Z digest=sha256:f9aaff17661f6ff921e4ce4d100ede2d3e5f8d224f3d4bf9034e706e52e40498

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-07T10:31:55.348461Z digest=sha256:1e51e2b6ac52b21296be3899350ed4db19b924c5b04f0e9cd46977385e3d6864

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-07T10:31:55.358767Z digest=sha256:c5004be5f7cfda6e78894bd7f85de21d92d25367a2cbdcad4063c403530b6d1d

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-07T10:31:55.364957Z digest=sha256:6da9e4abf9fd684d1ff4a955b2fd4e2edc9d2f75e9841052b62165e0d01dd954

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-07T10:31:55.372430Z digest=sha256:06593a4ea074bece63bf48627c819d55f85f1215bccb39a001f8177b59370761

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-07T10:31:55.378360Z digest=sha256:3d324e9a6e839c51d97bd9bff06e1baf33c735d37bf85a8a031f1050c725007d

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-07T10:31:55.387418Z digest=sha256:331114149c0ddd7785e2e0caca3ba2eb29272d0ce6e00ec1a5ed79d135121809

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-07T10:31:55.394359Z digest=sha256:774fc739fdf83310cf530adb50176ec73188af19260bbf124218fd9a5c09a2e7

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=sha256:2db0444866db87cf0df6e5eaecda368ee21a6f9eeafeb417aa195741315844fd

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-07T10:31:55.411656Z digest=sha256:da037f35b107d77148a6217f76d5324f4f91b9a82e9a8939ee52e6d6675c9d31

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-07T10:31:55.418443Z digest=sha256:6ace810bae3760b9ae4fc03d09fd9bd9f7f31458cc4550a5669d0d31baf6e60e

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-07T10:31:55.425605Z digest=sha256:1454bac61c533891035078437c63cc71acbed0868a3b6cdc9c1f54e13af3aef7

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-07T10:31:55.433637Z digest=sha256:856b233b7af3e33f012907a811667580d2a36af6c869d090759c2d2d4a8ebc78

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
raw_fallback, observed 2026-08-07T10:31:57.396128Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-07T10:31:55.442460Z digest=sha256:f3be1984e40390b3605ec0b8fdbc0770c8589a031fd805b7a2394a181859aab6

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=sha256:0e3f1ba5c5280f2eb6e6d695ad8216ebc6c33e670820e03a67ed909753171bfe

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-07T10:31:55.463024Z digest=sha256:63278bd9301c3df3ab8a1b01e8b953f4a7556c20a527d1bf8c746941f6541e3b

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-07T10:31:55.468846Z digest=sha256:49dfb4d9704da7a27d66856471ea4b2bd8042e6720a0733bc0d6d49d93f1f11d

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-07T10:31:55.474604Z digest=sha256:1a484efdf7ca710909c6a0d7139ee3e5e78e47ce7047f35328a25972d0425d4c

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-07T10:31:55.480984Z digest=sha256:a0dd98c2afebb5ee972fec64815335133280d6d129648f4ce31248cf97d4a82c

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-07T10:31:55.487281Z digest=sha256:a8623dbe99ac9ccde642f25237868bf7f474f47eb2deb025f2efebf25d818f8e

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-07T10:31:55.492861Z digest=sha256:202f4dbfdb42087043784c71080ead989a10bb47730d4921392dc49234747146

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-07T10:31:55.497217Z digest=sha256:330898b67801b4c55b34c7288c4a1a127ce6757eea856c333b238b721c0dd41e

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=sha256:8480d1048fa15112e65c1854133e5afa48be56bcb5b267bad0d0f6c16c5e42bf

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-07T10:31:55.509625Z digest=sha256:d0cd651c0be05a0df58fdf58b8ea10f956a2194a9d3fdadac416de4a1bda97d7

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-07T10:31:55.517039Z digest=sha256:9dea977a20afad5a4624227bfc68c6a214de7bbce039581342e611fd23733e29

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-07T10:31:55.525113Z digest=sha256:26da9c3eaf4810f384bbeadbf905a5d51f6c8935effebd2a6fa78008c5c702f1

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-07T10:31:55.531090Z digest=sha256:7139cb8adf41b2b442a8625c61f9331e51d392b6107d8516210607dfc18589b0

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-07T10:31:55.540387Z digest=sha256:57fe9063eb99a6d66fe793ec4cc7c1d715b678734c98cc88b8c4f74d48613576

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-07T10:31:55.545106Z digest=sha256:8a36959aca3d821d2f91c35465857646e5ae6a98bab1b712776c5d1f76317133

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-07T10:31:55.550583Z digest=sha256:7a1a529864c81b87041f009cc5972878bb5c8b688291c7bacb4ba71b79cf6a1a

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-07T10:31:55.558353Z digest=sha256:6ef94732389d312f9b09045f4dd3bd5b5722058c807e2a875f607d3ef1fba985

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-07T10:31:55.565989Z digest=sha256:7564cad1154cd3783b2a43a2ee7e5dc3e63012cf26fda35f19d3e202c7e2726a

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=sha256:9f0469e3074f5edf42808b99b90649f85dbab3ae654c0d16dd1a0e2f0904a081

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-07T10:31:55.580790Z digest=sha256:ab5141b0a2d4fd9b65daecc01a0cf0d859614548d84e777f1b444ea41988a180

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-07T10:31:55.590402Z digest=sha256:72723cf2de9c3f925c6a6e3e614d524241c32ecbe8b96476d4827feef0882060

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=sha256:54c6f11c2b34bdde732055b725fa8434d32b3b7ca5ff88adc2ff11ad5f4ffbcc

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-07T10:31:55.604208Z digest=sha256:11368f362a7d9f9cc53eb52e8707be04429d498b8292b1137867f25e4963cb96

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-07T10:31:55.614828Z digest=sha256:f74cfd6f84b12ee36977194be8d5c6facc160656f02d74f576c3a1d05fb11e59

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=sha256:283c1df3e0aff278159a7f82237a35de6fa757e0334757c09c2d78b41639c7b4

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:cb3703c50dc09251451771fe73b5583bb677d9c5e572bd7da3deea8f9a7d682e

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-07T10:31:55.636246Z digest=sha256:0660e6bb1d7f0e8eba146f4cb370561ced7d6f2711276ef9530aadf81e479a4b

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-07T10:31:55.648330Z digest=sha256:aa34f5fd462e587ee5189c5b820071fb1de659e9cde10e0b57fa342d208b219d

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-07T10:31:55.662586Z digest=sha256:fe718010598ea88b4e9fcf4e2e1f19ac8a33e96c16bf82c7364c0c4fdce7eff0

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-07T10:31:55.668102Z digest=sha256:697037be4e6c7b7652ff6d8b7849cf7d70b898f71c17b3bb04a08404217b69c4

Pith citing papers

No inbound Pith citation observations are available.