Paper Citation Record · LEDGER

Target Mirror Descent: A Unifying Framework for Solving Monotone Variational Inequalities

As of 10 August 2026, this Paper Citation Record lists 18 of 18 outbound references and 0 inbound Pith citation observations for arXiv:2604.18813.

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

pith.paper-citation-record.v1
2604.18813 v1

Coverage vector

measured 18 of 18 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-10T03:40:55.839044Z

measured 18 of 18 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

18 of 18 outbound references displayed

verified exact0
verified fuzzy16
unresolved2
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 85200393-3379-4740-9553-0e5ed38ee99d · outbound

This paper cites The extragradient method for finding saddle points and other problems.

Target Mirror Descent: A Unifying Framework for Solving Monotone Variational Inequalities The extragradient method for finding saddle points and other problems

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T15:14:58.947095Z

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.

Observation 74b90372-4622-4387-a33f-14c69a4dec05 · outbound

This paper cites Stochastic Mirror Descent Dynamics and Their Convergence in Monotone Variational Inequalities.

Target Mirror Descent: A Unifying Framework for Solving Monotone Variational Inequalities Stochastic Mirror Descent Dynamics and Their Convergence in Monotone Variational Inequalities

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T15:14:58.921805Z

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.

Observation 3fd6d0de-4670-45b3-a9ab-5a326984269d · outbound

This paper cites Nonlinear Proximal Point Algorithms Using Bregman Functions, with Applications to Convex Programming.

Target Mirror Descent: A Unifying Framework for Solving Monotone Variational Inequalities Nonlinear Proximal Point Algorithms Using Bregman Functions, with Applications to Convex Programming

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T15:14:58.943333Z

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.

Observation ceb1a14f-c94a-4187-b283-9b21edb12252 · outbound

This paper cites Pseudomonotone Variational Inequalities: Conver- gence of Proximal Methods.

Target Mirror Descent: A Unifying Framework for Solving Monotone Variational Inequalities Pseudomonotone Variational Inequalities: Conver- gence of Proximal Methods

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T15:14:58.918385Z

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.

Observation 908aabe6-a109-4896-b7b2-fb0b556ed05a · outbound

This paper cites Prox-Method with Rate of Convergence O(1/t) for Variational Inequalities with Lipschitz Continuous Monotone Operators and Smooth Convex-Concave Saddle Point Problems.

Target Mirror Descent: A Unifying Framework for Solving Monotone Variational Inequalities Prox-Method with Rate of Convergence O(1/t) for Variational Inequalities with Lipschitz Continuous Monotone Operators and Smooth Convex-Concave Saddle Point Problems

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T15:14:58.960122Z

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.

Observation 4d851301-0483-49e4-8102-a7f9cb21dcc2 · outbound

This paper cites On the convergence properties of non- Euclidean extragradient methods for variational inequalities with gener- alized monotone operators.

Target Mirror Descent: A Unifying Framework for Solving Monotone Variational Inequalities On the convergence properties of non- Euclidean extragradient methods for variational inequalities with gener- alized monotone operators

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T15:14:58.911747Z

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.

Observation 408794e9-62d1-4342-8ebd-d8326303ab1c · outbound

This paper cites Efficient methods for structured nonconvex-nonconcave min-max optimization.

Target Mirror Descent: A Unifying Framework for Solving Monotone Variational Inequalities Efficient methods for structured nonconvex-nonconcave min-max optimization

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T15:14:58.950402Z

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.

Observation 0653c3dd-99fa-4540-b89b-bc9a39d1bd19 · outbound

This paper cites Facchinei and J.-S.

Target Mirror Descent: A Unifying Framework for Solving Monotone Variational Inequalities Facchinei and J.-S

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T15:14:58.905016Z

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.

Observation 5a96981a-1248-4990-91a8-f98cab3276dd · outbound

This paper cites an unresolved cited work.

Target Mirror Descent: A Unifying Framework for Solving Monotone Variational Inequalities Unresolved cited work

Reference 9

Resolution: unresolved; raw_fallback, observed 2026-05-22T15:14:58.963173Z

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.

Observation a1a02143-259e-4665-a51b-6d1208054c22 · outbound

This paper cites Bregman Forward-Backward Operator Splitting.

Target Mirror Descent: A Unifying Framework for Solving Monotone Variational Inequalities Bregman Forward-Backward Operator Splitting

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T15:14:58.928527Z

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.

Observation e13131e3-e0ee-4a3c-93df-2d465aaf7751 · outbound

This paper cites an unresolved cited work.

Target Mirror Descent: A Unifying Framework for Solving Monotone Variational Inequalities Unresolved cited work

Reference 11

Resolution: unresolved; raw_fallback, observed 2026-05-22T15:14:58.925106Z

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.

Observation 10c9e8d1-bc30-4469-8b48-e7146c4419c8 · outbound

This paper cites The forward–backward– forward method from continuous and discrete perspective for pseudo- monotone variational inequalities in Hilbert spaces.

Target Mirror Descent: A Unifying Framework for Solving Monotone Variational Inequalities The forward–backward– forward method from continuous and discrete perspective for pseudo- monotone variational inequalities in Hilbert spaces

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T15:14:58.956939Z

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.

Observation 31d3ec64-f770-4135-a6a6-bb42feba7e21 · outbound

This paper cites A Modified Forward-Backward Splitting Method for Maximal Monotone Mappings.

Target Mirror Descent: A Unifying Framework for Solving Monotone Variational Inequalities A Modified Forward-Backward Splitting Method for Maximal Monotone Mappings

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T15:14:58.915197Z

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.

Observation 022ca128-f291-4154-a647-a3a3283c1128 · outbound

This paper cites Second-Order Mirror Descent: Convergence in Games Beyond Averaging and Discounting.

Target Mirror Descent: A Unifying Framework for Solving Monotone Variational Inequalities Second-Order Mirror Descent: Convergence in Games Beyond Averaging and Discounting

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T15:14:58.953849Z

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.

Observation 1b0cf841-3063-448f-b494-5119ad8a8a82 · outbound

This paper cites A Unified Analysis of Extra- gradient and Optimistic Gradient Methods for Saddle Point Problems: Proximal Point Approach.

Target Mirror Descent: A Unifying Framework for Solving Monotone Variational Inequalities A Unified Analysis of Extra- gradient and Optimistic Gradient Methods for Saddle Point Problems: Proximal Point Approach

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T15:14:58.939566Z

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.

Observation 3fb7c9b4-52d4-4168-94cf-879bebcebff8 · outbound

This paper cites Finite-dimensional variational inequality and nonlinear complementarity problems: A survey of theory, algorithms and applications.

Target Mirror Descent: A Unifying Framework for Solving Monotone Variational Inequalities Finite-dimensional variational inequality and nonlinear complementarity problems: A survey of theory, algorithms and applications

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T15:14:58.908395Z

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.

Observation 59a69abe-48a0-42f1-ac4a-3ba2a4c041ff · outbound

This paper cites Bregman Monotone Optimization Algorithms.

Target Mirror Descent: A Unifying Framework for Solving Monotone Variational Inequalities Bregman Monotone Optimization Algorithms

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T15:14:58.936057Z

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.

Observation 7420bf9b-5ca4-4486-95dc-b04586c1c9fe · outbound

This paper cites Equilibrium-independent passivity: A new definition and numerical certification.

Target Mirror Descent: A Unifying Framework for Solving Monotone Variational Inequalities Equilibrium-independent passivity: A new definition and numerical certification

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T15:14:58.932006Z

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.

Pith citing papers

No inbound Pith citation observations are available.