Paper Citation Record · LEDGER

A Discretization Approach for Bilevel Optimization with Low-Dimensional and Non-Convex Lower-Level

As of 16 August 2026, this Paper Citation Record lists 40 of 40 outbound references and 0 inbound Pith citation observations for arXiv:2505.10830.

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

pith.paper-citation-record.v1
2505.10830 v1

Coverage vector

measured 40 of 40 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T21:12:39.040133Z

measured 40 of 40 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+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

40 of 40 outbound references displayed

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verified fuzzy22
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation cc88d2ce-cf71-40cd-9549-baf185a209d2 · outbound

This paper cites Pappas, Hamed Hassani, and Volkan Cevher.

A Discretization Approach for Bilevel Optimization with Low-Dimensional and Non-Convex Lower-Level Pappas, Hamed Hassani, and Volkan Cevher

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:12:39.837538Z

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Observation a09a41df-8819-4d54-a7e9-21ae243e7109 · outbound

This paper cites Revisiting and advancing fast adversarial training through the lens of bi-level optimization.

A Discretization Approach for Bilevel Optimization with Low-Dimensional and Non-Convex Lower-Level Revisiting and advancing fast adversarial training through the lens of bi-level optimization

Reference 2

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Observation 34f93449-3d24-4c27-8ace-964643d2a61f · outbound

This paper cites Learning to continuously optimize wireless resource in a dynamic environment: A bilevel optimiza- tion perspective.

A Discretization Approach for Bilevel Optimization with Low-Dimensional and Non-Convex Lower-Level Learning to continuously optimize wireless resource in a dynamic environment: A bilevel optimiza- tion perspective

Reference 3

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This paper cites Predicting flat-fading channels via meta-learned closed-form linear filters and equilibrium propagation, 2022.

A Discretization Approach for Bilevel Optimization with Low-Dimensional and Non-Convex Lower-Level Predicting flat-fading channels via meta-learned closed-form linear filters and equilibrium propagation, 2022

Reference 4

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Observation 84d80df2-72fc-495a-b9cc-69e81b61bbed · outbound

This paper cites Channel estimation for mimo-ofdm systems by modal analysis/filtering.

A Discretization Approach for Bilevel Optimization with Low-Dimensional and Non-Convex Lower-Level Channel estimation for mimo-ofdm systems by modal analysis/filtering

Reference 5

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Observation 9c0ff6ab-fdb7-4bdb-9f75-3a6ed5d01834 · outbound

This paper cites Meta-Learning with Implicit Gradients.

A Discretization Approach for Bilevel Optimization with Low-Dimensional and Non-Convex Lower-Level Meta-Learning with Implicit Gradients

Reference 6

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Observation 5ce710bf-2ec1-4aec-9435-b0bc2d61b925 · outbound

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A Discretization Approach for Bilevel Optimization with Low-Dimensional and Non-Convex Lower-Level Unresolved cited work

Reference 7

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Observation 6244fe99-99a4-4e52-bf27-e3063bb526a0 · outbound

This paper cites Hyperparameter optimization with approximate gradient, 2022.

A Discretization Approach for Bilevel Optimization with Low-Dimensional and Non-Convex Lower-Level Hyperparameter optimization with approximate gradient, 2022

Reference 8

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Observation e8931574-c50c-442f-bc86-f3957d55a6fc · outbound

This paper cites Bilevel programming for hyperparameter optimization and meta-learning, 2018.

A Discretization Approach for Bilevel Optimization with Low-Dimensional and Non-Convex Lower-Level Bilevel programming for hyperparameter optimization and meta-learning, 2018

Reference 9

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Observation 35399bb5-f214-4ec0-94b2-50f0ab252b0a · outbound

This paper cites A two-timescale stochastic algorithm framework for bilevel optimization: Complexity analysis and ap- plication to actor-critic.

A Discretization Approach for Bilevel Optimization with Low-Dimensional and Non-Convex Lower-Level A two-timescale stochastic algorithm framework for bilevel optimization: Complexity analysis and ap- plication to actor-critic

Reference 10

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Source-reported events for the cited work

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Observation 0dbd1fe6-060c-4de5-9904-96fec83d79c2 · outbound

This paper cites Approximation Methods for Bilevel Programming.

A Discretization Approach for Bilevel Optimization with Low-Dimensional and Non-Convex Lower-Level Approximation Methods for Bilevel Programming

Reference 11

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Observation c640310a-00ce-4a90-bbdb-bb8054f23eb4 · outbound

This paper cites A near-optimal algorithm for stochastic bilevel optimization via double- momentum.

A Discretization Approach for Bilevel Optimization with Low-Dimensional and Non-Convex Lower-Level A near-optimal algorithm for stochastic bilevel optimization via double- momentum

Reference 12

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Observation 0dc41344-e3d7-4ec9-9d5f-4a943f14629e · outbound

This paper cites A value- function-based interior-point method for non-convex bi-level optimization, 2021.

A Discretization Approach for Bilevel Optimization with Low-Dimensional and Non-Convex Lower-Level A value- function-based interior-point method for non-convex bi-level optimization, 2021

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:12:39.761568Z

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Observation 8e418fba-f1e6-4140-8bf6-6c4c59b93739 · outbound

This paper cites Bome! bilevel optimiza- tion made easy: A simple first-order approach, 2022.

A Discretization Approach for Bilevel Optimization with Low-Dimensional and Non-Convex Lower-Level Bome! bilevel optimiza- tion made easy: A simple first-order approach, 2022

Reference 14

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Observation 0e4460d3-4e92-41f9-a759-166e388b2de3 · outbound

This paper cites Gao, Jane J.

A Discretization Approach for Bilevel Optimization with Low-Dimensional and Non-Convex Lower-Level Gao, Jane J

Reference 15

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Observation f445ccab-a484-40c1-be5c-4a22ff246c25 · outbound

This paper cites Value-function- based sequential minimization for bi-level optimization.

A Discretization Approach for Bilevel Optimization with Low-Dimensional and Non-Convex Lower-Level Value-function- based sequential minimization for bi-level optimization

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:12:39.720280Z

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Observation a4d1ad32-e9a6-41eb-adaf-07ec5e517527 · outbound

This paper cites On penalty-based bilevel gradient descent method.

A Discretization Approach for Bilevel Optimization with Low-Dimensional and Non-Convex Lower-Level On penalty-based bilevel gradient descent method

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:12:39.707538Z

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Observation 7b813a10-231e-4522-a22d-aa759e4e7788 · outbound

This paper cites A Primal-Dual-Assisted Penalty Approach to Bilevel Optimization with Coupled Constraints.

A Discretization Approach for Bilevel Optimization with Low-Dimensional and Non-Convex Lower-Level A Primal-Dual-Assisted Penalty Approach to Bilevel Optimization with Coupled Constraints

Reference 18

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Observation 27ec5806-2d47-4fc7-b916-e32def36ff14 · outbound

This paper cites An introduction to bilevel optimization: Foundations and applications in signal processing and machine learning.

A Discretization Approach for Bilevel Optimization with Low-Dimensional and Non-Convex Lower-Level An introduction to bilevel optimization: Foundations and applications in signal processing and machine learning

Reference 19

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Observation d6455240-cb4e-48a9-a5d7-99eb82d65d53 · outbound

This paper cites Path-based formulations of a bilevel toll setting problem , pages 29–50.

A Discretization Approach for Bilevel Optimization with Low-Dimensional and Non-Convex Lower-Level Path-based formulations of a bilevel toll setting problem , pages 29–50

Reference 20

Resolution: verified exact; doi, observed 2026-08-15T21:12:39.088470Z

Source-reported events for the cited work

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Observation 76bd8191-6134-4f4d-98c5-4303c940d51f · outbound

This paper cites Vyacheslav Kalashnikov, Jos´ e-Fernando Camacho-Vallejo, Ronald Askin, and Na- taliya Kalashnykova.

A Discretization Approach for Bilevel Optimization with Low-Dimensional and Non-Convex Lower-Level Vyacheslav Kalashnikov, Jos´ e-Fernando Camacho-Vallejo, Ronald Askin, and Na- taliya Kalashnykova

Reference 21

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Source-reported events for the cited work

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Observation bfd74c4a-226f-4a8f-8c27-7590a86598b2 · outbound

This paper cites Graph theory.

A Discretization Approach for Bilevel Optimization with Low-Dimensional and Non-Convex Lower-Level Graph theory

Reference 22

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Observation 58f51552-d01f-46d0-b222-efb82ccb297d · outbound

This paper cites Stacked generalization.

A Discretization Approach for Bilevel Optimization with Low-Dimensional and Non-Convex Lower-Level Stacked generalization

Reference 23

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Observation f7f18e37-6b2c-49de-bb22-9dea19fdef05 · outbound

This paper cites Provably faster algorithms for bilevel opti- mization, 2021.

A Discretization Approach for Bilevel Optimization with Low-Dimensional and Non-Convex Lower-Level Provably faster algorithms for bilevel opti- mization, 2021

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:12:39.659460Z

Source-reported events for the cited work

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Observation c591a2c2-cb24-4bb5-b37b-9b0ba5695b92 · outbound

This paper cites Bilevel optimization: Convergence analysis and enhanced design.

A Discretization Approach for Bilevel Optimization with Low-Dimensional and Non-Convex Lower-Level Bilevel optimization: Convergence analysis and enhanced design

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:12:39.645325Z

Source-reported events for the cited work

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Observation 4bc0e140-7191-48c3-9d2e-455e157ac784 · outbound

This paper cites Alternating implicit projected sgd and its efficient variants for equality-constrained bilevel optimization, 2023.

A Discretization Approach for Bilevel Optimization with Low-Dimensional and Non-Convex Lower-Level Alternating implicit projected sgd and its efficient variants for equality-constrained bilevel optimization, 2023

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:12:39.632198Z

Source-reported events for the cited work

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Observation 32fc4650-1c10-4a04-b526-4f53f7a71e32 · outbound

This paper cites Linearly constrained bilevel optimization: A smoothed implicit gradient approach.

A Discretization Approach for Bilevel Optimization with Low-Dimensional and Non-Convex Lower-Level Linearly constrained bilevel optimization: A smoothed implicit gradient approach

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:12:39.619513Z

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Observation 5e16c6a8-165c-48f3-a1c1-b6f2d97c0ccc · outbound

This paper cites An implicit gradient-type method for linearly constrained bilevel problems.

A Discretization Approach for Bilevel Optimization with Low-Dimensional and Non-Convex Lower-Level An implicit gradient-type method for linearly constrained bilevel problems

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:12:39.605915Z

Source-reported events for the cited work

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

Observation 2a0c486b-e581-4dc0-9523-dc8cb58e6623 · outbound

This paper cites First-Order Methods for Linearly Constrained Bilevel Optimization.

A Discretization Approach for Bilevel Optimization with Low-Dimensional and Non-Convex Lower-Level First-Order Methods for Linearly Constrained Bilevel Optimization

Reference 29

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Observation b3b86095-21d4-4a5e-9adf-7f749f863cc5 · outbound

This paper cites White and Anand Anandalingam.

A Discretization Approach for Bilevel Optimization with Low-Dimensional and Non-Convex Lower-Level White and Anand Anandalingam

Reference 30

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Source-reported events for the cited work

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

Observation d2f9dbbc-9488-4bb8-9e3e-938b8763d9e3 · outbound

This paper cites Anandalingam and D.J.

A Discretization Approach for Bilevel Optimization with Low-Dimensional and Non-Convex Lower-Level Anandalingam and D.J

Reference 31

Resolution: verified exact; doi, observed 2026-08-15T21:12:39.074294Z

Source-reported events for the cited work

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Observation 67b3e94d-5138-454f-bb5b-e00078f6301f · outbound

This paper cites Ye, Daoli Zhu, and Qiji Jim Zhu.

A Discretization Approach for Bilevel Optimization with Low-Dimensional and Non-Convex Lower-Level Ye, Daoli Zhu, and Qiji Jim Zhu

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:12:39.580143Z

Source-reported events for the cited work

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

Observation 16c5282f-e7d4-41c6-8795-64f300a3fee9 · outbound

This paper cites Double penalty method for bilevel optimization problems.

A Discretization Approach for Bilevel Optimization with Low-Dimensional and Non-Convex Lower-Level Double penalty method for bilevel optimization problems

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:12:39.554456Z

Source-reported events for the cited work

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Observation 31a695d5-4a40-49fd-b6a8-2527ceedc82b · outbound

This paper cites A solution method for the static constrained stackelberg problem via penalty method.

A Discretization Approach for Bilevel Optimization with Low-Dimensional and Non-Convex Lower-Level A solution method for the static constrained stackelberg problem via penalty method

Reference 34

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Observation 43d83514-dd2e-4fb4-a839-232282e576c4 · outbound

This paper cites On solving simple bilevel programs with a nonconvex lower level program.

A Discretization Approach for Bilevel Optimization with Low-Dimensional and Non-Convex Lower-Level On solving simple bilevel programs with a nonconvex lower level program

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:12:39.539050Z

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

Observation c18d9717-f9d8-4e4f-b01e-4c3d17131328 · outbound

This paper cites On penalty-based bilevel gradient descent method, 2023.

A Discretization Approach for Bilevel Optimization with Low-Dimensional and Non-Convex Lower-Level On penalty-based bilevel gradient descent method, 2023

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:12:39.525708Z

Source-reported events for the cited work

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

Observation 47757dba-ef86-4b20-a769-5437b1fd990a · outbound

This paper cites A Single-Timescale Method for Stochastic Bilevel Optimization.

A Discretization Approach for Bilevel Optimization with Low-Dimensional and Non-Convex Lower-Level A Single-Timescale Method for Stochastic Bilevel Optimization

Reference 37

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Observation b4d2fcf0-65c5-4165-b12b-7a03d6526ad2 · outbound

This paper cites Understanding machine learning: From theory to algorithms.

A Discretization Approach for Bilevel Optimization with Low-Dimensional and Non-Convex Lower-Level Understanding machine learning: From theory to algorithms

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-15T21:12:39.036336Z

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Observation 9d12eed6-fd72-4329-95d2-8af77f9756d2 · outbound

This paper cites On a theorem of Danskin with an application to a theorem of von neumann-sion.

A Discretization Approach for Bilevel Optimization with Low-Dimensional and Non-Convex Lower-Level On a theorem of Danskin with an application to a theorem of von neumann-sion

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:12:39.496353Z

Source-reported events for the cited work

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

Observation 8b8cdd07-6a52-42e0-b713-6f7cc92425cf · outbound

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A Discretization Approach for Bilevel Optimization with Low-Dimensional and Non-Convex Lower-Level Unresolved cited work

Reference 1997

Resolution: unresolved; raw_fallback, observed 2026-08-15T21:12:39.567216Z

Source-reported events for the cited work

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

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