Paper Citation Record · LEDGER

Self-Certifying Primal-Dual Optimization Proxies for Large-Scale Batch Economic Dispatch

As of 11 August 2026, this Paper Citation Record lists 31 of 31 outbound references and 0 inbound Pith citation observations for arXiv:2510.15850.

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

pith.paper-citation-record.v1
2510.15850 v2

Coverage vector

measured 31 of 31 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-18T05:53:06.087963Z

measured 31 of 31 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

31 of 31 outbound references displayed

verified exact5
verified fuzzy24
unresolved1
parse uncertain0
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metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 4096930c-8753-4bdf-9556-af9746164041 · outbound

This paper cites Market-based trans- mission expansion planning.

Self-Certifying Primal-Dual Optimization Proxies for Large-Scale Batch Economic Dispatch Market-based trans- mission expansion planning

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T05:55:58.033662Z

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 677af6b6-c710-4a28-aba7-b8af3053bbdc · outbound

This paper cites Reliability and risk metrics to assess operational adequacy and flexibility of power grids.Reliability Engineering & System Safety, 231:109018.

Self-Certifying Primal-Dual Optimization Proxies for Large-Scale Batch Economic Dispatch Reliability and risk metrics to assess operational adequacy and flexibility of power grids.Reliability Engineering & System Safety, 231:109018

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T05:55:58.036549Z

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 aff50ba0-9419-495a-a6cd-df07ca551a87 · outbound

This paper cites Real-time risk analysis with optimization proxies.

Self-Certifying Primal-Dual Optimization Proxies for Large-Scale Batch Economic Dispatch Real-time risk analysis with optimization proxies

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T05:55:58.025760Z

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 0ebf4528-a374-462c-b3c8-65773a5610ea · outbound

This paper cites Stochastic look-ahead commit- ment: A case study in MISO.

Self-Certifying Primal-Dual Optimization Proxies for Large-Scale Batch Economic Dispatch Stochastic look-ahead commit- ment: A case study in MISO

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T05:55:58.028503Z

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 451969cd-7cc5-4c4d-b2a0-5927db433383 · outbound

This paper cites Benders Decomposition using Graph Modeling and Multi-Parametric Programming.

Self-Certifying Primal-Dual Optimization Proxies for Large-Scale Batch Economic Dispatch Benders Decomposition using Graph Modeling and Multi-Parametric Programming

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-18T05:55:56.894952Z

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 a9b6c297-a6f1-4f80-9848-cc976f1b0b3e · outbound

This paper cites Review of machine learning techniques for optimal power flow.SSRN 4681955.

Self-Certifying Primal-Dual Optimization Proxies for Large-Scale Batch Economic Dispatch Review of machine learning techniques for optimal power flow.SSRN 4681955

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T05:55:58.001278Z

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 462adbf2-0b5a-462c-80af-1d04249ad18f · outbound

This paper cites Trustworthy optimization learn- ing: a brief overview.

Self-Certifying Primal-Dual Optimization Proxies for Large-Scale Batch Economic Dispatch Trustworthy optimization learn- ing: a brief overview

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T05:55:57.998838Z

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 c1f828b1-a5f6-4a16-9faa-7a39301fef77 · outbound

This paper cites Optnet: Differentiable optimization as a layer in neural networks.

Self-Certifying Primal-Dual Optimization Proxies for Large-Scale Batch Economic Dispatch Optnet: Differentiable optimization as a layer in neural networks

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T05:55:57.991733Z

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 c0acb1df-f349-46ea-b77c-debd5e8935c5 · outbound

This paper cites Projection-aware deep neural network for dc optimal power flow without constraint violations.

Self-Certifying Primal-Dual Optimization Proxies for Large-Scale Batch Economic Dispatch Projection-aware deep neural network for dc optimal power flow without constraint violations

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T05:55:57.989033Z

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 3c98b21c-301a-45ae-9330-ada8e528ed83 · outbound

This paper cites End-to-end feasible optimization proxies for large-scale economic dispatch.IEEE Trans- actions on Power Systems.

Self-Certifying Primal-Dual Optimization Proxies for Large-Scale Batch Economic Dispatch End-to-end feasible optimization proxies for large-scale economic dispatch.IEEE Trans- actions on Power Systems

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T05:55:57.995492Z

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 2ce3373d-38c4-4e87-9a3b-81132a2afdfa · outbound

This paper cites RAYEN: Imposition of Hard Convex Constraints on Neural Networks.

Self-Certifying Primal-Dual Optimization Proxies for Large-Scale Batch Economic Dispatch RAYEN: Imposition of Hard Convex Constraints on Neural Networks

Reference 11

Resolution: verified exact; local_arxiv, observed 2026-05-18T05:55:56.889660Z

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 fdc3197d-c757-484e-96d9-109c9b41da71 · outbound

This paper cites Min and N.

Self-Certifying Primal-Dual Optimization Proxies for Large-Scale Batch Economic Dispatch Min and N

Reference 12

Resolution: metadata mismatch; arxiv_id, observed 2026-05-18T05:55:56.885175Z

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 88f01667-723d-43e2-8dee-57654c3865f6 · outbound

This paper cites Enforcing hard linear constraints in deep learning models with decision rules.NeurIPS.

Self-Certifying Primal-Dual Optimization Proxies for Large-Scale Batch Economic Dispatch Enforcing hard linear constraints in deep learning models with decision rules.NeurIPS

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T05:55:57.981221Z

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 ae3b5a9c-d93e-45cb-b95f-6a9d133f173a · outbound

This paper cites Compact optimality verification for optimization proxies.

Self-Certifying Primal-Dual Optimization Proxies for Large-Scale Batch Economic Dispatch Compact optimality verification for optimization proxies

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T05:55:57.983668Z

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 e4344c40-c0f4-408c-b40f-2617dcdd7d4a · outbound

This paper cites Algorithms for verifying deep neural networks.Foundations and Trends® in Optimization.

Self-Certifying Primal-Dual Optimization Proxies for Large-Scale Batch Economic Dispatch Algorithms for verifying deep neural networks.Foundations and Trends® in Optimization

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T05:55:57.977840Z

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 291522a1-9aa3-4945-857c-82442c3d2434 · outbound

This paper cites Physics- informed neural networks for minimising worst-case violations in dc optimal power flow.

Self-Certifying Primal-Dual Optimization Proxies for Large-Scale Batch Economic Dispatch Physics- informed neural networks for minimising worst-case violations in dc optimal power flow

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T05:55:57.972838Z

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 baf03898-f4d6-4d70-bbb6-527ff90f1a78 · outbound

This paper cites Scalable Exact Verification of Optimization Proxies for Large-Scale Optimal Power Flow.

Self-Certifying Primal-Dual Optimization Proxies for Large-Scale Batch Economic Dispatch Scalable Exact Verification of Optimization Proxies for Large-Scale Optimal Power Flow

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-05-18T05:55:56.904389Z

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 f816de26-87d4-4a30-95f2-fe908196191f · outbound

This paper cites an unresolved cited work.

Self-Certifying Primal-Dual Optimization Proxies for Large-Scale Batch Economic Dispatch Unresolved cited work

Reference 18

Resolution: unresolved; raw_fallback, observed 2026-05-18T05:55:57.975099Z

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 b75acc1d-5109-4c73-831a-74ce4c9b687c · outbound

This paper cites Explainable warm-start point learning for ac optimal power flow using a novel hybrid stacked ensemble method.Sustainability.

Self-Certifying Primal-Dual Optimization Proxies for Large-Scale Batch Economic Dispatch Explainable warm-start point learning for ac optimal power flow using a novel hybrid stacked ensemble method.Sustainability

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T05:55:57.986325Z

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 aa7c38ef-b1bf-454f-af65-64a556350ffc · outbound

This paper cites Smart-pgsim: Using neural network to accelerate ac-opf power grid simulation.

Self-Certifying Primal-Dual Optimization Proxies for Large-Scale Batch Economic Dispatch Smart-pgsim: Using neural network to accelerate ac-opf power grid simulation

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T05:55:58.003854Z

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 88c4bbd4-db6d-4f38-aa79-dc66063929bc · outbound

This paper cites Compact optimization learning for ac optimal power flow.IEEE Transactions on Power Systems.

Self-Certifying Primal-Dual Optimization Proxies for Large-Scale Batch Economic Dispatch Compact optimization learning for ac optimal power flow.IEEE Transactions on Power Systems

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T05:55:58.030895Z

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 a9502a63-44d3-4c41-819a-b43d23689a89 · outbound

This paper cites Warm-starting ac optimal power flow with graph neural networks.

Self-Certifying Primal-Dual Optimization Proxies for Large-Scale Batch Economic Dispatch Warm-starting ac optimal power flow with graph neural networks

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T05:55:58.021061Z

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 f1982950-7f8b-4d4e-873f-266a3c0e3b99 · outbound

This paper cites SIAM.

Self-Certifying Primal-Dual Optimization Proxies for Large-Scale Batch Economic Dispatch SIAM

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T05:55:58.015990Z

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 f9b757d5-46c6-4a98-9f3e-50695d5a279d · outbound

This paper cites Pinet: Optimizing hard- constrained neural networks with orthogonal projection layers.

Self-Certifying Primal-Dual Optimization Proxies for Large-Scale Batch Economic Dispatch Pinet: Optimizing hard- constrained neural networks with orthogonal projection layers

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-05-18T05:55:56.908893Z

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 3d094be5-02fb-453a-8d11-3cde163e48bd · outbound

This paper cites Dual lagrangian learning for conic optimization.

Self-Certifying Primal-Dual Optimization Proxies for Large-Scale Batch Economic Dispatch Dual lagrangian learning for conic optimization

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T05:55:58.013851Z

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 f003eeed-6dc1-4b83-98b6-134e00aee593 · outbound

This paper cites The Power Grid Library for Benchmarking AC Optimal Power Flow Algorithms.

Self-Certifying Primal-Dual Optimization Proxies for Large-Scale Batch Economic Dispatch The Power Grid Library for Benchmarking AC Optimal Power Flow Algorithms

Reference 26

Resolution: verified exact; arxiv_id, observed 2026-05-18T05:55:56.900003Z

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 a0645abb-9eaa-4479-84d7-7e3ae988d5c5 · outbound

This paper cites PGLearn - an open-source learning toolkit for optimal power flow.

Self-Certifying Primal-Dual Optimization Proxies for Large-Scale Batch Economic Dispatch PGLearn - an open-source learning toolkit for optimal power flow

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T05:55:58.011228Z

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 c1cd0abb-b2cd-4977-bb29-8d11db618a54 · outbound

This paper cites JuMP 1.0: Recent improvements to a modeling language for mathematical optimization.

Self-Certifying Primal-Dual Optimization Proxies for Large-Scale Batch Economic Dispatch JuMP 1.0: Recent improvements to a modeling language for mathematical optimization

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T05:55:58.018690Z

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 dd4d69ba-6a9b-4b4b-929d-d83a1149f53a · outbound

This paper cites Huangfu and J.

Self-Certifying Primal-Dual Optimization Proxies for Large-Scale Batch Economic Dispatch Huangfu and J

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T05:55:58.023307Z

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 f51602d0-c929-4beb-9f2c-94a9122ed6e8 · outbound

This paper cites Dual interior point optimization learning.

Self-Certifying Primal-Dual Optimization Proxies for Large-Scale Batch Economic Dispatch Dual interior point optimization learning

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T05:55:58.006186Z

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 f6e0bb82-685f-4f1f-867e-5db60e739ddd · outbound

This paper cites Pytorch: An imperative style, high- performance deep learning library.NeurIPS.

Self-Certifying Primal-Dual Optimization Proxies for Large-Scale Batch Economic Dispatch Pytorch: An imperative style, high- performance deep learning library.NeurIPS

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T05:55:58.008838Z

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.