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Paper Citation Record · LEDGER

DC3: A learning method for optimization with hard constraints

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 16 inbound Pith citation observations for arXiv:2104.12225.

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

pith.paper-citation-record.v1
2104.12225 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 16 of 16 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 16 of 16 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T19:36:57.881220Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-07-04T06:29:37.405587Z

Reference resolution

0 of 0 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation d09a33e6-d5b4-49ca-9c1f-edb15be51015 · inbound

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

RAYEN: Imposition of Hard Convex Constraints on Neural Networks DC3: A learning method for optimization with hard constraints

Reference 24

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verified exact
arxiv_id, observed 2026-05-24T07:26:03.664784Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation b3e08838-599d-4022-aea2-42380ed5a02c · inbound

HoP: Homeomorphic Polar Learning for Hard Constrained Optimization cites this paper.

HoP: Homeomorphic Polar Learning for Hard Constrained Optimization DC3: A learning method for optimization with hard constraints

Reference 9

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no resolver link, observed 2026-08-09T19:36:57.881220Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T19:36:57.881220Z digest=sha256:2fb21803520f86cd7c10b2be023d196a71ca5f74691c57bacdb90154ed9d5ac2

Observation 0e485f68-b25e-47b7-9fbf-1921d7fb82ba · inbound

Dual Conic Proxy for Semidefinite Relaxation of AC Optimal Power Flow cites this paper.

Dual Conic Proxy for Semidefinite Relaxation of AC Optimal Power Flow DC3: A learning method for optimization with hard constraints

Reference 2

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no resolver link, observed 2026-08-08T14:17:30.551680Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T14:17:30.551680Z digest=sha256:08b1cd36d37bfaa9fae2c48ae0d79539c684bac8b2a0f31b9a06b04ffa35e711

Observation a7463cd1-e87b-4e9f-8a7d-e5b6549f79e4 · inbound

Diffusion-based learning framework for Constrained Nonconvex Optimization with Weighted Bootstrapped Refinement cites this paper.

Diffusion-based learning framework for Constrained Nonconvex Optimization with Weighted Bootstrapped Refinement DC3: A learning method for optimization with hard constraints

Reference 15

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no resolver link, observed 2026-08-07T18:37:52.081050Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T18:37:52.081050Z digest=sha256:82708ef4d3fc7e09d0dbca47f4d635fc5869ea8ed16dd73dbdabdece9ff2dbb0

Observation 831dde64-3b57-4dec-ab16-4b6656592d5b · inbound

Physics-Informed Neural Networks with Hard Nonlinear Equality and Inequality Constraints cites this paper.

Physics-Informed Neural Networks with Hard Nonlinear Equality and Inequality Constraints DC3: A learning method for optimization with hard constraints

Reference 35

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no resolver link, observed 2026-08-06T18:35:11.752300Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:35:11.752300Z digest=sha256:feeaeccebf8633a2bbeaed36281b7a0c7f66e83c30fd44fc21c8ad9239983334

Observation 2382fb66-77df-46c9-a4f0-c250c4f7e307 · inbound

Case Studies of Generative Machine Learning Models for Dynamical Systems cites this paper.

Case Studies of Generative Machine Learning Models for Dynamical Systems DC3: A learning method for optimization with hard constraints

Reference 35

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no resolver link, observed 2026-08-06T00:01:46.888919Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T00:01:46.888919Z digest=sha256:019f7a0016c8cae5fa0644b1cb56aa6a154f17126b593052b11ae6a4901ceaf3

Observation 0c38784a-2145-419f-b2e7-23f2f17541d5 · inbound

SnareNet: Flexible Repair Layers for Neural Networks with Hard Constraints cites this paper.

SnareNet: Flexible Repair Layers for Neural Networks with Hard Constraints DC3: A learning method for optimization with hard constraints

Reference 10

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verified exact
arxiv_id, observed 2026-05-16T03:37:13.694761Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-16T03:36:12.749864Z digest=sha256:b1c0f9ec6174c0a9ddebdd8fe778d227ad4ded0f5550341d9b451f8b69ebc7bd

Observation c67a8993-a013-47e1-bb55-4dde1e2ad85a · inbound

Learning with Embedded Linear Equality Constraints via Variational Bayesian Inference cites this paper.

Learning with Embedded Linear Equality Constraints via Variational Bayesian Inference DC3: A learning method for optimization with hard constraints

Reference 2

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arxiv_id, observed 2026-05-11T21:51:12.715285Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-08T04:12:05.834241Z digest=sha256:7826a7263221a1d966efbd1b1bcad5575062c612ebfe8b1b5d85e3b449829f1a

Observation a8087a4e-2ad3-40a4-a77a-b8cd27a76a21 · inbound

Regret Equals Covariance: A Closed-Form Characterization for Stochastic Optimization cites this paper.

Regret Equals Covariance: A Closed-Form Characterization for Stochastic Optimization DC3: A learning method for optimization with hard constraints

Reference 8

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arxiv_id, observed 2026-05-15T02:39:41.709980Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-15T02:34:19.803167Z digest=sha256:aa1866b16c8ea67f1be0115a78ef88f473bdb20c6946360883f1093c7b1230c6

Observation 1daa0ef1-49e0-4599-8620-0f6a310c71dc · inbound

Physics-Informed Graph Learning Acceleration for Large-Scale AC-OPF with Topology Changes cites this paper.

Physics-Informed Graph Learning Acceleration for Large-Scale AC-OPF with Topology Changes DC3: A learning method for optimization with hard constraints

Reference 46

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arxiv_id, observed 2026-07-02T14:37:03.873623Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-06-28T00:19:07.001137Z digest=sha256:2a3557f89cba024685640e206a94786bc90b8a835fc83efdf96ce8bc36e8d255

Observation 3991fe8d-1038-49c5-bda9-4d12bb6c7e3a · inbound

Fusing Backdoors, Machine Learning, and Optimization for Large-Scale Parametric Mixed-Integer Programs cites this paper.

Fusing Backdoors, Machine Learning, and Optimization for Large-Scale Parametric Mixed-Integer Programs DC3: A learning method for optimization with hard constraints

Reference 14

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arxiv_id, observed 2026-07-04T06:19:37.402202Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-06-26T14:41:53.912796Z digest=sha256:a8c61a457341e3dcd72a2d695d9a566e452f7b790361d90a3939b85d59ddeb73

Observation 7a00cc5f-b0bc-4fb0-8f2f-9dabb59d03a7 · inbound

Embedding Linear Equality Constraints in Probabilistic Neural Networks for Dynamic Modelling cites this paper.

Embedding Linear Equality Constraints in Probabilistic Neural Networks for Dynamic Modelling DC3: A learning method for optimization with hard constraints

Reference 8

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arxiv_id, observed 2026-07-04T06:29:37.408322Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-06-26T14:28:35.197163Z digest=sha256:eca28ddd91a29acc17da964aa9a7dcf665fc9fec859fb400923da54e5b2ae37c

Observation 6f1bdebe-ac81-4f6f-9780-0f1b616909fb · inbound

Trust-Calibrated Certified Repair for Physics-Constrained Decisions under Localized Model Misspecification cites this paper.

Trust-Calibrated Certified Repair for Physics-Constrained Decisions under Localized Model Misspecification DC3: A learning method for optimization with hard constraints

Reference 5

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arxiv_id, observed 2026-06-30T13:24:40.743054Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-06-30T09:10:09.947036Z digest=sha256:ccedbe2e84f26ee68fa77b2e7ff9f95a8e40cf60317936e56883d639c9bd7938

Observation de1bce1e-72ef-4196-9f41-07ce549e76a8 · inbound

End-to-End Learning of Safe Optimal Feedback Control in High Dimensions with Control Barrier Function Layers cites this paper.

End-to-End Learning of Safe Optimal Feedback Control in High Dimensions with Control Barrier Function Layers DC3: A learning method for optimization with hard constraints

Reference 36

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no resolver link, observed 2026-08-01T09:44:50.425884Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T09:44:50.425884Z digest=sha256:0ee869f6d4df3e152598912dfbdf1e581694a1947c21e4418017127bb6f36af7

Observation 603eda5b-0fa6-4e52-b056-ca38574a16ad · inbound

FMOPF: Latent Flow Matching with Constraint-Aware Interaction Priors for AC Optimal Power Flow cites this paper.

FMOPF: Latent Flow Matching with Constraint-Aware Interaction Priors for AC Optimal Power Flow DC3: A learning method for optimization with hard constraints

Reference 21

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no resolver link, observed 2026-08-01T05:21:17.584647Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T05:21:17.584647Z digest=sha256:e1930fbf2441721322ecd178f71101dd2fa1b05abbad185ce2685ae3493eebb3

Observation 323a435a-5f57-4619-9f74-b9577dbf5da6 · inbound

A Multi-stage Constrained Optimization Framework for Data-driven Problems cites this paper.

A Multi-stage Constrained Optimization Framework for Data-driven Problems DC3: A learning method for optimization with hard constraints

Reference 16

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Unavailable: canonical work link unavailable.

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