Paper Citation Record · LEDGER

Learning Constrained Optimization with Deep Augmented Lagrangian Methods

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2403.03454.

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

pith.paper-citation-record.v1
2403.03454 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 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 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T12:13:11.719732Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T05:00:55.697698Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

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 06e20c11-944b-4e18-a8a5-7a0ea9df50fd · inbound

mPOLICE: Provable Enforcement of Multi-Region Affine Constraints in Deep Neural Networks cites this paper.

mPOLICE: Provable Enforcement of Multi-Region Affine Constraints in Deep Neural Networks Learning Constrained Optimization with Deep Augmented Lagrangian Methods

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-09T12:13:11.719732Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d7949f21-5bfb-4d8e-9421-fc4e34d3b08f · inbound

Simultaneous Multi-Robot Motion Planning with Projected Diffusion Models cites this paper.

Simultaneous Multi-Robot Motion Planning with Projected Diffusion Models Learning Constrained Optimization with Deep Augmented Lagrangian Methods

Reference 1996

Resolution: unresolved; no resolver link, observed 2026-08-09T04:25:18.501367Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c9726591-64ee-43e2-880b-e68bbdab996f · inbound

PGLearn -- An Open-Source Learning Toolkit for Optimal Power Flow cites this paper.

PGLearn -- An Open-Source Learning Toolkit for Optimal Power Flow Learning Constrained Optimization with Deep Augmented Lagrangian Methods

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-07T13:05:03.286104Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5ab8a1b4-7959-4af1-8236-2134e6a77607 · inbound

Large-scale portfolio optimization with variational neural annealing cites this paper.

Large-scale portfolio optimization with variational neural annealing Learning Constrained Optimization with Deep Augmented Lagrangian Methods

Reference 85

Resolution: unresolved; no resolver link, observed 2026-08-06T18:55:23.267709Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 536b88ff-a9fd-41b0-8fa8-ccb0d5de53b7 · inbound

Deep Uzawa for Kinetic Transport with Lagrange-Enforced Boundaries cites this paper.

Deep Uzawa for Kinetic Transport with Lagrange-Enforced Boundaries Learning Constrained Optimization with Deep Augmented Lagrangian Methods

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-06T14:00:57.246170Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bd21077c-8aa1-4e45-ac6b-12ee0781330d · inbound

Learning to Optimize by Differentiable Programming cites this paper.

Learning to Optimize by Differentiable Programming Learning Constrained Optimization with Deep Augmented Lagrangian Methods

Reference 101

Resolution: unresolved; no resolver link, observed 2026-08-03T08:39:36.093364Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 333b7092-e93e-402d-ab35-c7fa40a48e45 · inbound

Training with Hard Constraints: Learning Neural Certificates and Controllers for SDEs cites this paper.

Training with Hard Constraints: Learning Neural Certificates and Controllers for SDEs Learning Constrained Optimization with Deep Augmented Lagrangian Methods

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-02T20:23:43.710862Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ae148c38-ff85-4b7f-8895-77ff3a989d99 · inbound

Solving Max-Cut to Global Optimality via Feasibility-Preserving Graph Neural Networks cites this paper.

Solving Max-Cut to Global Optimality via Feasibility-Preserving Graph Neural Networks Learning Constrained Optimization with Deep Augmented Lagrangian Methods

Reference 46

Resolution: verified exact; arxiv_id, observed 2026-05-11T05:00:55.699589Z

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.