Paper Citation Record · LEDGER

A Natural Primal-Dual Hybrid Gradient Method for Adversarial Neural Network Training on Solving Partial Differential Equations

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2411.06278.

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

pith.paper-citation-record.v1
2411.06278 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 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 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T13:05:09.061753Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-01T14:05:46.936214Z

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 7046a37c-f43e-45eb-a581-acc26ed27ebb · inbound

Deep Tangent Bundle (DTB) method: a Deep Neural Network approach to compute solutions of PDES cites this paper.

Deep Tangent Bundle (DTB) method: a Deep Neural Network approach to compute solutions of PDES A Natural Primal-Dual Hybrid Gradient Method for Adversarial Neural Network Training on Solving Partial Differential Equations

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-05T13:05:09.061753Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation da34d006-318c-468d-b3b7-2e724b94dff2 · inbound

Implicit Neural Optimal Transport via Fixed-Point Optimization cites this paper.

Implicit Neural Optimal Transport via Fixed-Point Optimization A Natural Primal-Dual Hybrid Gradient Method for Adversarial Neural Network Training on Solving Partial Differential Equations

Reference 244

Resolution: verified exact; arxiv_id, observed 2026-05-26T02:02:25.515069Z

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.

Observation 4e169b9f-fc28-4328-a922-3c221e3ae841 · inbound

Implicit Neural Optimal Transport via Fixed-Point Optimization cites this paper.

Implicit Neural Optimal Transport via Fixed-Point Optimization A Natural Primal-Dual Hybrid Gradient Method for Adversarial Neural Network Training on Solving Partial Differential Equations

Reference 50

Resolution: verified exact; local_arxiv, observed 2026-07-01T14:05:46.937886Z

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.

Observation ecaea0ce-88d6-493b-b403-f550c2f3f52e · inbound

Inf-Sup Neural Networks for High Dimensional PDEs cites this paper.

Inf-Sup Neural Networks for High Dimensional PDEs A Natural Primal-Dual Hybrid Gradient Method for Adversarial Neural Network Training on Solving Partial Differential Equations

Reference 32

Resolution: unresolved; no resolver link, observed 2026-07-14T03:39:49.437017Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.