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Paper Citation Record · LEDGER

An adaptive augmented Lagrangian method for training physics and equality constrained artificial neural networks

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2306.04904.

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

pith.paper-citation-record.v1
2306.04904 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T10:23:14.484849Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T22:07:26.583533Z

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 0e7a25fa-3282-4bba-b213-ee82fb1d257b · inbound

KKANs: Kurkova-Kolmogorov-Arnold Networks and Their Learning Dynamics cites this paper.

KKANs: Kurkova-Kolmogorov-Arnold Networks and Their Learning Dynamics An adaptive augmented Lagrangian method for training physics and equality constrained artificial neural networks

Reference 118

Resolution
unresolved
no resolver link, observed 2026-08-11T10:23:14.484849Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 47e8256e-be18-47f1-896e-9ef6dfaf1e8f · inbound

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

Large-scale portfolio optimization with variational neural annealing An adaptive augmented Lagrangian method for training physics and equality constrained artificial neural networks

Reference 86

Resolution
unresolved
no resolver link, observed 2026-08-06T18:55:23.272395Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:55:23.272395Z digest=sha256:d89974b232dc9c420e89f37aaacbe68cb2ad5cd03855d22bb4f59c0abc0bb2b4

Observation 8defdef5-6953-4f20-9894-06664782e6e5 · inbound

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

Deep Uzawa for Kinetic Transport with Lagrange-Enforced Boundaries An adaptive augmented Lagrangian method for training physics and equality constrained artificial neural networks

Reference 1994

Resolution
malformed identifier
no resolver link, observed 2026-08-06T14:00:56.953914Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:00:56.953914Z digest=sha256:ea88d21da86effe4ad26bb4cab9ac26c9b1785db60bdb6d49369ed51e346fd13

Observation aaa791a3-4542-4ca5-b2cb-ee3d155ab053 · inbound

Conservative Discrete Structure Stabilizes Autoregressive Rollouts in a 1D Drift Diffusion Poisson Benchmark cites this paper.

Conservative Discrete Structure Stabilizes Autoregressive Rollouts in a 1D Drift Diffusion Poisson Benchmark An adaptive augmented Lagrangian method for training physics and equality constrained artificial neural networks

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-07-01T21:56:16.005185Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-06-28T15:58:37.202523Z digest=sha256:9b73382cef87a8459e74faf2c63d7bf4afcafe658d97931bc53ba9f9b997a611

Observation 9bda963a-c4a9-4e52-ab5a-fe31b3f06259 · inbound

Lagrange multipliers in Maximum likelihood estimations and Least squares problems with Constraints cites this paper.

Lagrange multipliers in Maximum likelihood estimations and Least squares problems with Constraints An adaptive augmented Lagrangian method for training physics and equality constrained artificial neural networks

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-07-02T22:07:26.585621Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-06-27T19:09:02.756976Z digest=sha256:01d58e74df1613f5f36a56d40db56037af16eb1d95d6a795009f0199955eb8d1