Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Training neural networks under physical constraints using a stochastic augmented Lagrangian approach
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2009.07330.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-06-27T19:09:02.756976Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-02T22:07:26.580043Z
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 bec710ec-282b-42bf-854e-0516ff8724da · inbound
SnareNet: Flexible Repair Layers for Neural Networks with Hard Constraints cites this paper.
SnareNet: Flexible Repair Layers for Neural Networks with Hard Constraints Training neural networks under physical constraints using a stochastic augmented Lagrangian approach
Reference 9
- Resolution
- verified exact
- arxiv_id, observed 2026-05-16T03:37:13.648529Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 7742ad25-4d3c-4111-b098-0388f6df0dc1 · 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 Training neural networks under physical constraints using a stochastic augmented Lagrangian approach
Reference 11
- Resolution
- verified exact
- arxiv_id, observed 2026-07-02T22:07:26.582238Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.