Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Robust Regression with Highly Corrupted Data via Physics Informed Neural Networks
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2210.10646.
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 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-04T21:21:40.972142Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-05T02:28:24.338817Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
1
pith, observed 2026-08-05T02:28:24.338817Z
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation 4199d28f-1205-4373-bc83-117b05661433 · inbound
Physics-Informed Neural Networks in Clean Combustion: A Pathway to Sustainable Aerospace Propulsion cites this paper.
Physics-Informed Neural Networks in Clean Combustion: A Pathway to Sustainable Aerospace Propulsion Robust Regression with Highly Corrupted Data via Physics Informed Neural Networks
Reference 35
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T21:21:40.972142Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5cbec82f-df2c-4dd5-87aa-819ece49c7eb · inbound
naPINN: Noise-Adaptive Physics-Informed Neural Networks for Recovering Physics from Corrupted Measurement cites this paper.
naPINN: Noise-Adaptive Physics-Informed Neural Networks for Recovering Physics from Corrupted Measurement Robust Regression with Highly Corrupted Data via Physics Informed Neural Networks
Reference 2022
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-08-03T06:38:31.135494Z
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.