Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Auto-PINN: Understanding and Optimizing Physics-Informed Neural Architecture
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2205.13748.
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 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-04T21:21:40.962626Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-07-09T12:56:14.900613Z
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 8fbf4031-fe8e-49c5-8b4b-f7e869f33e96 · 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 Auto-PINN: Understanding and Optimizing Physics-Informed Neural Architecture
Reference 33
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T21:21:40.962626Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2132007a-38c0-4bb0-89fa-7ed95e9a6f62 · inbound
A Simple but Efficient Transformer-Based Physics-Informed Neural Network for Incompressible Navier--Stokes Equations cites this paper.
A Simple but Efficient Transformer-Based Physics-Informed Neural Network for Incompressible Navier--Stokes Equations Auto-PINN: Understanding and Optimizing Physics-Informed Neural Architecture
Reference 36
- Resolution
- verified exact
- arxiv_id, observed 2026-05-21T17:05:24.270171Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation e0287d7c-4c0c-4b63-b969-f0e0eff96efc · inbound
Physics-Audited Agentic Discovery in Scientific Machine Learning cites this paper.
Physics-Audited Agentic Discovery in Scientific Machine Learning Auto-PINN: Understanding and Optimizing Physics-Informed Neural Architecture
Reference 36
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-09T12:56:14.902611Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.