Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
How to Avoid Trivial Solutions in Physics-Informed Neural Networks
As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2112.05620.
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 2026-08-06T20:49:34.959801Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-12T05:46:26.513434Z
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 6e1d1e48-665c-4d3b-bfa8-c3ac449e6d09 · inbound
B-PL-PINN: Stabilizing PINN Training with Bayesian Pseudo Labeling cites this paper.
B-PL-PINN: Stabilizing PINN Training with Bayesian Pseudo Labeling How to Avoid Trivial Solutions in Physics-Informed Neural Networks
Reference 13
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T20:49:34.959801Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 096b628a-68e6-4e05-b127-bb441f1b96fb · inbound
IP-Basis PINNs: Efficient Multi-Query Inverse Parameter Estimation cites this paper.
IP-Basis PINNs: Efficient Multi-Query Inverse Parameter Estimation How to Avoid Trivial Solutions in Physics-Informed Neural Networks
Reference 28
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T22:39:13.640757Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 038aab00-d49a-4d5e-9c8f-149df285046d · inbound
Per-Loss Adapters for Gradient Conflict in Physics-Informed Neural Networks cites this paper.
Per-Loss Adapters for Gradient Conflict in Physics-Informed Neural Networks How to Avoid Trivial Solutions in Physics-Informed Neural Networks
Reference 20
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T05:46:26.516390Z
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.