Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
On understanding and overcoming spectral biases of deep neural network learning methods for solving PDEs
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2501.09987.
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 2026-08-03T22:23:51.649226Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-18T12:32:36.182118Z
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 08b69060-4500-4011-aef3-cf2b25a921ef · inbound
A Greedy PDE Router for Blending Neural Operators and Classical Methods cites this paper.
A Greedy PDE Router for Blending Neural Operators and Classical Methods On understanding and overcoming spectral biases of deep neural network learning methods for solving PDEs
Reference 18
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T12:32:36.185433Z
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 289179aa-29c7-4ffd-ba23-8775cefd29d8 · inbound
SUPER Module for Detail-Sensitive and Cost-Efficient U-Net Variant Decoders cites this paper.
SUPER Module for Detail-Sensitive and Cost-Efficient U-Net Variant Decoders On understanding and overcoming spectral biases of deep neural network learning methods for solving PDEs
Reference 22
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T22:23:51.649226Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c16cf52b-7a8c-40cc-984f-92951f13f01f · inbound
On the Convergence Behavior of Preconditioned Gradient Descent Toward the Rich Learning Regime cites this paper.
On the Convergence Behavior of Preconditioned Gradient Descent Toward the Rich Learning Regime On understanding and overcoming spectral biases of deep neural network learning methods for solving PDEs
Reference 21
- Resolution
- verified exact
- arxiv_id, observed 2026-05-16T17:23:09.967086Z
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.