Paper Citation Record · LEDGER

SPFNO: Spectral operator learning for PDEs with Dirichlet and Neumann boundary conditions

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2312.06980.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2312.06980 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T10:23:59.758766Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-05-16T07:12:30.046391Z

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 b0daab81-b2a2-436a-ae37-a85a2666ab9e · inbound

PODNO: Proper Orthogonal Decomposition Neural Operators cites this paper.

PODNO: Proper Orthogonal Decomposition Neural Operators SPFNO: Spectral operator learning for PDEs with Dirichlet and Neumann boundary conditions

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-16T10:23:59.758766Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d46b254c-8681-47a1-af5d-5288a3fedb37 · inbound

Scale-Consistent Learning for Partial Differential Equations cites this paper.

Scale-Consistent Learning for Partial Differential Equations SPFNO: Spectral operator learning for PDEs with Dirichlet and Neumann boundary conditions

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-15T18:15:42.452473Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ff72ca87-a834-427e-9941-2cd57f5866e4 · inbound

Non-periodic Fourier propagation algorithms for partial differential equations cites this paper.

Non-periodic Fourier propagation algorithms for partial differential equations SPFNO: Spectral operator learning for PDEs with Dirichlet and Neumann boundary conditions

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-06T12:33:50.568974Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4644c243-cf82-4bd8-87cb-e761ef1c3a7f · inbound

Imposing Boundary Conditions on Neural Operators via Learned Function Extensions cites this paper.

Imposing Boundary Conditions on Neural Operators via Learned Function Extensions SPFNO: Spectral operator learning for PDEs with Dirichlet and Neumann boundary conditions

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-05-16T07:12:30.047954Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.