Paper Citation Record · LEDGER

Structure-Preserving Operator Learning

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2410.01065.

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

pith.paper-citation-record.v1
2410.01065 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T15:30:27.027119Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T04:26:35.455943Z

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 90d368d4-6b9c-4540-9962-968d5292e51f · inbound

Missing Physics Discovery through Fully Differentiable Finite Element-Based Machine Learning cites this paper.

Missing Physics Discovery through Fully Differentiable Finite Element-Based Machine Learning Structure-Preserving Operator Learning

Reference 9

Resolution: malformed identifier; no resolver link, observed 2026-08-06T15:30:27.027119Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7954c0fc-b65b-4d98-8989-5c7c251ebaf2 · inbound

Diffeomorphic Neural Operator Learning cites this paper.

Diffeomorphic Neural Operator Learning Structure-Preserving Operator Learning

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-05T22:39:54.608537Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 50a0628b-82d9-404c-97ce-dab921644b0c · inbound

Latent Dynamics Graph Convolutional Networks for model order reduction of parameterized time-dependent PDEs cites this paper.

Latent Dynamics Graph Convolutional Networks for model order reduction of parameterized time-dependent PDEs Structure-Preserving Operator Learning

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-03T10:12:36.916810Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c5288c48-9f4b-4112-9079-3a195e70a031 · inbound

Physics-guided correction for operator learning under model misspecification cites this paper.

Physics-guided correction for operator learning under model misspecification Structure-Preserving Operator Learning

Reference 46

Resolution: verified exact; arxiv_id, observed 2026-07-02T04:26:35.458023Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 6b23ad03-0b57-4968-b87a-9574a7180088 · inbound

Physics-guided correction for operator learning under model misspecification cites this paper.

Physics-guided correction for operator learning under model misspecification Structure-Preserving Operator Learning

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-04T00:39:31.046464Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.