Paper Citation Record · LEDGER

Incremental Spatial and Spectral Learning of Neural Operators for Solving Large-Scale PDEs

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2211.15188.

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

pith.paper-citation-record.v1
2211.15188 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T13:03:25.534956Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T18:41:10.985357Z

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 39aba0f6-b3e6-4cb8-b3b1-4936e0ba1fe5 · inbound

Quantum Circuit Training with Growth-Based Architectures cites this paper.

Quantum Circuit Training with Growth-Based Architectures Incremental Spatial and Spectral Learning of Neural Operators for Solving Large-Scale PDEs

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-12T13:03:25.534956Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4d65ee87-e03f-42a7-b864-87ed01b31a13 · inbound

A physics-informed transformer neural operator for learning generalized solutions of initial boundary value problems cites this paper.

A physics-informed transformer neural operator for learning generalized solutions of initial boundary value problems Incremental Spatial and Spectral Learning of Neural Operators for Solving Large-Scale PDEs

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-11T17:28:16.015621Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b68c64f1-bd3c-493c-97a7-4cca2749d8a0 · inbound

Principled Approaches for Extending Neural Architectures to Function Spaces for Operator Learning cites this paper.

Principled Approaches for Extending Neural Architectures to Function Spaces for Operator Learning Incremental Spatial and Spectral Learning of Neural Operators for Solving Large-Scale PDEs

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-07T04:19:39.200615Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2bde3204-4581-498b-a64b-98d4ab9ef5c2 · inbound

Localized FNO for Spatiotemporal Hemodynamic Upsampling in Aneurysm MRI cites this paper.

Localized FNO for Spatiotemporal Hemodynamic Upsampling in Aneurysm MRI Incremental Spatial and Spectral Learning of Neural Operators for Solving Large-Scale PDEs

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-06T16:19:41.159836Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation de59015c-c0f1-4a21-86d0-3d9a280d6d5a · inbound

Deep Wave Network for Modeling Multi-Scale Physical Dynamics cites this paper.

Deep Wave Network for Modeling Multi-Scale Physical Dynamics Incremental Spatial and Spectral Learning of Neural Operators for Solving Large-Scale PDEs

Reference 49

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T17:31:04.925807Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation c30f4d98-ba92-4613-b9fb-44798ef4be4a · inbound

Do Neural Operators Forget Geometry? The Forgetting Hypothesis in Deep Operator Learning cites this paper.

Do Neural Operators Forget Geometry? The Forgetting Hypothesis in Deep Operator Learning Incremental Spatial and Spectral Learning of Neural Operators for Solving Large-Scale PDEs

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-05-11T18:41:10.988977Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.