Paper Citation Record · LEDGER

Data Complexity Estimates for Operator Learning

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2405.15992.

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

pith.paper-citation-record.v1
2405.15992 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T04:19:41.088017Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T00:56:24.110493Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
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malformed identifier0
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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 2d0dcf55-f5c7-4454-b08c-9947d0646a16 · 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 Data Complexity Estimates for Operator Learning

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-07T04:19:41.088017Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a3861025-35b2-43fc-b11f-3840e480a0e3 · inbound

Diffeomorphic Neural Operator Learning cites this paper.

Diffeomorphic Neural Operator Learning Data Complexity Estimates for Operator Learning

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-05T22:39:54.592519Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c1a64b4d-f0da-49f5-bd99-028b47c046f7 · inbound

Fourier Neural Operators for Time-Periodic Quantum Systems: Learning Floquet Hamiltonians, Observable Dynamics, and Operator Growth cites this paper.

Fourier Neural Operators for Time-Periodic Quantum Systems: Learning Floquet Hamiltonians, Observable Dynamics, and Operator Growth Data Complexity Estimates for Operator Learning

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-04T22:56:16.231974Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 170b8d2a-2b23-4a2c-a80f-5ada819f1b8d · inbound

A short tour of operator learning theory: Convergence rates, statistical limits, and open questions cites this paper.

A short tour of operator learning theory: Convergence rates, statistical limits, and open questions Data Complexity Estimates for Operator Learning

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-02T19:58:41.987775Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2e69c550-9af9-4aaa-b5c5-9d4cdec56f4e · inbound

Is Zero-Shot Super-Resolution Possible in Operator Learning? cites this paper.

Is Zero-Shot Super-Resolution Possible in Operator Learning? Data Complexity Estimates for Operator Learning

Reference 52

Resolution: verified exact; arxiv_id, observed 2026-06-28T19:52:35.022506Z

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 6ce68aa8-094d-4269-baa9-e4fa31e879a6 · inbound

Efficient Approximation for Encoder--Decoder Neural Operators via Variation Spaces cites this paper.

Efficient Approximation for Encoder--Decoder Neural Operators via Variation Spaces Data Complexity Estimates for Operator Learning

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-07-01T21:46:15.423201Z

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 f9e5bf5c-2538-4ad8-bcc8-708e4f28707b · inbound

Transpose-free linear algebra cites this paper.

Transpose-free linear algebra Data Complexity Estimates for Operator Learning

Reference 48

Resolution: verified exact; arxiv_id, observed 2026-07-01T21:46:15.459398Z

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 0e96bbc4-2f41-49c6-b85b-c5a603ad512b · inbound

From Spectral Methods to Sample Complexity Bounds for Fourier Neural Operators cites this paper.

From Spectral Methods to Sample Complexity Bounds for Fourier Neural Operators Data Complexity Estimates for Operator Learning

Reference 34

Resolution: verified exact; arxiv_id, observed 2026-07-02T00:56:24.119070Z

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.