Paper Citation Record · LEDGER

Minimax rates for learning kernels in operators

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2502.20368.

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

pith.paper-citation-record.v1
2502.20368 v2

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 2026-08-11T06:34:44.6726+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T21:25:59.624267Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T21:49:00.171888Z

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 c25c9781-7e6b-4323-b8e3-b139deb6b548 · inbound

Learning convolution operators on compact Abelian groups cites this paper.

Learning convolution operators on compact Abelian groups Minimax rates for learning kernels in operators

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-10T21:25:59.624267Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 07bd3e1f-9911-481c-9123-9b767c34739a · inbound

Automatic reproducing kernel and regularization for learning convolution kernels cites this paper.

Automatic reproducing kernel and regularization for learning convolution kernels Minimax rates for learning kernels in operators

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-06T17:12:23.632495Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2a55abc1-2ed5-4532-8b0f-2c7dbbda61e1 · inbound

Minimax Rates and Spectral Distillation for Tree Ensembles cites this paper.

Minimax Rates and Spectral Distillation for Tree Ensembles Minimax rates for learning kernels in operators

Reference 79

Resolution: verified exact; arxiv_id, observed 2026-05-13T05:32:19.277435Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 769948ef-10ab-4334-af4b-105331b3bb4e · inbound

When Rough Data Helps: A Phase Transition in Convergence Rates for Kernel Recovery in Integral Operators cites this paper.

When Rough Data Helps: A Phase Transition in Convergence Rates for Kernel Recovery in Integral Operators Minimax rates for learning kernels in operators

Reference 47

Resolution: verified exact; arxiv_id, observed 2026-07-03T21:49:00.173127Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.