Pith. sign in

Paper Citation Record · LEDGER

Kernel Methods are Competitive for Operator Learning

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2304.13202.

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

pith.paper-citation-record.v1
2304.13202 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:27:44.083624Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-24T09:09:15.682173Z

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 e5e9df28-85d1-4c28-be9c-c6fb92feebe8 · inbound

Generative diffusion learning for parametric partial differential equations cites this paper.

Generative diffusion learning for parametric partial differential equations Kernel Methods are Competitive for Operator Learning

Reference 1

Resolution
verified exact
arxiv_id, observed 2026-05-24T09:09:15.684934Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-24T09:06:10.327568Z digest=sha256:90eacc14e667efc87fc3b0e22d1a5448a80179719a07437e208d59d1f2b7b734

Observation dc8ff351-e03c-4001-87bc-5a0ed9a63172 · inbound

Graph-Based Operator Learning from Limited Data on Irregular Domains cites this paper.

Graph-Based Operator Learning from Limited Data on Irregular Domains Kernel Methods are Competitive for Operator Learning

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-07T14:27:44.083624Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:27:44.083624Z digest=sha256:451eb3ee585cf8318790f5d9ddcd5e38f8246ee0f88d46558aa02c3345356a93