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Paper Citation Record · LEDGER

Small noise analysis for Tikhonov and RKHS regularizations

As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2305.11055.

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

pith.paper-citation-record.v1
2305.11055 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 2026-08-12T06:34:41.77262+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T17:12:22.182951Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T21:49:00.169573Z

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 dd3a1f3c-f7aa-431d-b384-d4d9152cc24d · inbound

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

Automatic reproducing kernel and regularization for learning convolution kernels Small noise analysis for Tikhonov and RKHS regularizations

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-06T17:12:22.182951Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:12:22.182951Z digest=sha256:3cd5ae509eebc8d02457f2a90f594bf878a457a91e53680dd56f2b786abd20eb

Observation f800a6e2-336a-468b-b0d8-10b149d00a88 · 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 Small noise analysis for Tikhonov and RKHS regularizations

Reference 28

Resolution
verified exact
arxiv_id, observed 2026-07-03T21:49:00.170807Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-06-27T00:05:04.299600Z digest=sha256:c58ffcf6f29d2f3ef7246a2ead9d49c5f520f2f676e6260e34e57ddbc8e116b5