Paper Citation Record · LEDGER

Tighter Confidence Bounds for Sequential Kernel Regression

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2403.12732.

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

pith.paper-citation-record.v1
2403.12732 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 2026-08-21T06:32:19.484+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:12:51.519588Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-22T00:44:29.232330Z

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 7a013d43-0e5d-4c34-8ba7-a144ba1898ca · inbound

Confidence Sequences for Generalized Linear Models via Regret Analysis cites this paper.

Confidence Sequences for Generalized Linear Models via Regret Analysis Tighter Confidence Bounds for Sequential Kernel Regression

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-16T11:12:51.519588Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 99b56138-3c06-43d5-af6f-f3b2c707c626 · inbound

Efficient kernelized bandit algorithms via exploration distributions cites this paper.

Efficient kernelized bandit algorithms via exploration distributions Tighter Confidence Bounds for Sequential Kernel Regression

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-07T04:46:00.900457Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5afaca90-d640-4f1b-ba5d-13ee881711b8 · inbound

Bernstein-type dimension-free concentration for self-normalised martingales cites this paper.

Bernstein-type dimension-free concentration for self-normalised martingales Tighter Confidence Bounds for Sequential Kernel Regression

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-05-22T00:44:29.235130Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation e631ec6b-25db-461f-905f-5aec14256bac · inbound

Vector-valued self-normalized concentration inequalities beyond sub-Gaussianity cites this paper.

Vector-valued self-normalized concentration inequalities beyond sub-Gaussianity Tighter Confidence Bounds for Sequential Kernel Regression

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-05-21T20:10:34.772155Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.