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Paper Citation Record · LEDGER

Large Scale Kernel Learning using Block Coordinate Descent

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1602.05310.

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

pith.paper-citation-record.v1
1602.05310 v1

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 2026-08-14T06:32:32.682623+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:46:18.184994Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T18:59:37.215058Z

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 7b456dcb-749c-4be3-9600-f3612d0d669b · inbound

Joker: Joint Optimization Framework for Lightweight Kernel Machines cites this paper.

Joker: Joint Optimization Framework for Lightweight Kernel Machines Large Scale Kernel Learning using Block Coordinate Descent

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-07T14:46:18.184994Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:46:18.184994Z digest=sha256:f8b1f72d4c55cc2a2b6fbfaef5f20d962f727780d2aaeb01a95454aa8f42ff82

Observation d7ab5994-adc5-40d8-8ba4-2cf05dbfecea · inbound

Scalable Gaussian Processes: Advances in Iterative Methods and Pathwise Conditioning cites this paper.

Scalable Gaussian Processes: Advances in Iterative Methods and Pathwise Conditioning Large Scale Kernel Learning using Block Coordinate Descent

Reference 97

Resolution
verified exact
local_arxiv, observed 2026-08-06T18:59:37.252227Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T18:59:34.020349Z digest=sha256:500175cf3a1fba4639b13d707f408498a0c935fe65db40332dee0a2c111828f7