Pith. sign in

Paper Citation Record · LEDGER

Kernel Dependence Regularizers and Gaussian Processes with Applications to Algorithmic Fairness

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1911.04322.

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

pith.paper-citation-record.v1
1911.04322 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 2026-08-10T06:31:04.303077+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T18:31:20.774165Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T10:13:17.752195Z

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 0231333e-e5a7-4be0-a528-b36b1f0fae29 · inbound

Machine Unlearning via Information Theoretic Regularization cites this paper.

Machine Unlearning via Information Theoretic Regularization Kernel Dependence Regularizers and Gaussian Processes with Applications to Algorithmic Fairness

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-08T18:31:20.774165Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T18:31:20.774165Z digest=sha256:e9c11ac2d465a21373836df267d2b4d9a8b363316bbe65f657f9f7dfa4b3d7d8

Observation 35e5ea13-bc33-4891-8284-4c0aa1dcbb67 · inbound

Geometry of Relaxed Fair Regression: A Unified Framework for Aware and Unaware Settings cites this paper.

Geometry of Relaxed Fair Regression: A Unified Framework for Aware and Unaware Settings Kernel Dependence Regularizers and Gaussian Processes with Applications to Algorithmic Fairness

Reference 27

Resolution
verified exact
arxiv_id, observed 2026-06-29T10:13:17.753744Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-29T10:09:41.727425Z digest=sha256:75bf317685479d63b045b75231255c08418e41c169ce62488d037bbab26fefdb