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Paper Citation Record · LEDGER

Fair Infinitesimal Jackknife: Mitigating the Influence of Biased Training Data Points Without Refitting

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2212.06803.

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

pith.paper-citation-record.v1
2212.06803 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 2026-08-07T06:34:17.273281+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T08:32:08.715803Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

5
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 7cc549e8-06f4-44d1-a528-0945c2d1d317 · inbound

Testing Most Influential Sets cites this paper.

Testing Most Influential Sets Fair Infinitesimal Jackknife: Mitigating the Influence of Biased Training Data Points Without Refitting

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-04T08:32:08.715803Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T08:32:08.715803Z digest=sha256:e357ccb0c6c15d3fcdc34e08844c336a8c35a00c5d67abc72321547819ced4f8

Observation 66179314-ef26-41bf-bb86-d721aeef6f67 · inbound

Finding Most Influential Sets cites this paper.

Finding Most Influential Sets Fair Infinitesimal Jackknife: Mitigating the Influence of Biased Training Data Points Without Refitting

Reference 49

Resolution
verified exact
arxiv_id, observed 2026-06-27T23:51:24.662322Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-06-27T23:50:18.893062Z digest=sha256:c511cd486c60b9f85c0fc078e720ed16b1c2ec6d85b061408cd2381ac413f874