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Paper Citation Record · LEDGER

Deep Regression Unlearning

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2210.08196.

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

pith.paper-citation-record.v1
2210.08196 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 2026-08-07T06:34:17.273281+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T20:23:43.221873Z

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

8
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 2ad5b21f-e0dc-45a6-b478-74c46fa4cf1e · inbound

NOVO: Unlearning-Compliant Vision Transformers cites this paper.

NOVO: Unlearning-Compliant Vision Transformers Deep Regression Unlearning

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-06T20:23:43.221873Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:23:43.221873Z digest=sha256:80375f3721397139bb64b8d37cb470597ad13369b3ace9ac8bf1b28856702135

Observation 76a6ab18-8351-4b36-a7da-c1ae41ca4725 · inbound

Unlearning with Asymmetric Sources: Improved Unlearning-Utility Trade-off with Public Data cites this paper.

Unlearning with Asymmetric Sources: Improved Unlearning-Utility Trade-off with Public Data Deep Regression Unlearning

Reference 74

Resolution
verified exact
arxiv_id, observed 2026-05-13T05:57:21.767569Z

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=2026-05-13T05:56:38.042978Z digest=sha256:5137ab56db539dfb04e5b5b28c05abd6c2d667116211488e5d5584eccdbcc713