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Paper Citation Record · LEDGER

An Introduction to Machine Unlearning

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2209.00939.

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

pith.paper-citation-record.v1
2209.00939 v1

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 2026-08-09T06:31:02.800959+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T17:26:34.050902Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-24T01:13:42.678795Z

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 e56d5dab-4380-4ad4-ba84-93fe89e9cebb · inbound

Machine Unlearning: A Comprehensive Survey cites this paper.

Machine Unlearning: A Comprehensive Survey An Introduction to Machine Unlearning

Reference 116

Resolution
verified exact
arxiv_id, observed 2026-05-24T01:13:42.680866Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-24T01:13:26.620111Z digest=sha256:f9d8d60fe82698830b9f240f34099ff7080d61908a79b21315e289bbb00dd777

Observation 646d4dea-730a-42cd-9643-5a802394af3c · inbound

Towards Certified Unlearning for Deep Neural Networks cites this paper.

Towards Certified Unlearning for Deep Neural Networks An Introduction to Machine Unlearning

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-05-23T22:03:30.813423Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-23T21:59:59.421179Z digest=sha256:8aa51a500eefe52174fd525482dd437bc3aec80af901fbbdc1b850d836c8a160

Observation b66fca1d-4eca-49b9-aa77-63fd8e4a2d3c · inbound

Towards Reliable Forgetting: A Survey on Machine Unlearning Verification cites this paper.

Towards Reliable Forgetting: A Survey on Machine Unlearning Verification An Introduction to Machine Unlearning

Reference 78

Resolution
verified exact
arxiv_id, observed 2026-05-19T09:37:14.147395Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-19T09:35:00.520860Z digest=sha256:79494251f8ffbae5780287ced7c010673f155a0ccf5c9044eeb1e9b5b52cf35d

Observation e66efcbe-fa0a-4241-bf04-2b93ebabd54f · inbound

How to Protect Models against Adversarial Unlearning? cites this paper.

How to Protect Models against Adversarial Unlearning? An Introduction to Machine Unlearning

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-06T17:26:34.050902Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:26:34.050902Z digest=sha256:421f69b7e612a9539a69fd0959eff17e7b4e45dcd90bdc48aa189377fcfe9d25