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Paper Citation Record · LEDGER

Descent-to-Delete: Gradient-Based Methods for Machine Unlearning

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2007.02923.

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

pith.paper-citation-record.v1
2007.02923 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T19:14:53.702008Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-12T10:11:28.770028Z

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 4b20c1e0-aa67-4f89-8ba7-c5849a1762ed · inbound

Agents Are All You Need for LLM Unlearning cites this paper.

Agents Are All You Need for LLM Unlearning Descent-to-Delete: Gradient-Based Methods for Machine Unlearning

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-09T19:14:53.702008Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T19:14:53.702008Z digest=sha256:ce00bea5588fc2c85f6f89f6651c4e198514814d732f1fd30b5d89b9d3e3426c

Observation c490906c-5c82-4043-9629-f975fcc1ae1c · inbound

Machine Unlearning for Class Removal through SISA-based Deep Neural Network Architectures cites this paper.

Machine Unlearning for Class Removal through SISA-based Deep Neural Network Architectures Descent-to-Delete: Gradient-Based Methods for Machine Unlearning

Reference 20

Resolution
verified exact
arxiv_id, observed 2026-05-12T10:11:28.772169Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-07T07:03:27.414421Z digest=sha256:5e6b52e5f5e1b6691213f6aa0fa04c8681297f4158e41b3773a30a9d04e7f1da

Observation 4c10bc5d-86dd-4aa8-a693-7f5102e8ae40 · inbound

Unlearning as Distribution Restoration: A Controlled Counterfactual Study, a Validated Selective Screen, and the Limits of Oracle-Free Certification cites this paper.

Unlearning as Distribution Restoration: A Controlled Counterfactual Study, a Validated Selective Screen, and the Limits of Oracle-Free Certification Descent-to-Delete: Gradient-Based Methods for Machine Unlearning

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-01T14:11:43.516027Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T14:11:43.516027Z digest=sha256:a6be2fd0fda84f423184e76d7ebaee2312ec4a597ebe3289373dfd7af512cc84