Paper Citation Record · LEDGER

Amnesiac Machine Learning

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2010.10981.

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

pith.paper-citation-record.v1
2010.10981 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 2026-08-19T06:32:44.657259+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T22:11:08.537588Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-09T22:34:07.388597Z

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 72950fa9-7eb0-44f8-a304-a0a84a988f85 · inbound

A Review on Machine Unlearning cites this paper.

A Review on Machine Unlearning Amnesiac Machine Learning

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-12T18:42:45.449949Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e3419f77-77da-43ef-bdd8-2365f457fe72 · inbound

Mirror Mirror on the Wall, Have I Forgotten it All? A New Framework for Evaluating Machine Unlearning cites this paper.

Mirror Mirror on the Wall, Have I Forgotten it All? A New Framework for Evaluating Machine Unlearning Amnesiac Machine Learning

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-15T22:11:08.537588Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dd6ccdc6-3b6f-4e39-aadd-ccb28a3c0c1d · inbound

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

How to Protect Models against Adversarial Unlearning? Amnesiac Machine Learning

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-06T17:26:32.345553Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 49dea8bd-03ec-4e41-96e7-a453f4951f31 · inbound

Separable Expert Architecture: Toward Privacy-Preserving LLM Personalization via Composable Adapters and Deletable User Proxies cites this paper.

Separable Expert Architecture: Toward Privacy-Preserving LLM Personalization via Composable Adapters and Deletable User Proxies Amnesiac Machine Learning

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-09T22:34:07.390224Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.