Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
DeepObliviate: A Powerful Charm for Erasing Data Residual Memory in Deep Neural Networks
As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2105.06209.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-12T18:42:45.574665Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-10T12:00:09.488579Z
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 c0a5089d-daa5-42d2-ab74-907b5de98683 · inbound
A Review on Machine Unlearning cites this paper.
A Review on Machine Unlearning DeepObliviate: A Powerful Charm for Erasing Data Residual Memory in Deep Neural Networks
Reference 40
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T18:42:45.574665Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8e3fead3-a37e-4c29-83a0-8c547b31a685 · inbound
Learning to Forget using Hypernetworks cites this paper.
Learning to Forget using Hypernetworks DeepObliviate: A Powerful Charm for Erasing Data Residual Memory in Deep Neural Networks
Reference 21
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T05:05:52.297125Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ef7de11a-3bcb-42cc-a0bd-b9a05860991a · inbound
FUNU: Boosting Machine Unlearning Efficiency by Filtering Unnecessary Unlearning cites this paper.
FUNU: Boosting Machine Unlearning Efficiency by Filtering Unnecessary Unlearning DeepObliviate: A Powerful Charm for Erasing Data Residual Memory in Deep Neural Networks
Reference 24
- Resolution
- verified exact
- local_arxiv, observed 2026-08-10T12:00:09.496637Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.