Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Backdoor Defense with Machine Unlearning
As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2201.09538.
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 2026-08-14T06:32:32.682623+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-12T18:42:45.434659Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-16T17:56:23.514076Z
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 51468a16-12df-4590-918d-f297f1144826 · inbound
SalUn: Empowering Machine Unlearning via Gradient-based Weight Saliency in Both Image Classification and Generation cites this paper.
SalUn: Empowering Machine Unlearning via Gradient-based Weight Saliency in Both Image Classification and Generation Backdoor Defense with Machine Unlearning
Reference 206
- Resolution
- verified exact
- arxiv_id, observed 2026-05-16T17:56:23.516520Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation ecc548f3-5069-40f3-8d17-ad1016d26434 · inbound
A Review on Machine Unlearning cites this paper.
A Review on Machine Unlearning Backdoor Defense with Machine Unlearning
Reference 2
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T18:42:45.434659Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fceb6f4c-a4fa-41c4-a96b-c6eea28977dd · inbound
Invisible Watermarks, Visible Gains: Steering Machine Unlearning with Bi-Level Watermarking Design cites this paper.
Invisible Watermarks, Visible Gains: Steering Machine Unlearning with Bi-Level Watermarking Design Backdoor Defense with Machine Unlearning
Reference 12
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T21:01:26.757224Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.