Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
FUNU: Boosting Machine Unlearning Efficiency by Filtering Unnecessary Unlearning
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2501.16614.
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 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-03T18:28:32.408652Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-22T13:31:36.621825Z
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 31578707-12fc-4a07-bddf-7764acdd87e9 · inbound
Unlearning Isn't Deletion: Investigating Reversibility of Machine Unlearning in LLMs cites this paper.
Unlearning Isn't Deletion: Investigating Reversibility of Machine Unlearning in LLMs FUNU: Boosting Machine Unlearning Efficiency by Filtering Unnecessary Unlearning
Reference 22
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T13:31:36.624287Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation d7f163fe-f2a6-4d42-88b5-8549dce692d3 · inbound
When unlearning is free: leveraging low influence points to reduce computational costs cites this paper.
When unlearning is free: leveraging low influence points to reduce computational costs FUNU: Boosting Machine Unlearning Efficiency by Filtering Unnecessary Unlearning
Reference 2025
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T18:28:32.408652Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.