Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-02T21:27:38.374789Z
Paper Citation Record · LEDGER
Benchmarking Unlearning for Vision Transformers
As of 9 August 2026, this Paper Citation Record lists 3 of 3 outbound references and 0 inbound Pith citation observations for arXiv:2602.20114.
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 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
3 of 3 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved1
- parse uncertain0
- malformed identifier2
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 2c7e9daa-9bcc-4921-966b-eb5a9370be95 · outbound
This paper cites Retrain” modelsθ r as well as the respective “Unlearned.
Benchmarking Unlearning for Vision Transformers Retrain” modelsθ r as well as the respective “Unlearned
Reference 10
- Resolution
- malformed identifier
- no resolver link, observed 2026-08-02T21:27:38.374789Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3a5d0f8a-f051-4756-a48c-830505618d7c · outbound
This paper cites The WMDP Benchmark: Measuring and Reducing Malicious Use With Unlearning.
Benchmarking Unlearning for Vision Transformers The WMDP Benchmark: Measuring and Reducing Malicious Use With Unlearning
Reference 2023
- Resolution
- malformed identifier
- no resolver link, observed 2026-08-02T21:27:38.287467Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fc076f7f-2ea3-4736-8466-01ef2336da90 · outbound
This paper cites Distribution Density, Tails, and Outliers in Machine Learning: Metrics and Applications.
Benchmarking Unlearning for Vision Transformers Distribution Density, Tails, and Outliers in Machine Learning: Metrics and Applications
Reference 2024
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T21:27:38.210726Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Pith citing papers
No inbound Pith citation observations are available.