Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Rethinking Privacy in Machine Learning Pipelines from an Information Flow Control Perspective
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2311.15792.
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 2026-08-06T21:19:44.369394Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-03T00:27:29.561089Z
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 4d585e0e-a578-4259-8490-d55d163ce25d · inbound
WebANNS: Fast and Efficient Approximate Nearest Neighbor Search in Web Browsers cites this paper.
WebANNS: Fast and Efficient Approximate Nearest Neighbor Search in Web Browsers Rethinking Privacy in Machine Learning Pipelines from an Information Flow Control Perspective
Reference 38
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T21:19:44.369394Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b9913443-f472-4c7e-a200-e103efb396fe · inbound
Benchmarking Empirical Privacy Protection for Adaptations of Large Language Models cites this paper.
Benchmarking Empirical Privacy Protection for Adaptations of Large Language Models Rethinking Privacy in Machine Learning Pipelines from an Information Flow Control Perspective
Reference 175
- Resolution
- verified exact
- arxiv_id, observed 2026-07-03T00:27:29.562734Z
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.