Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Overlearning Reveals Sensitive Attributes
As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:1905.11742.
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 2026-08-14T05:27:50.016453Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-12T08:31:23.602696Z
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 9b31a90f-2c63-4780-85eb-da684a40b181 · inbound
High Accuracy and High Fidelity Extraction of Neural Networks cites this paper.
High Accuracy and High Fidelity Extraction of Neural Networks Overlearning Reveals Sensitive Attributes
Reference 17
- Resolution
- unresolved
- no resolver link, observed 2026-08-14T05:27:50.016453Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 266116be-28df-4288-879b-33d3458e7273 · inbound
Multimodal Federated Learning: A Survey through the Lens of Different FL Paradigms cites this paper.
Multimodal Federated Learning: A Survey through the Lens of Different FL Paradigms Overlearning Reveals Sensitive Attributes
Reference 52
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T13:28:18.416985Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9917fa39-6100-495c-90eb-a2f6874294f7 · inbound
What's Privacy Good for? Measuring Privacy as a Shield from Harms due to Personal Data Use cites this paper.
What's Privacy Good for? Measuring Privacy as a Shield from Harms due to Personal Data Use Overlearning Reveals Sensitive Attributes
Reference 53
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T22:01:22.699214Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bb4afa71-3f1b-4554-9ad8-c1648f3c91a0 · inbound
Securing AI Systems: A Guide to Known Attacks and Impacts cites this paper.
Securing AI Systems: A Guide to Known Attacks and Impacts Overlearning Reveals Sensitive Attributes
Reference 84
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T21:50:28.898466Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7b46d55a-43e8-41db-8503-0d6093e0cbec · inbound
FLRSP: Privacy-Preserving Federated Learning Using Randomly Selected Model Parameters cites this paper.
FLRSP: Privacy-Preserving Federated Learning Using Randomly Selected Model Parameters Overlearning Reveals Sensitive Attributes
Reference 33
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T16:51:05.452963Z
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 15dda76d-8438-4652-b325-d1880999d4e6 · inbound
Private Vertical Federated Inference for Time-Series cites this paper.
Private Vertical Federated Inference for Time-Series Overlearning Reveals Sensitive Attributes
Reference 21
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T08:31:23.606860Z
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.