Paper Citation Record · LEDGER

Overlearning Reveals Sensitive Attributes

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:1905.11742.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
1905.11742 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:28:18.416985Z

measured 0 of 1 external citation measurements

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 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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+00:00.