Paper Citation Record · LEDGER

Privacy Side Channels in Machine Learning Systems

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2309.05610.

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

pith.paper-citation-record.v1
2309.05610 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T04:52:52.987084Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-08-09T10:29:51.306562Z

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 77798ef9-97dc-4ffd-a073-3a604672ecf1 · inbound

Establishing and Evaluating Trustworthy AI: Overview and Research Challenges cites this paper.

Establishing and Evaluating Trustworthy AI: Overview and Research Challenges Privacy Side Channels in Machine Learning Systems

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-12T20:09:19.975811Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a91edaf0-30e0-47ba-a5d7-4cc46651ee9a · inbound

Data Lineage Inference: Uncovering Privacy Vulnerabilities of Dataset Pruning cites this paper.

Data Lineage Inference: Uncovering Privacy Vulnerabilities of Dataset Pruning Privacy Side Channels in Machine Learning Systems

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-12T13:58:52.817729Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e8a8fa1d-2984-4f45-bdd1-d2a2ad54f320 · inbound

Large Language Model Adversarial Landscape Through the Lens of Attack Objectives cites this paper.

Large Language Model Adversarial Landscape Through the Lens of Attack Objectives Privacy Side Channels in Machine Learning Systems

Reference 21

Resolution: verified exact; local_arxiv, observed 2026-08-09T10:29:51.313274Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 6a8a2477-f1f3-4261-b1f2-b1e331b45e03 · inbound

Unlearning Sensitive Information in Multimodal LLMs: Benchmark and Attack-Defense Evaluation cites this paper.

Unlearning Sensitive Information in Multimodal LLMs: Benchmark and Attack-Defense Evaluation Privacy Side Channels in Machine Learning Systems

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-16T04:52:52.987084Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.