Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:cs/0610105.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
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 2026-08-06T17:47:04.474201Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-07-03T04:47:38.140101Z
0 of 0 outbound references displayed
External citation measurements
No source-named external measurement is stored.
No outbound reference observations are available for this paper version.
Observation 8448e334-d28a-4f21-ae1c-4263dc0a4443 · inbound
Privacy Parameter Variation Using RAPPOR on a Malware Dataset How To Break Anonymity of the Netflix Prize Dataset
Reference 11
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.
Observation d7839b2e-2d68-42f8-8085-2bd3d8238def · inbound
A Common Pool of Privacy Problems: Legal and Technical Lessons from a Large-Scale Web-Scraped Machine Learning Dataset How To Break Anonymity of the Netflix Prize Dataset
Reference 94
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.
Observation cb314db6-31f7-4070-ac5a-584bb9e0a3a7 · inbound
Learning Private Representations through Entropy-based Adversarial Training How To Break Anonymity of the Netflix Prize Dataset
Reference 42
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b65e2734-f648-437e-a2f8-368ec1134e09 · inbound
On the (In-)Security of the Shuffling Defense in the Transformer Secure Inference How To Break Anonymity of the Netflix Prize Dataset
Reference 176
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.
Observation fe548b96-4cb1-4174-8822-f742a5abe602 · inbound
Inferring Sensitive Attributes from Knowledge Graph Embeddings: Attack and Defense Strategies How To Break Anonymity of the Netflix Prize Dataset
Reference 15
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.
Observation 60607cb2-7103-43ea-bf68-fdfc2ab00b16 · inbound
Minimax Private Estimation of Smooth Optimal-Transport Maps How To Break Anonymity of the Netflix Prize Dataset
Reference 82
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.
Observation f47b0f7a-e784-43e9-85d9-b84f46aa9f75 · inbound
Privacy-Preserving Credit Risk Prediction with Alternative Data How To Break Anonymity of the Netflix Prize Dataset
Reference 24
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.