Paper Citation Record · LEDGER

How To Break Anonymity of the Netflix Prize Dataset

As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:cs/0610105.

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

pith.paper-citation-record.v1
cs/0610105 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T12:24:34.394695Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-03T04:47:38.140101Z

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 8448e334-d28a-4f21-ae1c-4263dc0a4443 · inbound

Privacy Parameter Variation Using RAPPOR on a Malware Dataset cites this paper.

Privacy Parameter Variation Using RAPPOR on a Malware Dataset How To Break Anonymity of the Netflix Prize Dataset

Reference 11

Resolution: metadata mismatch; local_arxiv, observed 2026-05-24T16:59:42.490165Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 974e31cb-6d02-4328-8537-f0f6c8e040c9 · inbound

Differentially Private Multi-objective Selection: Pareto and Aggregation Approaches cites this paper.

Differentially Private Multi-objective Selection: Pareto and Aggregation Approaches How To Break Anonymity of the Netflix Prize Dataset

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-11T12:24:34.394695Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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 cites this paper.

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

Resolution: verified exact; local_arxiv, observed 2026-05-19T08:22:11.135165Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation cb314db6-31f7-4070-ac5a-584bb9e0a3a7 · inbound

Learning Private Representations through Entropy-based Adversarial Training cites this paper.

Learning Private Representations through Entropy-based Adversarial Training How To Break Anonymity of the Netflix Prize Dataset

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-06T17:47:04.474201Z

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 cites this paper.

On the (In-)Security of the Shuffling Defense in the Transformer Secure Inference How To Break Anonymity of the Netflix Prize Dataset

Reference 176

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T17:36:06.552213Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation fe548b96-4cb1-4174-8822-f742a5abe602 · inbound

Inferring Sensitive Attributes from Knowledge Graph Embeddings: Attack and Defense Strategies cites this paper.

Inferring Sensitive Attributes from Knowledge Graph Embeddings: Attack and Defense Strategies How To Break Anonymity of the Netflix Prize Dataset

Reference 15

Resolution: verified exact; local_arxiv, observed 2026-05-20T05:03:03.743397Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 60607cb2-7103-43ea-bf68-fdfc2ab00b16 · inbound

Minimax Private Estimation of Smooth Optimal-Transport Maps cites this paper.

Minimax Private Estimation of Smooth Optimal-Transport Maps How To Break Anonymity of the Netflix Prize Dataset

Reference 82

Resolution: verified exact; local_arxiv, observed 2026-07-02T11:16:53.895229Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation f47b0f7a-e784-43e9-85d9-b84f46aa9f75 · inbound

Privacy-Preserving Credit Risk Prediction with Alternative Data cites this paper.

Privacy-Preserving Credit Risk Prediction with Alternative Data How To Break Anonymity of the Netflix Prize Dataset

Reference 24

Resolution: metadata mismatch; local_arxiv, observed 2026-07-03T04:47:38.141532Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.