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Paper Citation Record · LEDGER

The Data Minimization Principle in Machine Learning

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2405.19471.

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

pith.paper-citation-record.v1
2405.19471 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T13:58:52.854462Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-19T08:22:11.142782Z

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 a8262505-75a2-46cb-a0e6-32bfa7cfe302 · inbound

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

Data Lineage Inference: Uncovering Privacy Vulnerabilities of Dataset Pruning The Data Minimization Principle in Machine Learning

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-12T13:58:52.854462Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T13:58:52.854462Z digest=sha256:e2ad84f0ad6488001a28173972faf185737e7928ca41073af71a9332d206bcf7

Observation e7299b53-9068-4b02-9a03-129702e35602 · 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 The Data Minimization Principle in Machine Learning

Reference 50

Resolution
verified exact
arxiv_id, observed 2026-05-19T08:22:11.145141Z

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.

source=pdf_text observed=2026-05-19T08:18:48.936867Z digest=sha256:424e21bc622a7f5e9362e62771db6c49f815b49dec43c385bd083a6a6b2a495c