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Paper Citation Record · LEDGER

How to DP-fy ML: A Practical Guide to Machine Learning with Differential Privacy

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2303.00654.

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

pith.paper-citation-record.v1
2303.00654 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 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 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T21:30:15.838186Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T21:36:15.472496Z

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 2e1bfbff-43c0-4b2f-9bfd-9a06b4a60566 · inbound

Differentially Private Policy Gradient cites this paper.

Differentially Private Policy Gradient How to DP-fy ML: A Practical Guide to Machine Learning with Differential Privacy

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-09T21:30:15.838186Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T21:30:15.838186Z digest=sha256:a357f2dfa542e327628f40766117ded2ef9496074e4a8d32fd482c596de9d68d

Observation 741acd3a-3f81-4c49-9a74-f3a9570dc770 · inbound

Differentially Private Datastore Generation for Retrieval-Augmented Inference cites this paper.

Differentially Private Datastore Generation for Retrieval-Augmented Inference How to DP-fy ML: A Practical Guide to Machine Learning with Differential Privacy

Reference 18

Resolution
verified exact
arxiv_id, observed 2026-07-01T21:36:15.473854Z

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.

source=pdf_text observed=2026-06-28T16:39:27.164341Z digest=sha256:03f5752d5351bdf81ba8603b69ec912f3b1b04e5b26f3a28ee12b5eeaf16cfe1

Observation 623d145c-691d-4478-b1c0-03dcab95835c · inbound

Probing Memorization of Tabular In-Context Learning cites this paper.

Probing Memorization of Tabular In-Context Learning How to DP-fy ML: A Practical Guide to Machine Learning with Differential Privacy

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-07-01T09:25:40.921679Z

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.

source=arxiv_source observed=2026-07-01T06:37:44.328625Z digest=sha256:71b95968d17d8a118a5ad3d1a6eeff6c8833b8ab37fb94c9ca0c9ff9dcdc61db