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Paper Citation Record · LEDGER

Practical Privacy Filters and Odometers with R\'enyi Differential Privacy and Applications to Differentially Private Deep Learning

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2103.01379.

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

pith.paper-citation-record.v1
2103.01379 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:49:39.968126Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-19T10:47:14.817218Z

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 2033682d-dadd-49a4-a18a-bf9902a0966c · inbound

Optimizing Noise Distributions for Differential Privacy cites this paper.

Optimizing Noise Distributions for Differential Privacy Practical Privacy Filters and Odometers with R\'enyi Differential Privacy and Applications to Differentially Private Deep Learning

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-16T11:49:39.968126Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T11:49:39.968126Z digest=sha256:c7300882c89dcf495127ef3be5cda40435fc0450c089baa9590d8b97242921d2

Observation dec8ecce-a01e-48cf-8a16-16b0a47150aa · inbound

Big Bird: Resilient Privacy Budgeting Across Untrusted Web Domains cites this paper.

Big Bird: Resilient Privacy Budgeting Across Untrusted Web Domains Practical Privacy Filters and Odometers with R\'enyi Differential Privacy and Applications to Differentially Private Deep Learning

Reference 17

Resolution
verified exact
arxiv_id, observed 2026-05-19T10:47:14.820284Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-19T10:45:13.714718Z digest=sha256:0b55462ffc92d720d6a8c40e693232b7579dd02c8eb3ae8cdeb1cb28bae4d397

Observation e1b1455d-5089-4340-90b2-5ae071fb3e84 · inbound

Private Hyperparameter Tuning with Ex-Post Guarantee cites this paper.

Private Hyperparameter Tuning with Ex-Post Guarantee Practical Privacy Filters and Odometers with R\'enyi Differential Privacy and Applications to Differentially Private Deep Learning

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-05T18:18:50.256694Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T18:18:50.256694Z digest=sha256:c57d3b67e1093322a5c4b527783fdea7b4d0c98136b336e2277545e60f3e756d

Observation d2b1b390-3356-4394-9c42-552efb4e79f7 · inbound

Accuracy-First R\'enyi Differential Privacy and Post-Processing Immunity cites this paper.

Accuracy-First R\'enyi Differential Privacy and Post-Processing Immunity Practical Privacy Filters and Odometers with R\'enyi Differential Privacy and Applications to Differentially Private Deep Learning

Reference 2021

Resolution
unresolved
no resolver link, observed 2026-08-15T15:53:36.017016Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T15:53:36.017016Z digest=sha256:263ac0275a1250ed5de8995a9a670a097732260e7e7a2b37ed590ec9e252acf1

Observation 02b19123-23b6-4f6d-9e13-ee026aac3176 · inbound

Realisation-Level Privacy Filtering cites this paper.

Realisation-Level Privacy Filtering Practical Privacy Filters and Odometers with R\'enyi Differential Privacy and Applications to Differentially Private Deep Learning

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-05-11T06:41:33.867645Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-10T17:29:49.412409Z digest=sha256:7b512c23154eb80dd7ba1be9b947b5825044cf8dce730cfc24d581eda7542d8b