Paper Citation Record · LEDGER

Toward Training at ImageNet Scale with Differential Privacy

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2201.12328.

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

pith.paper-citation-record.v1
2201.12328 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 2026-08-08T06:32:00.761636+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:21:07.622647Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T17:23:15.442913Z

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 375a1069-d6c2-4c12-8bd2-eb892b9f78e7 · inbound

Privacy Leakage via Output Label Space and Differentially Private Continual Learning cites this paper.

Privacy Leakage via Output Label Space and Differentially Private Continual Learning Toward Training at ImageNet Scale with Differential Privacy

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-23T17:23:15.446378Z

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 f6c4a4ce-299a-4ae2-adc1-1d748e326c40 · inbound

High-Dimensional Private Linear Regression with Optimal Rates cites this paper.

High-Dimensional Private Linear Regression with Optimal Rates Toward Training at ImageNet Scale with Differential Privacy

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-05-22T02:50:58.314431Z

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 2bf75c8c-3793-49f2-b04a-e818d50d5c92 · inbound

Boosting Gradient Leakage Attacks: Data Reconstruction in Realistic FL Settings cites this paper.

Boosting Gradient Leakage Attacks: Data Reconstruction in Realistic FL Settings Toward Training at ImageNet Scale with Differential Privacy

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-07T05:21:07.622647Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c25713c9-bbf6-4dce-97ae-7a818bd0007a · inbound

Lower Bounds for Public-Private Learning under Distribution Shift cites this paper.

Lower Bounds for Public-Private Learning under Distribution Shift Toward Training at ImageNet Scale with Differential Privacy

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-06T14:56:03.972461Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 87dfe996-15d5-4851-b1a6-c04e1fc5fa2f · inbound

Correlating Cross-Iteration Noise for DP-SGD using Model Curvature cites this paper.

Correlating Cross-Iteration Noise for DP-SGD using Model Curvature Toward Training at ImageNet Scale with Differential Privacy

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-04T11:24:33.364120Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 82594f9d-07d7-4fdd-9745-09b27be53181 · inbound

Fundamental Limitations of Favorable Privacy-Utility Guarantees for DP-SGD cites this paper.

Fundamental Limitations of Favorable Privacy-Utility Guarantees for DP-SGD Toward Training at ImageNet Scale with Differential Privacy

Reference 44

Resolution: verified exact; arxiv_id, observed 2026-05-16T13:37:56.500209Z

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 5022a9b7-e608-4f6c-99fe-bd5752449bc2 · inbound

The pretraining domain outweighs the training objective in setting the privacy-utility trade-off of differentially private medical image analysis cites this paper.

The pretraining domain outweighs the training objective in setting the privacy-utility trade-off of differentially private medical image analysis Toward Training at ImageNet Scale with Differential Privacy

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-03T07:37:44.575083Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1fb6ccd2-daa6-4982-b14b-1f30f0cf525e · inbound

Differentially Private Contrastive Learning via Bounding Group-level Contribution cites this paper.

Differentially Private Contrastive Learning via Bounding Group-level Contribution Toward Training at ImageNet Scale with Differential Privacy

Reference 29

Resolution: verified exact; arxiv_id, observed 2026-05-12T09:06:25.027864Z

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.