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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 9 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 9 of 9 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 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T15:44:00.668013Z

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

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  • verified fuzzy0
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  • malformed identifier0
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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.

source=pdf_text observed=2026-05-23T17:18:22.300467Z digest=sha256:1e1a73669e7c8647f790fba4d7318adce01dbfa61fe4244c1e6ee8d5e6c0604a

Observation deb66e0a-ea60-468a-8900-eeebdf981fab · inbound

Hyperparameters in Score-Based Membership Inference Attacks cites this paper.

Hyperparameters in Score-Based Membership Inference Attacks Toward Training at ImageNet Scale with Differential Privacy

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-08T15:44:00.668013Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T15:44:00.668013Z digest=sha256:24fadf589e4d3c24c008f6b87a069d78508e3e2162c074b5f53a6adf735863f9

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.

source=pdf_text observed=2026-05-22T02:50:09.196457Z digest=sha256:a2b5a295057a9f1b6b7cb637dbc3b0cf013a17a4f172b7b492e5f207b91f8025

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.

source=pdf_text observed=2026-08-07T05:21:07.622647Z digest=sha256:52dd8238b106c969c63f36edab456e82cca26a2cead085fc4c83a7a6c2cd46ee

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.

source=arxiv_source observed=2026-08-06T14:56:03.972461Z digest=sha256:c1c27db087883807b0ffe0edbeb32fa27f0ffbdc6681e9866281cc9a353b52c4

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.

source=arxiv_source observed=2026-08-04T11:24:33.364120Z digest=sha256:62f8ae89f30eb8dcff7a90bf84bc58e98f549e70dedab05bd1812ecdc265b68b

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.

source=pdf_text observed=2026-05-16T13:37:50.765735Z digest=sha256:5878376e65b5e03e41fc0b6d983c071fcc5f9a840f3af7a777a01b9c1e46cbbb

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.

source=pdf_text observed=2026-08-03T07:37:44.575083Z digest=sha256:8c9bb7ccd46e4a00a1de923d153cc22ba8893a5b0f1514a13c8c7727747ca094

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.

source=pdf_text observed=2026-05-07T13:07:53.564066Z digest=sha256:3bce6651f8aa0f551c0b58a024b51deb274b874ae6712e061611e78b003c50fa