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Paper Citation Record · LEDGER

Unlocking High-Accuracy Differentially Private Image Classification through Scale

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 31 inbound Pith citation observations for arXiv:2204.13650.

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

pith.paper-citation-record.v1
2204.13650 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 31 of 31 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 31 of 31 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T15:44:00.706713Z

measured 1 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

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External citation measurements

34
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 784c8294-992d-47e1-afd7-91290b598222 · 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 Unlocking High-Accuracy Differentially Private Image Classification through Scale

Reference 14

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arxiv_id, observed 2026-05-23T17:23:15.464901Z

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=sha256:6a3b9493599e2c27be0379e0911b7d93a40b7af83cc0560e9b3e8081f3a37fd9

Observation 3c8f92c1-0617-48ba-b264-7eaa3d7e41f8 · inbound

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

Hyperparameters in Score-Based Membership Inference Attacks Unlocking High-Accuracy Differentially Private Image Classification through Scale

Reference 32

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no resolver link, observed 2026-08-08T15:44:00.706713Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T15:44:00.706713Z digest=sha256:4e6a72e06e11758588597343f6980da83fa41f0c28d297fd1f9393a5d1cdcde5

Observation c1c958e7-f99a-485e-8294-e6b1f52ac13c · inbound

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

High-Dimensional Private Linear Regression with Optimal Rates Unlocking High-Accuracy Differentially Private Image Classification through Scale

Reference 9

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arxiv_id, observed 2026-05-22T02:50:58.355872Z

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:d235c42c75e607bb8ee609e386948d928e6c1f99a38b2b3763f10aa28343a715

Observation 6c9c3cc9-34ca-409a-9658-811e3abd1339 · inbound

Adapting to Linear Separable Subsets with Large-Margin in Differentially Private Learning cites this paper.

Adapting to Linear Separable Subsets with Large-Margin in Differentially Private Learning Unlocking High-Accuracy Differentially Private Image Classification through Scale

Reference 11

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no resolver link, observed 2026-08-07T12:35:36.375081Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:35:36.375081Z digest=sha256:1feef56c7319587c69feeecbece8df8e1e40d95c7f5156d59c7682e5c5d985bd

Observation f73a7de6-34a6-4361-9c67-393216bf1c97 · inbound

Mitigating Disparate Impact of Differentially Private Learning through Bounded Adaptive Clipping cites this paper.

Mitigating Disparate Impact of Differentially Private Learning through Bounded Adaptive Clipping Unlocking High-Accuracy Differentially Private Image Classification through Scale

Reference 7

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no resolver link, observed 2026-08-07T11:52:50.679040Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T11:52:50.679040Z digest=sha256:102f33fe90560df3ddb81ff92fe5dc35577706eec7819af5e1e90364a5b6cc38

Observation e559da29-8326-4b8b-a1db-171629dbee71 · inbound

Memory-Efficient Differentially Private Training with Gradient Random Projection cites this paper.

Memory-Efficient Differentially Private Training with Gradient Random Projection Unlocking High-Accuracy Differentially Private Image Classification through Scale

Reference 6

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verified exact
arxiv_id, observed 2026-05-21T23:50:47.477203Z

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=2026-05-21T23:46:54.620034Z digest=sha256:8f063727a7feaafeb2d1cc8f4d8d809e01056af4dd723ca900ba79c3ad25060d

Observation c7911ebe-fd40-4a64-8789-34615d912db4 · inbound

UniAud: A Unified Auditing Framework for High Auditing Power and Utility with One Training Run cites this paper.

UniAud: A Unified Auditing Framework for High Auditing Power and Utility with One Training Run Unlocking High-Accuracy Differentially Private Image Classification through Scale

Reference 37

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no resolver link, observed 2026-08-06T19:55:22.383187Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:55:22.383187Z digest=sha256:90313b870350e23aa8d5aecbccd5e0cdb3e270de73dcd914fd5c053a65c3eaa6

Observation dc0524fd-a423-48a6-b5a9-f1ca69f309b5 · inbound

Implementing Adaptations for Vision AutoRegressive Model cites this paper.

Implementing Adaptations for Vision AutoRegressive Model Unlocking High-Accuracy Differentially Private Image Classification through Scale

Reference 7

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no resolver link, observed 2026-08-06T17:12:32.873379Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T17:12:32.873379Z digest=sha256:9b1f08f18badaf46ffaf80baf3f6661d77894594fdee7456eed2269fff8a59c3

Observation b05eb3d5-bd76-40df-a0df-b8a017f1cfaf · inbound

Optimizing Canaries for Privacy Auditing with Metagradient Descent cites this paper.

Optimizing Canaries for Privacy Auditing with Metagradient Descent Unlocking High-Accuracy Differentially Private Image Classification through Scale

Reference 1565

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no resolver link, observed 2026-08-06T15:29:28.717014Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:29:28.717014Z digest=sha256:bbab6593a8b83be837a9aaf4f41649e718b8f256f233e015e01a30ca433dee53

Observation e559fc72-b0a9-451e-87e7-ae39280f09b4 · inbound

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

Lower Bounds for Public-Private Learning under Distribution Shift Unlocking High-Accuracy Differentially Private Image Classification through Scale

Reference 15

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no resolver link, observed 2026-08-06T14:56:03.933205Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T14:56:03.933205Z digest=sha256:5d793ddf4943841af102daab487cab8072797333d78e83d8ca937dfe627dd43b

Observation aeb2d9ee-f747-4cc7-ad79-38ac9184803c · inbound

DPQuant: Efficient and Differentially-Private Model Training via Dynamic Quantization Scheduling cites this paper.

DPQuant: Efficient and Differentially-Private Model Training via Dynamic Quantization Scheduling Unlocking High-Accuracy Differentially Private Image Classification through Scale

Reference 12

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arxiv_id, observed 2026-05-18T19:11:46.579735Z

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=2026-05-18T19:09:04.217591Z digest=sha256:92404aee4c36c034ec7936cdf1f3853a3dcb2cb4e53db723c28eb6cab0f9b3c2

Observation 8b2df39a-06f5-4ad6-8a35-d1a6287e47df · inbound

An Interactive Framework for Finding the Optimal Trade-off in Differential Privacy cites this paper.

An Interactive Framework for Finding the Optimal Trade-off in Differential Privacy Unlocking High-Accuracy Differentially Private Image Classification through Scale

Reference 15

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no resolver link, observed 2026-08-05T10:22:24.103261Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T10:22:24.103261Z digest=sha256:b734f98e3e2ee17599ec41e890f39089e40ee1b0a1fa91c2d99642c809df542c

Observation d5b44236-8306-4ac9-9af4-9c7d873f8b74 · inbound

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

Correlating Cross-Iteration Noise for DP-SGD using Model Curvature Unlocking High-Accuracy Differentially Private Image Classification through Scale

Reference 15

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no resolver link, observed 2026-08-04T11:24:31.040676Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T11:24:31.040676Z digest=sha256:25362e8ffc78e6d174336e58c7af3976cceeddd1ab776dc3e50aac121a4445e7

Observation 76fc33f9-895e-4cf7-82ee-a6a087d09e55 · inbound

On Optimal Hyperparameters for Differentially Private Deep Transfer Learning cites this paper.

On Optimal Hyperparameters for Differentially Private Deep Transfer Learning Unlocking High-Accuracy Differentially Private Image Classification through Scale

Reference 4

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arxiv_id, observed 2026-05-18T04:40:52.709731Z

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=2026-05-18T04:40:50.449894Z digest=sha256:d4cce0567624f7ddede95913ae86ee62f3753909065000b2c887e4f3f8aa45c1

Observation 49f0e3a9-21b5-4e79-8602-816320545495 · inbound

Beyond Membership: Limitations of Add/Remove Adjacency in Differential Privacy cites this paper.

Beyond Membership: Limitations of Add/Remove Adjacency in Differential Privacy Unlocking High-Accuracy Differentially Private Image Classification through Scale

Reference 6

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verified exact
arxiv_id, observed 2026-05-17T04:41:31.425044Z

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=2026-05-17T04:41:22.733999Z digest=sha256:3ce2581801f2ab447dc1ba8bc4bbee1c4c81424fc361e0e3f048bef71019b4cc

Observation cde1eea5-f245-4bbe-9cb6-5e75e302ba05 · inbound

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

Fundamental Limitations of Favorable Privacy-Utility Guarantees for DP-SGD Unlocking High-Accuracy Differentially Private Image Classification through Scale

Reference 18

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arxiv_id, observed 2026-05-16T13:37:56.539090Z

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=sha256:4c94c4ad63bfc6047ede5a75bcf651ee65effb92cd73d55753f9a5514610769b

Observation e666eafe-2b87-4549-a6d9-7480560cdd6e · 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 Unlocking High-Accuracy Differentially Private Image Classification through Scale

Reference 6

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no resolver link, observed 2026-08-03T07:37:44.327539Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T07:37:44.327539Z digest=sha256:724b398464bc632e3ae9c381d04b0499b9de63151381f0a6fd0e0d97cf53dc58

Observation ac02e098-9f64-489b-80f2-68996f102f63 · inbound

Sequential Auditing for f-Differential Privacy cites this paper.

Sequential Auditing for f-Differential Privacy Unlocking High-Accuracy Differentially Private Image Classification through Scale

Reference 16

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no resolver link, observed 2026-08-03T03:59:22.277935Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T03:59:22.277935Z digest=sha256:a0eda97d0a8680a5fd570c16455013284e5b1e6bca81c869c30279be415c2eb5

Observation 7c143b87-5c1c-46e8-a081-71f763ea5488 · inbound

Cyclic Adaptive Private Synthesis for Sharing Real-World Data in Education cites this paper.

Cyclic Adaptive Private Synthesis for Sharing Real-World Data in Education Unlocking High-Accuracy Differentially Private Image Classification through Scale

Reference 12

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arxiv_id, observed 2026-05-16T06:17:26.574099Z

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=2026-05-16T06:13:59.231151Z digest=sha256:2015e5e6021912e2858a5c6c888b968d5eb3804f12a71d1347880c6c358013f8

Observation 8c9d8e9d-98e4-4100-9510-9c60a8338f51 · inbound

DPrivBench: Benchmarking LLMs' Reasoning for Differential Privacy cites this paper.

DPrivBench: Benchmarking LLMs' Reasoning for Differential Privacy Unlocking High-Accuracy Differentially Private Image Classification through Scale

Reference 10

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verified exact
arxiv_id, observed 2026-05-10T08:58:13.072307Z

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=2026-05-10T08:53:13.427364Z digest=sha256:aedf97dce5bfb98f27828eadc06ded821980d91878d15440960f1b81a16d05d4

Observation 1c062a6c-0239-4caf-99dc-8303ff0729ce · inbound

DPrivBench: Benchmarking LLMs' Reasoning for Differential Privacy cites this paper.

DPrivBench: Benchmarking LLMs' Reasoning for Differential Privacy Unlocking High-Accuracy Differentially Private Image Classification through Scale

Reference 10

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arxiv_id, observed 2026-05-21T00:53:53.545264Z

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=2026-05-21T00:50:11.410735Z digest=sha256:99160944a0f3140b6fb8608271bd00b24b957992ee36b8243fd5a3b9659277a5

Observation 2d891107-263f-4f43-b73f-05e8b843d26a · inbound

FIBER: A Differentially Private Optimizer with Filter-Aware Innovation Bias Correction cites this paper.

FIBER: A Differentially Private Optimizer with Filter-Aware Innovation Bias Correction Unlocking High-Accuracy Differentially Private Image Classification through Scale

Reference 31

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arxiv_id, observed 2026-05-12T10:41:30.523644Z

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=arxiv_source observed=2026-05-07T04:14:15.586233Z digest=sha256:1fddf80e63b36171f94779f2f8eb0dfff61156db9cafd68f0773d97d8b7feddf

Observation 8d850849-34a9-4881-8a0e-b2f4b327b4f3 · inbound

FIBER: A Differentially Private Optimizer with Filter-Aware Innovation Bias Correction cites this paper.

FIBER: A Differentially Private Optimizer with Filter-Aware Innovation Bias Correction Unlocking High-Accuracy Differentially Private Image Classification through Scale

Reference 43

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arxiv_id, observed 2026-05-09T05:20:12.823262Z

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=arxiv_source observed=2026-05-07T04:14:15.586233Z digest=sha256:b0a480ce8479f9b5dd5577f745e08ea25b0e68f013fce5b1394d03805122b39c

Observation c54b905a-2628-4389-9988-c5a434dc8625 · inbound

PACZero: PAC-Private Fine-Tuning of Language Models via Sign Quantization cites this paper.

PACZero: PAC-Private Fine-Tuning of Language Models via Sign Quantization Unlocking High-Accuracy Differentially Private Image Classification through Scale

Reference 14

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arxiv_id, observed 2026-05-11T19:06:12.166664Z

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=2026-05-08T12:33:11.872532Z digest=sha256:e23ee6b92f0b33159f81a34f3b233d91e327c3a6e41c80bc780366c27a3e8b93

Observation de4412d6-ee5d-4e2f-9e0a-4858569bc1cd · inbound

PACZero: PAC-Private Fine-Tuning of Language Models via Sign Quantization cites this paper.

PACZero: PAC-Private Fine-Tuning of Language Models via Sign Quantization Unlocking High-Accuracy Differentially Private Image Classification through Scale

Reference 13

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verified exact
arxiv_id, observed 2026-07-01T13:25:45.391336Z

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=2026-06-30T23:17:50.401236Z digest=sha256:6ec7bc03221d6e959549b63aeaa791a13309ea46441eb7e4cf607870578bdcbf

Observation 9561bb31-1590-4f75-b6eb-ffd87af1d04c · inbound

Less Random, More Private: What is the Optimal Subsampling Scheme for DP-SGD? cites this paper.

Less Random, More Private: What is the Optimal Subsampling Scheme for DP-SGD? Unlocking High-Accuracy Differentially Private Image Classification through Scale

Reference 5

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arxiv_id, observed 2026-05-11T04:45:58.019162Z

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=arxiv_source observed=2026-05-11T01:06:21.633242Z digest=sha256:b9cac59cabcd2c239f65f24e822ec15c2b1ef1fdf9d722aa6fcb383a781105f8

Observation fd5cd841-ec23-4624-8686-32f6d0b85544 · inbound

ContinuousBench: Can Differentially Private Synthetic Text Improve Capabilities? cites this paper.

ContinuousBench: Can Differentially Private Synthetic Text Improve Capabilities? Unlocking High-Accuracy Differentially Private Image Classification through Scale

Reference 64

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arxiv_id, observed 2026-07-01T22:16:16.119223Z

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=arxiv_source observed=2026-06-28T15:37:10.765798Z digest=sha256:7244e67e86149f232756aafd4b52dbb29971198669ccf33b42cc09107f2895c4

Observation 16895193-5a1e-4990-8070-7626accf0411 · inbound

Private and Stable Test-Time Adaptation with Differential Privacy cites this paper.

Private and Stable Test-Time Adaptation with Differential Privacy Unlocking High-Accuracy Differentially Private Image Classification through Scale

Reference 35

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arxiv_id, observed 2026-07-01T22:36:17.169182Z

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=arxiv_source observed=2026-06-28T15:15:33.564332Z digest=sha256:2204ebe7fa64439a6e9a495642422682c18422ef2289259988883daafb7da479

Observation 4e4a0a26-ff29-4441-8399-66c05e64ee96 · inbound

Differentially Private Natural Gradient Descent cites this paper.

Differentially Private Natural Gradient Descent Unlocking High-Accuracy Differentially Private Image Classification through Scale

Reference 13

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local_arxiv, observed 2026-07-08T22:15:39.222423Z

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=2026-07-08T22:14:36.496154Z digest=sha256:25686a1f5618a0bda55bbe55a02dd59f49419fd2757333ee0f84382a9782ed2e

Observation 165f3f58-950a-4ecc-972c-f5770c9a5fcd · inbound

End-to-End Differential Privacy in Training Deep Neural Network Classifiers cites this paper.

End-to-End Differential Privacy in Training Deep Neural Network Classifiers Unlocking High-Accuracy Differentially Private Image Classification through Scale

Reference 2021

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no resolver link, observed 2026-08-01T12:29:19.931519Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T12:29:19.931519Z digest=sha256:d2fc3af47f79dd6b973a41a4f1770e6600f6b24d4bfdff8f1c6e78a7fec56cb4

Observation 03537d28-a030-4ef9-a0cb-efe12641328c · inbound

Private Direct Preference Optimization for LLM Alignment cites this paper.

Private Direct Preference Optimization for LLM Alignment Unlocking High-Accuracy Differentially Private Image Classification through Scale

Reference 21

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no resolver link, observed 2026-08-06T11:01:44.190623Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T11:01:44.190623Z digest=sha256:79c9629f7957c75c357d7f0e862bc3727cb495a218c905e8a0150a20a1fec584