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Paper Citation Record · LEDGER

Unlocking High-Accuracy Differentially Private Image Classification through Scale

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 32 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 32 of 32 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 32 of 32 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T14:53:53.938387Z

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-23T17:18:22.300467Z digest=sha256:39bf1c6f43184451bee5afc8cb2cfd24c6ada33f19132e2495a259c481385572

Observation 2dc5eb1b-c6b0-4d5f-b64c-6c20006d1b52 · inbound

Beyond the Crawl: Unmasking Browser Fingerprinting in Real User Interactions cites this paper.

Beyond the Crawl: Unmasking Browser Fingerprinting in Real User Interactions Unlocking High-Accuracy Differentially Private Image Classification through Scale

Reference 20

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no resolver link, observed 2026-08-09T14:53:53.938387Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T14:53:53.938387Z digest=sha256:26ed2cb62831e1d63e2a8e128767f0e58485e31805391aeb2d9908ecd9efa1f3

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

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T15:44:00.706713Z digest=sha256:acf271cf55283b767144db7c25efd416d1af15009d6849e47f384683099acf23

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-22T02:50:09.196457Z digest=sha256:4363d574a6f0ff16d377047d2189dfd6037e347efc45e686b7b14304f6e57e6a

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:ae5863aef8ecb912587fde2a78a84848ffc59f6f740d705fae78816f70614c24

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=sha256:1f4fe9b6c1d70764d6b0468690931e495a4337ab3f2712aa103d9d97c6bf863b

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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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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-21T23:46:54.620034Z digest=sha256:2c84cd7cdc14f55f81e43713712e5cfcf8938dd8e6257a79f7499f6cf4592d11

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=sha256:0e598b3e5ef56b9a311bd2ae6b73d1704c9c2e5135482fae4950cfff0810870a

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=sha256:966e50f6fd22d707a88974f91cf747fbdaba6181ad2c6b967405cb2a4aac0afd

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:b857579701d789eb82999c072c695b2f7e641347bbb20dab3097337458ba3600

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=sha256:2957911e5829f0558e28bee244e3e4799b1a0d1395469d60ea75f374baf879c4

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-18T19:09:04.217591Z digest=sha256:b7d56f177ac17916532f6a221fdf55d63fc119e0c4934e4b0589554001adc881

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:ad30711fdf4d45c1ed96d8c675d8e966c29e058c3b81d7f0c2fc04423a03b9ca

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=sha256:30ce8ce8c491f6244e19b2c81e4917586bd3258e5769cbde36bfa2be60965fb8

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-18T04:40:50.449894Z digest=sha256:b2479c40aa8ad0bed1c7e6af95837cc24712fa77ea5a4d52f4b07467d0db6945

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-17T04:41:22.733999Z digest=sha256:7c25265cdc72ce367fbe34db8491b51b80433a491d4d69cf4b1bfd4cf70af031

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-16T13:37:50.765735Z digest=sha256:ce2142bc34fe41caef29a2e815c9723335ce8f510f83fed417e0d77c276f216b

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:fb4fa2abb3a89992ac852a537220f0a6a4202385af5a99a5444c352c07abd1c4

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=sha256:463a4898e115ad3981bc318be328b965ccc1cf371edc57351745d3ea0c71261b

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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verified exact
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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-16T06:13:59.231151Z digest=sha256:fbc58858523d800642cfac0f60665843d05df03abeeb23c449684f284bf19ab3

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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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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T08:53:13.427364Z digest=sha256:29b111fd359243c76cc4e7018caa4aee3c263374a335b81a37cf525ff4fa47c6

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-21T00:50:11.410735Z digest=sha256:e83ba88c10f2457b396dd82cf9298e4fed1cb15bde7b5f3a2193721a46c421ae

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-07T04:14:15.586233Z digest=sha256:70a8df9505e041714b626a1f7f56d9a39be6f2fd51a08fe267da59a182ef0d68

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-07T04:14:15.586233Z digest=sha256:9c6914bd0ac7fe47279aad183614e264a7dc580b4b7232a0da560a1127a2c3da

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-08T12:33:11.872532Z digest=sha256:6b31d46eaa2148e1f60eba0088b38b7a74f6f9955a3c5458d51efa758cecec31

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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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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-30T23:17:50.401236Z digest=sha256:3105d08eb9b418033457bc4416079e6a8afad7205b0883305390c88f7987d438

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-11T01:06:21.633242Z digest=sha256:2d2a58c8a46b784b32efa1f84c73f69e9e3b478e054b5f169c26822ade5da2b4

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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metadata mismatch
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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-06-28T15:37:10.765798Z digest=sha256:9e5f9a18ac7be17cc256422f5876871505a91a0b5679802859d70d1f4276d1db

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-06-28T15:15:33.564332Z digest=sha256:e47d04892bc103144f29d0ac9f1b4b20ca7daf2ea5b90503165abc650c19285a

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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metadata mismatch
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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-08T22:14:36.496154Z digest=sha256:767b5c6cb498c5261e449e7246b690b9170f065c84a066b53436ee102956bac9

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:a1a215fc2149dcecdc30fcb7374a2bbfb27f7fbb473f8a03fd60debab7ab83c8

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:adedd85c62448c86dd107245cc3d2e8c0fc49e839d05a81c8d5cdc5d3702d247