Paper Citation Record · LEDGER

Effective Data Augmentation With Diffusion Models

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 31 inbound Pith citation observations for arXiv:2302.07944.

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

pith.paper-citation-record.v1
2302.07944 v3

Coverage vector

measured 0 of 0 reference resolution

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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 2026-08-20T06:33:59.587034+00:00

measured 31 of 31 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T23:23:22.969904Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T12:06:56.274817Z

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External citation measurements

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Outbound references

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Pith citing papers

Observation a1826ed4-1e3e-445d-a0ca-c22020d26e1b · inbound

CIA: Controllable Image Augmentation Framework Based on Stable Diffusion cites this paper.

CIA: Controllable Image Augmentation Framework Based on Stable Diffusion Effective Data Augmentation With Diffusion Models

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-12T13:34:25.535875Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eb04d9b7-fa8f-4947-adb2-3ef0a381a69c · inbound

Diffusion-based Data Augmentation and Knowledge Distillation with Generated Soft Labels Solving Data Scarcity Problems of SAR Oil Spill Segmentation cites this paper.

Diffusion-based Data Augmentation and Knowledge Distillation with Generated Soft Labels Solving Data Scarcity Problems of SAR Oil Spill Segmentation Effective Data Augmentation With Diffusion Models

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-11T18:18:13.047022Z

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Observation 6390207f-7bd5-48d3-b739-2838958cd737 · inbound

Affordance-Aware Object Insertion via Mask-Aware Dual Diffusion cites this paper.

Affordance-Aware Object Insertion via Mask-Aware Dual Diffusion Effective Data Augmentation With Diffusion Models

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-11T12:16:57.606991Z

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Observation 4870fcb3-9802-4a7d-a35f-fb7ef8ead04f · inbound

Dataset Augmentation by Mixing Visual Concepts cites this paper.

Dataset Augmentation by Mixing Visual Concepts Effective Data Augmentation With Diffusion Models

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-11T11:32:39.150107Z

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Observation cab2f243-f388-4b0a-954a-c6d54bad3c3e · inbound

GALOT: Generative Active Learning via Optimizable Zero-shot Text-to-image Generation cites this paper.

GALOT: Generative Active Learning via Optimizable Zero-shot Text-to-image Generation Effective Data Augmentation With Diffusion Models

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-11T12:32:41.793225Z

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Observation 6f49cd3f-20a1-40b3-924f-b1b58b64acc5 · inbound

Overcoming Support Dilution for Robust Few-shot Semantic Segmentation cites this paper.

Overcoming Support Dilution for Robust Few-shot Semantic Segmentation Effective Data Augmentation With Diffusion Models

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-10T15:57:37.210392Z

Source-reported events for the cited work

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Observation a9a130e3-4d54-4e30-9259-3f87f8d75347 · inbound

A framework for river connectivity classification using temporal image processing and attention based neural networks cites this paper.

A framework for river connectivity classification using temporal image processing and attention based neural networks Effective Data Augmentation With Diffusion Models

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-09T18:55:11.500045Z

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Observation 2075470d-8b61-4f1f-9fef-f135d871548d · inbound

Augmented Conditioning Is Enough For Effective Training Image Generation cites this paper.

Augmented Conditioning Is Enough For Effective Training Image Generation Effective Data Augmentation With Diffusion Models

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-08T22:39:57.890489Z

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Observation 1ca5e885-faa7-42de-8eb3-0b947fecd371 · inbound

ViCTr: Vital Consistency Transfer for Pathology Aware Image Synthesis cites this paper.

ViCTr: Vital Consistency Transfer for Pathology Aware Image Synthesis Effective Data Augmentation With Diffusion Models

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-15T23:23:22.969904Z

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Observation fcb30229-6c0e-4e98-aa11-d24a12816509 · inbound

Few-Shot Anomaly-Driven Generation for Anomaly Classification and Segmentation cites this paper.

Few-Shot Anomaly-Driven Generation for Anomaly Classification and Segmentation Effective Data Augmentation With Diffusion Models

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-15T21:39:54.443125Z

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Observation ab91bfcf-44be-4e43-af46-a4a070669d86 · inbound

EarthSynth: Generating Informative Earth Observation with Diffusion Models cites this paper.

EarthSynth: Generating Informative Earth Observation with Diffusion Models Effective Data Augmentation With Diffusion Models

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-15T20:45:56.552483Z

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Observation 1b39a7ae-1242-48e5-a95f-f55e7ee62b94 · inbound

From Tens of Hours to Tens of Thousands: Scaling Back-Translation for Speech Recognition cites this paper.

From Tens of Hours to Tens of Thousands: Scaling Back-Translation for Speech Recognition Effective Data Augmentation With Diffusion Models

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-07T14:55:57.729459Z

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Observation c126979a-2156-42ea-944f-99c80c02e752 · inbound

Generative Data Augmentation for Object Point Cloud Segmentation cites this paper.

Generative Data Augmentation for Object Point Cloud Segmentation Effective Data Augmentation With Diffusion Models

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-07T14:44:45.883274Z

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Observation 9a1d887e-f27e-489d-bcfb-d5b4025c5e1f · inbound

VisAlgae 2023: A Dataset and Challenge for Algae Detection in Microscopy Images cites this paper.

VisAlgae 2023: A Dataset and Challenge for Algae Detection in Microscopy Images Effective Data Augmentation With Diffusion Models

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-07T13:53:13.438827Z

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Observation cd881c4d-c95e-4a46-9da0-cb51b8a9dc0a · inbound

Multimodal Forecasting of Sparse Intraoperative Hypotension Events Powered by Language Model cites this paper.

Multimodal Forecasting of Sparse Intraoperative Hypotension Events Powered by Language Model Effective Data Augmentation With Diffusion Models

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-07T13:19:09.880582Z

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Observation 067d991e-b2e0-4bc3-b5b2-02a404d45493 · inbound

SoK: Can Synthetic Images Replace Real Data? A Survey of Utility and Privacy of Synthetic Image Generation cites this paper.

SoK: Can Synthetic Images Replace Real Data? A Survey of Utility and Privacy of Synthetic Image Generation Effective Data Augmentation With Diffusion Models

Reference 111

Resolution: unresolved; no resolver link, observed 2026-08-06T23:12:17.202428Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 83cfe0c2-dda6-42d4-bc3c-6fc6a2102b1b · inbound

Inpainting is All You Need: A Diffusion-based Augmentation Method for Semi-supervised Medical Image Segmentation cites this paper.

Inpainting is All You Need: A Diffusion-based Augmentation Method for Semi-supervised Medical Image Segmentation Effective Data Augmentation With Diffusion Models

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-06T21:56:17.188764Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ad38fcbd-c0f0-405c-ae97-dbd1f786fdfc · inbound

Generate, Refine, and Encode: Leveraging Synthesized Novel Samples for On-the-Fly Fine-Grained Category Discovery cites this paper.

Generate, Refine, and Encode: Leveraging Synthesized Novel Samples for On-the-Fly Fine-Grained Category Discovery Effective Data Augmentation With Diffusion Models

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-06T20:04:05.419193Z

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Observation 38cc0e40-c497-455c-b918-c8d205e94525 · inbound

RulerNet: Learning Perspective-Invariant Ruler Representations for Robust Image Scale Estimation cites this paper.

RulerNet: Learning Perspective-Invariant Ruler Representations for Robust Image Scale Estimation Effective Data Augmentation With Diffusion Models

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-06T18:53:49.570147Z

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Observation f1881e4b-6665-4117-9da1-4da3806fd73e · inbound

Enhancing Zero-Shot Pedestrian Attribute Recognition with Synthetic Data Generation: A Comparative Study with Image-To-Image Diffusion Models cites this paper.

Enhancing Zero-Shot Pedestrian Attribute Recognition with Synthetic Data Generation: A Comparative Study with Image-To-Image Diffusion Models Effective Data Augmentation With Diffusion Models

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-05T11:53:05.568702Z

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Observation e14d09fa-f2ce-408d-9e3b-a48af2e707f0 · inbound

QASA: Quality-Aware Semantic Augmentation for Robust Multimodal Sentiment Analysis cites this paper.

QASA: Quality-Aware Semantic Augmentation for Robust Multimodal Sentiment Analysis Effective Data Augmentation With Diffusion Models

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-03T11:19:34.851791Z

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Unavailable: canonical work link unavailable.

Observation 53a838e9-fed0-41a8-b800-72b0135d5c28 · inbound

Disentangled Anatomy-Disease Diffusion (DADD) for Controllable Ulcerative Colitis Progression Synthesis cites this paper.

Disentangled Anatomy-Disease Diffusion (DADD) for Controllable Ulcerative Colitis Progression Synthesis Effective Data Augmentation With Diffusion Models

Reference 33

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T11:16:08.326357Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 2e14b7de-ac67-4ea9-b05d-d33c18fa9193 · inbound

Mutual Enhancement Between Global Tokens and Patch Tokens: From Theory to Practice cites this paper.

Mutual Enhancement Between Global Tokens and Patch Tokens: From Theory to Practice Effective Data Augmentation With Diffusion Models

Reference 86

Resolution: verified exact; arxiv_id, observed 2026-05-20T22:43:51.043855Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 55950e8e-bfd9-4412-953d-db88f96ffac7 · inbound

Awakening the Hydra: Stabilizing Multi-Concept Backdoor Injection in Text-to-Image Diffusion Models cites this paper.

Awakening the Hydra: Stabilizing Multi-Concept Backdoor Injection in Text-to-Image Diffusion Models Effective Data Augmentation With Diffusion Models

Reference 13

Resolution: metadata mismatch; arxiv_id, observed 2026-05-20T04:43:03.726669Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation d3a12a07-c05f-41c8-a85b-b70ea9e5082e · inbound

Personalized Generative Models for Contextual Debiasing cites this paper.

Personalized Generative Models for Contextual Debiasing Effective Data Augmentation With Diffusion Models

Reference 57

Resolution: verified exact; arxiv_id, observed 2026-06-29T22:13:59.804668Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation ac68ddbb-200c-4ba2-ac0b-6dca8b5e55b5 · inbound

On the Difficulty of Learning a Meta-network for Training Data Selection cites this paper.

On the Difficulty of Learning a Meta-network for Training Data Selection Effective Data Augmentation With Diffusion Models

Reference 86

Resolution: verified exact; arxiv_id, observed 2026-06-28T19:22:34.807049Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 518887c2-feac-4c15-a02a-0d3da5a4f65b · inbound

ReSAGE-PAR: Representational Similarity Assessment for Generative Expansion in Pedestrian Attribute Recognition cites this paper.

ReSAGE-PAR: Representational Similarity Assessment for Generative Expansion in Pedestrian Attribute Recognition Effective Data Augmentation With Diffusion Models

Reference 10

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T12:06:56.276257Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation daa901bd-b880-412a-9abd-ec934a7eddda · inbound

ReSAGE-PAR: Representational Similarity Assessment for Generative Expansion in Pedestrian Attribute Recognition cites this paper.

ReSAGE-PAR: Representational Similarity Assessment for Generative Expansion in Pedestrian Attribute Recognition Effective Data Augmentation With Diffusion Models

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-02T12:24:25.666509Z

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Observation 85d2bf6e-7b0b-4f23-b9f0-19b16f0937f6 · inbound

AC3S: Adaptive Conditioning for 3D-Aware Synthetic Data Generation cites this paper.

AC3S: Adaptive Conditioning for 3D-Aware Synthetic Data Generation Effective Data Augmentation With Diffusion Models

Reference 46

Resolution: verified exact; arxiv_id, observed 2026-07-01T09:45:40.418869Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation c080b014-91e7-43b7-92a8-684effc37df4 · inbound

Leak-Free Cross-Validated Stacking with Per-Architecture Calibration for Sand-Boil Segmentation in Earthen Levees cites this paper.

Leak-Free Cross-Validated Stacking with Per-Architecture Calibration for Sand-Boil Segmentation in Earthen Levees Effective Data Augmentation With Diffusion Models

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-01T02:43:34.468639Z

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Unavailable: canonical work link unavailable.

Observation 1a48ab13-82ba-4b2b-9f90-51c3c9dbb2c4 · inbound

Free-Lunch Augmentation by Revisiting Diffusion-Based Data Generation for Cross-Domain Few-Shot Object Detection cites this paper.

Free-Lunch Augmentation by Revisiting Diffusion-Based Data Generation for Cross-Domain Few-Shot Object Detection Effective Data Augmentation With Diffusion Models

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-07T00:54:50.962497Z

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Unavailable: canonical work link unavailable.