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Paper Citation Record · LEDGER

Diffusion Models Beat GANs on Image Classification

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 12 inbound Pith citation observations for arXiv:2307.08702.

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

pith.paper-citation-record.v1
2307.08702 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 12 of 12 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 12 of 12 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T10:59:44.132216Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T16:59:58.117730Z

Reference resolution

0 of 0 outbound references displayed

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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 6d68297b-5c7e-4b9e-b179-9c6fb5878e2e · inbound

MetaFE-DE: Learning Meta Feature Embedding for Depth Estimation from Monocular Endoscopic Images cites this paper.

MetaFE-DE: Learning Meta Feature Embedding for Depth Estimation from Monocular Endoscopic Images Diffusion Models Beat GANs on Image Classification

Reference 26

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unresolved
no resolver link, observed 2026-08-09T10:59:44.132216Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T10:59:44.132216Z digest=sha256:b5a9065a12327ef3b666a538ed9a2f1769aa05c8f0f73866acdbe47b6c4d4260

Observation 7cc0493e-586f-4637-b833-9ad2376161ba · inbound

From Image to Video: An Empirical Study of Diffusion Representations cites this paper.

From Image to Video: An Empirical Study of Diffusion Representations Diffusion Models Beat GANs on Image Classification

Reference 34

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unresolved
no resolver link, observed 2026-08-08T14:10:55.286821Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T14:10:55.286821Z digest=sha256:d0de7fe315f256dd2a25c2db63b2540045ba4c9fbd05403585a2d90b04b36d16

Observation 63cb6019-dfd1-4ee5-8645-4bfc14712b81 · inbound

Canonical Latent Representations in Conditional Diffusion Models cites this paper.

Canonical Latent Representations in Conditional Diffusion Models Diffusion Models Beat GANs on Image Classification

Reference 52

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no resolver link, observed 2026-08-07T04:43:06.007017Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:43:06.007017Z digest=sha256:a019089780e57c108b332cb5987d8b8395353813a26816aeea382f118285478e

Observation 6958a577-10b3-40c1-bfe4-a581be05c5bb · inbound

Towards Multimodal Understanding via Stable Diffusion as a Task-Aware Feature Extractor cites this paper.

Towards Multimodal Understanding via Stable Diffusion as a Task-Aware Feature Extractor Diffusion Models Beat GANs on Image Classification

Reference 51

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unresolved
no resolver link, observed 2026-08-06T18:52:36.050247Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:52:36.050247Z digest=sha256:bd6553f478c6c54c6165643ce5a85095f97e9e7a4a94a31a4cc854938a1df5a1

Observation fa0957e7-b74f-4644-b13d-4bced69f33cf · inbound

SDMatte: Grafting Diffusion Models for Interactive Matting cites this paper.

SDMatte: Grafting Diffusion Models for Interactive Matting Diffusion Models Beat GANs on Image Classification

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-06T10:15:05.945322Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:15:05.945322Z digest=sha256:bfd32cb8e12c93f29f14baab26765b28b1abef8428b58beff12f3fee19655ebb

Observation 8b54ef6e-865d-4422-8522-e4bf55c16307 · inbound

Balanced Diffusion-Guided Fusion for Multimodal Remote Sensing Classification cites this paper.

Balanced Diffusion-Guided Fusion for Multimodal Remote Sensing Classification Diffusion Models Beat GANs on Image Classification

Reference 29

Resolution
verified exact
arxiv_id, observed 2026-05-18T12:42:36.925083Z

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=2026-05-18T12:41:31.107173Z digest=sha256:8b6cabd26943e7fc585949fde7ed0d3c0c947a758efd2ff34d819ad1c9dc1d74

Observation 18133848-76f3-45f9-ba45-56560665ae1b · inbound

EMAG: Self-Rectifying Diffusion Sampling with Exponential Moving Average Guidance cites this paper.

EMAG: Self-Rectifying Diffusion Sampling with Exponential Moving Average Guidance Diffusion Models Beat GANs on Image Classification

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-03T15:27:38.940419Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T15:27:38.940419Z digest=sha256:3d873248efca87c3e9d0e56b929563941debda50b44916785dc8661e0c99f1fa

Observation b2821c80-af33-4be4-a732-34eb2e0c3bfb · inbound

GaiaFlow: Semantic-Guided Diffusion Tuning for Carbon-Frugal Search cites this paper.

GaiaFlow: Semantic-Guided Diffusion Tuning for Carbon-Frugal Search Diffusion Models Beat GANs on Image Classification

Reference 38

Resolution
verified exact
arxiv_id, observed 2026-05-15T22:00:21.449745Z

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=2026-05-15T21:58:04.706427Z digest=sha256:c1d26723253d2b64f07a032cb8699a0301d6af6bf7fc8ebb72f937f6166cd158

Observation a0e568fd-64f8-413c-928b-f972459976ed · inbound

Breaking the Lock-in: Diversifying Text-to-Image Generation via Representation Modulation cites this paper.

Breaking the Lock-in: Diversifying Text-to-Image Generation via Representation Modulation Diffusion Models Beat GANs on Image Classification

Reference 39

Resolution
metadata mismatch
arxiv_id, observed 2026-07-02T16:07:09.005614Z

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=2026-06-27T22:59:39.440344Z digest=sha256:e1dfae43efe91274c650daea8a201b82aeab083e7d4085a40746e31560ace5b0

Observation 58d1f3fc-1271-4e6b-9732-9e1987b8348b · inbound

Evaluating the Representation Space of Diffusion Models via Self-Supervised Principles cites this paper.

Evaluating the Representation Space of Diffusion Models via Self-Supervised Principles Diffusion Models Beat GANs on Image Classification

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-07-02T23:57:28.797676Z

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=2026-06-27T17:38:48.252341Z digest=sha256:9d2fcf49c70f7ad59a7c6d95ed67b05e08bb5080c325768dbff2a5e69cca94de

Observation 0fe0885b-20dd-48c9-99dc-c666fc5c3a1f · inbound

DiffusionBench: On Holistic Evaluation of Diffusion Transformers cites this paper.

DiffusionBench: On Holistic Evaluation of Diffusion Transformers Diffusion Models Beat GANs on Image Classification

Reference 60

Resolution
metadata mismatch
arxiv_id, observed 2026-07-04T16:59:58.119340Z

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=2026-06-26T00:06:11.951205Z digest=sha256:bace503bb3bb0fe212fbaea38a30c5e00e76462b5cac881574ad04ef15b5c9a9

Observation 38f414ed-6eed-4691-a536-c077e6bfd829 · inbound

Cyclone: Diffusion Model for Cycle-Consistent Weather Editing from Unpaired Driving Data cites this paper.

Cyclone: Diffusion Model for Cycle-Consistent Weather Editing from Unpaired Driving Data Diffusion Models Beat GANs on Image Classification

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-02T03:25:11.897107Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T03:25:11.897107Z digest=sha256:6858dfd96ad9372c9da0e3813b4bb6e607148a3d52df90fb1549b523bff0ed4b