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Paper Citation Record · LEDGER

MLEP: Multi-granularity Local Entropy Patterns for Universal AI-generated Image Detection

As of 18 August 2026, this Paper Citation Record lists 47 of 47 outbound references and 0 inbound Pith citation observations for arXiv:2504.13726.

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

pith.paper-citation-record.v1
2504.13726 v2

Coverage vector

measured 47 of 47 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T12:06:57.003929Z

measured 47 of 47 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

47 of 47 outbound references displayed

  • verified exact0
  • verified fuzzy40
  • unresolved7
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c7bad399-e664-42ba-aa0a-9d424c655782 · outbound

This paper cites The Cramer Cistance as a Solution to Biased Wasserstein Gradients.

MLEP: Multi-granularity Local Entropy Patterns for Universal AI-generated Image Detection The Cramer Cistance as a Solution to Biased Wasserstein Gradients

Reference 1

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation ef1cda77-eaf8-4722-aa33-97cb48381329 · outbound

This paper cites BEGAN: Boundary Equilibrium Generative Adversarial Networks.

MLEP: Multi-granularity Local Entropy Patterns for Universal AI-generated Image Detection BEGAN: Boundary Equilibrium Generative Adversarial Networks

Reference 2

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no resolver link, observed 2026-08-16T12:06:56.747962Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T12:06:56.747962Z digest=sha256:ec8bb813c7ebd0ccfea7a637f16abb4d09f3a7597dea49f656236247d20fdca3

Observation 3d36aa88-5c52-4273-b63c-c7d7fcfa34e6 · outbound

This paper cites Large Scale GAN Training for High Fidelity Natural Image Synthesis.

MLEP: Multi-granularity Local Entropy Patterns for Universal AI-generated Image Detection Large Scale GAN Training for High Fidelity Natural Image Synthesis

Reference 3

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 68ff3437-7660-401f-8728-46d12b3239e8 · outbound

This paper cites DRCT: Diffusion Reconstruction Contrastive Training towards Universal Detection of Diffusion Generated Images.

MLEP: Multi-granularity Local Entropy Patterns for Universal AI-generated Image Detection DRCT: Diffusion Reconstruction Contrastive Training towards Universal Detection of Diffusion Generated Images

Reference 4

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation c03955c0-5b13-4f1a-8b9c-a2e4088394c4 · outbound

This paper cites StarGAN: Unified Generative Adversarial Networks for Multi-Domain Image-to-Image Transla- tion.

MLEP: Multi-granularity Local Entropy Patterns for Universal AI-generated Image Detection StarGAN: Unified Generative Adversarial Networks for Multi-Domain Image-to-Image Transla- tion

Reference 5

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T12:06:56.766738Z digest=sha256:f954f732e150cdb329e580c58ec4e48bbba7b0303c8750e5c910d371eac8c4df

Observation a03625cd-df72-4247-ba85-077335e96ae8 · outbound

This paper cites Diffusion Models Beat GANs on Image Synthesis.

MLEP: Multi-granularity Local Entropy Patterns for Universal AI-generated Image Detection Diffusion Models Beat GANs on Image Synthesis

Reference 6

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation dd057cf7-0518-42ca-bd13-7222b3908b9c · outbound

This paper cites Leveraging Frequency Analysis for Deep Fake Image Recognition.

MLEP: Multi-granularity Local Entropy Patterns for Universal AI-generated Image Detection Leveraging Frequency Analysis for Deep Fake Image Recognition

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T12:06:56.780157Z digest=sha256:ea20b89f7f78c2537b0ccfbb7d092b6dc19773e61d67a6bb143e7dfc25c3a6ed

Observation 2e576ab5-f9e3-4ed7-9418-9613978b60ad · outbound

This paper cites Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio.

MLEP: Multi-granularity Local Entropy Patterns for Universal AI-generated Image Detection Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio

Reference 8

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T12:06:56.786926Z digest=sha256:8a8d67c27974817a8f42024eed29985097354e26abce472408ce1cccfa5ceccf

Observation b0be5a8b-ade6-46ff-b66c-f469f3154900 · outbound

This paper cites Vector Quantized Diffusion Model for Text-to-Image Synthesis.

MLEP: Multi-granularity Local Entropy Patterns for Universal AI-generated Image Detection Vector Quantized Diffusion Model for Text-to-Image Synthesis

Reference 9

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T12:06:56.792708Z digest=sha256:4e028131f64e70d68bdce55bcd66525a4cfae47f073e89377ecee6a645724795

Observation f2808de0-d96d-498e-9cc2-e262dda946aa · outbound

This paper cites Deep Residual Learning for Image Recognition.

MLEP: Multi-granularity Local Entropy Patterns for Universal AI-generated Image Detection Deep Residual Learning for Image Recognition

Reference 10

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T12:06:56.797606Z digest=sha256:a839d61df347bb874ac66d79037971fc4cb6ef87505519a97a9ea176ceae80b7

Observation 6dcf5ddc-b982-499f-8f3a-1f6659351cdd · outbound

This paper cites AttGAN: Facial Attribute Editing by Only Changing What You Want.

MLEP: Multi-granularity Local Entropy Patterns for Universal AI-generated Image Detection AttGAN: Facial Attribute Editing by Only Changing What You Want

Reference 11

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T12:06:56.802999Z digest=sha256:5125e64824fcd61e2ce927627f83388f4ece04ebc997b1376fb7efe7b293ff1c

Observation 9167d2d3-a359-408d-ba52-259a3395fa37 · outbound

This paper cites Denoising Diffusion Probabilistic Models.Advances in neural information processing systems, 33:6840–6851, 2020.

MLEP: Multi-granularity Local Entropy Patterns for Universal AI-generated Image Detection Denoising Diffusion Probabilistic Models.Advances in neural information processing systems, 33:6840–6851, 2020

Reference 12

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T12:06:56.808192Z digest=sha256:4f8460c0bc0cdf0c86c0d90c6309018eff34c8fef98885bc8eca118c63b2b635

Observation 2ae011d6-c3fd-4ac4-95e0-27a9389c9399 · outbound

This paper cites This isn’t the Nature Podcast-how deepfakes are distorting reality.

MLEP: Multi-granularity Local Entropy Patterns for Universal AI-generated Image Detection This isn’t the Nature Podcast-how deepfakes are distorting reality

Reference 13

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T12:06:56.813778Z digest=sha256:03f816840bd6a5a4504d8dbde701d2d99ee2ff27687b5e5f6b4517cecef0cf4d

Observation da9290fd-1686-403e-86e3-c8cc6277149e · outbound

This paper cites Progressive Growing of Gans for Improved Quality, Stability, and Variation.

MLEP: Multi-granularity Local Entropy Patterns for Universal AI-generated Image Detection Progressive Growing of Gans for Improved Quality, Stability, and Variation

Reference 14

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T12:06:56.818896Z digest=sha256:47e503ff58f305992f0bcc15bcdcc61179cb91ebc94deea6ae3b32e3f810fbd7

Observation fb93498c-1b22-4b0e-9285-d5f4e5537104 · outbound

This paper cites A Style-Based Generator Architecture for Genera- tive Adversarial Networks.

MLEP: Multi-granularity Local Entropy Patterns for Universal AI-generated Image Detection A Style-Based Generator Architecture for Genera- tive Adversarial Networks

Reference 15

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T12:06:56.824056Z digest=sha256:7f73b97bb0be2d800f9d219730c7159910be52ee6c4d519a9cd580f0b0b0b86c

Observation a5ddc836-60fa-4953-9b2e-5c3e8c5660c3 · outbound

This paper cites Analyzing and Improving the Image Quality of StyleGAN.

MLEP: Multi-granularity Local Entropy Patterns for Universal AI-generated Image Detection Analyzing and Improving the Image Quality of StyleGAN

Reference 16

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T12:06:56.829179Z digest=sha256:8e5d4b205c879f54d4bf411ab4e12a5eca5058d365474d33af172d9dd82b3b39

Observation 3230586a-a9f1-475d-951b-5b5ee8607d8a · outbound

This paper cites CLIPping the Deception: Adapting Vision- Language Models for Universal deepfake detection.

MLEP: Multi-granularity Local Entropy Patterns for Universal AI-generated Image Detection CLIPping the Deception: Adapting Vision- Language Models for Universal deepfake detection

Reference 17

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T12:06:56.834167Z digest=sha256:807f9c4d826cb569ecda484333535538fc72a46158623fa7d492585a8a4f759e

Observation 42255065-cc69-484d-9cc6-eb56700b3ad7 · outbound

This paper cites InfoMax-GAN: Improved Adversarial Image Generation via Information Maximization and Contrastive Learning.

MLEP: Multi-granularity Local Entropy Patterns for Universal AI-generated Image Detection InfoMax-GAN: Improved Adversarial Image Generation via Information Maximization and Contrastive Learning

Reference 18

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T12:06:56.838870Z digest=sha256:66216e4084bdd44cefc8481a296f0f5a7177deef59d6183ca483806041fef535

Observation 0ead9161-cf94-4aef-bcc3-2ee5bd85cc37 · outbound

This paper cites MMD GAN: Towards Deeper Understanding of Moment Matching Network.

MLEP: Multi-granularity Local Entropy Patterns for Universal AI-generated Image Detection MMD GAN: Towards Deeper Understanding of Moment Matching Network

Reference 19

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T12:06:56.843808Z digest=sha256:f46536c38c2c5da2d6be138ec564de573431e82e4da4608552d2f5418a24f599

Observation 2d7d8ef4-2fcf-450c-be69-9fe990de915f · outbound

This paper cites Detecting Generated Images by Real Images.

MLEP: Multi-granularity Local Entropy Patterns for Universal AI-generated Image Detection Detecting Generated Images by Real Images

Reference 20

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T12:06:56.849208Z digest=sha256:d46cc63d941730f007b7e01a3c65308d43331ea0d07922e8e71b218d4e6e6e94

Observation b0da1cde-e77f-4073-9c36-b3295fe02a6b · outbound

This paper cites Forgery-aware Adaptive Transformer for Generalizable Synthetic Image Detection.

MLEP: Multi-granularity Local Entropy Patterns for Universal AI-generated Image Detection Forgery-aware Adaptive Transformer for Generalizable Synthetic Image Detection

Reference 21

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T12:06:56.854197Z digest=sha256:629c8f9418181a723fa54a6579fe37423f01d7ad125247fba86e58e283092443

Observation c989f959-f208-4031-856c-baf63a8f50dd · outbound

This paper cites Pseudo Numerical Methods for Diffusion Models on Manifolds.

MLEP: Multi-granularity Local Entropy Patterns for Universal AI-generated Image Detection Pseudo Numerical Methods for Diffusion Models on Manifolds

Reference 22

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T12:06:56.858919Z digest=sha256:6a68414f6fe75ed605ef9b30f382f9c1f59b77a038d2159415b668da1f65dc2f

Observation 2424d628-b187-4a91-b253-6d31fa88b129 · outbound

This paper cites STGAN: A Unified Selective Transfer Network for Arbitrary Image Attribute Editing.

MLEP: Multi-granularity Local Entropy Patterns for Universal AI-generated Image Detection STGAN: A Unified Selective Transfer Network for Arbitrary Image Attribute Editing

Reference 23

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T12:06:56.866493Z digest=sha256:fbaf70b6b35c62188cd4dc48b566483d8a8b711e77b65b0d8e230fcc52feaf4f

Observation 31dd31bb-8cc5-460a-bf8f-e682886a4403 · outbound

This paper cites High-Fidelity Image Generation with Fewer Labels.

MLEP: Multi-granularity Local Entropy Patterns for Universal AI-generated Image Detection High-Fidelity Image Generation with Fewer Labels

Reference 24

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T12:06:56.871544Z digest=sha256:58be2a6a6ead32affdcb046a664607fc725b06dffcdc994e218efe763ab2059d

Observation c459b46e-c9e3-44dc-ba69-20abd8020779 · outbound

This paper cites Generalizing Face Forgery Detection with High-Frequency Features.

MLEP: Multi-granularity Local Entropy Patterns for Universal AI-generated Image Detection Generalizing Face Forgery Detection with High-Frequency Features

Reference 25

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raw_fallback, observed 2026-08-16T12:06:57.527164Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T12:06:56.876608Z digest=sha256:e199200336cfaf472919a132d4928ab592f797740a806777c26181497968de95

Observation d87da41f-8d85-4eca-af38-0f229ee059bb · outbound

This paper cites Spectral Normaliza- tion for Generative Adversarial Networks.

MLEP: Multi-granularity Local Entropy Patterns for Universal AI-generated Image Detection Spectral Normaliza- tion for Generative Adversarial Networks

Reference 26

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T12:06:56.882236Z digest=sha256:87e05349e2d236722c2708d8c541f161aa53fccefab5fe4d488147cdcbcc85a7

Observation 2f8319ea-e5b7-4e47-b302-7aae6e90ae66 · outbound

This paper cites Improved Denoising Fiffusion Probabilistic Models.

MLEP: Multi-granularity Local Entropy Patterns for Universal AI-generated Image Detection Improved Denoising Fiffusion Probabilistic Models

Reference 27

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raw_fallback, observed 2026-08-16T12:06:57.482947Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T12:06:56.887210Z digest=sha256:c2a774f70c5caa919059077185583b26c2e976f246510b2420353498a1426917

Observation b0425708-77eb-495e-adbe-d9be09c96209 · outbound

This paper cites Glide: Towards photorealistic image genera- tion and editing with text-guided diffusion models.

MLEP: Multi-granularity Local Entropy Patterns for Universal AI-generated Image Detection Glide: Towards photorealistic image genera- tion and editing with text-guided diffusion models

Reference 28

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T12:06:56.892495Z digest=sha256:dceead882670fb6c7c858ca9af3e262e69fc2a132839e1795d280d0831e5434d

Observation 410f9a5f-53e7-4212-805d-c60687dac8b6 · outbound

This paper cites RelGAN: Relational Generative Adversarial Networks for Text Generation.

MLEP: Multi-granularity Local Entropy Patterns for Universal AI-generated Image Detection RelGAN: Relational Generative Adversarial Networks for Text Generation

Reference 29

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raw_fallback, observed 2026-08-16T12:06:57.444570Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T12:06:56.897239Z digest=sha256:1097bb934fb118a84740fa817be527a279b9bbe804281a358d3a31991da39e2c

Observation 98e60b65-2b2d-452e-a489-c399b75ffe1c · outbound

This paper cites Towards Universal Fake Image Detectors that Generalize Across Generative Models.

MLEP: Multi-granularity Local Entropy Patterns for Universal AI-generated Image Detection Towards Universal Fake Image Detectors that Generalize Across Generative Models

Reference 30

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raw_fallback, observed 2026-08-16T12:06:57.423531Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T12:06:56.901837Z digest=sha256:80d24097dae84a3db7ce216721c9c5dcd6977a8930f97526977c481db79dcbbb

Observation 3c29d916-5fa7-494e-bc3f-9d1c66ae58af · outbound

This paper cites Semantic Image Synthe- sis with Spatially-Adaptive Normalization.

MLEP: Multi-granularity Local Entropy Patterns for Universal AI-generated Image Detection Semantic Image Synthe- sis with Spatially-Adaptive Normalization

Reference 31

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raw_fallback, observed 2026-08-16T12:06:57.403925Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T12:06:56.907392Z digest=sha256:ddb4c0da1ed9b4417d6807ba95d6732d83ea6274a624015fa9522e0ec7b2222a

Observation 09edbe12-afa3-4d5b-a7eb-c1534d9e78f6 · outbound

This paper cites Thinking in Frequency: Face Forgery Detection by Mining Frequency-Aware Clues.

MLEP: Multi-granularity Local Entropy Patterns for Universal AI-generated Image Detection Thinking in Frequency: Face Forgery Detection by Mining Frequency-Aware Clues

Reference 32

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T12:06:56.913579Z digest=sha256:26ddba5e0c0c2f6dbff4c33902d72d5b42d94bef7d239799f2a38ef244251966

Observation 638d64b4-7dae-41eb-9e4b-520026453e01 · outbound

This paper cites Zero-Shot Text-to-Image Generation.

MLEP: Multi-granularity Local Entropy Patterns for Universal AI-generated Image Detection Zero-Shot Text-to-Image Generation

Reference 33

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raw_fallback, observed 2026-08-16T12:06:57.366233Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation c27712be-c10b-47e1-b2ee-941ef03aa108 · outbound

This paper cites High- Resolution Image Synthesis with Latent Diffusion Models.

MLEP: Multi-granularity Local Entropy Patterns for Universal AI-generated Image Detection High- Resolution Image Synthesis with Latent Diffusion Models

Reference 34

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T12:06:56.924350Z digest=sha256:589bbd737fac0f9f79c0a5047ad4a018912285b8de1a87b71005a6cc24678b63

Observation 1eadbeaa-af33-4a5f-9b4b-46d3fe4f545b · outbound

This paper cites A mathematical theory of communication.

MLEP: Multi-granularity Local Entropy Patterns for Universal AI-generated Image Detection A mathematical theory of communication

Reference 35

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unresolved
no resolver link, observed 2026-08-16T12:06:56.930160Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T12:06:56.930160Z digest=sha256:8731956ae7bb37008f27bd0896bf739d953e9be12ad8f954840a0228da147d38

Observation 103986a2-9901-40cb-bb2f-78ea8cce23fe · outbound

This paper cites GANGen-Detection: A Dataset Generated by GANs for Generalizable Deepfake Detection.

MLEP: Multi-granularity Local Entropy Patterns for Universal AI-generated Image Detection GANGen-Detection: A Dataset Generated by GANs for Generalizable Deepfake Detection

Reference 36

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verified fuzzy
raw_fallback, observed 2026-08-16T12:06:57.306125Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T12:06:56.935345Z digest=sha256:b705f39287d60c20b893b75efe84d1fb4db482cb9714bd8b50209c6525a68081

Observation bcd70ccf-db95-4df9-b11a-d6913216c905 · outbound

This paper cites Frequency-Aware Deepfake Detection: Improving Generalizability through Frequency Space Domain Learning.

MLEP: Multi-granularity Local Entropy Patterns for Universal AI-generated Image Detection Frequency-Aware Deepfake Detection: Improving Generalizability through Frequency Space Domain Learning

Reference 37

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verified fuzzy
raw_fallback, observed 2026-08-16T12:06:57.285664Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T12:06:56.941547Z digest=sha256:936ff02da4ea12466b1e795d21fcb8f55892e99d819fe4de6fcc598d5bf5bb4c

Observation 457cb64c-f968-4962-b238-e51a95d9c2ce · outbound

This paper cites Re- thinking the Up-Sampling Operations in CNN-Based Generative Network for Generalizable Deepfake Detection.

MLEP: Multi-granularity Local Entropy Patterns for Universal AI-generated Image Detection Re- thinking the Up-Sampling Operations in CNN-Based Generative Network for Generalizable Deepfake Detection

Reference 38

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T12:06:56.947264Z digest=sha256:dce75d610291e8a56d1cb014e2a8ba50d2715c6e5a44818019d923a612ed2abc

Observation b66e8ac8-5956-4208-b279-e8dd4a9bacf9 · outbound

This paper cites Learning on Gradients: Generalized Artifacts Representation for GAN-Generated Images Detection.

MLEP: Multi-granularity Local Entropy Patterns for Universal AI-generated Image Detection Learning on Gradients: Generalized Artifacts Representation for GAN-Generated Images Detection

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T12:06:57.245156Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T12:06:56.952487Z digest=sha256:a5789fe776cf49942bea40ee8b211b674de0d6f69af6c2dc582554a104bd1e30

Observation cc6f342a-792f-4a41-98b5-345705a45310 · outbound

This paper cites Visualizing data using t-SNE.

MLEP: Multi-granularity Local Entropy Patterns for Universal AI-generated Image Detection Visualizing data using t-SNE

Reference 40

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verified fuzzy
raw_fallback, observed 2026-08-16T12:06:57.215235Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T12:06:56.959414Z digest=sha256:5afddcc68a90087822e6d27bb8c766448773e829e83f15fc16ecbad77673f3f4

Observation 265fe790-0831-4339-a1b0-2f95f62956e0 · outbound

This paper cites Cnn- generated images are surprisingly easy to spot.

MLEP: Multi-granularity Local Entropy Patterns for Universal AI-generated Image Detection Cnn- generated images are surprisingly easy to spot

Reference 41

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unresolved
no resolver link, observed 2026-08-16T12:06:56.964455Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T12:06:56.964455Z digest=sha256:70f39b0825f8afdd26b17d209cf5eadb55b6424e60f97631488c363a74972852

Observation 1a1b46c8-151e-4e54-bbff-94470876d831 · outbound

This paper cites DIRE for Diffusion-Generated Image Detection.

MLEP: Multi-granularity Local Entropy Patterns for Universal AI-generated Image Detection DIRE for Diffusion-Generated Image Detection

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T12:06:57.172534Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T12:06:56.969039Z digest=sha256:f042cad1b602990b702f1c0c77c443f8943db79b189e36322b2c9b42327fed36

Observation f119e0b3-5d13-4b2a-9168-77740cf5f83f · outbound

This paper cites Combating Misinformation in the Era of Generative AI Models.

MLEP: Multi-granularity Local Entropy Patterns for Universal AI-generated Image Detection Combating Misinformation in the Era of Generative AI Models

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T12:06:57.149947Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T12:06:56.975071Z digest=sha256:6cca099f149b9a34e4f0fd99a35fb4bdb8a2cd60a39f8f160718d4cd069a4357

Observation 374e4039-bf35-4c40-8fab-db149236eb88 · outbound

This paper cites LSUN: Construction of a Large-scale Image Dataset using Deep Learning with Humans in the Loop.

MLEP: Multi-granularity Local Entropy Patterns for Universal AI-generated Image Detection LSUN: Construction of a Large-scale Image Dataset using Deep Learning with Humans in the Loop

Reference 44

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unresolved
no resolver link, observed 2026-08-16T12:06:56.985923Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T12:06:56.985923Z digest=sha256:947201afe1507d4eb7ceff564e221e3ae95df75b9fd46a982d66ac486cd2e3bf

Observation 89c9d8d6-d26b-4168-a762-892a0d82f062 · outbound

This paper cites Breaking Semantic Artifacts for Generalized AI-generated Image Detection.

MLEP: Multi-granularity Local Entropy Patterns for Universal AI-generated Image Detection Breaking Semantic Artifacts for Generalized AI-generated Image Detection

Reference 45

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raw_fallback, observed 2026-08-16T12:06:57.131277Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T12:06:56.992451Z digest=sha256:3fdca1703203ae10d8d17fbce551fb2b2d18c416862959a67a380bc1129529c5

Observation ce1561cc-69c9-443c-9f7a-b7dbd7f22596 · outbound

This paper cites PatchCraft: Exploring Texture Patch for Efficient AI-generated Image Detection.

MLEP: Multi-granularity Local Entropy Patterns for Universal AI-generated Image Detection PatchCraft: Exploring Texture Patch for Efficient AI-generated Image Detection

Reference 46

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unresolved
no resolver link, observed 2026-08-16T12:06:56.998414Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T12:06:56.998414Z digest=sha256:d75dd247f2c516c47086cdff1413f8cbe5d8690a41c6b9efedbf050d1faad90e

Observation 23368eff-e61f-4c86-a603-c9ce322699dd · outbound

This paper cites Unpaired Image-to-Image Trans- lation using Cycle-Consistent Adversarial Networks.

MLEP: Multi-granularity Local Entropy Patterns for Universal AI-generated Image Detection Unpaired Image-to-Image Trans- lation using Cycle-Consistent Adversarial Networks

Reference 47

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verified fuzzy
raw_fallback, observed 2026-08-16T12:06:57.111345Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T12:06:57.003929Z digest=sha256:f54d4b1e2e7de54f96478ab3f006ecec8a0b2acedd32add626c4b929410867f4

Pith citing papers

No inbound Pith citation observations are available.