Pith. sign in

Paper Citation Record · LEDGER

Multimodal Conditional Information Bottleneck for Generalizable AI-Generated Image Detection

As of 13 August 2026, this Paper Citation Record lists 68 of 68 outbound references and 4 inbound Pith citation observations for arXiv:2505.15217.

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

pith.paper-citation-record.v1
2505.15217 v1

Coverage vector

measured 68 of 68 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:28:41.978331Z

measured 72 of 72 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T04:57:35.293936Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T14:24:44.817937Z

Reference resolution

68 of 68 outbound references displayed

  • verified exact1
  • verified fuzzy53
  • unresolved14
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 0f7e09d7-90cb-4ca7-942a-617c914d6b62 · outbound

This paper cites Deep variational information bottleneck.

Multimodal Conditional Information Bottleneck for Generalizable AI-Generated Image Detection Deep variational information bottleneck

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:28:56.752062Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T15:28:33.608924Z digest=sha256:9f8e8be03c6212615f6d3e48030dd216808121b4db97eab18e1f09709a981b18

Observation 66f9911c-20f8-41c6-ab61-ffe304a2c3c3 · outbound

This paper cites The conditional entropy bottleneck.

Multimodal Conditional Information Bottleneck for Generalizable AI-Generated Image Detection The conditional entropy bottleneck

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:28:56.443308Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T15:28:33.669639Z digest=sha256:8f35bd9d6e337f7b1cc7a5f8d94cd88b69af8a1ec9fbb07b8100734891b0dbe3

Observation d3b73e58-6322-49eb-bcc6-61c5caae41ff · outbound

This paper cites Imagenet: A large-scale hierarchical image database.

Multimodal Conditional Information Bottleneck for Generalizable AI-Generated Image Detection Imagenet: A large-scale hierarchical image database

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:28:56.178134Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T15:28:33.789496Z digest=sha256:6a9a23a1702ce10d9a3a5130f233bcedebaf4d81777271c15af1df539a6cf41c

Observation d3a7fd54-d4cb-4c37-8910-51f4cb510578 · outbound

This paper cites Diffusiondb: A large-scale prompt gallery dataset for text-to-image genera- tive models.

Multimodal Conditional Information Bottleneck for Generalizable AI-Generated Image Detection Diffusiondb: A large-scale prompt gallery dataset for text-to-image genera- tive models

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:28:55.898841Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T15:28:33.910589Z digest=sha256:787ff7ef757d4b4a04f64c28c53bf3143e73d1beae054a6d557b62cd5bdc45ce

Observation 054e3119-162d-4f6f-845b-eba5d6c0e7e0 · outbound

This paper cites Forgery-aware adaptive transformer for generalizable synthetic image detection.

Multimodal Conditional Information Bottleneck for Generalizable AI-Generated Image Detection Forgery-aware adaptive transformer for generalizable synthetic image detection

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:28:55.641999Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T15:28:34.080621Z digest=sha256:14328871b8d560d92d1fe1cba9ee5b9b7595a0dd80b30459b933571a1dc5a3c6

Observation fb65de91-178f-4d04-b227-491dd71bfcf2 · outbound

This paper cites CLIPping the Deception: Adapting Vision- Language Models for Universal Deepfake Detection.

Multimodal Conditional Information Bottleneck for Generalizable AI-Generated Image Detection CLIPping the Deception: Adapting Vision- Language Models for Universal Deepfake Detection

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:28:55.334968Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T15:28:34.210243Z digest=sha256:c1be9d2171ec0317f7c90076a4275453471a5d016068c598569f3aca5aad1367

Observation 127b6358-a195-4c7b-ad21-2ad963a0d0f7 · outbound

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

Multimodal Conditional Information Bottleneck for Generalizable AI-Generated Image Detection Towards Universal Fake Image Detectors that Generalize Across Generative Models

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:28:55.032957Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T15:28:34.340616Z digest=sha256:2e783ff6f739436bd0b37edb81625d92a5c2d493124ab8bde7296416c0e418f5

Observation 513a2e54-e0c2-4366-8a8d-7943c665781c · outbound

This paper cites Generalizable Synthetic Image Detection via Language-guided Contrastive Learning.

Multimodal Conditional Information Bottleneck for Generalizable AI-Generated Image Detection Generalizable Synthetic Image Detection via Language-guided Contrastive Learning

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-07T15:28:34.463086Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:28:34.463086Z digest=sha256:3ef4a87584b4f129c8e7489d6fef5bfac572568511ab7e1822ea7849c52fead4

Observation 841140f0-f564-4f15-9870-48f8fd01f5e3 · outbound

This paper cites Raising the Bar of AI-generated Image Detection with CLIP.

Multimodal Conditional Information Bottleneck for Generalizable AI-Generated Image Detection Raising the Bar of AI-generated Image Detection with CLIP

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:28:54.724738Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T15:28:34.599075Z digest=sha256:441bf47c58efcb9c8ba261401f4d72e70673476001cbe9440154e5be4d22fffe

Observation bea0f60f-c045-43a2-b27c-bf85015262f8 · outbound

This paper cites A Sanity Check for AI-generated Image Detection.

Multimodal Conditional Information Bottleneck for Generalizable AI-Generated Image Detection A Sanity Check for AI-generated Image Detection

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-07T15:28:34.739206Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:28:34.739206Z digest=sha256:f077918bef2cbbeedc39ef32e81db84d057b7657d2180e04ef75e1fbc0049d0b

Observation 3513ce86-67e0-4663-87b4-4fb950942fbc · outbound

This paper cites Learning transferable visual models from natural language supervision.

Multimodal Conditional Information Bottleneck for Generalizable AI-Generated Image Detection Learning transferable visual models from natural language supervision

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:28:54.411216Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T15:28:34.829442Z digest=sha256:ad461f5d444d718a6c33888679933d055373f618ea9f4c5abff1bd0b227a0e7f

Observation 4a91d813-8756-4a38-a2e6-6281b5d14662 · outbound

This paper cites Not All Features Matter: Enhancing Few-shot CLIP with Adaptive Prior Refinement.

Multimodal Conditional Information Bottleneck for Generalizable AI-Generated Image Detection Not All Features Matter: Enhancing Few-shot CLIP with Adaptive Prior Refinement

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:28:54.079904Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T15:28:34.980653Z digest=sha256:4f7e655a06a1026af3eeb776f0723bb5184076bdcc70f887d49da27719bcc4a2

Observation 0cecf1f5-801b-4390-bb6b-196775bf5814 · outbound

This paper cites A closer look at the explainability of contrastive language-image pre-training.

Multimodal Conditional Information Bottleneck for Generalizable AI-Generated Image Detection A closer look at the explainability of contrastive language-image pre-training

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:28:53.760712Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T15:28:35.157872Z digest=sha256:c28fc970bbb88152ac1bc98de56d3e876a9f74ce5c3ae1feefc237d961913507

Observation 77a2de36-edd2-4447-a28a-817ccf99225d · outbound

This paper cites De-fake: Detection and attribution of fake images generated by text-to-image generation models.

Multimodal Conditional Information Bottleneck for Generalizable AI-Generated Image Detection De-fake: Detection and attribution of fake images generated by text-to-image generation models

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:28:53.528330Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T15:28:35.266133Z digest=sha256:3aaf12e36f04046e1fabb677de966b166a37c2efe8885db3ca3f4673d8c1cda9

Observation 1f7eff52-c6bb-4be3-abe4-cb87f76aa4fe · outbound

This paper cites Multimodal information bottleneck: Learning minimal sufficient unimodal and multimodal representations.

Multimodal Conditional Information Bottleneck for Generalizable AI-Generated Image Detection Multimodal information bottleneck: Learning minimal sufficient unimodal and multimodal representations

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:28:53.223760Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T15:28:35.381365Z digest=sha256:69c12bcb1f488d3cb64f3b8416e9b845c24d0ba0b950f021cd3f1c3610836c73

Observation 4d709db9-2f8c-450f-84a7-692dec793e12 · outbound

This paper cites Dynamic Multimodal Information Bottleneck for Multimodality Classification.

Multimodal Conditional Information Bottleneck for Generalizable AI-Generated Image Detection Dynamic Multimodal Information Bottleneck for Multimodality Classification

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:28:52.916243Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T15:28:35.514830Z digest=sha256:204498a0c3fdbc7544514e2f1c7ce7a62f6cf09e90007ac6e3db2272b1d24d2a

Observation f8d2643b-19db-45f5-9b38-9435286e2031 · outbound

This paper cites Enhancing multimodal entity and relation extraction with variational information bottleneck.

Multimodal Conditional Information Bottleneck for Generalizable AI-Generated Image Detection Enhancing multimodal entity and relation extraction with variational information bottleneck

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:28:52.589373Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T15:28:35.657086Z digest=sha256:c86d6c964f8851a5610dc0f3ea2c2528e8a160fc7371019d1d6375ddd6085e97

Observation c2095ca2-9569-47aa-a699-1b5ca695525b · outbound

This paper cites Genimage: A million-scale benchmark for detecting ai-generated image.

Multimodal Conditional Information Bottleneck for Generalizable AI-Generated Image Detection Genimage: A million-scale benchmark for detecting ai-generated image

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:28:52.184854Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T15:28:35.846954Z digest=sha256:2cbe5e6a5fd52a1fb2d98bbbe7508ee14ac902d7432fada87432c6391e0ff7d3

Observation 74fc6151-81da-4014-a9de-93c523be263b · outbound

This paper cites Co-spy: Combining semantic and pixel features to detect synthetic images by ai.

Multimodal Conditional Information Bottleneck for Generalizable AI-Generated Image Detection Co-spy: Combining semantic and pixel features to detect synthetic images by ai

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:28:51.926052Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T15:28:35.951480Z digest=sha256:d633ad070e4dbcfc8b69ab8f3dc5849f956ad1d8ba543e7696f513fd5892caab

Observation 66cd60f5-f288-42c9-b2c8-129df793037d · outbound

This paper cites Large scale gan training for high fidelity natural image synthesis.

Multimodal Conditional Information Bottleneck for Generalizable AI-Generated Image Detection Large scale gan training for high fidelity natural image synthesis

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:28:51.621254Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T15:28:36.066624Z digest=sha256:62feddce000b441d47bb9887eee93301ff15059cff14dcac262c00b4f3387a2c

Observation fb72b1eb-e3cd-4cfc-b7db-197cce5c18ff · outbound

This paper cites A style-based generator architecture for generative adversarial networks.

Multimodal Conditional Information Bottleneck for Generalizable AI-Generated Image Detection A style-based generator architecture for generative adversarial networks

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-07T15:28:36.197672Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:28:36.197672Z digest=sha256:b1fa329fcbdcb184b5322e857efec720605fe665f9582dece980c15b3e515492

Observation 398c529b-c727-42ea-a31c-a95a088d4d0b · outbound

This paper cites Analyzing and improving the image quality of stylegan.

Multimodal Conditional Information Bottleneck for Generalizable AI-Generated Image Detection Analyzing and improving the image quality of stylegan

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-07T15:28:36.333256Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:28:36.333256Z digest=sha256:fab601f6aa63d23cbf419d69f048d11e7452f59a5a02e76fccc68cc0e0ba97aa

Observation fb6ed3b5-2e43-4c68-93cc-cced1598c99e · outbound

This paper cites Alias-free generative adversarial networks.

Multimodal Conditional Information Bottleneck for Generalizable AI-Generated Image Detection Alias-free generative adversarial networks

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:28:51.363931Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T15:28:36.457417Z digest=sha256:099cab466a15630577db0ee053855980d8a3f19ac0241b280a4948707c2dda1a

Observation d10916c7-186b-4a31-a8e3-7caaa24fd174 · outbound

This paper cites Stylegan-xl: Scaling stylegan to large diverse datasets.

Multimodal Conditional Information Bottleneck for Generalizable AI-Generated Image Detection Stylegan-xl: Scaling stylegan to large diverse datasets

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:28:51.057505Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T15:28:36.550968Z digest=sha256:0ec21604a2ac38ae08869c708ccf5c68aa212ab07bcd754786fe94cf54bdb75b

Observation 72447329-bd68-42ef-afe5-8075eee6f152 · outbound

This paper cites Denoising diffusion probabilistic models.

Multimodal Conditional Information Bottleneck for Generalizable AI-Generated Image Detection Denoising diffusion probabilistic models

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-07T15:28:36.639461Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:28:36.639461Z digest=sha256:54aab11c3f727d0b2db2ff141e8b3ae1392846ef61d91d137de1bfac083a3f7a

Observation 8836067f-1ca4-44a5-a8bd-2ceeb2d7e3fe · outbound

This paper cites Denoising diffusion implicit models.

Multimodal Conditional Information Bottleneck for Generalizable AI-Generated Image Detection Denoising diffusion implicit models

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-07T15:28:36.725005Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:28:36.725005Z digest=sha256:572e9976ab50b622fd37cb3af1de2f25d25f7e09607261632bb48c17d55260b9

Observation 4a44b70a-c065-47a8-93ff-15b3241bd4a8 · outbound

This paper cites High-resolution image synthesis with latent diffusion models.

Multimodal Conditional Information Bottleneck for Generalizable AI-Generated Image Detection High-resolution image synthesis with latent diffusion models

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-07T15:28:36.791291Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:28:36.791291Z digest=sha256:aa1dfed1df576d43755575c62566190533811dba45275b446288254a36a0fe7d

Observation c94bac6a-3d91-4f82-9734-c20a7ce5c0df · outbound

This paper cites Adding conditional control to text-to-image diffusion models.

Multimodal Conditional Information Bottleneck for Generalizable AI-Generated Image Detection Adding conditional control to text-to-image diffusion models

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-07T15:28:36.884017Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:28:36.884017Z digest=sha256:fdaeac0cdea70ae264f115b94735f42226e0695892f1eedb30d4622dffebcbc3

Observation 0ba77593-41d8-40df-a34c-d3f4b2d28341 · outbound

This paper cites Sdxl: Improving latent diffusion models for high-resolution image synthesis.

Multimodal Conditional Information Bottleneck for Generalizable AI-Generated Image Detection Sdxl: Improving latent diffusion models for high-resolution image synthesis

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-07T15:28:36.987663Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:28:36.987663Z digest=sha256:976aa6d5e2c357db4a96afd9508dd49471402a76f2f2466f2ceebff4254977ab

Observation 0d2885ce-ae35-455f-b2f9-5e57c112b1b5 · outbound

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

Multimodal Conditional Information Bottleneck for Generalizable AI-Generated Image Detection Cnn- generated images are surprisingly easy to spot

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:28:50.822063Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T15:28:37.137546Z digest=sha256:e3ca7e467c687a85732f777982f98cc830f5c4453bee6a97abccb4d96e76acc7

Observation 6bdd4fa0-c80d-4b7e-8609-71f51ddfb357 · outbound

This paper cites FaceForensics++: Learning to Detect Manipulated Facial Images.

Multimodal Conditional Information Bottleneck for Generalizable AI-Generated Image Detection FaceForensics++: Learning to Detect Manipulated Facial Images

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:28:50.659989Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T15:28:37.254686Z digest=sha256:0d741d9ea19acd0156e26075b2412b056b334222d3ada2d87dff88ef41870f80

Observation a4aa9998-1d77-44ed-9cec-96e7aaf5973e · outbound

This paper cites Self-supervised adversarial training for robust face forgery detection.

Multimodal Conditional Information Bottleneck for Generalizable AI-Generated Image Detection Self-supervised adversarial training for robust face forgery detection

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:28:50.373113Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T15:28:37.321027Z digest=sha256:7dbb2c7419ade29861de85494f1b52406adc15f91b53f44410b1a429004081a9

Observation bc365a6d-abbe-4f0d-add8-bedfd1874852 · outbound

This paper cites Intrigu- ing properties of synthetic images: From generative adversarial networks to diffusion models.

Multimodal Conditional Information Bottleneck for Generalizable AI-Generated Image Detection Intrigu- ing properties of synthetic images: From generative adversarial networks to diffusion models

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:28:50.091364Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T15:28:37.419039Z digest=sha256:f756794fa2eaa5bd7382bd329e2ad6cda9d236a204679930a04483811ce5c0e6

Observation 3f85966e-708c-454a-8835-d41f29f5b173 · outbound

This paper cites Leveraging frequency analysis for deep fake image recognition.

Multimodal Conditional Information Bottleneck for Generalizable AI-Generated Image Detection Leveraging frequency analysis for deep fake image recognition

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:28:49.815810Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T15:28:37.534369Z digest=sha256:dcf589c8da337cba444515c57d21c3e7c46b069677c78a769fcc6725804a7942

Observation a9307356-2140-4f83-a86d-a136c9d3ba20 · outbound

This paper cites Frequency domain image translation: More photo-realistic, better identity-preserving.

Multimodal Conditional Information Bottleneck for Generalizable AI-Generated Image Detection Frequency domain image translation: More photo-realistic, better identity-preserving

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:28:49.539861Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T15:28:37.643190Z digest=sha256:ddc7aaa8d56e7a1be7c7d215028d38cf8e78ae876b5bad32d57861054dd22a8a

Observation a4cd7948-3973-4c70-b0f7-297379968501 · outbound

This paper cites Dire for diffusion-generated image detection.

Multimodal Conditional Information Bottleneck for Generalizable AI-Generated Image Detection Dire for diffusion-generated image detection

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:28:49.318368Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T15:28:37.763085Z digest=sha256:4ed3c83a14ff2ceb663dea93a4d1f1d8721da3fe9b67fc9b5d5183f91940d067

Observation 92df321e-5c2c-48ec-bda6-fb5ed481e73b · outbound

This paper cites DRCT: Diffusion reconstruction contrastive training towards universal detection of diffusion generated images.

Multimodal Conditional Information Bottleneck for Generalizable AI-Generated Image Detection DRCT: Diffusion reconstruction contrastive training towards universal detection of diffusion generated images

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:28:49.123210Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T15:28:37.865656Z digest=sha256:b487018050d374ba5de889193696166244d002304ff5a849e45efca7f6575b9b

Observation ac714134-a591-4bc3-97ef-ad29c83a8f2b · outbound

This paper cites How to trace latent generative model generated images without artificial watermark? In ICML, 2024.

Multimodal Conditional Information Bottleneck for Generalizable AI-Generated Image Detection How to trace latent generative model generated images without artificial watermark? In ICML, 2024

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:28:48.976006Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T15:28:38.003702Z digest=sha256:039d0e5aa9ec903b1a191a01303aef3deecfa3a3df479b31be441ca6b339830c

Observation 6f8c6ead-8018-4eb6-891c-93022a338336 · outbound

This paper cites Toward Generalizable Forgery Detection and Reasoning.

Multimodal Conditional Information Bottleneck for Generalizable AI-Generated Image Detection Toward Generalizable Forgery Detection and Reasoning

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-07T15:28:38.152980Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:28:38.152980Z digest=sha256:8e02f230a6590fd521a91ee957d8f837dd9931aec46ab4921a80adf85f9be1a6

Observation 0c2dea1b-fbe6-4ad9-9faa-39e040e979d6 · outbound

This paper cites C2p-clip: Injecting category common prompt in clip to enhance generalization in deepfake detection.

Multimodal Conditional Information Bottleneck for Generalizable AI-Generated Image Detection C2p-clip: Injecting category common prompt in clip to enhance generalization in deepfake detection

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:28:48.806273Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T15:28:38.294660Z digest=sha256:45b18663cbb25020399b84537e47861491fe72e3c78fa834b99ecb36a1976db8

Observation ce8d5741-7561-4258-a818-c63804c3cf25 · outbound

This paper cites Emergence of invariance and disentanglement in deep representations.

Multimodal Conditional Information Bottleneck for Generalizable AI-Generated Image Detection Emergence of invariance and disentanglement in deep representations

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:28:48.536947Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T15:28:38.462662Z digest=sha256:2bad1175ff744a066560e4fe419fbd75fef31b06479f74bd1db3f05a002d6b83

Observation d5727396-b824-4cc4-bd74-4e7579b753e2 · outbound

This paper cites Variational discriminator bottleneck: Improving imitation learning, inverse rl, and gans by constraining information flow.

Multimodal Conditional Information Bottleneck for Generalizable AI-Generated Image Detection Variational discriminator bottleneck: Improving imitation learning, inverse rl, and gans by constraining information flow

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:28:48.391262Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T15:28:38.575105Z digest=sha256:980c80bfcd2c995dfda1530e45b3db5efbbe01eca3fa59389e865f0c06441a05

Observation 82fc3a71-b05b-449c-b448-e8d8a2051c12 · outbound

This paper cites Learning efficient multi-agent communication: An information bottleneck approach.

Multimodal Conditional Information Bottleneck for Generalizable AI-Generated Image Detection Learning efficient multi-agent communication: An information bottleneck approach

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:28:48.247210Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T15:28:38.735630Z digest=sha256:5928ea3632b5fd0d41642b24f73d2dae782e9c399b820c9833fca1f30081dd77

Observation fe2796f4-b408-4c79-8bdb-bd3f59b4dab2 · outbound

This paper cites Information Bottleneck based Representation Learning for Multimodal Sentiment Analysis.

Multimodal Conditional Information Bottleneck for Generalizable AI-Generated Image Detection Information Bottleneck based Representation Learning for Multimodal Sentiment Analysis

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:28:48.078355Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T15:28:38.918656Z digest=sha256:0721253335e351170d328dfadab51a2441205fc0a8ffc102c2f452ae7ffa8c84

Observation 554ab787-bce0-49db-b338-08c5b2ab8808 · outbound

This paper cites Unpaired Image-to-Speech Synthesis With Multi- modal Information Bottleneck.

Multimodal Conditional Information Bottleneck for Generalizable AI-Generated Image Detection Unpaired Image-to-Speech Synthesis With Multi- modal Information Bottleneck

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:28:47.857333Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T15:28:39.040358Z digest=sha256:3e729e96a4622b2f819773d1565f9fa76626bb2355da9c1a40dc5833523943a6

Observation 5b2f6444-e51f-4a99-84e4-ee54393d9249 · outbound

This paper cites Visual explanations of image-text repre- sentations via multi-modal information bottleneck attribution.

Multimodal Conditional Information Bottleneck for Generalizable AI-Generated Image Detection Visual explanations of image-text repre- sentations via multi-modal information bottleneck attribution

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:28:47.584199Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T15:28:39.238751Z digest=sha256:e1cfea6a19a8432b53f9adaf67b2ec44f2af75d7803035c953ce2ed7a039d984

Observation 0ad98f87-625b-470f-82f2-874155edb64c · outbound

This paper cites Conditional information bottleneck approach for time series imputation.

Multimodal Conditional Information Bottleneck for Generalizable AI-Generated Image Detection Conditional information bottleneck approach for time series imputation

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:28:47.337527Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T15:28:39.392107Z digest=sha256:87f73b8bdfd76b494b54f4a28a7e717afecb607b81d484460109e8a5bb3d1367

Observation ea40036b-9c3b-4895-8098-2da1823dbde2 · outbound

This paper cites Na, Sungwon Kim, Junseok Lee, and Chanyoung Park.

Multimodal Conditional Information Bottleneck for Generalizable AI-Generated Image Detection Na, Sungwon Kim, Junseok Lee, and Chanyoung Park

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:28:47.110071Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T15:28:39.546687Z digest=sha256:59dad32d848af73069e7c3a729eee8ff8a22a21905f255133a4033d6dd065a4a

Observation 20c517de-55e3-4d87-bdef-2bb96e6faec6 · outbound

This paper cites Information Bottleneck Disentanglement for Identity Swapping.

Multimodal Conditional Information Bottleneck for Generalizable AI-Generated Image Detection Information Bottleneck Disentanglement for Identity Swapping

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:28:46.703973Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T15:28:39.645529Z digest=sha256:8f1eb05e570699a9ff12a5ab9c695eb61da1721fa9c3a0b43dd5b04b543c3966

Observation a0d847ee-8470-486d-a1a9-d336e3f1531c · outbound

This paper cites Infogcn: Representation learning for human skeleton-based action recognition.

Multimodal Conditional Information Bottleneck for Generalizable AI-Generated Image Detection Infogcn: Representation learning for human skeleton-based action recognition

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:28:46.388115Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T15:28:39.751306Z digest=sha256:996d44551d1a8ccc95169aa2ad2cf65cf17309c1099b9e38a840c9b817946e70

Observation 2349c732-0449-4981-8474-1a5591deb206 · outbound

This paper cites Training generative neural networks via maximum mean discrepancy optimization.

Multimodal Conditional Information Bottleneck for Generalizable AI-Generated Image Detection Training generative neural networks via maximum mean discrepancy optimization

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:28:46.121769Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T15:28:39.895784Z digest=sha256:8b89bbb96c06eb6717eb0a71fbbff7fbbc71427f49115f4928620682d46f90f1

Observation 16d48f7f-57d5-4c81-b20d-e7e0fda94d7b · outbound

This paper cites InfoVAE: Information Maximizing Variational Autoencoders.

Multimodal Conditional Information Bottleneck for Generalizable AI-Generated Image Detection InfoVAE: Information Maximizing Variational Autoencoders

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-07T15:28:40.024322Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:28:40.024322Z digest=sha256:91e66a6a7d55970c512285d4d1e6a6055e4ae86662c5d0dabb7037f546b595d9

Observation a415f9d3-9f81-4850-915c-558d904ce011 · outbound

This paper cites Auto-Encoding Variational Bayes.

Multimodal Conditional Information Bottleneck for Generalizable AI-Generated Image Detection Auto-Encoding Variational Bayes

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-07T15:28:40.212524Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:28:40.212524Z digest=sha256:3a507637f577ec70e4c2243edf240ac08be9e012ccdac287f36b39547f9e0f99

Observation 331601e3-38e5-42fd-8062-d6669e26333a · outbound

This paper cites Internvl: Scaling up vision foundation models and aligning for generic visual-linguistic tasks.

Multimodal Conditional Information Bottleneck for Generalizable AI-Generated Image Detection Internvl: Scaling up vision foundation models and aligning for generic visual-linguistic tasks

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:28:45.806238Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T15:28:40.348279Z digest=sha256:4ab04751e1c3e29e28faf342654a6b06a66e96396f95b0503bf454cff77783fa

Observation 5cf90f97-923b-4e43-b955-d5c246a7ef32 · outbound

This paper cites Frequency-aware deepfake detection: Improving generalizability through frequency space domain learning.

Multimodal Conditional Information Bottleneck for Generalizable AI-Generated Image Detection Frequency-aware deepfake detection: Improving generalizability through frequency space domain learning

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:28:45.512487Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T15:28:40.444460Z digest=sha256:d18bb1b235a9923061c81de2f8952c71347be8d43a104d80478c53488d62ec10

Observation bbd2fae5-a779-4ac1-af87-c168a920396f · outbound

This paper cites Fusing global and local features for generalized ai-synthesized image detection.

Multimodal Conditional Information Bottleneck for Generalizable AI-Generated Image Detection Fusing global and local features for generalized ai-synthesized image detection

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:28:45.255158Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T15:28:40.530955Z digest=sha256:177ee5e7e9fe0c5f127aa8d1c96e8f52af183b325f9c4016da8d656f61a8d88f

Observation 93286b34-689a-4a8f-8b03-fd9aa41b3ecd · outbound

This paper cites Rethink- ing the up-sampling operations in cnn-based generative network for generalizable deepfake detection.

Multimodal Conditional Information Bottleneck for Generalizable AI-Generated Image Detection Rethink- ing the up-sampling operations in cnn-based generative network for generalizable deepfake detection

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:28:44.970422Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T15:28:40.674234Z digest=sha256:c5c1782d3a0269e02f5fff74567afcb7b0ff8e3183a83d8d1e932d0b12128256

Observation a30eb713-242d-431a-91c5-bfaa776879d5 · outbound

This paper cites MINE: Mutual Information Neural Estimation.

Multimodal Conditional Information Bottleneck for Generalizable AI-Generated Image Detection MINE: Mutual Information Neural Estimation

Reference 58

Resolution
unresolved
no resolver link, observed 2026-08-07T15:28:40.750740Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:28:40.750740Z digest=sha256:b8bd72ffaea314ac1bae070dbfc15bf630a1f913e9b0fc6b6a5c9d1786994d7c

Observation 306703f3-1a0f-4ce1-b0e8-04afd5feaf24 · outbound

This paper cites Assessing neural network representations during training using noise-resilient diffusion spectral entropy.

Multimodal Conditional Information Bottleneck for Generalizable AI-Generated Image Detection Assessing neural network representations during training using noise-resilient diffusion spectral entropy

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:28:44.695859Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T15:28:40.917717Z digest=sha256:c9fe3cea63754e3c70517607dbf7923e3d2fbbb9cb010c8a67d4c4f58bff75da

Observation 3d94c968-03d2-4c5c-98a3-4aa840626117 · outbound

This paper cites A benchmark suite for evaluating neural mutual information estimators on unstructured datasets.

Multimodal Conditional Information Bottleneck for Generalizable AI-Generated Image Detection A benchmark suite for evaluating neural mutual information estimators on unstructured datasets

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:28:44.432959Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T15:28:41.076351Z digest=sha256:03747b98025b5affa99525f5f8d53f9e55949b15ecb4ac7fe4292bae2b2b4ca8

Observation 83290eac-6a69-476a-983b-ee1d6c441f45 · outbound

This paper cites Learning deep representations by mutual information estimation and maximization.

Multimodal Conditional Information Bottleneck for Generalizable AI-Generated Image Detection Learning deep representations by mutual information estimation and maximization

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:28:44.184945Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T15:28:41.154778Z digest=sha256:9c10f78e617191dee4208e43aaa4551923e1d66111321ad503782d4985e19fd5

Observation 678251de-d5bd-4817-bce2-c26c0bc38b1e · outbound

This paper cites Laion-400m: Open dataset of clip-filtered 400 million image-text pairs.

Multimodal Conditional Information Bottleneck for Generalizable AI-Generated Image Detection Laion-400m: Open dataset of clip-filtered 400 million image-text pairs

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:28:43.993882Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T15:28:41.278359Z digest=sha256:6b259cf3ee5e78b3a842167d98737886b1de8eb8f6ab4fe74526dcbc503335b3

Observation a236f3a1-7949-4c69-a014-a485935d3223 · outbound

This paper cites Interpreting clip’s image representa- tion via text-based decomposition.

Multimodal Conditional Information Bottleneck for Generalizable AI-Generated Image Detection Interpreting clip’s image representa- tion via text-based decomposition

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:28:43.681305Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T15:28:41.428082Z digest=sha256:41d7caebfb1437eadb28e737277c2c535d7671a33ea84919425bf6093b08e576

Observation 4d0b3fad-3d40-40fe-9cd1-c582eb5fc527 · outbound

This paper cites Progressive growing of gans for improved quality, stability, and variation.

Multimodal Conditional Information Bottleneck for Generalizable AI-Generated Image Detection Progressive growing of gans for improved quality, stability, and variation

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:28:43.337538Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T15:28:41.480543Z digest=sha256:e59094c6caa8e1ce16f7d44488c67081df31fff0926a6f280c967d022e5024eb

Observation 933506fa-9570-44af-988f-93a5e7ef754d · outbound

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

Multimodal Conditional Information Bottleneck for Generalizable AI-Generated Image Detection PatchCraft: Exploring Texture Patch for Efficient AI-generated Image Detection

Reference 65

Resolution
unresolved
no resolver link, observed 2026-08-07T15:28:41.582083Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:28:41.582083Z digest=sha256:e10069ac10c379733062a9524ff4b521ef37315023035ae24edaa4ad4e52d271

Observation 008ab3fb-34df-49cb-91d5-bf317a7446ba · outbound

This paper cites Detecting generated images by real images.

Multimodal Conditional Information Bottleneck for Generalizable AI-Generated Image Detection Detecting generated images by real images

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:28:43.058157Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T15:28:41.752111Z digest=sha256:091c15587bc8abc06dd5f7cb80f5fc2c7653ba689b68dc4d6d2b7efc71fe72a9

Observation 239d5192-88d1-4f05-8d13-3b5233872af3 · outbound

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

Multimodal Conditional Information Bottleneck for Generalizable AI-Generated Image Detection Learning on Gradients: Generalized Artifacts Representation for GAN-Generated Images Detection

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:28:42.712365Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T15:28:41.869607Z digest=sha256:923e8960882970d7cc201e3dedf7fdc8fe8e9c8c40ba4ef9ef87bd99ee99a146

Observation 25d7d083-ce5d-4dbc-8791-c25bc7cf372b · outbound

This paper cites bias” we identified before. We attribute Layer11’s superior performance to its balance between feature extraction and “bias.

Multimodal Conditional Information Bottleneck for Generalizable AI-Generated Image Detection bias” we identified before. We attribute Layer11’s superior performance to its balance between feature extraction and “bias

Reference 68

Resolution
verified exact
raw_fallback, observed 2026-08-07T15:28:42.377401Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T15:28:41.978331Z digest=sha256:2c6b34a33c93f5086b9f5dcfc98c22527f6644f6c28d487d5dc1562d94756346

Pith citing papers

Observation f4cd2727-e4b4-475e-9625-8503d2d33568 · inbound

IncreFA: Breaking the Static Wall of Generative Model Attribution cites this paper.

IncreFA: Breaking the Static Wall of Generative Model Attribution Multimodal Conditional Information Bottleneck for Generalizable AI-Generated Image Detection

Reference 40

Resolution
verified exact
arxiv_id, observed 2026-05-10T05:36:01.498763Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-10T05:35:46.381465Z digest=sha256:1fa47b17bad10fc35c645d98181ed90fad15a5b149430f8837119a921944a4c2

Observation 350a09a6-c515-4394-905d-876e11e6f169 · inbound

CoDA: Color Distribution Probing for Efficient and Generalizable AI-Generated Image Detection cites this paper.

CoDA: Color Distribution Probing for Efficient and Generalizable AI-Generated Image Detection Multimodal Conditional Information Bottleneck for Generalizable AI-Generated Image Detection

Reference 32

Resolution
verified exact
arxiv_id, observed 2026-06-30T14:24:44.819386Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-06-30T14:23:39.468471Z digest=sha256:088de64737f1e2bb096127e4e410addecc9948892e52c1224a57ca43b8007614

Observation b51ef482-0f8b-4969-850b-96ecff96020e · inbound

VGIF-Score: Interpretable and Diagnostic Evaluation of Spatio-Temporal Instruction Following in Video Generation cites this paper.

VGIF-Score: Interpretable and Diagnostic Evaluation of Spatio-Temporal Instruction Following in Video Generation Multimodal Conditional Information Bottleneck for Generalizable AI-Generated Image Detection

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-02T04:57:35.293936Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T04:57:35.293936Z digest=sha256:a2008a119f97d1aed50befad9f6a2e2f6a879763095317fb789539ea520b004c

Observation 92772f4b-262e-421b-a2f2-d65a5d4d621f · inbound

FlexiGrad: Adaptive Gradient Modulation for Hierarchical Fine-Grained Classification cites this paper.

FlexiGrad: Adaptive Gradient Modulation for Hierarchical Fine-Grained Classification Multimodal Conditional Information Bottleneck for Generalizable AI-Generated Image Detection

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-01T17:41:54.943958Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T17:41:54.943958Z digest=sha256:45cf2e6eed695cb808058c15b1e6b356f512d408bfce9df3546b642578dd5e8f