Pith. sign in

Paper Citation Record · LEDGER

Multimodal Conditional Information Bottleneck for Generalizable AI-Generated Image Detection

As of 7 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 2026-08-07T06:34:17.273281+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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T15:28:33.608924Z digest=sha256:411e3284f1f68a63780276d02f73f02c848dcc54f7afd0154f6afd3e32e81b8e

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T15:28:33.669639Z digest=sha256:5898d883c51ed175675909b3ece0f130ae6da29745560987f1327e1945f49e88

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T15:28:33.789496Z digest=sha256:2bb87f25d51ddce809c4d6fe7e711a7a25585fd26362259dbd1b660c7561d098

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T15:28:33.910589Z digest=sha256:8c36dc382dfdff57cf7a881e3c1378ec297d924b4d55c8242fd35a8c89abf04a

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T15:28:34.080621Z digest=sha256:3af7c0019b4c28d12051135256e78da872f3f8da953b6eb25ccd5f980206cf18

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T15:28:34.210243Z digest=sha256:4652836580b8fd61eb4d368b6b42e720f225ba65613d39d381bb1b5124fca4e8

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T15:28:34.340616Z digest=sha256:0636093bcd1a098cf356da4090a5e5d797c3ca7980ace36489c0aa68b8204aca

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:a1cc2560149c2a103eed56d50dae0eeff5144e53afd2c2d2fdc8f4f26ab71b78

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T15:28:34.599075Z digest=sha256:81dc5d1f7122a941fb50b95e395fcc235a1b0bac2339d25e3a6e3cb75ed8ee8e

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=sha256:0c3c773618151b303c206dc74311a2b7450cc8b8f3ee05276151c4ab6cc97c89

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T15:28:34.829442Z digest=sha256:6d46d6c6d73b1c6c544a39db20a1ea96519d8971a492d98c21a726da7c796cb9

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T15:28:34.980653Z digest=sha256:04de5f6c1fbe08ddc396cfcf383950e880951315f3f87e81f98df6ba434b4c1b

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T15:28:35.157872Z digest=sha256:e08e9f1961f86872dd58f5ee456e0efd1f20c6c7cff3c95fa3e0aa1d62c819da

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T15:28:35.266133Z digest=sha256:69c0fc157271ed43e8e5a2912985faf1ab94fd06e58d0ea998ac8497c5456e6e

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T15:28:35.381365Z digest=sha256:8dddbb55cf787b99a287ce92dc5eca15e0a02a335348b070c69fa4209ea8b4f2

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T15:28:35.514830Z digest=sha256:feb7c62fea30b8e0443df3cc6f271d8287832d2ac82ae73a0a5f57f3bad30334

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T15:28:35.657086Z digest=sha256:11c1dab6ffcfe997e3d6ad0fdbe98119c6ea53b3834b525b3fa24dd8aaf1fe3d

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T15:28:35.846954Z digest=sha256:2c735c7cb7c328d446ce664fce8c2e1bf670735ebd2f6f2c682dae6c24de5c5a

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T15:28:35.951480Z digest=sha256:72f5b6dac8769fc4d4e84993962106a2705f9b808fab630eee4697289e340277

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T15:28:36.066624Z digest=sha256:acb7b3fd5a03abf4db1af700b05869cb82d1ec484c4b0848a9279b460e311e70

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=sha256:593eebebe86f1386ae7cfbe42b62255cfde441c8cdcffe818bd96a661afa8538

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:d8d2614e1e82ed55b69cb1b7a7d7fe8b65ff5c0f06b1ac7e32db828b8763260e

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T15:28:36.457417Z digest=sha256:98ffdc04c668ce5c894b47fe2d346109fd1ac677d698a381b948243d2b43affb

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T15:28:36.550968Z digest=sha256:9f67f27906d5277efee1d512e1b7d147899b731e008eb0a1ee95c0305c30ca17

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:b5e0953ecced4e3da28534fa3f6dac4d6809a3b8dfc3c31d501f15d6d874acbf

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=sha256:20de3bae712976540658375cfadf7baace24fb8d9b84288467f661cc39c0b88f

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=sha256:9cb7ad50ed27bf4fade374f9efac872531254e29844ecd611674b82d27fb82e0

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:f8f31f4736fc9139d394782343914dc45ba02380fce9e8859831b6da3a884973

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=sha256:6c6593723993e72080434a35d3bb1d5152c731d92b9069184407bcf2d25c7b54

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T15:28:37.137546Z digest=sha256:c706113d2a32c7917b21e9ed6d56d27c46af40d257b839f0d742fa25bedf5b21

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T15:28:37.254686Z digest=sha256:107328a66d878ebd7c53b1c1f1c91c7af6a119d955ae0d10f05eb80f8d45cbd4

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T15:28:37.321027Z digest=sha256:ddaf972a840c0d8f16373898d5af37e98ec6b4627e461703b57411e6d57e329b

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T15:28:37.419039Z digest=sha256:b685e3bb69d5afe0f5103e4acc7451c49aa8daac1423c63228a92c075f56547c

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T15:28:37.534369Z digest=sha256:6efefd3c5c38cf2cc78a4978233768d4f024e903670dc7692f6909250a0c9581

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T15:28:37.643190Z digest=sha256:6b62887a4ea0dfd2cb1846256836c0f91682f97b0ba4ff6fab27ed91ae768c16

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T15:28:37.763085Z digest=sha256:1d51208ce2167d4fb6a69d702a9b59a22db33a778376158a4320cb3abcc77018

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T15:28:37.865656Z digest=sha256:b4823287de9fc5e729d48d039cc2a8847609fd3e713835d8096f6438d8f2bc9a

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T15:28:38.003702Z digest=sha256:c0eec0a4559db082d097abf77f6d886cdaf9e79b4157491b787786ec3eb67660

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=sha256:533fe32b4e2484547933260a1e95f6c4dfe7eb64ff5838655f0504624f5ae8a5

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T15:28:38.294660Z digest=sha256:0d7d5bf84dcfd284822ecc930bf314f16b37281c3cff9741fa6c3149e002a260

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T15:28:38.462662Z digest=sha256:65cc37f42130ea778cbd822203ac2640bcd613b4208c46acceed4bf86dc02e89

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T15:28:38.575105Z digest=sha256:75571ca5111abbc93523e0c8db7422bc15bcc9619975d9e0570c8e46d8f36746

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T15:28:38.735630Z digest=sha256:54a005e76c12a070b9852618a9f6b0e6d33ada03598cc6732f95cc7b2b4d2ca1

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T15:28:38.918656Z digest=sha256:0e43cd9a5fc65129038a04af451158ed263fd585a506ff5932c7be761d05e220

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T15:28:39.040358Z digest=sha256:8185416fa3497b814053b246d7eefc7e3cca89eb262e4aa7ed493cf78128474f

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T15:28:39.238751Z digest=sha256:9802d15b458907195460ebf6438c0dd3ce31e1b5c06e603c96a6b30e7cd950a2

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T15:28:39.392107Z digest=sha256:f765bf94741c5a5008c229c7a5f453844c535c6aac44b9d9c8ac46cbe8be0526

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T15:28:39.546687Z digest=sha256:e0be4ff97a9292c335253028e13e64b3213d67bbf6b11c921ac6a28aff9bd341

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T15:28:39.645529Z digest=sha256:0d31ed55e236c4c74c1ec5e60a83f092deb192edb6f3eedc62fe9798158aade0

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T15:28:39.751306Z digest=sha256:fa7f2d585593806be8c23383967c9cbf3f92060dd92fe362956baadbd1a2392c

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T15:28:39.895784Z digest=sha256:e3bf4ead8d5f8a23e28eb245e859f45afddfb5bb75f9173b208bfb05e68df218

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=sha256:3ffbbc2d3fbf92d759a7c39dbaf066d9a56f6e46c25bc9c52658521e8433c067

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=sha256:6c9aa8991046ab11bdb46abf75b70bd9ba86d12913b079a39e047f6245e98427

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T15:28:40.348279Z digest=sha256:6530e7deeb90cc2ce92e0c5583b1ff0d23ec3a25b02b1a46f3aa5a2c9e6f3995

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T15:28:40.444460Z digest=sha256:c6c293cf21569466daf1e3ffd21ca8ed8c9d807474d68b525e70fd97a9ebe25b

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T15:28:40.530955Z digest=sha256:052588f786a3f52a1be200126da18b4d2b56a8937b6abeff76266af8cbdd8838

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T15:28:40.674234Z digest=sha256:48f4610942d512d5fe36bbef9ca519466e4ca478bb4ed11df5d48f43faeb7d89

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=sha256:95766b1aff45f2b9c3cf8d795fc2abf3a8f47b75f3fca083f6c9646342cf3240

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T15:28:40.917717Z digest=sha256:0c1d69b1ffb78f00975cc06423b0939a30dbb30eb0c82ba8bd7fbef9fc711137

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T15:28:41.076351Z digest=sha256:28f77eb9d9c3566d9f38f5819dcea357218c0d9117dc07ef5eac0edc90fdf7bb

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T15:28:41.154778Z digest=sha256:79f04ca8f7f8c9e57737dd0ea8af673653a820e115adf15838358bc92bc9b94e

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T15:28:41.278359Z digest=sha256:69b85d1b1754e627a0c5d532db584ee90077503ce0fd7715566ff9d51ab2453d

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T15:28:41.428082Z digest=sha256:c03fd6574e9be328a68598cd6de8dd992d1711937c296c66cd158215efc4bb33

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T15:28:41.480543Z digest=sha256:04746f1ad63c1de2754891f1401f6aec8282848dae3b2cd9289f5a12f1a6d41d

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:fc40567f07bf273d1e51a12066803b327f31c8f295bf248c762c49b826e05b58

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T15:28:41.752111Z digest=sha256:4197e98b8be27fc25e143804e8adcb050827aa6e2f1660fe36101cf0d8fa7b7f

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T15:28:41.869607Z digest=sha256:8d500e05d083ad6c4bc3f04f076d3c51e1b45c6e82d6c9b2078cf3834c09a024

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T15:28:41.978331Z digest=sha256:07a3751daa3d74f1510c32858ff8ec559d11a2b5e13b9eafb85c35e253689483

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T05:35:46.381465Z digest=sha256:787cc5682d193c360778cc02b2b777d81fcb4709d9f9f75afe857733b4c6d22a

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-30T14:23:39.468471Z digest=sha256:d3abb1be3fc81bac4293b7c3b65f820a0e8fed29e7bad295e80e02c489cd4a11

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=sha256:7a5e89df37b1be9baa49571b45ba135249d2638f4d5bc4a038bada56e5dc2693

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=sha256:697aa408c063d74e089efbd11479e9c5f3596982c70f12a525935067904a123e