Pith. sign in

Paper Citation Record · LEDGER

Can Visual Mamba Improve AI-Generated Image Detection? An In-Depth Investigation

As of 15 August 2026, this Paper Citation Record lists 86 of 86 outbound references and 0 inbound Pith citation observations for arXiv:2605.14799.

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

pith.paper-citation-record.v1
2605.14799 v2

Coverage vector

measured 86 of 86 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-30T21:17:16.489486Z

measured 86 of 86 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

86 of 86 outbound references displayed

  • verified exact33
  • verified fuzzy46
  • unresolved5
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 64ecd694-fe2d-4ab8-9e33-c55c12f5673a · outbound

This paper cites Create with firefly generative ai.https://www.adobe.com/products/firefly.html.

Can Visual Mamba Improve AI-Generated Image Detection? An In-Depth Investigation Create with firefly generative ai.https://www.adobe.com/products/firefly.html

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T17:34:02.258914Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-30T21:17:16.489486Z digest=sha256:928f1cad36d02bf4c88e6e906b8e17de2050ed26eb83f5ae3ef6f749d5c36013

Observation fdad8ba6-9401-4471-b1ba-0a03b2db7c93 · outbound

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

Can Visual Mamba Improve AI-Generated Image Detection? An In-Depth Investigation Large Scale GAN Training for High Fidelity Natural Image Synthesis

Reference 2

Resolution
verified exact
local_arxiv, observed 2026-07-01T14:35:46.421188Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-30T21:17:16.489486Z digest=sha256:36f888501a85ecddb5ddfe353ba71353c5cdb2c99cb49a761a114f1875ed3187

Observation 736562b4-d91f-449b-9b49-c40d10a7ad8a · outbound

This paper cites an unresolved cited work.

Can Visual Mamba Improve AI-Generated Image Detection? An In-Depth Investigation Unresolved cited work

Reference 3

Resolution
unresolved
raw_fallback, observed 2026-07-07T17:34:02.263728Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-30T21:17:16.489486Z digest=sha256:68462fa6d7575eb6e5ed380c767a595cfd0a815687f96ab62fb87f7bd8b57745

Observation 3647cf85-31e0-426b-af34-d7149fad790a · outbound

This paper cites AntifakePrompt: Prompt-Tuned Vision-Language Models are Fake Image Detectors.

Can Visual Mamba Improve AI-Generated Image Detection? An In-Depth Investigation AntifakePrompt: Prompt-Tuned Vision-Language Models are Fake Image Detectors

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-07-01T14:35:46.451537Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-30T21:17:16.489486Z digest=sha256:cad420ccb7e6b9956bdf3a913a7360a546f604c27cfae34d852230552b29a8f0

Observation 00f1b4b9-ba41-4745-beb6-79f41e101d86 · outbound

This paper cites Learning to see in the dark, in: Proceedings of the IEEE conference on computer vision and pattern recognition, pp.

Can Visual Mamba Improve AI-Generated Image Detection? An In-Depth Investigation Learning to see in the dark, in: Proceedings of the IEEE conference on computer vision and pattern recognition, pp

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T17:34:02.265643Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-30T21:17:16.489486Z digest=sha256:b83633bbad10e5ae639d5e7744a00daf9f8a3a599d7e0334e9f71f9b3790f1aa

Observation 2a6cdc1f-05eb-4a93-922b-d1d5979d0c9e · outbound

This paper cites Photographic image synthesis with cascaded refinement networks, in: Proceedings of the IEEE international conference on computer vision, pp.

Can Visual Mamba Improve AI-Generated Image Detection? An In-Depth Investigation Photographic image synthesis with cascaded refinement networks, in: Proceedings of the IEEE international conference on computer vision, pp

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T17:34:02.296885Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-30T21:17:16.489486Z digest=sha256:6fdd2bece9decd53ff1d9b4e7a022f35407889829ca57bf0bf64df717e121640

Observation ae091159-c592-4b5d-ba8f-d74d88c3b13f · outbound

This paper cites ForgeLens: Data-Efficient Forgery Focus for Generalizable Forgery Image Detection.

Can Visual Mamba Improve AI-Generated Image Detection? An In-Depth Investigation ForgeLens: Data-Efficient Forgery Focus for Generalizable Forgery Image Detection

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-07-01T14:35:46.442637Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-30T21:17:16.489486Z digest=sha256:e450195f820b13c9013a234e3c6f654159aac57c70c106d3662cdbdca3df56c9

Observation 72cd42a7-4575-4c91-b368-7124ffd89a1a · outbound

This paper cites Stargan: Unified generative adversarial networks for multi-domain image-to- image translation, in: Proceedings of the IEEE conference on computer vision and pattern recognition, pp.

Can Visual Mamba Improve AI-Generated Image Detection? An In-Depth Investigation Stargan: Unified generative adversarial networks for multi-domain image-to- image translation, in: Proceedings of the IEEE conference on computer vision and pattern recognition, pp

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T17:34:02.359567Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-30T21:17:16.489486Z digest=sha256:4696cf285f04929c4f77e1d343cb6a6d84f52ee6d449d2fc27ab393d639f44c3

Observation c5a0f0f1-0980-4356-a32e-8c957d60b7e4 · outbound

This paper cites Xception:Deeplearningwithdepthwiseseparableconvolutions,in:ProceedingsoftheIEEEconferenceoncomputervision and pattern recognition, pp.

Can Visual Mamba Improve AI-Generated Image Detection? An In-Depth Investigation Xception:Deeplearningwithdepthwiseseparableconvolutions,in:ProceedingsoftheIEEEconferenceoncomputervision and pattern recognition, pp

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T17:34:02.333364Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-30T21:17:16.489486Z digest=sha256:96ce39b009b4cf0070f61c0393d88e581f245afbd2722d12dafe49d50be1bb43

Observation 9cc40914-eae4-4e8e-b316-55cb01541895 · outbound

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

Can Visual Mamba Improve AI-Generated Image Detection? An In-Depth Investigation Raising the Bar of AI-generated Image Detection with CLIP

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-07-01T14:35:46.448046Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-30T21:17:16.489486Z digest=sha256:6eba77aa5a4073f4530c1b3f9338369a4b622984dfe25776db5491128a7d10c2

Observation 01220c46-5333-4df9-9518-b9bc9461ca2a · outbound

This paper cites Second-order attention network for single image super-resolution, in: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition, pp.

Can Visual Mamba Improve AI-Generated Image Detection? An In-Depth Investigation Second-order attention network for single image super-resolution, in: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition, pp

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T17:34:02.340751Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-30T21:17:16.489486Z digest=sha256:c6fd5f49b2f6118f40929c9aebf7fb2e74832a31ced79c0dfda4d255924c5a4d

Observation 612ebbae-2fe8-4afc-9b7e-7a19e8d82e51 · outbound

This paper cites InstructBLIP: Towards General-purpose Vision-Language Models with Instruction Tuning.

Can Visual Mamba Improve AI-Generated Image Detection? An In-Depth Investigation InstructBLIP: Towards General-purpose Vision-Language Models with Instruction Tuning

Reference 12

Resolution
verified exact
local_arxiv, observed 2026-07-01T14:35:46.431664Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-30T21:17:16.489486Z digest=sha256:586a0935e6ef39cc057177bd3db0ae7d171fe78bf39278ab3524b1195d6c8bc1

Observation c022fa05-2e4d-4aa8-802c-e19b709456ac · outbound

This paper cites Transformers are SSMs: Generalized Models and Efficient Algorithms Through Structured State Space Duality.

Can Visual Mamba Improve AI-Generated Image Detection? An In-Depth Investigation Transformers are SSMs: Generalized Models and Efficient Algorithms Through Structured State Space Duality

Reference 13

Resolution
verified exact
local_arxiv, observed 2026-07-01T14:25:47.205600Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-30T21:17:16.489486Z digest=sha256:c99529cb2756d34b2bde63fc0bf00fadff1d4988abc66f686c43ebbedbde050e

Observation a73d089e-8d75-479a-aabd-07aa0c7e2ee5 · outbound

This paper cites Vision Transformers Need Registers.

Can Visual Mamba Improve AI-Generated Image Detection? An In-Depth Investigation Vision Transformers Need Registers

Reference 14

Resolution
verified exact
local_arxiv, observed 2026-07-01T14:35:46.441340Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-30T21:17:16.489486Z digest=sha256:6b74f5da55a6c2f5a5c8ef0a647c013519d62f704c03efe14681f4b30a748439

Observation 1d2edee1-776d-4567-ac43-e77668d1d3bc · outbound

This paper cites Diffusion models beat gans on image synthesis.

Can Visual Mamba Improve AI-Generated Image Detection? An In-Depth Investigation Diffusion models beat gans on image synthesis

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T17:34:02.336878Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-30T21:17:16.489486Z digest=sha256:b9b9b83e58c55885760b7484e7bb5d3e4fc6a27f53ee2496a6556deb08a8cc18

Observation f3e04559-649b-4cbe-b1f2-7ef58e566c83 · outbound

This paper cites Cogview2:Fasterandbettertext-to-imagegenerationviahierarchicaltransformers.

Can Visual Mamba Improve AI-Generated Image Detection? An In-Depth Investigation Cogview2:Fasterandbettertext-to-imagegenerationviahierarchicaltransformers

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T17:34:02.355795Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-30T21:17:16.489486Z digest=sha256:ae2c77bb8714d6aacbef656387be12a13303690e42140bf80e33028e07500394

Observation 49974f14-87e3-41ab-ba3f-b3eaf568d2cd · outbound

This paper cites Fusion-Mamba for Cross-modality Object Detection.

Can Visual Mamba Improve AI-Generated Image Detection? An In-Depth Investigation Fusion-Mamba for Cross-modality Object Detection

Reference 17

Resolution
verified exact
arxiv_id, observed 2026-07-01T14:25:47.200012Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-30T21:17:16.489486Z digest=sha256:a4627cc28341114373b4efd27659e2d907fe3d5e439996447d863645165eae85

Observation 1a259dec-bf71-406c-95b4-dc9c0512b297 · outbound

This paper cites A synthetic data generation system based on the variational-autoencoder technique and the linked data paradigm.

Can Visual Mamba Improve AI-Generated Image Detection? An In-Depth Investigation A synthetic data generation system based on the variational-autoencoder technique and the linked data paradigm

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T17:34:02.311039Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-30T21:17:16.489486Z digest=sha256:16e9b674036db9d8aa9bbeabeeafec84f4ec98915572852eca2fb45ab94746d0

Observation bddda296-622d-4012-ae70-fac54ffe92b4 · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

Can Visual Mamba Improve AI-Generated Image Detection? An In-Depth Investigation An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 19

Resolution
verified exact
local_arxiv, observed 2026-07-01T14:25:47.202913Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-30T21:17:16.489486Z digest=sha256:d33702d23db4e020f656f6415340ef5199393e0b5c5aab52df29aefd26edc0e1

Observation 1b252e4c-ec71-4da0-8297-43ecd855e780 · outbound

This paper cites Generativeadversarialnets.

Can Visual Mamba Improve AI-Generated Image Detection? An In-Depth Investigation Generativeadversarialnets

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T17:34:02.314336Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-30T21:17:16.489486Z digest=sha256:62008cf7ae6a0c039188b041c70f13f3685397206572bef67eb7c3f610a46581

Observation 2d297f09-0409-4ff1-bc3e-8acd263de61f · outbound

This paper cites Mamba: Linear-Time Sequence Modeling with Selective State Spaces.

Can Visual Mamba Improve AI-Generated Image Detection? An In-Depth Investigation Mamba: Linear-Time Sequence Modeling with Selective State Spaces

Reference 21

Resolution
verified exact
local_arxiv, observed 2026-07-01T14:35:46.454601Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-30T21:17:16.489486Z digest=sha256:2c9ec0a6407b1cb12d1067c3133facc51edddfa713815f6aa67b410ccbb28fec

Observation 76b3acfa-a54f-4d35-a56d-bd8464640c29 · outbound

This paper cites Mambavision: Ahybridmamba-transformer visionbackbone,in: Proceedingsofthe ComputerVisionand Pattern Recognition Conference, pp.

Can Visual Mamba Improve AI-Generated Image Detection? An In-Depth Investigation Mambavision: Ahybridmamba-transformer visionbackbone,in: Proceedingsofthe ComputerVisionand Pattern Recognition Conference, pp

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T17:34:02.309032Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-30T21:17:16.489486Z digest=sha256:2572a075bee1651a57e375f4da92ed5a823b29b8b24dace3009571a2c9f10683

Observation 4a8e0854-b214-45ce-8363-d6730f0e303d · outbound

This paper cites Deep residual learning for image recognition, in: Proceedings of the IEEE conference on computer vision and pattern recognition, pp.

Can Visual Mamba Improve AI-Generated Image Detection? An In-Depth Investigation Deep residual learning for image recognition, in: Proceedings of the IEEE conference on computer vision and pattern recognition, pp

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T17:34:02.307026Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-30T21:17:16.489486Z digest=sha256:5b626a401fd9e9498bb8c9087a9f6779930b8fe4634e5fb71ecf85396746e901

Observation 82f2f335-22a4-4e48-b30c-66d4edb0ac65 · outbound

This paper cites an unresolved cited work.

Can Visual Mamba Improve AI-Generated Image Detection? An In-Depth Investigation Unresolved cited work

Reference 24

Resolution
unresolved
raw_fallback, observed 2026-07-07T17:34:02.318376Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-30T21:17:16.489486Z digest=sha256:dd2d1f2849dc224efd357e9ae366e3ab98b5b541b81276fb8eae0a9f9e3c48d6

Observation a42cc58e-e0fa-4f8c-a8a4-384b6ef5add6 · outbound

This paper cites LocalMamba: Visual State Space Model with Windowed Selective Scan.

Can Visual Mamba Improve AI-Generated Image Detection? An In-Depth Investigation LocalMamba: Visual State Space Model with Windowed Selective Scan

Reference 25

Resolution
verified exact
arxiv_id, observed 2026-07-01T14:25:47.234220Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-30T21:17:16.489486Z digest=sha256:e7cee98d0d491ce07f54fe5e442f834bdd80b24ee56c48735a46617fa83aa0bd

Observation 47e7381d-c595-47ce-99d5-0cfeaca7e9c2 · outbound

This paper cites FFAA: Multimodal Large Language Model based Explainable Open-World Face Forgery Analysis Assistant.

Can Visual Mamba Improve AI-Generated Image Detection? An In-Depth Investigation FFAA: Multimodal Large Language Model based Explainable Open-World Face Forgery Analysis Assistant

Reference 26

Resolution
verified exact
arxiv_id, observed 2026-07-01T14:35:46.435838Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-30T21:17:16.489486Z digest=sha256:bfbdf5d71a728efd8190ad7c524a7876ded5f058c2325e0d36bfb64e8fbfa3a7

Observation a10ad6e2-7509-48bc-857d-978b3c609b12 · outbound

This paper cites Synthetic face discrimination via learned image compression.

Can Visual Mamba Improve AI-Generated Image Detection? An In-Depth Investigation Synthetic face discrimination via learned image compression

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T17:34:02.352275Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-30T21:17:16.489486Z digest=sha256:570b02d6c9d2019de338b744745874db52568c0503e115122fc80df1a0e08ddb

Observation b13fc27e-07c5-4705-b762-3c702296c661 · outbound

This paper cites Evolutionofdetectionperformancethroughout the online lifespan of synthetic images, in: European Conference on Computer Vision, Springer.

Can Visual Mamba Improve AI-Generated Image Detection? An In-Depth Investigation Evolutionofdetectionperformancethroughout the online lifespan of synthetic images, in: European Conference on Computer Vision, Springer

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T17:34:02.271387Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-30T21:17:16.489486Z digest=sha256:b6a8ce941530ecdc0d4532ad11951632c8858b7ece382eb0851c22bcdc3b5367

Observation a316b443-48c1-423e-a713-771397b374a0 · outbound

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

Can Visual Mamba Improve AI-Generated Image Detection? An In-Depth Investigation Progressive Growing of GANs for Improved Quality, Stability, and Variation

Reference 29

Resolution
verified exact
local_arxiv, observed 2026-07-01T14:35:46.438244Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-30T21:17:16.489486Z digest=sha256:fee17c0fc52014871abcbee73752bd5408f5bf18200eab49b2d43ea4fe533a39

Observation 1e63f4b7-e631-4492-9dd3-0e76b42cb4cb · outbound

This paper cites Alias-freegenerativeadversarialnetworks.

Can Visual Mamba Improve AI-Generated Image Detection? An In-Depth Investigation Alias-freegenerativeadversarialnetworks

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T17:34:02.269282Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-30T21:17:16.489486Z digest=sha256:419f0b4bab9b7b250783a6e62ee2a4853d03323362a8bbe230e51f2eefd3b230

Observation 22728f2d-9751-4953-bbcf-bd828f4d91c9 · outbound

This paper cites Astyle-basedgeneratorarchitectureforgenerativeadversarialnetworks,in:ProceedingsoftheIEEE/CVF conference on computer vision and pattern recognition, pp.

Can Visual Mamba Improve AI-Generated Image Detection? An In-Depth Investigation Astyle-basedgeneratorarchitectureforgenerativeadversarialnetworks,in:ProceedingsoftheIEEE/CVF conference on computer vision and pattern recognition, pp

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T17:34:02.275857Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-30T21:17:16.489486Z digest=sha256:6e7e04448f1f44a7a91b00fb5925cf5334ef7fcf5250e71befedbfb17ebf0806

Observation 32d20571-c8ec-4e44-9394-8a71d97dc582 · outbound

This paper cites Harnessing the Power of Large Vision Language Models for Synthetic Image Detection.

Can Visual Mamba Improve AI-Generated Image Detection? An In-Depth Investigation Harnessing the Power of Large Vision Language Models for Synthetic Image Detection

Reference 32

Resolution
verified exact
arxiv_id, observed 2026-07-01T14:35:46.439143Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-30T21:17:16.489486Z digest=sha256:75f93d5ce2572f95bcc35744a8460ff2c1eeb50338a5bf2d38ae8808e0860c40

Observation 17454a49-ea86-47c1-b087-8a65a55390f5 · outbound

This paper cites Bi-lora:Avision-languageapproach for synthetic image detection.

Can Visual Mamba Improve AI-Generated Image Detection? An In-Depth Investigation Bi-lora:Avision-languageapproach for synthetic image detection

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T17:34:02.291105Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-30T21:17:16.489486Z digest=sha256:efb752969e363ec07d773c362aa6ddb88ef6d10f865deba2f393244b6a168077

Observation a2cd0a8e-9271-42e7-a6b5-3480998a654e · outbound

This paper cites TextureCrop: Enhancing Synthetic Image Detection through Texture-based Cropping.

Can Visual Mamba Improve AI-Generated Image Detection? An In-Depth Investigation TextureCrop: Enhancing Synthetic Image Detection through Texture-based Cropping

Reference 34

Resolution
verified exact
arxiv_id, observed 2026-07-01T14:25:47.212508Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-30T21:17:16.489486Z digest=sha256:ae6c8e6ef293dd7f109c498bf7d7ee357ca67d142c44c1e81819ebbc1b3c27e4

Observation 707dbd17-c301-4e15-b9d7-9e0a48c21e7a · outbound

This paper cites Diverse image synthesis from semantic layouts via conditional imle, in: Proceedings of the IEEE/CVF International Conference on Computer Vision, pp.

Can Visual Mamba Improve AI-Generated Image Detection? An In-Depth Investigation Diverse image synthesis from semantic layouts via conditional imle, in: Proceedings of the IEEE/CVF International Conference on Computer Vision, pp

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T17:34:02.280629Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-30T21:17:16.489486Z digest=sha256:4c43f541ab9cdc802f9a3c6aa670a39b3496c65fb8880306616772b778393a09

Observation 278255b2-504a-43c2-836d-3778856f65d7 · outbound

This paper cites Mamba-ND: Selective State Space Modeling for Multi-Dimensional Data.

Can Visual Mamba Improve AI-Generated Image Detection? An In-Depth Investigation Mamba-ND: Selective State Space Modeling for Multi-Dimensional Data

Reference 36

Resolution
verified exact
arxiv_id, observed 2026-07-01T14:25:47.219049Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-30T21:17:16.489486Z digest=sha256:41ee80d2afbec456d605ad7384f58d41d46e6c369682c67d8dafc3dcc328aecd

Observation e33185ce-2920-4454-82d8-ac29a6b14228 · outbound

This paper cites Forgery-awareadaptivetransformerforgeneralizablesyntheticimagedetection, in: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp.

Can Visual Mamba Improve AI-Generated Image Detection? An In-Depth Investigation Forgery-awareadaptivetransformerforgeneralizablesyntheticimagedetection, in: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T17:34:02.248963Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-30T21:17:16.489486Z digest=sha256:28857fb078611bb3be2bc73c382cb58de2a6982bafda498c723730066f90c5be

Observation c89e1608-f05c-4cb0-bf46-afd2f1529a16 · outbound

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

Can Visual Mamba Improve AI-Generated Image Detection? An In-Depth Investigation Pseudo Numerical Methods for Diffusion Models on Manifolds

Reference 38

Resolution
verified exact
arxiv_id, observed 2026-07-01T14:35:46.432403Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-30T21:17:16.489486Z digest=sha256:011da7dd0ff1d1bb871f5ddd75b864eca5af58fa450a401a94fc2e3d52a616b4

Observation 0973892f-fd6d-43ac-b935-74389eef7997 · outbound

This paper cites VMamba: Visual State Space Model.

Can Visual Mamba Improve AI-Generated Image Detection? An In-Depth Investigation VMamba: Visual State Space Model

Reference 39

Resolution
verified exact
local_arxiv, observed 2026-07-01T14:25:47.210050Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-30T21:17:16.489486Z digest=sha256:09095c3e5b7b4cc96402ab59183ef8518d3cd6fd5cfd367ba8b7b73fd703adb9

Observation c1765752-bf6a-483b-8a51-b0087e1a2a44 · outbound

This paper cites U-Mamba: Enhancing Long-range Dependency for Biomedical Image Segmentation.

Can Visual Mamba Improve AI-Generated Image Detection? An In-Depth Investigation U-Mamba: Enhancing Long-range Dependency for Biomedical Image Segmentation

Reference 40

Resolution
verified exact
local_arxiv, observed 2026-07-01T14:25:47.213325Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-30T21:17:16.489486Z digest=sha256:fc973c6ae5d80a81093fe3a66b2d9252e7c0586119198ec7057b390137092915

Observation 916f18bd-243c-4883-91c6-1241fdf807c0 · outbound

This paper cites Midjourney v5.https://www.midjourney.com.

Can Visual Mamba Improve AI-Generated Image Detection? An In-Depth Investigation Midjourney v5.https://www.midjourney.com

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T17:34:02.250625Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-30T21:17:16.489486Z digest=sha256:68ce22c836b103a9262fe062b103add1ed8f04c396ca5901e6f282750d71a08a

Observation b0b091a7-758b-4e40-9860-61b2d101be3b · outbound

This paper cites Detecting GAN generated Fake Images using Co-occurrence Matrices.

Can Visual Mamba Improve AI-Generated Image Detection? An In-Depth Investigation Detecting GAN generated Fake Images using Co-occurrence Matrices

Reference 42

Resolution
metadata mismatch
arxiv_id, observed 2026-07-01T14:25:47.216331Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-30T21:17:16.489486Z digest=sha256:45f4698e3e2eeb9ea861a886e50ea807763cf1216dd69b5c8bccf50f5f5a6f56

Observation 3997ba64-4cdd-4955-97ed-2c928287e934 · outbound

This paper cites GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models.

Can Visual Mamba Improve AI-Generated Image Detection? An In-Depth Investigation GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models

Reference 43

Resolution
verified exact
local_arxiv, observed 2026-07-01T14:25:47.196863Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-30T21:17:16.489486Z digest=sha256:f6ef8c1f91232000b6003531f1b3a8518a07d0c8ec521575c3fdb43f236e7c47

Observation e064e938-21db-44d0-ab42-62b0c95b0345 · outbound

This paper cites Improved denoising diffusion probabilistic models, in: International Conference on Machine Learning, PMLR.

Can Visual Mamba Improve AI-Generated Image Detection? An In-Depth Investigation Improved denoising diffusion probabilistic models, in: International Conference on Machine Learning, PMLR

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T17:34:02.245321Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-30T21:17:16.489486Z digest=sha256:7a4da0663330c8b632355d9452f4ed5920abf61e9475b744fdc90338a327ad0e

Observation 101b027a-398e-47c0-bab1-f5659a3be0ab · outbound

This paper cites Towards universal fake image detectors that generalize across generative models, in: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp.

Can Visual Mamba Improve AI-Generated Image Detection? An In-Depth Investigation Towards universal fake image detectors that generalize across generative models, in: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T17:34:02.243274Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-30T21:17:16.489486Z digest=sha256:494c7f2013517361709e18a890187d82395d6c773c3db2876bae4adbdd8ecd87

Observation a2635b7e-86b9-400b-bf9a-bc59c14430da · outbound

This paper cites Dall-e 3.https://openai.com/dall-e-3.

Can Visual Mamba Improve AI-Generated Image Detection? An In-Depth Investigation Dall-e 3.https://openai.com/dall-e-3

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T17:34:02.247125Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-30T21:17:16.489486Z digest=sha256:5962b0d3590b3f589e9d7ff546f13c22fce4605a1512b42dd55e0de90cbea0d1

Observation a3f78041-58f6-43c2-8e57-3b3172d9340e · outbound

This paper cites Theaffectivenatureofai-generatednewsimages:Impact on visual journalism, in: 2023 11th International Conference on Affective Computing and Intelligent Interaction (ACII), IEEE.

Can Visual Mamba Improve AI-Generated Image Detection? An In-Depth Investigation Theaffectivenatureofai-generatednewsimages:Impact on visual journalism, in: 2023 11th International Conference on Affective Computing and Intelligent Interaction (ACII), IEEE

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T17:34:02.252616Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-30T21:17:16.489486Z digest=sha256:daafc067e16ed7106cbc7f2e40f0aa055d9ec228626568217db277d88be930ff

Observation 9320eccf-6bff-49e2-835b-e7d2e70a6dcf · outbound

This paper cites Gaugan: semantic image synthesis with spatially adaptive normalization, in: ACM SIGGRAPH 2019 Real-Time Live!, pp.

Can Visual Mamba Improve AI-Generated Image Detection? An In-Depth Investigation Gaugan: semantic image synthesis with spatially adaptive normalization, in: ACM SIGGRAPH 2019 Real-Time Live!, pp

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T17:34:02.239456Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-30T21:17:16.489486Z digest=sha256:6de552680a1a29432d03dd95171039a96d533cf9be154af38547dae734fd4f5f

Observation 99cadac6-655a-428a-a191-ffa2211b2ee9 · outbound

This paper cites SiMBA: Simplified Mamba-Based Architecture for Vision and Multivariate Time series.

Can Visual Mamba Improve AI-Generated Image Detection? An In-Depth Investigation SiMBA: Simplified Mamba-Based Architecture for Vision and Multivariate Time series

Reference 49

Resolution
verified exact
arxiv_id, observed 2026-07-01T14:25:47.203810Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-30T21:17:16.489486Z digest=sha256:91c728e3cc06ab7d9f1e5ba0e57f091cd29822d276eabe18b3c8b6b0ca12bad1

Observation 9460be16-029b-4886-a2fe-3f2783e125c4 · outbound

This paper cites EfficientVMamba: Atrous Selective Scan for Light Weight Visual Mamba.

Can Visual Mamba Improve AI-Generated Image Detection? An In-Depth Investigation EfficientVMamba: Atrous Selective Scan for Light Weight Visual Mamba

Reference 50

Resolution
verified exact
arxiv_id, observed 2026-07-01T14:25:47.191714Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-30T21:17:16.489486Z digest=sha256:6ed50fb8c09cd016fa76cd7ae88dddd5859201b16be71909281743e82c8c2bea

Observation 6201b7f7-ada6-4100-a804-2421056c78d3 · outbound

This paper cites SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis.

Can Visual Mamba Improve AI-Generated Image Detection? An In-Depth Investigation SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis

Reference 51

Resolution
verified exact
local_arxiv, observed 2026-07-01T14:25:47.188628Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-30T21:17:16.489486Z digest=sha256:9e2955cc03550ce424f40becc5d0f5bd2d3be34a61eed6e18cc52421098396d0

Observation 1603665a-e323-4403-9467-4161780727b9 · outbound

This paper cites Thinking in frequency: Face forgery detection by mining frequency-aware clues, in: European conference on computer vision, Springer.

Can Visual Mamba Improve AI-Generated Image Detection? An In-Depth Investigation Thinking in frequency: Face forgery detection by mining frequency-aware clues, in: European conference on computer vision, Springer

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T17:34:02.241373Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-30T21:17:16.489486Z digest=sha256:5d1811f5a59975de51b8d674e5c82c7cc420ff20b082c28c3c952116b14e6e5b

Observation 0ad0a9f6-b953-4c69-ac5a-e3b567e7a511 · outbound

This paper cites Zero-shot text-to-image generation, in: International conference on machine learning, Pmlr.

Can Visual Mamba Improve AI-Generated Image Detection? An In-Depth Investigation Zero-shot text-to-image generation, in: International conference on machine learning, Pmlr

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T17:34:02.256396Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-30T21:17:16.489486Z digest=sha256:20378373ce293261de33f485b5dbba14d8fd9f250674f8647d0cc7740f29cf9c

Observation 0d82f474-7078-40b1-906b-af6c12e11440 · outbound

This paper cites Autoregressive Pretraining with Mamba in Vision.

Can Visual Mamba Improve AI-Generated Image Detection? An In-Depth Investigation Autoregressive Pretraining with Mamba in Vision

Reference 54

Resolution
verified exact
arxiv_id, observed 2026-07-01T14:25:47.198011Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-30T21:17:16.489486Z digest=sha256:2b7a9863b72903ffa47eb657f24b99e949b6661133bf85f109b13e0ad029c55d

Observation a4b56602-28f5-426d-86e2-cb25cd355dbc · outbound

This paper cites Towards the Detection of Diffusion Model Deepfakes.

Can Visual Mamba Improve AI-Generated Image Detection? An In-Depth Investigation Towards the Detection of Diffusion Model Deepfakes

Reference 55

Resolution
metadata mismatch
arxiv_id, observed 2026-07-01T14:25:47.195054Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-30T21:17:16.489486Z digest=sha256:5c7492da1332ef2b4b460a98f682b5d148b8453a08852e829ae4252f1c70649b

Observation 0882aea0-bbc9-4c13-b01b-5de1f0b3d2e0 · outbound

This paper cites High-resolution image synthesis with latent diffusion models, in: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition, pp.

Can Visual Mamba Improve AI-Generated Image Detection? An In-Depth Investigation High-resolution image synthesis with latent diffusion models, in: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition, pp

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T17:34:02.261045Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-30T21:17:16.489486Z digest=sha256:655ea2876c8ebed8b16601cc688618ca25b8e7cd75fbb3cdc1daaf210aa6092d

Observation 5a7ac300-3b50-475e-abe7-114e1a6f5984 · outbound

This paper cites Faceforensics++: Learning to detect manipulated facial images, in: Proceedings of the IEEE/CVF international conference on computer vision, pp.

Can Visual Mamba Improve AI-Generated Image Detection? An In-Depth Investigation Faceforensics++: Learning to detect manipulated facial images, in: Proceedings of the IEEE/CVF international conference on computer vision, pp

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T17:34:02.267571Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-30T21:17:16.489486Z digest=sha256:efc60043981ae24b39b81c1ac7cd59b0dd94255dba9a16433decde55e8271925

Observation 8f419eae-0161-409a-9cc6-a2e6265214f9 · outbound

This paper cites Dreambooth: Fine tuning text-to-image diffusion models for subject-driven generation, in: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition, pp.

Can Visual Mamba Improve AI-Generated Image Detection? An In-Depth Investigation Dreambooth: Fine tuning text-to-image diffusion models for subject-driven generation, in: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition, pp

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T17:34:02.273371Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-30T21:17:16.489486Z digest=sha256:ee785882cb3c589f976732a86b5e8541a23a0c68b73e883aaa9d0dc8612406f1

Observation 84cd7a60-8736-4ff7-a0e6-1410657e9ccb · outbound

This paper cites an unresolved cited work.

Can Visual Mamba Improve AI-Generated Image Detection? An In-Depth Investigation Unresolved cited work

Reference 59

Resolution
unresolved
raw_fallback, observed 2026-07-07T17:34:02.312635Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-30T21:17:16.489486Z digest=sha256:4c21051b1accb2186c4919e6e20689b6a14d3f16c580049790b0cd29d72b2379

Observation ac4c4798-08db-474c-9661-a7b0c2cdf296 · outbound

This paper cites Advances in neural information processing systems 35, 36479–36494.

Can Visual Mamba Improve AI-Generated Image Detection? An In-Depth Investigation Advances in neural information processing systems 35, 36479–36494

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T17:34:02.289105Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-30T21:17:16.489486Z digest=sha256:c2b49b55d3f303a45d061ef2e56d4ccf1881a6f9d62184facf9099b08699778b

Observation f0b4991e-eb69-4cab-9593-11bcaa4204c0 · outbound

This paper cites Stylegan-xl: Scaling stylegan to large diverse datasets, in: ACM SIGGRAPH 2022 conference proceedings, pp.

Can Visual Mamba Improve AI-Generated Image Detection? An In-Depth Investigation Stylegan-xl: Scaling stylegan to large diverse datasets, in: ACM SIGGRAPH 2022 conference proceedings, pp

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T17:34:02.303828Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-30T21:17:16.489486Z digest=sha256:54964a2483f6f967126a18b356b5e3d00d06cfa7bb794be2c88007eeeaaef383

Observation 1e541ae8-2798-4ab2-92cc-b942c93c3d50 · outbound

This paper cites Instantbooth:Personalizedtext-to-imagegenerationwithouttest-timefinetuning,in:Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp.

Can Visual Mamba Improve AI-Generated Image Detection? An In-Depth Investigation Instantbooth:Personalizedtext-to-imagegenerationwithouttest-timefinetuning,in:Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T17:34:02.284703Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-30T21:17:16.489486Z digest=sha256:62808b77497d6b1e9f098f4f64f29a63ce03780f4ded0ddceaada753baf333b3

Observation 2a8d5027-651c-4412-a40b-ce148d25a333 · outbound

This paper cites Multi-Scale VMamba: Hierarchy in Hierarchy Visual State Space Model.

Can Visual Mamba Improve AI-Generated Image Detection? An In-Depth Investigation Multi-Scale VMamba: Hierarchy in Hierarchy Visual State Space Model

Reference 63

Resolution
verified exact
arxiv_id, observed 2026-07-01T14:35:46.455857Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-30T21:17:16.489486Z digest=sha256:1c427fdc23f78326b77de0cf88d9c194c693018f393cbe9c2d19f65cffc75da5

Observation 94d430ca-fad8-4e87-ae63-5479e14ab725 · outbound

This paper cites 10819–10829.

Can Visual Mamba Improve AI-Generated Image Detection? An In-Depth Investigation 10819–10829

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T17:34:02.344232Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-30T21:17:16.489486Z digest=sha256:889d7fde3df3f2527aa48f2a5d06fabc8ddfc2c814659cf0963e70786b04d9ed

Observation f8ba4b6a-d5df-421f-9022-eb7b82a9cf3a · outbound

This paper cites Deep unsupervised learning using nonequilibrium thermodynamics, in: International conference on machine learning, PMLR.

Can Visual Mamba Improve AI-Generated Image Detection? An In-Depth Investigation Deep unsupervised learning using nonequilibrium thermodynamics, in: International conference on machine learning, PMLR

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T17:34:02.342660Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-30T21:17:16.489486Z digest=sha256:55aca72166316c27131b0f4d0b92aa2d865b51b344f33e210f77533c099b0768

Observation a66dc190-0750-4bb4-9d56-63939b383a35 · outbound

This paper cites Mamba: Multi-level aggregation via memory bank for video object detection, in: Proceedings of the AAAI Conference on Artificial Intelligence, pp.

Can Visual Mamba Improve AI-Generated Image Detection? An In-Depth Investigation Mamba: Multi-level aggregation via memory bank for video object detection, in: Proceedings of the AAAI Conference on Artificial Intelligence, pp

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T17:34:02.346041Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-30T21:17:16.489486Z digest=sha256:faeff99e128e0820f1edbca14a7860194dd25fd1b13cfe38b28531f486e43006

Observation 85084be2-8719-4bff-9f78-cc1d10a58344 · outbound

This paper cites 7184–7192.

Can Visual Mamba Improve AI-Generated Image Detection? An In-Depth Investigation 7184–7192

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T17:34:02.347632Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-30T21:17:16.489486Z digest=sha256:c3a0c1764d34cc3ac8c92aff573af3e8e47b670743d99f4e8b84b9d270bfb16b

Observation 68dfc073-0954-4509-a2ae-3b8e1f6bd71e · outbound

This paper cites Frequency-awaredeepfakedetection:Improvinggeneralizabilitythroughfrequency space domain learning, in: Proceedings of the AAAI Conference on Artificial Intelligence, pp.

Can Visual Mamba Improve AI-Generated Image Detection? An In-Depth Investigation Frequency-awaredeepfakedetection:Improvinggeneralizabilitythroughfrequency space domain learning, in: Proceedings of the AAAI Conference on Artificial Intelligence, pp

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T17:34:02.354062Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-30T21:17:16.489486Z digest=sha256:9ba35ca75282da085086a1852dd49508e055aa6e7b2df9d3169b422669ff7fdf

Observation 1a10416b-81a1-40a2-8ead-cf6eff962ca1 · outbound

This paper cites an unresolved cited work.

Can Visual Mamba Improve AI-Generated Image Detection? An In-Depth Investigation Unresolved cited work

Reference 69

Resolution
unresolved
raw_fallback, observed 2026-07-07T17:34:02.357626Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-30T21:17:16.489486Z digest=sha256:6ea0d24266d16ee6d1f3bccd2e3b414b714f68437d27cb3ce6cd233f8e1fb40a

Observation 641cbd4b-6371-4d67-a02c-451ae8852840 · outbound

This paper cites an unresolved cited work.

Can Visual Mamba Improve AI-Generated Image Detection? An In-Depth Investigation Unresolved cited work

Reference 70

Resolution
unresolved
raw_fallback, observed 2026-07-07T17:34:02.361266Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-30T21:17:16.489486Z digest=sha256:af4eed2cd048d54423b94463d91e4add896d60cd00c8804622ebfa1277ece22f

Observation 4c63082a-dc0e-48ae-86f8-2296a214e920 · outbound

This paper cites Scalable Visual State Space Model with Fractal Scanning.

Can Visual Mamba Improve AI-Generated Image Detection? An In-Depth Investigation Scalable Visual State Space Model with Fractal Scanning

Reference 71

Resolution
verified exact
arxiv_id, observed 2026-07-01T14:25:47.221616Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-30T21:17:16.489486Z digest=sha256:857309f85cc1625cdde66f3f4175ede8b474a175c2c5d82c6dc9645380b47b8c

Observation fdc9488b-2996-4181-a027-cbe74ff147ef · outbound

This paper cites Training data-efficient image transformers & distillation through attention, in: International conference on machine learning, PMLR.

Can Visual Mamba Improve AI-Generated Image Detection? An In-Depth Investigation Training data-efficient image transformers & distillation through attention, in: International conference on machine learning, PMLR

Reference 72

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T17:34:02.328166Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-30T21:17:16.489486Z digest=sha256:3440bd43aabc29de2d1743b7cfa3625937251cddd8baeefea5804c1d2228ff38

Observation 59e2e51d-5f7c-40e6-93a0-1ee92a0c26d9 · outbound

This paper cites Powersgd: Practical low-rank gradient compression for distributed optimization.

Can Visual Mamba Improve AI-Generated Image Detection? An In-Depth Investigation Powersgd: Practical low-rank gradient compression for distributed optimization

Reference 73

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T17:34:02.323921Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-30T21:17:16.489486Z digest=sha256:403988374dc94b1ca803ee2532925481acebb89250bcc238de1c6deee0793d36

Observation 30f01510-948c-43ce-8db5-e05b543d465e · outbound

This paper cites Mamba-R: Vision Mamba ALSO Needs Registers.

Can Visual Mamba Improve AI-Generated Image Detection? An In-Depth Investigation Mamba-R: Vision Mamba ALSO Needs Registers

Reference 74

Resolution
verified exact
arxiv_id, observed 2026-07-01T14:25:47.224528Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-30T21:17:16.489486Z digest=sha256:4c52ba32360139447e8749423477de4f0cccbe39c9a8615f598241fc68657c3a

Observation 1335ec3a-9bff-45df-985f-c9a059b9f52e · outbound

This paper cites Cnn-generatedimagesaresurprisinglyeasytospot...fornow,in:Proceedings of the IEEE/CVF conference on computer vision and pattern recognition, pp.

Can Visual Mamba Improve AI-Generated Image Detection? An In-Depth Investigation Cnn-generatedimagesaresurprisinglyeasytospot...fornow,in:Proceedings of the IEEE/CVF conference on computer vision and pattern recognition, pp

Reference 75

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T17:34:02.322154Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-30T21:17:16.489486Z digest=sha256:1704e75d259c610ee1178122485300f720d5e3dec825c8629d8990fd4753a7bf

Observation d717ede7-7283-4de5-a56e-9cb0787811f7 · outbound

This paper cites DIRE for Diffusion-Generated Image Detection.

Can Visual Mamba Improve AI-Generated Image Detection? An In-Depth Investigation DIRE for Diffusion-Generated Image Detection

Reference 76

Resolution
verified exact
arxiv_id, observed 2026-07-01T14:35:46.452553Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-30T21:17:16.489486Z digest=sha256:b5b828a0a575c63da1bae4553e2ecce48479dcb8ae9d7eaf5864c1b7f06a823e

Observation 2b62b1e7-7bb6-4350-adf9-ffdc4a039711 · outbound

This paper cites Fd-gan: Generalizable and robust forgery detection via generative adversarial networks.

Can Visual Mamba Improve AI-Generated Image Detection? An In-Depth Investigation Fd-gan: Generalizable and robust forgery detection via generative adversarial networks

Reference 77

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T17:34:02.326392Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-30T21:17:16.489486Z digest=sha256:526ebf9c0d38c41735fed69e09303ef139f3f0dc8a2b200a5a19c4041297bf0d

Observation ac23bd32-7a59-45c3-b7b7-3ef86b72230c · outbound

This paper cites Tall: Thumbnail layout for deepfake video detection, in: Proceedings of the IEEE/CVF international conference on computer vision, pp.

Can Visual Mamba Improve AI-Generated Image Detection? An In-Depth Investigation Tall: Thumbnail layout for deepfake video detection, in: Proceedings of the IEEE/CVF international conference on computer vision, pp

Reference 78

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T17:34:02.330013Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-30T21:17:16.489486Z digest=sha256:b87b02ea1b8a8c3797faaf39a0db65b295a14982fbc4aacb8100132cebad3a9c

Observation d8a599ad-e0a7-469b-b1ce-ca98d1134b05 · outbound

This paper cites Raphael: Text-to-image generation via large mixture of diffusion paths.

Can Visual Mamba Improve AI-Generated Image Detection? An In-Depth Investigation Raphael: Text-to-image generation via large mixture of diffusion paths

Reference 79

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T17:34:02.335089Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-30T21:17:16.489486Z digest=sha256:7fa4fbb3a4c9527832ae5d7ff57d28594942a25dfdc422eb8b45f5d39d6897c5

Observation d3a7cd9a-472d-45ef-b8ef-9bbbb330a626 · outbound

This paper cites PlainMamba: Improving Non-Hierarchical Mamba in Visual Recognition.

Can Visual Mamba Improve AI-Generated Image Detection? An In-Depth Investigation PlainMamba: Improving Non-Hierarchical Mamba in Visual Recognition

Reference 80

Resolution
verified exact
arxiv_id, observed 2026-07-01T14:25:47.237061Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-30T21:17:16.489486Z digest=sha256:98151488319cdb1586139779bfc28b9e003c9f461cde0dfee92dbb21c1787afd

Observation 09c6d4e4-cb21-435b-a9f2-4a1d9438ff9b · outbound

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

Can Visual Mamba Improve AI-Generated Image Detection? An In-Depth Investigation LSUN: Construction of a Large-scale Image Dataset using Deep Learning with Humans in the Loop

Reference 81

Resolution
verified exact
local_arxiv, observed 2026-07-01T14:25:47.221737Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-30T21:17:16.489486Z digest=sha256:5f609f9dba502b12463edac7166d1f550827b333ecf0bf7503a53bc80c5812c6

Observation 8ee5ab1a-33c2-4328-83b7-8ae2d42aed09 · outbound

This paper cites MedMamba: Vision Mamba for Medical Image Classification.

Can Visual Mamba Improve AI-Generated Image Detection? An In-Depth Investigation MedMamba: Vision Mamba for Medical Image Classification

Reference 82

Resolution
verified exact
arxiv_id, observed 2026-07-01T14:25:47.218593Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-30T21:17:16.489486Z digest=sha256:9c0d424bd27eb272ebd7e040358e80bdf1391a53ee1e08869e66b8858cd3ab27

Observation 8089e8c3-0771-4ef3-92f0-4a70a6a631ec · outbound

This paper cites Vim-f: Visual state space model benefiting from learning in the frequency domain.

Can Visual Mamba Improve AI-Generated Image Detection? An In-Depth Investigation Vim-f: Visual state space model benefiting from learning in the frequency domain

Reference 83

Resolution
verified exact
arxiv_id, observed 2026-07-01T14:25:47.208490Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-30T21:17:16.489486Z digest=sha256:17180be769656d509b076375098bd04a082720a8c3fec411a652c4cff04e5652

Observation ccb645b7-fb56-4070-9fe0-00c752b4857b · outbound

This paper cites Detecting and simulating artifacts in gan fake images, in: 2019 IEEE international workshop on information forensics and security (WIFS), IEEE.

Can Visual Mamba Improve AI-Generated Image Detection? An In-Depth Investigation Detecting and simulating artifacts in gan fake images, in: 2019 IEEE international workshop on information forensics and security (WIFS), IEEE

Reference 84

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T17:34:02.338681Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-30T21:17:16.489486Z digest=sha256:64005309addb112769ff221f774d170742b0b490f542f1031218ee4834c53338

Observation 58709e91-f100-456f-ad61-a1b4c7d85df1 · outbound

This paper cites Unpaired image-to-image translation using cycle-consistent adversarial networks, in: Proceedings of the IEEE international conference on computer vision, pp.

Can Visual Mamba Improve AI-Generated Image Detection? An In-Depth Investigation Unpaired image-to-image translation using cycle-consistent adversarial networks, in: Proceedings of the IEEE international conference on computer vision, pp

Reference 85

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T17:34:02.320281Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-30T21:17:16.489486Z digest=sha256:27298e66b33a21e4104c3f65b157e0f282ef98d17517325aca877ba8e14d9781

Observation 874d80e2-d10e-4132-a544-2242ac9383a4 · outbound

This paper cites Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model.

Can Visual Mamba Improve AI-Generated Image Detection? An In-Depth Investigation Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model

Reference 86

Resolution
verified exact
local_arxiv, observed 2026-07-01T14:25:47.227557Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-30T21:17:16.489486Z digest=sha256:3cb8f5b6dedf0b9bcbc92086daba3ec0b32b401a6974ccac60a8d1464e210b8a

Pith citing papers

No inbound Pith citation observations are available.