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Paper Citation Record · LEDGER

Survey on AI-Generated Media Detection: From Non-MLLM to MLLM

As of 9 August 2026, this Paper Citation Record lists 100 of 201 outbound references and 3 inbound Pith citation observations for arXiv:2502.05240.

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

pith.paper-citation-record.v1
2502.05240 v2

Coverage vector

measured 100 of 201 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-08T21:12:22.843020Z

measured 103 of 103 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-30T11:05:19.011287Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T11:54:38.827618Z

Reference resolution

100 of 201 outbound references displayed

  • verified exact3
  • verified fuzzy0
  • unresolved97
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a05485b9-ba1a-4f7c-85fb-90abb7d244f1 · outbound

This paper cites Hello gpt-4o.

Survey on AI-Generated Media Detection: From Non-MLLM to MLLM Hello gpt-4o

Reference 1

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source=pdf_text observed=2026-08-08T21:12:22.330332Z digest=sha256:ed80c6c5a919f7f40c39dab4044586627343838e76a0e0fb2fc8b5d5b5e1af96

Observation c049a956-3b30-4ccf-9ee7-6d51d98df14a · outbound

This paper cites Improving image generation with better captions.

Survey on AI-Generated Media Detection: From Non-MLLM to MLLM Improving image generation with better captions

Reference 2

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source=pdf_text observed=2026-08-08T21:12:22.335290Z digest=sha256:f9eb0bbbab26ebeae61659094b56a7bb2cb5987bf023f366d532448c0a01c665

Observation da24a3ef-f25a-4ddd-a7d0-edd48527df4c · outbound

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

Survey on AI-Generated Media Detection: From Non-MLLM to MLLM High-resolution image synthesis with latent diffusion models

Reference 3

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source=pdf_text observed=2026-08-08T21:12:22.339349Z digest=sha256:98066ef7a947c9f513ad3141ed41b0b0a854eca0820cc0a1fe460a2213ff6f87

Observation 11772ca8-03f4-4ed9-a9fe-b330e1dd8514 · outbound

This paper cites Video generation models as world simulators.

Survey on AI-Generated Media Detection: From Non-MLLM to MLLM Video generation models as world simulators

Reference 4

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source=pdf_text observed=2026-08-08T21:12:22.344830Z digest=sha256:f2d0abed1aed2de86e93fd1f291e8eb0f0854987c8d171f95a4d829bac4528a8

Observation f7bcf616-0315-43b8-9771-5d079d79f78f · outbound

This paper cites Pluralistic aging diffusion autoencoder.

Survey on AI-Generated Media Detection: From Non-MLLM to MLLM Pluralistic aging diffusion autoencoder

Reference 5

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source=pdf_text observed=2026-08-08T21:12:22.350661Z digest=sha256:67d887f15d219d15a478ea54a2b3bc9f319d263508724232159bcc8cb3750f66

Observation c3d42e60-fb26-4ece-9ce9-e380a07b34b4 · outbound

This paper cites Global and local consistent wavelet-domain age synthesis.

Survey on AI-Generated Media Detection: From Non-MLLM to MLLM Global and local consistent wavelet-domain age synthesis

Reference 6

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source=pdf_text observed=2026-08-08T21:12:22.355306Z digest=sha256:1406057c98362ccb62738d8bef491dcc775b7e4168384b34cb043bebeccab48a

Observation ab19450f-490f-4b26-a809-488d84b435b4 · outbound

This paper cites Localize, Understand, Collaborate: Semantic-Aware Dragging via Intention Reasoner.

Survey on AI-Generated Media Detection: From Non-MLLM to MLLM Localize, Understand, Collaborate: Semantic-Aware Dragging via Intention Reasoner

Reference 7

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source=pdf_text observed=2026-08-08T21:12:22.360505Z digest=sha256:4edee85b1cb4253ca504ccd479e43348146d6dca05c3ac07e3acfe78437b6727

Observation 3079a0ad-4eee-4163-b745-767054a9acfc · outbound

This paper cites Combating misinformation in the era of generative ai models.

Survey on AI-Generated Media Detection: From Non-MLLM to MLLM Combating misinformation in the era of generative ai models

Reference 8

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source=pdf_text observed=2026-08-08T21:12:22.365536Z digest=sha256:3d9e5db38a014f64b445a2ee0a187364457fa180b5952bb0902e5eae76d655ef

Observation d28f340c-767b-4a0d-9d9a-2db00f39a504 · outbound

This paper cites Deep learning technology for face forgery detection: A survey.

Survey on AI-Generated Media Detection: From Non-MLLM to MLLM Deep learning technology for face forgery detection: A survey

Reference 9

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source=pdf_text observed=2026-08-08T21:12:22.369863Z digest=sha256:4fab865a3c6e0e3bcd2f18544db4bffeaae2f1349ab76c636c632da657daa836

Observation d6292ac0-5dd2-4af0-8982-40d23927983a · outbound

This paper cites Communicating the cultural other: Trust and bias in generative ai and large language models.

Survey on AI-Generated Media Detection: From Non-MLLM to MLLM Communicating the cultural other: Trust and bias in generative ai and large language models

Reference 10

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source=pdf_text observed=2026-08-08T21:12:22.374003Z digest=sha256:963e0591d2878bf62e93f000817f7a2d9ada3767cb8e99ace71457c6c1ef8f29

Observation 0ef591d9-9a6b-49e2-8556-ce79d7c23b86 · outbound

This paper cites Generative ai meets copyright.

Survey on AI-Generated Media Detection: From Non-MLLM to MLLM Generative ai meets copyright

Reference 11

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source=pdf_text observed=2026-08-08T21:12:22.378256Z digest=sha256:d084ee9a34e653a8d67106a3059c4b51738fa94c95d9cfde51d9555ad795f6bb

Observation fa1d2957-556e-42e4-843f-05f67e725e3e · outbound

This paper cites Jailbreak Attacks and Defenses against Multimodal Generative Models: A Survey.

Survey on AI-Generated Media Detection: From Non-MLLM to MLLM Jailbreak Attacks and Defenses against Multimodal Generative Models: A Survey

Reference 12

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source=pdf_text observed=2026-08-08T21:12:22.382439Z digest=sha256:64640e21e4e8352a741e6563087e5215c6472219f642606868fe2929227040ca

Observation 12767eeb-dadd-4fa6-93f9-19d7702cd3be · outbound

This paper cites Online detection of ai-generated images.

Survey on AI-Generated Media Detection: From Non-MLLM to MLLM Online detection of ai-generated images

Reference 13

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source=pdf_text observed=2026-08-08T21:12:22.386367Z digest=sha256:ec2b6c9056b58ee3f7b53882db990161ef3eaf105adc5b57536ea3b699bc02c0

Observation ca38bf36-9e65-4f14-94e1-e0d8c9a7d7df · outbound

This paper cites An empirical study of ai-generated text detection tools.

Survey on AI-Generated Media Detection: From Non-MLLM to MLLM An empirical study of ai-generated text detection tools

Reference 14

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source=pdf_text observed=2026-08-08T21:12:22.390227Z digest=sha256:625ad3c2031f26fc2b30534827d418561ffe00e5af7c83958279b6c6e8e493fe

Observation f6ac4806-3d66-4213-bf96-9480f05b34b3 · outbound

This paper cites Explainable and Interpretable Multimodal Large Language Models: A Comprehensive Survey.

Survey on AI-Generated Media Detection: From Non-MLLM to MLLM Explainable and Interpretable Multimodal Large Language Models: A Comprehensive Survey

Reference 15

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source=pdf_text observed=2026-08-08T21:12:22.394230Z digest=sha256:118d07428d7fe0f60e563accb580d21cc353c570366ef1aa7ba0256936d6bbab

Observation d5bd5c36-2147-4430-9236-d04ba2567d70 · outbound

This paper cites Detecting Multimedia Generated by Large AI Models: A Survey.

Survey on AI-Generated Media Detection: From Non-MLLM to MLLM Detecting Multimedia Generated by Large AI Models: A Survey

Reference 16

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source=pdf_text observed=2026-08-08T21:12:22.398590Z digest=sha256:9ce3a8581e6d82d4d1cca552135d2680eb795f600ea44163a3ec82c3d4101596

Observation fc98ebcb-fcd4-4125-9497-24ceeb4135b1 · outbound

This paper cites A survey of defenses against ai-generated visual media: Detection, disruption, and authentication.

Survey on AI-Generated Media Detection: From Non-MLLM to MLLM A survey of defenses against ai-generated visual media: Detection, disruption, and authentication

Reference 17

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source=pdf_text observed=2026-08-08T21:12:22.402602Z digest=sha256:b0de89170407a3dbcb57d8d50a660b488e2d7f4ebb0aa57b036b1ef76e895b96

Observation 42979b47-816a-4bb3-b967-bb46b95435e2 · outbound

This paper cites Fake Artificial Intelligence Generated Contents (FAIGC): A Survey of Theories, Detection Methods, and Opportunities.

Survey on AI-Generated Media Detection: From Non-MLLM to MLLM Fake Artificial Intelligence Generated Contents (FAIGC): A Survey of Theories, Detection Methods, and Opportunities

Reference 18

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source=pdf_text observed=2026-08-08T21:12:22.407293Z digest=sha256:7c1ba79498b26fcd56d0125a0f2130c12d26f0cc1bb96df52e40141286a26247

Observation b24ed57a-6f4d-4b51-80c5-705ae92cdaf1 · outbound

This paper cites The Llama 3 Herd of Models.

Survey on AI-Generated Media Detection: From Non-MLLM to MLLM The Llama 3 Herd of Models

Reference 19

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source=pdf_text observed=2026-08-08T21:12:22.412016Z digest=sha256:6fd42af87b7c3ea57c6e58b994200847108d13adf012e01e97b8ad5d053dc381

Observation 41bf45a3-c1d3-472d-ae0c-42bdf13bb932 · outbound

This paper cites Claude 3.5: Sonnet.

Survey on AI-Generated Media Detection: From Non-MLLM to MLLM Claude 3.5: Sonnet

Reference 20

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source=pdf_text observed=2026-08-08T21:12:22.416723Z digest=sha256:d4767d83ff647a7ca38c9de0c1e727b8f4eb24fbbb8a0a8f8ce1ce05a790a45f

Observation 51560cc7-fdb1-4986-bdba-18fc23204298 · outbound

This paper cites All the news that’s fit to fabricate: Ai-generated text as a tool of media misinformation.

Survey on AI-Generated Media Detection: From Non-MLLM to MLLM All the news that’s fit to fabricate: Ai-generated text as a tool of media misinformation

Reference 21

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source=pdf_text observed=2026-08-08T21:12:22.420944Z digest=sha256:9c4d4678d270c9f11efd1d5d4fed37819604967e710b56890004ccb3031c2fc5

Observation d9327d13-c18e-4416-b9ba-6836a61430bb · outbound

This paper cites Program code generation with generative ais.

Survey on AI-Generated Media Detection: From Non-MLLM to MLLM Program code generation with generative ais

Reference 22

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source=pdf_text observed=2026-08-08T21:12:22.425093Z digest=sha256:770b3e09c2fbd93ddbb42bc4d527ecdddac88324c258ca54071b8120c0d2be35

Observation f6a5c91e-e10c-4b49-b34f-1c2ff5afb66f · outbound

This paper cites Collage is the new writing: Exploring the fragmentation of text and user interfaces in ai tools.

Survey on AI-Generated Media Detection: From Non-MLLM to MLLM Collage is the new writing: Exploring the fragmentation of text and user interfaces in ai tools

Reference 23

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source=pdf_text observed=2026-08-08T21:12:22.429211Z digest=sha256:139ce3dc0bde5a0a798ee4dd0f71e13ed617eccb71656b7c109d7860dc65d8ec

Observation 5e27a907-c01a-4c0e-b616-8efcfe99f608 · outbound

This paper cites Denoising diffusion probabilistic models.

Survey on AI-Generated Media Detection: From Non-MLLM to MLLM Denoising diffusion probabilistic models

Reference 24

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source=pdf_text observed=2026-08-08T21:12:22.433254Z digest=sha256:d29868635b5c59c1debe16426f6d4622d7be4975fad9b52576ec96fa73936c0e

Observation cafd85fd-e198-46c3-b23c-96e76566fdf4 · outbound

This paper cites Generative modeling by estimating gradients of the data distribution.

Survey on AI-Generated Media Detection: From Non-MLLM to MLLM Generative modeling by estimating gradients of the data distribution

Reference 25

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source=pdf_text observed=2026-08-08T21:12:22.437483Z digest=sha256:d314a2ce07d9b591c57b5577a82d392dc604e4be2940328308ecf8817883ad11

Observation 1a6add62-7936-4f88-89a8-5e27cc98ad11 · outbound

This paper cites Score-Based Generative Modeling through Stochastic Differential Equations.

Survey on AI-Generated Media Detection: From Non-MLLM to MLLM Score-Based Generative Modeling through Stochastic Differential Equations

Reference 26

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source=pdf_text observed=2026-08-08T21:12:22.441094Z digest=sha256:c21c3b050e53c3737abf34749cf038afd30e1065bc64bdcd472673e34f61ffee

Observation 2201bd10-8e8f-439d-a991-b12ff993fff2 · outbound

This paper cites DeepMind.

Survey on AI-Generated Media Detection: From Non-MLLM to MLLM DeepMind

Reference 27

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source=pdf_text observed=2026-08-08T21:12:22.444940Z digest=sha256:fc422138a4d68a2b0a4ea78e6d6ff4603ba79536b3404bf8b908cfa9a8bab91f

Observation 3bd7f7f4-d0a3-4f50-a0d4-09a04809773b · outbound

This paper cites Midjourney.

Survey on AI-Generated Media Detection: From Non-MLLM to MLLM Midjourney

Reference 28

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source=pdf_text observed=2026-08-08T21:12:22.448617Z digest=sha256:35fb3cd7ac04afd80b056b61b7c09bb685f2f7ccd6206cb9fadaecacc3b69b27

Observation 58ec89a6-38b1-4f08-aae3-5078b0901591 · outbound

This paper cites MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large Language Models.

Survey on AI-Generated Media Detection: From Non-MLLM to MLLM MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large Language Models

Reference 29

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source=pdf_text observed=2026-08-08T21:12:22.452251Z digest=sha256:4f293cb29e3ec6d5c2697b158b979d7a3715ec856efc29b89a0923771bca4ef2

Observation 232de6b9-9720-4156-b30e-8735668e6fea · outbound

This paper cites Visual instruction tuning.

Survey on AI-Generated Media Detection: From Non-MLLM to MLLM Visual instruction tuning

Reference 30

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source=pdf_text observed=2026-08-08T21:12:22.456040Z digest=sha256:3a781c12c77e7aad3b19ae626c1d836381fd3efb5ed0d687ae8ca58e5503ecf2

Observation 51b3d717-7f44-43fa-a438-0dda29ae3edc · outbound

This paper cites Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond.

Survey on AI-Generated Media Detection: From Non-MLLM to MLLM Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond

Reference 31

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source=pdf_text observed=2026-08-08T21:12:22.459513Z digest=sha256:ac7914ff0979c26bc2a566668d34a76df1acc12fbca810c3d0ae369bfb8aafc2

Observation beb79927-b0f6-40ab-9d99-dd37855d74b5 · outbound

This paper cites Make-A-Video: Text-to-Video Generation without Text-Video Data.

Survey on AI-Generated Media Detection: From Non-MLLM to MLLM Make-A-Video: Text-to-Video Generation without Text-Video Data

Reference 32

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source=pdf_text observed=2026-08-08T21:12:22.463887Z digest=sha256:22f377da6b5ca7db325af8cd904af3e41653ba8c1e0a4fb5f94365d8e4718007

Observation 2298f2ee-25dc-4877-ae98-66dba5524a99 · outbound

This paper cites Dall·e 2.

Survey on AI-Generated Media Detection: From Non-MLLM to MLLM Dall·e 2

Reference 33

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source=pdf_text observed=2026-08-08T21:12:22.468504Z digest=sha256:7abe01b5598783b7af176736c79c9e0e662ef3722b5a95e71449cb19dde81027

Observation 35f76bf6-57b0-4510-812b-4e4019560cc4 · outbound

This paper cites an unresolved cited work.

Survey on AI-Generated Media Detection: From Non-MLLM to MLLM Unresolved cited work

Reference 34

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source=pdf_text observed=2026-08-08T21:12:22.472912Z digest=sha256:65753c434d271dc6fbe3b2b8d29e1d817bea6b85031dc763053108c036e50a34

Observation f5de5cd2-8e6b-45aa-b09e-7be150203c31 · outbound

This paper cites Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets.

Survey on AI-Generated Media Detection: From Non-MLLM to MLLM Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets

Reference 35

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source=pdf_text observed=2026-08-08T21:12:22.477753Z digest=sha256:ae2b40fb73699416425918e844023129b12d7bc2d69fbcb40c6262d12ec4a92e

Observation 60b97434-6b6e-4cb1-886a-f10dea0a7c4c · outbound

This paper cites Llama-vid: An image is worth 2 tokens in large language models.

Survey on AI-Generated Media Detection: From Non-MLLM to MLLM Llama-vid: An image is worth 2 tokens in large language models

Reference 36

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source=pdf_text observed=2026-08-08T21:12:22.482414Z digest=sha256:efb5aec376b5149a487e6b651e0de0621bfec8d705ac80b7d6889a2f4df72ff8

Observation b3993d1f-5478-498c-810a-039c67f137ec · outbound

This paper cites Mvbench: A comprehensive multi-modal video understanding benchmark.

Survey on AI-Generated Media Detection: From Non-MLLM to MLLM Mvbench: A comprehensive multi-modal video understanding benchmark

Reference 37

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source=pdf_text observed=2026-08-08T21:12:22.486954Z digest=sha256:690ef5935e3f7b16e73ea4330b9277cb10ddd969a94f07d52e4ea45874d12891

Observation f2ba1678-4716-4563-8a31-4ac646a617a2 · outbound

This paper cites Diff-TTS: A Denoising Diffusion Model for Text-to-Speech.

Survey on AI-Generated Media Detection: From Non-MLLM to MLLM Diff-TTS: A Denoising Diffusion Model for Text-to-Speech

Reference 38

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source=pdf_text observed=2026-08-08T21:12:22.491013Z digest=sha256:b76d3e56585c478457ce5cceb9070722ddf7c7c98e4e8438e0077b26f5c6cd4d

Observation 92092498-bc2e-49e6-9806-1a4a4b703b0e · outbound

This paper cites Audioldm: text-to-audio generation with latent diffusion models.

Survey on AI-Generated Media Detection: From Non-MLLM to MLLM Audioldm: text-to-audio generation with latent diffusion models

Reference 39

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source=pdf_text observed=2026-08-08T21:12:22.494851Z digest=sha256:852b2b5567d2120b35beddafb4e023618a23f93d8d82863c1a1cd986ea589700

Observation fdc13d22-27a8-4849-b3db-9a8b62510a23 · outbound

This paper cites Make-an-audio: text-to-audio generation with prompt-enhanced diffusion models.

Survey on AI-Generated Media Detection: From Non-MLLM to MLLM Make-an-audio: text-to-audio generation with prompt-enhanced diffusion models

Reference 40

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source=pdf_text observed=2026-08-08T21:12:22.498430Z digest=sha256:1db90a02181211ba4b0e36496e0d860565de587a5bb23bab66ea778e94ca47a9

Observation 3ac16a45-5bd5-4f75-a9ae-0834e90d4fc4 · outbound

This paper cites Text-to-Audio Generation using Instruction-Tuned LLM and Latent Diffusion Model.

Survey on AI-Generated Media Detection: From Non-MLLM to MLLM Text-to-Audio Generation using Instruction-Tuned LLM and Latent Diffusion Model

Reference 41

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source=pdf_text observed=2026-08-08T21:12:22.502166Z digest=sha256:68f392f1b0b69110e6125515740d010b3d406c992efa5818b9af9a04006f08b8

Observation 6c3330d6-bba7-4f8a-a7fb-1dc252bf505d · outbound

This paper cites WavJourney: Compositional Audio Creation with Large Language Models.

Survey on AI-Generated Media Detection: From Non-MLLM to MLLM WavJourney: Compositional Audio Creation with Large Language Models

Reference 42

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source=pdf_text observed=2026-08-08T21:12:22.506015Z digest=sha256:dbbcb058b967b42bb8a8c23456794311db3a4f8e991401a94b1c3cee656e9202

Observation 9cc133a0-5e46-45ce-98ad-a3c78c6985f1 · outbound

This paper cites UniAudio: An Audio Foundation Model Toward Universal Audio Generation.

Survey on AI-Generated Media Detection: From Non-MLLM to MLLM UniAudio: An Audio Foundation Model Toward Universal Audio Generation

Reference 43

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source=pdf_text observed=2026-08-08T21:12:22.509705Z digest=sha256:cd6b1bd3c96c5e6e53988a5fa8ad729c419c1400946bcfd2a35d61d1a51e3636

Observation de0cd808-7e0f-4832-addb-20995a7d00e1 · outbound

This paper cites Explainability for large language models: A survey.

Survey on AI-Generated Media Detection: From Non-MLLM to MLLM Explainability for large language models: A survey

Reference 44

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source=pdf_text observed=2026-08-08T21:12:22.513933Z digest=sha256:d2aebcbf2fcdc1c67c8788678293ae95de56b076e901295696b00fccb314be9e

Observation b186ff9c-f6ba-4ef7-b70b-238c5dc1beb8 · outbound

This paper cites HowkGPT: Investigating the Detection of ChatGPT-generated University Student Homework through Context-Aware Perplexity Analysis.

Survey on AI-Generated Media Detection: From Non-MLLM to MLLM HowkGPT: Investigating the Detection of ChatGPT-generated University Student Homework through Context-Aware Perplexity Analysis

Reference 45

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source=pdf_text observed=2026-08-08T21:12:22.517911Z digest=sha256:2107829e71d418468dc91b82cfb9d99f6ce549aba335d5d58602f6a563691d67

Observation 1425f8bd-a6bc-4377-9358-8925b655f665 · outbound

This paper cites DNA-GPT: Divergent N-Gram Analysis for Training-Free Detection of GPT-Generated Text.

Survey on AI-Generated Media Detection: From Non-MLLM to MLLM DNA-GPT: Divergent N-Gram Analysis for Training-Free Detection of GPT-Generated Text

Reference 46

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source=pdf_text observed=2026-08-08T21:12:22.522274Z digest=sha256:e0f065c45e456c24ae4d1e13ec0d89c8755950f2c6923a37e3654edc599db98f

Observation 3f22f26a-d16f-43ee-b480-07ce0fd0acb2 · outbound

This paper cites DetectLLM: Leveraging Log Rank Information for Zero-Shot Detection of Machine-Generated Text.

Survey on AI-Generated Media Detection: From Non-MLLM to MLLM DetectLLM: Leveraging Log Rank Information for Zero-Shot Detection of Machine-Generated Text

Reference 47

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source=pdf_text observed=2026-08-08T21:12:22.527056Z digest=sha256:68e0141f039026330f1fe9aca8521e7f834cfd0a736730782f3a2f2a51bd5db1

Observation ee04c8a1-631b-481f-baf7-55f9ad90a60e · outbound

This paper cites Detectgpt: Zero-shot machine-generated text detection using probability curvature.

Survey on AI-Generated Media Detection: From Non-MLLM to MLLM Detectgpt: Zero-shot machine-generated text detection using probability curvature

Reference 48

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source=pdf_text observed=2026-08-08T21:12:22.531462Z digest=sha256:533f94ccd9a6312fb35b4cc41a1e68087fcf4ab342ceb516c17eeb90451bd98f

Observation 6e71886d-1c83-41c6-bd27-b0e2222b7e0a · outbound

This paper cites Fast-DetectGPT: Efficient Zero-Shot Detection of Machine-Generated Text via Conditional Probability Curvature.

Survey on AI-Generated Media Detection: From Non-MLLM to MLLM Fast-DetectGPT: Efficient Zero-Shot Detection of Machine-Generated Text via Conditional Probability Curvature

Reference 49

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source=pdf_text observed=2026-08-08T21:12:22.535389Z digest=sha256:9212b76073d829349e28918d2af63086408cca2bc4d8bd85202e812f5c4e13eb

Observation cd6fe240-c67f-4603-9bf7-0b6b2a7b3bb5 · outbound

This paper cites LOKI: A Comprehensive Synthetic Data Detection Benchmark using Large Multimodal Models.

Survey on AI-Generated Media Detection: From Non-MLLM to MLLM LOKI: A Comprehensive Synthetic Data Detection Benchmark using Large Multimodal Models

Reference 50

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source=pdf_text observed=2026-08-08T21:12:22.539676Z digest=sha256:e747546fae183d942af2f8fa950ffbcc65cb0f574d410a2b15b8cbeb98707470

Observation 56ed2f15-9300-4826-9c33-fd7a013c60a8 · outbound

This paper cites Fighting fire with fire: can chatgpt detect ai-generated text? ACM SIGKDD Explorations Newsletter, 25(2):14–21, 2024.

Survey on AI-Generated Media Detection: From Non-MLLM to MLLM Fighting fire with fire: can chatgpt detect ai-generated text? ACM SIGKDD Explorations Newsletter, 25(2):14–21, 2024

Reference 51

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source=pdf_text observed=2026-08-08T21:12:22.543660Z digest=sha256:454c49890042c4df57686105be4e0e17333f3e090f84b372be47abc96d0c2773

Observation cc153f4f-b0c7-4828-a5b3-97ac7ce41622 · outbound

This paper cites Detection vs.

Survey on AI-Generated Media Detection: From Non-MLLM to MLLM Detection vs

Reference 52

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source=pdf_text observed=2026-08-08T21:12:22.547760Z digest=sha256:cda89a131d7db5c7422174210d7321f86696365ee238cba0eaebe7c94fbdaaed

Observation 2a502feb-6837-49a3-bb2d-9be79cfc85d9 · outbound

This paper cites DetectGPT-SC: Improving Detection of Text Generated by Large Language Models through Self-Consistency with Masked Predictions.

Survey on AI-Generated Media Detection: From Non-MLLM to MLLM DetectGPT-SC: Improving Detection of Text Generated by Large Language Models through Self-Consistency with Masked Predictions

Reference 53

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source=pdf_text observed=2026-08-08T21:12:22.551830Z digest=sha256:9dc09093387a0eb27c728fd4b030b427ead7a153825d954b81317374b274aeb8

Observation 2cae0c00-d71f-4d6c-84d2-8ea568907df5 · outbound

This paper cites Simllm: Detecting sentences generated by large language models using similarity between the generation and its re-generation.

Survey on AI-Generated Media Detection: From Non-MLLM to MLLM Simllm: Detecting sentences generated by large language models using similarity between the generation and its re-generation

Reference 54

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source=pdf_text observed=2026-08-08T21:12:22.555764Z digest=sha256:2510e60b21216db60bf609a90ad4bdd25631176a8363a7e763072a6b000dbe61

Observation a4ff63e9-95d6-4276-84b9-0914bd04bc20 · outbound

This paper cites Beat llms at their own game: Zero-shot llm-generated text detection via querying chatgpt.

Survey on AI-Generated Media Detection: From Non-MLLM to MLLM Beat llms at their own game: Zero-shot llm-generated text detection via querying chatgpt

Reference 55

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source=pdf_text observed=2026-08-08T21:12:22.559380Z digest=sha256:9eeefa163d2acd5f9ed32d4a806ddc7fa0d0823d1006871a06e2e751c099720e

Observation 2d1142e0-3df0-4cfd-a1a9-9cbf40aa539b · outbound

This paper cites Raidar: geneRative AI Detection viA Rewriting.

Survey on AI-Generated Media Detection: From Non-MLLM to MLLM Raidar: geneRative AI Detection viA Rewriting

Reference 56

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source=pdf_text observed=2026-08-08T21:12:22.563047Z digest=sha256:a93678dccf2b855b57d9667d28a6d8ccadebff5be3c1298edc481a1c8f7cc0b0

Observation 600dca26-f865-498b-a58e-ab5ed498a0d3 · outbound

This paper cites Learning to Rewrite: Generalized LLM-Generated Text Detection.

Survey on AI-Generated Media Detection: From Non-MLLM to MLLM Learning to Rewrite: Generalized LLM-Generated Text Detection

Reference 57

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source=pdf_text observed=2026-08-08T21:12:22.567591Z digest=sha256:df8d1b792f52b1b879f03254758809a8450895364ab6ef6ba4b86ff28f55c53a

Observation 4fea5176-f2b7-41e9-8515-2956d49ab8ef · outbound

This paper cites Llm-as-a-coauthor: Can mixed human-written and machine-generated text be detected? In Findings of the Association for Computational Linguistics: NAACL 2024 , pages 409–436, 2024.

Survey on AI-Generated Media Detection: From Non-MLLM to MLLM Llm-as-a-coauthor: Can mixed human-written and machine-generated text be detected? In Findings of the Association for Computational Linguistics: NAACL 2024 , pages 409–436, 2024

Reference 58

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source=pdf_text observed=2026-08-08T21:12:22.571980Z digest=sha256:ba91d2408f5702271a02707196c01eb9b1ab6edcaa88fdb8e7d1c9eb49aa1bed

Observation fda5103d-3f0e-4b42-9aa9-d6b999a77fba · outbound

This paper cites LLM-DetectAIve: a Tool for Fine-Grained Machine-Generated Text Detection.

Survey on AI-Generated Media Detection: From Non-MLLM to MLLM LLM-DetectAIve: a Tool for Fine-Grained Machine-Generated Text Detection

Reference 59

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source=pdf_text observed=2026-08-08T21:12:22.575914Z digest=sha256:142a41b060c6b8b9f62c5fe4dc9d2d76b8b67660d382859b4d349d8e2acc2efb

Observation 57c0922e-fc10-404a-bffc-abb46d3fd55c · outbound

This paper cites Beemo: Benchmark of Expert-edited Machine-generated Outputs.

Survey on AI-Generated Media Detection: From Non-MLLM to MLLM Beemo: Benchmark of Expert-edited Machine-generated Outputs

Reference 60

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Observation e20029ae-7054-41e4-8093-15d124e15a64 · outbound

This paper cites Beyond Binary: Towards Fine-Grained LLM-Generated Text Detection via Role Recognition and Involvement Measurement.

Survey on AI-Generated Media Detection: From Non-MLLM to MLLM Beyond Binary: Towards Fine-Grained LLM-Generated Text Detection via Role Recognition and Involvement Measurement

Reference 61

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Observation a6912873-8a98-47dc-9611-81b9798a131b · outbound

This paper cites A watermark for large language models.

Survey on AI-Generated Media Detection: From Non-MLLM to MLLM A watermark for large language models

Reference 62

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Observation 895b5a19-051f-4b66-8d5f-d2eb73ee560f · outbound

This paper cites On the reliability of watermarks for large language models.

Survey on AI-Generated Media Detection: From Non-MLLM to MLLM On the reliability of watermarks for large language models

Reference 63

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source=pdf_text observed=2026-08-08T21:12:22.690453Z digest=sha256:e558399966a85471deb49fc739ae83f224ae885d7d85dffbb483c6e95795b64b

Observation 15a9a157-5b84-4db3-8d8f-1a22975d70e1 · outbound

This paper cites Undetectable watermarks for language models.

Survey on AI-Generated Media Detection: From Non-MLLM to MLLM Undetectable watermarks for language models

Reference 64

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source=pdf_text observed=2026-08-08T21:12:22.694048Z digest=sha256:a92f746c963fac9f5ae525c694288d9c113e4b8fc7a0e8c8883ed39094fcdf45

Observation 05444cb2-5196-4843-9fe1-67255f58c0d2 · outbound

This paper cites Provable robust watermarking for ai-generated text.

Survey on AI-Generated Media Detection: From Non-MLLM to MLLM Provable robust watermarking for ai-generated text

Reference 65

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source=pdf_text observed=2026-08-08T21:12:22.697583Z digest=sha256:ef5918a5c8fc5ed5d0b4685a3ec3583cb86af4e0e695b63a87b9158b24298202

Observation 4fd8acf1-52b3-4a50-8063-13edfbb16be1 · outbound

This paper cites PersonaMark: Personalized LLM watermarking for model protection and user attribution.

Survey on AI-Generated Media Detection: From Non-MLLM to MLLM PersonaMark: Personalized LLM watermarking for model protection and user attribution

Reference 66

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source=pdf_text observed=2026-08-08T21:12:22.701113Z digest=sha256:1a7c9e7ae711cb1b114f475e3c7336ae669f2bf2eda1552c63ce7e72962d6cba

Observation 1842f3d5-d893-4acd-bbb8-54b0b4be4569 · outbound

This paper cites Detecting Machine-Generated Texts: Not Just "AI vs Humans" and Explainability is Complicated.

Survey on AI-Generated Media Detection: From Non-MLLM to MLLM Detecting Machine-Generated Texts: Not Just "AI vs Humans" and Explainability is Complicated

Reference 67

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source=pdf_text observed=2026-08-08T21:12:22.704973Z digest=sha256:cd2eb38d030aa4252f4f7f96f3629ec289c5476569cbc045c829c1dd5bd0a8d0

Observation 53158559-7dc8-41ba-ace0-ba5a28d157e7 · outbound

This paper cites GigaCheck: Detecting LLM-generated Content via Object-Centric Span Localization.

Survey on AI-Generated Media Detection: From Non-MLLM to MLLM GigaCheck: Detecting LLM-generated Content via Object-Centric Span Localization

Reference 68

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source=pdf_text observed=2026-08-08T21:12:22.709359Z digest=sha256:87c9c611a288cf99c73accd601de4c61134a40d7004970c4919d9cede8e94231

Observation 3e430203-9d05-406b-8f8f-ede864074d6c · outbound

This paper cites SHIELD : An Evaluation Benchmark for Face Spoofing and Forgery Detection with Multimodal Large Language Models.

Survey on AI-Generated Media Detection: From Non-MLLM to MLLM SHIELD : An Evaluation Benchmark for Face Spoofing and Forgery Detection with Multimodal Large Language Models

Reference 69

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source=pdf_text observed=2026-08-08T21:12:22.714024Z digest=sha256:5e4d7cfbba3a8fd9389228bff2057f73ed3f319f8cb944dc56ff80c76be99e2d

Observation 252ba75c-58bc-463f-a97a-0e21c0945473 · outbound

This paper cites Can chatgpt detect deepfakes? a study of using multimodal large language models for media forensics.

Survey on AI-Generated Media Detection: From Non-MLLM to MLLM Can chatgpt detect deepfakes? a study of using multimodal large language models for media forensics

Reference 70

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source=pdf_text observed=2026-08-08T21:12:22.718375Z digest=sha256:87d08cb8e5c7bc47cf20db8e23e14f36f6431156e90232b2e325a327c88e31dd

Observation aa6b48a0-10f1-404c-a408-1cabdff20425 · outbound

This paper cites VisualCritic: Making LMMs Perceive Visual Quality Like Humans.

Survey on AI-Generated Media Detection: From Non-MLLM to MLLM VisualCritic: Making LMMs Perceive Visual Quality Like Humans

Reference 71

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source=pdf_text observed=2026-08-08T21:12:22.722591Z digest=sha256:92385790b63b3924764b08147dd7a5e66a17c0e821a574fa4d8470e72515bb77

Observation 834a1b86-6ed8-4b6f-a782-bd0e157a72e0 · outbound

This paper cites ForgeryGPT: A Multimodal LLM for Interpretable Image Forgery Detection and Localization.

Survey on AI-Generated Media Detection: From Non-MLLM to MLLM ForgeryGPT: A Multimodal LLM for Interpretable Image Forgery Detection and Localization

Reference 72

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source=pdf_text observed=2026-08-08T21:12:22.726828Z digest=sha256:494ac51e1f0f31544b9da09d2c6b5368f63e0ca58db88ea6592ccbad11648342

Observation 2d9c046d-3e90-4551-827c-fb6c54b8ae83 · outbound

This paper cites EditScout: Locating Forged Regions from Diffusion-based Edited Images with Multimodal LLM.

Survey on AI-Generated Media Detection: From Non-MLLM to MLLM EditScout: Locating Forged Regions from Diffusion-based Edited Images with Multimodal LLM

Reference 73

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local_arxiv, observed 2026-08-08T21:12:25.167719Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T21:12:22.731142Z digest=sha256:b10712f0bd75249621ba3d33a3977e1c81ddf9eac3a63cc808b70d7ddcfd3769

Observation bca85028-2868-439a-b263-cb89993d6008 · outbound

This paper cites X2-DFD: A framework for eXplainable and eXtendable Deepfake Detection.

Survey on AI-Generated Media Detection: From Non-MLLM to MLLM X2-DFD: A framework for eXplainable and eXtendable Deepfake Detection

Reference 74

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source=pdf_text observed=2026-08-08T21:12:22.735068Z digest=sha256:4488b5798cc32910a60b5e38cfef107c46d49586ef31e51ba357c954249a7978

Observation 6e1e105e-a98c-4012-a648-353467401110 · outbound

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

Survey on AI-Generated Media Detection: From Non-MLLM to MLLM FFAA: Multimodal Large Language Model based Explainable Open-World Face Forgery Analysis Assistant

Reference 75

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source=pdf_text observed=2026-08-08T21:12:22.739045Z digest=sha256:a9beb39ba107c9fca9dc7022c9dbae7fa4b00522dba4f77ad80ecde05045884f

Observation 1f4f3d88-5d2f-4208-870f-2d5cd567ae5e · outbound

This paper cites FakeShield: Explainable Image Forgery Detection and Localization via Multi-modal Large Language Models.

Survey on AI-Generated Media Detection: From Non-MLLM to MLLM FakeShield: Explainable Image Forgery Detection and Localization via Multi-modal Large Language Models

Reference 76

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Observation cd488899-735a-4bb6-a1a4-644ef36e28e9 · outbound

This paper cites SIDA: Social Media Image Deepfake Detection, Localization and Explanation with Large Multimodal Model.

Survey on AI-Generated Media Detection: From Non-MLLM to MLLM SIDA: Social Media Image Deepfake Detection, Localization and Explanation with Large Multimodal Model

Reference 77

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source=pdf_text observed=2026-08-08T21:12:22.747278Z digest=sha256:4ffffb52590b6469fb965bb797a84481a38c5be5820b9d2449ba6a90f2efa832

Observation a7fd9ee0-b7d6-4a13-bb98-1dd9330a54b5 · outbound

This paper cites Generating Attribution Reports for Manipulated Facial Images: A Dataset and Baseline.

Survey on AI-Generated Media Detection: From Non-MLLM to MLLM Generating Attribution Reports for Manipulated Facial Images: A Dataset and Baseline

Reference 78

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Observation c3a0395e-5f0a-4820-86f6-3be69a506ff0 · outbound

This paper cites Forgerysleuth: Empowering multimodal large language models for image manipulation detection.

Survey on AI-Generated Media Detection: From Non-MLLM to MLLM Forgerysleuth: Empowering multimodal large language models for image manipulation detection

Reference 79

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Observation 9ac9fe25-38df-42ac-b3a2-0202d9c65f02 · outbound

This paper cites On Learning Multi-Modal Forgery Representation for Diffusion Generated Video Detection.

Survey on AI-Generated Media Detection: From Non-MLLM to MLLM On Learning Multi-Modal Forgery Representation for Diffusion Generated Video Detection

Reference 80

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Observation 8d9df4eb-32ea-4b5e-b28e-f9dc0a3edb19 · outbound

This paper cites VANE-Bench: Video Anomaly Evaluation Benchmark for Conversational LMMs.

Survey on AI-Generated Media Detection: From Non-MLLM to MLLM VANE-Bench: Video Anomaly Evaluation Benchmark for Conversational LMMs

Reference 81

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source=pdf_text observed=2026-08-08T21:12:22.765077Z digest=sha256:bdbb70cfdcba24f5c7799b93c8c5ad141cb2c8d9756fa43d924412eb037a0af5

Observation 0643c725-c24b-416e-9c99-4358fa52cbeb · outbound

This paper cites Video Watermarking: Safeguarding Your Video from (Unauthorized) Annotations by Video-based LLMs.

Survey on AI-Generated Media Detection: From Non-MLLM to MLLM Video Watermarking: Safeguarding Your Video from (Unauthorized) Annotations by Video-based LLMs

Reference 82

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T21:12:22.769455Z digest=sha256:a0296188009f3048c2380238db0043db40e31209bcd1b1c052d8690359658c23

Observation e72797f6-df93-4958-918b-e1975e647749 · outbound

This paper cites SONICS: Synthetic Or Not -- Identifying Counterfeit Songs.

Survey on AI-Generated Media Detection: From Non-MLLM to MLLM SONICS: Synthetic Or Not -- Identifying Counterfeit Songs

Reference 83

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source=pdf_text observed=2026-08-08T21:12:22.774060Z digest=sha256:c4ad803517941938023339693beb9a7a63ef520ec29dd2de0515cbb852268b85

Observation 4f787bc6-4362-40fe-8795-7e39912ca20d · outbound

This paper cites Sniffer: Multimodal large language model for explainable out-of-context misin- formation detection.

Survey on AI-Generated Media Detection: From Non-MLLM to MLLM Sniffer: Multimodal large language model for explainable out-of-context misin- formation detection

Reference 84

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source=pdf_text observed=2026-08-08T21:12:22.778474Z digest=sha256:7ef7384ff71596727c8e9bd96a347f741231a207a669d0b2c3a3e844e8a47283

Observation c7db6c9c-1b9a-40d7-9368-ac87816ce48c · outbound

This paper cites Cheap-fake detection with llm using prompt engineering.

Survey on AI-Generated Media Detection: From Non-MLLM to MLLM Cheap-fake detection with llm using prompt engineering

Reference 85

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Observation 97905d3d-cbd7-4ae6-9066-5b59977b82b9 · outbound

This paper cites How Good is ChatGPT at Audiovisual Deepfake Detection: A Comparative Study of ChatGPT, AI Models and Human Perception.

Survey on AI-Generated Media Detection: From Non-MLLM to MLLM How Good is ChatGPT at Audiovisual Deepfake Detection: A Comparative Study of ChatGPT, AI Models and Human Perception

Reference 86

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Observation bf7d651e-b657-431c-a4fd-431e3d83cc28 · outbound

This paper cites V2A-Mark: Versatile Deep Visual-Audio Watermarking for Manipulation Localization and Copyright Protection.

Survey on AI-Generated Media Detection: From Non-MLLM to MLLM V2A-Mark: Versatile Deep Visual-Audio Watermarking for Manipulation Localization and Copyright Protection

Reference 87

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Observation 62d549fc-cd53-41ab-a1cc-fb9cf99c0794 · outbound

This paper cites Three ways chatgpt helps me in my academic writing.

Survey on AI-Generated Media Detection: From Non-MLLM to MLLM Three ways chatgpt helps me in my academic writing

Reference 88

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Observation ce8183ab-c59e-45c5-bb1b-56443a489b21 · outbound

This paper cites Fake it till you make it: Curricular dynamic forgery augmentations towards general deepfake detection.

Survey on AI-Generated Media Detection: From Non-MLLM to MLLM Fake it till you make it: Curricular dynamic forgery augmentations towards general deepfake detection

Reference 89

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Observation 9573671c-4511-4233-b5bb-cc2db817550c · outbound

This paper cites VideoChat: Chat-Centric Video Understanding.

Survey on AI-Generated Media Detection: From Non-MLLM to MLLM VideoChat: Chat-Centric Video Understanding

Reference 90

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Observation ab54ac0d-ebe1-437f-8111-43b7e2ae88b5 · outbound

This paper cites Video-ChatGPT: Towards Detailed Video Understanding via Large Vision and Language Models.

Survey on AI-Generated Media Detection: From Non-MLLM to MLLM Video-ChatGPT: Towards Detailed Video Understanding via Large Vision and Language Models

Reference 91

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Observation 986a7053-ddd1-41f8-8517-e1156e916994 · outbound

This paper cites Video-LLaMA: An Instruction-tuned Audio-Visual Language Model for Video Understanding.

Survey on AI-Generated Media Detection: From Non-MLLM to MLLM Video-LLaMA: An Instruction-tuned Audio-Visual Language Model for Video Understanding

Reference 92

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source=pdf_text observed=2026-08-08T21:12:22.811057Z digest=sha256:5d7c18e5831b350e3d97a3208de2c4b44db277a099fa6b73bfeb0fb91ee77edf

Observation 1e4f4d40-a7a0-4150-9ea1-f9d8cf12088c · outbound

This paper cites What matters in detecting ai-generated videos like sora? arXiv preprint arXiv:2406.19568, 2024.

Survey on AI-Generated Media Detection: From Non-MLLM to MLLM What matters in detecting ai-generated videos like sora? arXiv preprint arXiv:2406.19568, 2024

Reference 93

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source=pdf_text observed=2026-08-08T21:12:22.815382Z digest=sha256:da46bbcba8050dadaed3507245780d9b6ad73d46db3262867b1ea462812282cf

Observation 60d48127-c6c0-4ff8-8c5e-99d08bac4985 · outbound

This paper cites Qwen-Audio: Advancing Universal Audio Understanding via Unified Large-Scale Audio-Language Models.

Survey on AI-Generated Media Detection: From Non-MLLM to MLLM Qwen-Audio: Advancing Universal Audio Understanding via Unified Large-Scale Audio-Language Models

Reference 94

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source=pdf_text observed=2026-08-08T21:12:22.819751Z digest=sha256:c11bb31f007c01e7292dc90d3eeacae2dafd2aa761ec6fcc4167f55660da8194

Observation 0584da7b-ea17-4e07-a9b1-c028c05681c0 · outbound

This paper cites video-SALMONN: Speech-Enhanced Audio-Visual Large Language Models.

Survey on AI-Generated Media Detection: From Non-MLLM to MLLM video-SALMONN: Speech-Enhanced Audio-Visual Large Language Models

Reference 95

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source=pdf_text observed=2026-08-08T21:12:22.824098Z digest=sha256:3b384c31d8edcc99d7195ecbb3650a01d1efc352e78d917db5740ce3bf9a8b37

Observation fb46dc72-e4a3-41da-b80e-96a982b89a7c · outbound

This paper cites Fka-owl: Ad- vancing multimodal fake news detection through knowledge-augmented lvlms.

Survey on AI-Generated Media Detection: From Non-MLLM to MLLM Fka-owl: Ad- vancing multimodal fake news detection through knowledge-augmented lvlms

Reference 96

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source=pdf_text observed=2026-08-08T21:12:22.828379Z digest=sha256:5781a98c5314a0471a9ea1d03e8ae13e320a0ed30a3740f5893fbd7ea4eef741

Observation 5683646d-37ee-40d6-ad4c-8374e047db01 · outbound

This paper cites T2iw: Joint text to image & watermark generation.

Survey on AI-Generated Media Detection: From Non-MLLM to MLLM T2iw: Joint text to image & watermark generation

Reference 97

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arxiv_id, observed 2026-08-08T21:12:24.488572Z

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source=pdf_text observed=2026-08-08T21:12:22.831878Z digest=sha256:038c16c972b1d1f713961fac5b9128403abb56a1e911b8a4bb0e569d2f383cce

Observation d05f5801-5bab-4378-9a04-251f70e22827 · outbound

This paper cites Watermarking Vision-Language Pre-trained Models for Multi-modal Embedding as a Service.

Survey on AI-Generated Media Detection: From Non-MLLM to MLLM Watermarking Vision-Language Pre-trained Models for Multi-modal Embedding as a Service

Reference 98

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source=pdf_text observed=2026-08-08T21:12:22.835232Z digest=sha256:4db02706ecd1055da41745f9e1dbe091a750c36904c54704f9bc091cc52ecf46

Observation de5c2dba-80bb-4b0b-b8cb-7c6e162512c5 · outbound

This paper cites DeTeCtive: Detecting AI-generated Text via Multi-Level Contrastive Learning.

Survey on AI-Generated Media Detection: From Non-MLLM to MLLM DeTeCtive: Detecting AI-generated Text via Multi-Level Contrastive Learning

Reference 99

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Observation 972f170c-bae0-48d6-a6b3-e2f049642934 · outbound

This paper cites Detecting and unmasking ai-generated texts through explainable artificial intelligence using stylistic features.

Survey on AI-Generated Media Detection: From Non-MLLM to MLLM Detecting and unmasking ai-generated texts through explainable artificial intelligence using stylistic features

Reference 100

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Pith citing papers

Observation 60e4348a-d7bd-4c3a-80c5-bdc8f182ab7d · inbound

Skyra: AI-Generated Video Detection via Grounded Artifact Reasoning cites this paper.

Skyra: AI-Generated Video Detection via Grounded Artifact Reasoning Survey on AI-Generated Media Detection: From Non-MLLM to MLLM

Reference 92

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arxiv_id, observed 2026-05-21T16:44:15.984595Z

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source=pdf_text observed=2026-05-21T16:43:11.995960Z digest=sha256:509d678b7edb042c06689e0dce7c3048604a200019b35beefea0b1941f175f3e

Observation 4607f999-6e92-40f8-8e3a-c21fe5e90f2a · inbound

Omni-Fake: Benchmarking Unified Multimodal Social Media Deepfake Detection cites this paper.

Omni-Fake: Benchmarking Unified Multimodal Social Media Deepfake Detection Survey on AI-Generated Media Detection: From Non-MLLM to MLLM

Reference 105

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arxiv_id, observed 2026-05-11T17:06:04.230379Z

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source=pdf_text observed=2026-05-09T14:04:52.065878Z digest=sha256:e71cb5abc740261a435c9690fa988b51f80e0e5d13d9f19e112d68820a0940aa

Observation 015db01b-905b-478f-b1de-d7d7b0bffa45 · inbound

READER: Reasoning-Enhanced AI-Generated Text Detection cites this paper.

READER: Reasoning-Enhanced AI-Generated Text Detection Survey on AI-Generated Media Detection: From Non-MLLM to MLLM

Reference 10

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arxiv_id, observed 2026-06-30T11:54:38.829046Z

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source=pdf_text observed=2026-06-30T11:05:19.011287Z digest=sha256:6bc4f9f091b389b17006cefb4e23d4d1ab09f240bfa2b345e16438bef96f136c