Paper Citation Record · LEDGER

Physics-Driven Spatiotemporal Modeling for AI-Generated Video Detection

As of 6 August 2026, this Paper Citation Record lists 100 of 110 outbound references and 6 inbound Pith citation observations for arXiv:2510.08073.

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

pith.paper-citation-record.v1
2510.08073 v2

Coverage vector

measured 100 of 110 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T10:54:31.472203Z

measured 106 of 106 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T01:25:15.036619Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-21T16:44:15.997172Z

Reference resolution

100 of 110 outbound references displayed

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verified fuzzy0
unresolved100
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External citation measurements

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Outbound references

Observation 5f88d5d2-571e-4e2a-aed7-116d9a92301b · outbound

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

Physics-Driven Spatiotemporal Modeling for AI-Generated Video Detection Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-04T10:54:21.468166Z

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Observation ec80c779-1c0c-4ad2-b0bd-ec836f4b1d05 · outbound

This paper cites Align your latents: High-resolution video synthesis with latent diffusion models.

Physics-Driven Spatiotemporal Modeling for AI-Generated Video Detection Align your latents: High-resolution video synthesis with latent diffusion models

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-04T10:54:21.547748Z

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Observation 465b0dd8-59b0-494c-95c2-f278405a1aae · outbound

This paper cites Video generation models as world simulators.

Physics-Driven Spatiotemporal Modeling for AI-Generated Video Detection Video generation models as world simulators

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-04T10:54:21.632993Z

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Observation 0ae6343d-b48b-49ac-a7ae-7a2ca8d47183 · outbound

This paper cites Customcrafter: Customized video generation with preserving motion and concept composition abilities.

Physics-Driven Spatiotemporal Modeling for AI-Generated Video Detection Customcrafter: Customized video generation with preserving motion and concept composition abilities

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-04T10:54:21.709205Z

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Observation 46f269c0-662a-466d-9680-3907523fd6e4 · outbound

This paper cites Unveiling causal reasoning in large language models: Reality or mirage? 2024.

Physics-Driven Spatiotemporal Modeling for AI-Generated Video Detection Unveiling causal reasoning in large language models: Reality or mirage? 2024

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-04T10:54:21.781090Z

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Observation 4ab95017-a51c-40e7-832c-cf21e2a8c0fb · outbound

This paper cites Fine-grained controllable video generation via object appearance and context.

Physics-Driven Spatiotemporal Modeling for AI-Generated Video Detection Fine-grained controllable video generation via object appearance and context

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-04T10:54:21.864152Z

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Observation 2f318838-3208-4c04-9e0e-dc516002aedf · outbound

This paper cites Videocrafter2: Overcoming data limitations for high-quality video diffusion models.

Physics-Driven Spatiotemporal Modeling for AI-Generated Video Detection Videocrafter2: Overcoming data limitations for high-quality video diffusion models

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-04T10:54:21.998573Z

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Observation 915c2931-74cc-4da0-a6ba-797240d9952b · outbound

This paper cites Dynamicrafter: Animating open-domain images with video diffusion priors.

Physics-Driven Spatiotemporal Modeling for AI-Generated Video Detection Dynamicrafter: Animating open-domain images with video diffusion priors

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-04T10:54:22.105220Z

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Observation d3ca7eab-c943-43c8-9d62-74fa4912fbad · outbound

This paper cites Motion-i2v: Consistent and controllable image-to-video generation with explicit motion modeling.

Physics-Driven Spatiotemporal Modeling for AI-Generated Video Detection Motion-i2v: Consistent and controllable image-to-video generation with explicit motion modeling

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-04T10:54:22.318523Z

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Observation 71104791-71b6-4a35-97cf-8831d29df35e · outbound

This paper cites Image conductor: Precision control for interactive video synthesis.

Physics-Driven Spatiotemporal Modeling for AI-Generated Video Detection Image conductor: Precision control for interactive video synthesis

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-04T10:54:22.491015Z

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Observation e9490ede-e75d-40e4-8cf2-ccccdd5d8994 · outbound

This paper cites Towards open-set identity preserving face synthesis.

Physics-Driven Spatiotemporal Modeling for AI-Generated Video Detection Towards open-set identity preserving face synthesis

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-04T10:54:22.634749Z

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Observation f3273a04-d26c-40e0-b39b-2c2facaa328d · outbound

This paper cites Pulid: Pure and lightning id customization via contrastive alignment.Advances in neural information processing systems, 37:36777–36804, 2024.

Physics-Driven Spatiotemporal Modeling for AI-Generated Video Detection Pulid: Pure and lightning id customization via contrastive alignment.Advances in neural information processing systems, 37:36777–36804, 2024

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-04T10:54:22.709112Z

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Observation ec9bebc4-855f-4a9e-8f1f-c4c7449899d1 · outbound

This paper cites Out-of-distribution detection learning with unreliable out-of-distribution sources.

Physics-Driven Spatiotemporal Modeling for AI-Generated Video Detection Out-of-distribution detection learning with unreliable out-of-distribution sources

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-04T10:54:22.843524Z

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Observation 15fac398-1edd-4306-a8e1-f3756ed2bd50 · outbound

This paper cites Hififace: 3d shape and semantic prior guided high fidelity face swapping.

Physics-Driven Spatiotemporal Modeling for AI-Generated Video Detection Hififace: 3d shape and semantic prior guided high fidelity face swapping

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-04T10:54:22.959494Z

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Observation 958f0a17-2225-4aad-a400-98de53d61a7a · outbound

This paper cites Diffswap: High-fidelity and controllable face swapping via 3d-aware masked diffusion.

Physics-Driven Spatiotemporal Modeling for AI-Generated Video Detection Diffswap: High-fidelity and controllable face swapping via 3d-aware masked diffusion

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-04T10:54:23.081195Z

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Observation 82fed9fa-d05c-4cfb-952d-753ad490978b · outbound

This paper cites Avff: Audio-visual feature fusion for video deepfake detection.

Physics-Driven Spatiotemporal Modeling for AI-Generated Video Detection Avff: Audio-visual feature fusion for video deepfake detection

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-04T10:54:23.211613Z

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Observation 91360e98-0653-4150-aa13-dd8c78628726 · outbound

This paper cites Learning defense transformations for counterattacking adversarial examples.Neural Networks, 164:177–185, 2023.

Physics-Driven Spatiotemporal Modeling for AI-Generated Video Detection Learning defense transformations for counterattacking adversarial examples.Neural Networks, 164:177–185, 2023

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-04T10:54:23.328996Z

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Observation 7c2f762e-9ff0-4dd3-964e-c7b53284c729 · outbound

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

Physics-Driven Spatiotemporal Modeling for AI-Generated Video Detection High-resolution image synthesis with latent diffusion models

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-04T10:54:23.480810Z

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Observation 636ee4e8-2ae0-4917-b791-b5f7ec67c400 · outbound

This paper cites Vbench: Comprehensive benchmark suite for video 11 generative models.

Physics-Driven Spatiotemporal Modeling for AI-Generated Video Detection Vbench: Comprehensive benchmark suite for video 11 generative models

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-04T10:54:23.594547Z

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Observation 48d2e080-75c0-4e5b-958c-96f9626c6c8c · outbound

This paper cites VBench-2.0: Advancing Video Generation Benchmark Suite for Intrinsic Faithfulness.

Physics-Driven Spatiotemporal Modeling for AI-Generated Video Detection VBench-2.0: Advancing Video Generation Benchmark Suite for Intrinsic Faithfulness

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-04T10:54:23.761559Z

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Observation d5318242-70cf-4994-937e-f28fc8a64dfc · outbound

This paper cites Codef: Content deformation fields for temporally consistent video processing.

Physics-Driven Spatiotemporal Modeling for AI-Generated Video Detection Codef: Content deformation fields for temporally consistent video processing

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-04T10:54:23.912764Z

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Observation bf4352af-e07e-4872-9e39-feed1fdfccea · outbound

This paper cites Deepfake video detection through optical flow based cnn.

Physics-Driven Spatiotemporal Modeling for AI-Generated Video Detection Deepfake video detection through optical flow based cnn

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-04T10:54:24.037041Z

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Observation df9b7ba5-460a-40ad-b29f-b8d35ed1a2e1 · outbound

This paper cites Altfreezing for more general video face forgery detection.

Physics-Driven Spatiotemporal Modeling for AI-Generated Video Detection Altfreezing for more general video face forgery detection

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-04T10:54:24.215386Z

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Observation 663191f7-77cf-4bc6-8607-fae2362c1e07 · outbound

This paper cites Tall: Thumb- nail layout for deepfake video detection.

Physics-Driven Spatiotemporal Modeling for AI-Generated Video Detection Tall: Thumb- nail layout for deepfake video detection

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-04T10:54:24.313597Z

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Observation 649abd61-a224-4648-8169-7ebd449cf827 · outbound

This paper cites DeMamba: AI-Generated Video Detection on Million-Scale GenVideo Benchmark.

Physics-Driven Spatiotemporal Modeling for AI-Generated Video Detection DeMamba: AI-Generated Video Detection on Million-Scale GenVideo Benchmark

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-04T10:54:24.450462Z

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Observation 2a8556cb-95a3-4ee7-8a82-ad40252eeddd · outbound

This paper cites Thinking in frequency: Face forgery detection by mining frequency-aware clues.

Physics-Driven Spatiotemporal Modeling for AI-Generated Video Detection Thinking in frequency: Face forgery detection by mining frequency-aware clues

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-04T10:54:24.585747Z

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Observation fb555115-e2ac-4052-b37a-4c640d858247 · outbound

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

Physics-Driven Spatiotemporal Modeling for AI-Generated Video Detection Rethinking the up-sampling operations in cnn-based generative network for generalizable deepfake detection

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-04T10:54:24.674433Z

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Observation b04ea9dc-7981-45c5-8793-eb9b7230508c · outbound

This paper cites Cambridge university press, 2000.

Physics-Driven Spatiotemporal Modeling for AI-Generated Video Detection Cambridge university press, 2000

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-04T10:54:24.790442Z

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Observation fa67c81b-7b58-42f3-8b8d-a29d7cd39a35 · outbound

This paper cites Springer, 2014.

Physics-Driven Spatiotemporal Modeling for AI-Generated Video Detection Springer, 2014

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-04T10:54:24.928224Z

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Observation 2131ec22-8150-48bf-8873-5b73ede9df71 · outbound

This paper cites Generative modeling by estimating gradients of the data distribution.Advances in Neural Information Processing Systems, 32, 2019.

Physics-Driven Spatiotemporal Modeling for AI-Generated Video Detection Generative modeling by estimating gradients of the data distribution.Advances in Neural Information Processing Systems, 32, 2019

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-04T10:54:25.019696Z

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Observation 7b32245d-b2fb-4fe4-b22d-4f34ede7e2fe · outbound

This paper cites Score-based generative modeling through stochastic differential equations.

Physics-Driven Spatiotemporal Modeling for AI-Generated Video Detection Score-based generative modeling through stochastic differential equations

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-04T10:54:25.105029Z

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Observation b61e54d8-b881-4aa1-b9f7-5d54f0911c37 · outbound

This paper cites Determining optical flow.Artificial intelligence, 17(1-3):185–203, 1981.

Physics-Driven Spatiotemporal Modeling for AI-Generated Video Detection Determining optical flow.Artificial intelligence, 17(1-3):185–203, 1981

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-04T10:54:25.307438Z

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Observation c44dc053-21e2-4e70-aadc-a9c975384964 · outbound

This paper cites A kernel two-sample test.Journal of Machine Learning Research, 13(1):723–773, 2012.

Physics-Driven Spatiotemporal Modeling for AI-Generated Video Detection A kernel two-sample test.Journal of Machine Learning Research, 13(1):723–773, 2012

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-04T10:54:25.426368Z

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Observation 38608f25-0916-4a61-b8c4-98aa3b54784b · outbound

This paper cites Learning deep kernels for non-parametric two-sample tests.

Physics-Driven Spatiotemporal Modeling for AI-Generated Video Detection Learning deep kernels for non-parametric two-sample tests

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-04T10:54:25.552829Z

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Observation 98d5e5c6-1662-41b3-a25e-48e8e9e3a8b9 · outbound

This paper cites Exposing deep fakes using inconsistent head poses.

Physics-Driven Spatiotemporal Modeling for AI-Generated Video Detection Exposing deep fakes using inconsistent head poses

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-04T10:54:25.649057Z

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Observation 2ba17429-00ad-4235-ab4a-0d757f95348f · outbound

This paper cites Spatiotemporal inconsistency learning for deepfake video detection.

Physics-Driven Spatiotemporal Modeling for AI-Generated Video Detection Spatiotemporal inconsistency learning for deepfake video detection

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-04T10:54:25.742818Z

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Observation faead1a7-cb89-4522-92ba-4c6ccf4c6ebe · outbound

This paper cites Where deepfakes gaze at? spatial-temporal gaze inconsistency analysis for video face forgery detec- tion.IEEE Transactions on Information Forensics and Security, 2024.

Physics-Driven Spatiotemporal Modeling for AI-Generated Video Detection Where deepfakes gaze at? spatial-temporal gaze inconsistency analysis for video face forgery detec- tion.IEEE Transactions on Information Forensics and Security, 2024

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-04T10:54:25.826140Z

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Observation 7c422ce8-0f57-48ea-89df-1e74f39fd59b · outbound

This paper cites Ai-generated video detection via spatial- temporal anomaly learning.

Physics-Driven Spatiotemporal Modeling for AI-Generated Video Detection Ai-generated video detection via spatial- temporal anomaly learning

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-04T10:54:25.900898Z

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Observation d12619cd-f261-4624-a8b0-5c3cd252d75c · outbound

This paper cites Detecting AI-Generated Video via Frame Consistency.

Physics-Driven Spatiotemporal Modeling for AI-Generated Video Detection Detecting AI-Generated Video via Frame Consistency

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-04T10:54:25.976127Z

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Observation 4120d616-665d-4b2e-b2c4-2ae2e939e1b0 · outbound

This paper cites On learning multi-modal forgery representation for diffusion generated video detection.

Physics-Driven Spatiotemporal Modeling for AI-Generated Video Detection On learning multi-modal forgery representation for diffusion generated video detection

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-04T10:54:26.097395Z

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Observation bf73d0fd-be68-4da3-ad71-15dfe4a8fd73 · outbound

This paper cites Denoising diffusion probabilistic models.Advances in Neural Information Processing Systems, 33:6840–6851, 2020.

Physics-Driven Spatiotemporal Modeling for AI-Generated Video Detection Denoising diffusion probabilistic models.Advances in Neural Information Processing Systems, 33:6840–6851, 2020

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-04T10:54:26.169731Z

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Observation ea88b0dc-a71a-4e46-bb96-dcbd0d0ba59c · outbound

This paper cites Improved techniques for training score-based generative models.

Physics-Driven Spatiotemporal Modeling for AI-Generated Video Detection Improved techniques for training score-based generative models

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-04T10:54:26.227531Z

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Observation a7f71583-86b8-4327-961a-b20cd00bcf3c · outbound

This paper cites Diffusion models for adversarial purification.

Physics-Driven Spatiotemporal Modeling for AI-Generated Video Detection Diffusion models for adversarial purification

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-04T10:54:26.305209Z

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Observation b3ab81eb-3438-4a6d-b416-a1ee9defcb0c · outbound

This paper cites Adversarial purification with score-based generative models.

Physics-Driven Spatiotemporal Modeling for AI-Generated Video Detection Adversarial purification with score-based generative models

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-04T10:54:26.442985Z

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Observation fc6d8d99-c7d9-4463-9fd2-234961380a06 · outbound

This paper cites Detecting adversarial data by probing multiple perturbations using expected perturbation score.

Physics-Driven Spatiotemporal Modeling for AI-Generated Video Detection Detecting adversarial data by probing multiple perturbations using expected perturbation score

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-04T10:54:26.555145Z

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Observation ae203cef-1a61-48fc-88db-3f20712af6a0 · outbound

This paper cites Deep kernel relative test for machine-generated text detection.

Physics-Driven Spatiotemporal Modeling for AI-Generated Video Detection Deep kernel relative test for machine-generated text detection

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-04T10:54:26.625869Z

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Observation 858ab2e1-8288-4e27-ba86-6a9bd8f12871 · outbound

This paper cites Dire for diffusion-generated image detection.

Physics-Driven Spatiotemporal Modeling for AI-Generated Video Detection Dire for diffusion-generated image detection

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-04T10:54:26.716278Z

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Observation 9dd74de3-88e9-4782-bfdb-aedd689f9174 · outbound

This paper cites Detect- ing machine-generated texts by multi-population aware optimization for maximum mean discrepancy.

Physics-Driven Spatiotemporal Modeling for AI-Generated Video Detection Detect- ing machine-generated texts by multi-population aware optimization for maximum mean discrepancy

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-04T10:54:26.799890Z

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Observation c84ea576-d46b-4fa7-af26-44cf2786313c · outbound

This paper cites Generating long videos of dynamic scenes.

Physics-Driven Spatiotemporal Modeling for AI-Generated Video Detection Generating long videos of dynamic scenes

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-04T10:54:26.857156Z

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Observation b0cc22a9-e6ec-458b-ace2-0403aa35c11b · outbound

This paper cites Quantum field theory.Reviews of Modern Physics, 71(2):S85, 1999.

Physics-Driven Spatiotemporal Modeling for AI-Generated Video Detection Quantum field theory.Reviews of Modern Physics, 71(2):S85, 1999

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-04T10:54:26.960440Z

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Observation 3a45fa1b-76ec-40e1-b26e-cdef9b33c446 · outbound

This paper cites Courier Corporation, 1978.

Physics-Driven Spatiotemporal Modeling for AI-Generated Video Detection Courier Corporation, 1978

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-04T10:54:27.038456Z

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Observation ceb8a45c-7711-4a71-925b-8eda6fd9b098 · outbound

This paper cites Electron spin and probability current density in quantum mechanics.American Journal of Physics, 82(7):681–690, 2014.

Physics-Driven Spatiotemporal Modeling for AI-Generated Video Detection Electron spin and probability current density in quantum mechanics.American Journal of Physics, 82(7):681–690, 2014

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-04T10:54:27.126879Z

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Observation af7b6d35-6ce1-4ed6-ba50-f3a93f7a3b33 · outbound

This paper cites Fokker-planck equation.

Physics-Driven Spatiotemporal Modeling for AI-Generated Video Detection Fokker-planck equation

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-04T10:54:27.215629Z

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Observation 4fa8ac82-79b9-4db4-b45a-6dd51ff428b8 · outbound

This paper cites John Wiley & Sons, 2024.

Physics-Driven Spatiotemporal Modeling for AI-Generated Video Detection John Wiley & Sons, 2024

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-04T10:54:27.355107Z

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Observation e6bf4dfb-d6ef-4794-be94-9f32fe04ea67 · outbound

This paper cites Springer Science & Business Media, 2013.

Physics-Driven Spatiotemporal Modeling for AI-Generated Video Detection Springer Science & Business Media, 2013

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-04T10:54:27.418821Z

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Observation f4d2420a-bebf-4fe7-98f4-4a02d9fb202f · outbound

This paper cites Diffusion models beat gans on image synthesis.

Physics-Driven Spatiotemporal Modeling for AI-Generated Video Detection Diffusion models beat gans on image synthesis

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Observation 924c642b-3c6d-4073-b630-97dcc419c89d · outbound

This paper cites Maximum mean discrepancy test is aware of adversarial attacks.

Physics-Driven Spatiotemporal Modeling for AI-Generated Video Detection Maximum mean discrepancy test is aware of adversarial attacks

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-04T10:54:27.632604Z

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Observation f49b2903-5829-4cd5-a046-aad6f2da23c9 · outbound

This paper cites Detecting adversarial data by probing multiple perturbations using expected perturbation score.

Physics-Driven Spatiotemporal Modeling for AI-Generated Video Detection Detecting adversarial data by probing multiple perturbations using expected perturbation score

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Resolution: unresolved; no resolver link, observed 2026-08-04T10:54:27.750521Z

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Observation f6681dd2-02e3-4d08-ba9a-fa15abd4775c · outbound

This paper cites Toward understanding generative data augmentation.Advances in neural information processing systems, 36:54046–54060, 2023.

Physics-Driven Spatiotemporal Modeling for AI-Generated Video Detection Toward understanding generative data augmentation.Advances in neural information processing systems, 36:54046–54060, 2023

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Resolution: unresolved; no resolver link, observed 2026-08-04T10:54:27.831063Z

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Observation 3ebe80a8-16c1-4284-82f9-4f25f65c81c1 · outbound

This paper cites Embedding trajectory for out-of-distribution detection in mathematical reasoning.Advances in Neural Information Processing Systems, 37:42965–42999, 2024.

Physics-Driven Spatiotemporal Modeling for AI-Generated Video Detection Embedding trajectory for out-of-distribution detection in mathematical reasoning.Advances in Neural Information Processing Systems, 37:42965–42999, 2024

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Resolution: unresolved; no resolver link, observed 2026-08-04T10:54:27.983515Z

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Observation e5f04858-a310-415c-97f3-d75307f4fcc7 · outbound

This paper cites Approximate formulae for the percentage points and the probability integral of the non-centralχ2 distribution.Biometrika, 41(3/4):538–540, 1954.

Physics-Driven Spatiotemporal Modeling for AI-Generated Video Detection Approximate formulae for the percentage points and the probability integral of the non-centralχ2 distribution.Biometrika, 41(3/4):538–540, 1954

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Resolution: unresolved; no resolver link, observed 2026-08-04T10:54:28.044315Z

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Observation 3b210bcb-ab0d-444c-9b1b-05a6d7ecb898 · outbound

This paper cites The Kinetics Human Action Video Dataset.

Physics-Driven Spatiotemporal Modeling for AI-Generated Video Detection The Kinetics Human Action Video Dataset

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-04T10:54:28.189233Z

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Observation fa1366fa-c51e-4a8d-9d69-7f7b1b376bc4 · outbound

This paper cites Seine: Short-to-long video diffusion model for generative transition and prediction.

Physics-Driven Spatiotemporal Modeling for AI-Generated Video Detection Seine: Short-to-long video diffusion model for generative transition and prediction

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Resolution: unresolved; no resolver link, observed 2026-08-04T10:54:28.296619Z

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Observation 1adb3f16-1830-415e-bbf6-2e195ac99d7e · outbound

This paper cites Pika: Empowering non-programmers to author executable governance policies in online communities.

Physics-Driven Spatiotemporal Modeling for AI-Generated Video Detection Pika: Empowering non-programmers to author executable governance policies in online communities

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Resolution: unresolved; no resolver link, observed 2026-08-04T10:54:28.406702Z

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Observation cb4aa034-6f70-4afa-b041-2cd3f9d4d908 · outbound

This paper cites Msr-vtt: A large video description dataset for bridging video and language.

Physics-Driven Spatiotemporal Modeling for AI-Generated Video Detection Msr-vtt: A large video description dataset for bridging video and language

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Resolution: unresolved; no resolver link, observed 2026-08-04T10:54:28.509959Z

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Observation 697655e7-27f2-46f3-ad7b-e47876105d7f · outbound

This paper cites Muc-5 evaluation metrics.

Physics-Driven Spatiotemporal Modeling for AI-Generated Video Detection Muc-5 evaluation metrics

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-04T10:54:28.617213Z

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Observation 6b999a9a-e006-418d-bfbc-c318e4f45937 · outbound

This paper cites Using auc and accuracy in evaluating learning algorithms.

Physics-Driven Spatiotemporal Modeling for AI-Generated Video Detection Using auc and accuracy in evaluating learning algorithms

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Resolution: unresolved; no resolver link, observed 2026-08-04T10:54:28.705509Z

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Observation 1bb09417-73a8-4df0-8673-40c0343daeb3 · outbound

This paper cites Minimum contrast estimators on sieves: exponential bounds and rates of convergence.

Physics-Driven Spatiotemporal Modeling for AI-Generated Video Detection Minimum contrast estimators on sieves: exponential bounds and rates of convergence

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Resolution: unresolved; no resolver link, observed 2026-08-04T10:54:28.876468Z

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Observation 13ec6c60-626c-464a-b404-b2bf302381ae · outbound

This paper cites Kernel-based tests for likelihood-free hypothesis testing.Advances in Neural Information Processing Systems, 36:15680–15715, 2023.

Physics-Driven Spatiotemporal Modeling for AI-Generated Video Detection Kernel-based tests for likelihood-free hypothesis testing.Advances in Neural Information Processing Systems, 36:15680–15715, 2023

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Resolution: unresolved; no resolver link, observed 2026-08-04T10:54:28.938627Z

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Observation a6f20223-b742-42c9-b1dc-4749e971720a · outbound

This paper cites Nyström m-hilbert-schmidt independence criterion.

Physics-Driven Spatiotemporal Modeling for AI-Generated Video Detection Nyström m-hilbert-schmidt independence criterion

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Resolution: unresolved; no resolver link, observed 2026-08-04T10:54:29.053317Z

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Observation 21347c84-9226-47c1-a023-45428b380389 · outbound

This paper cites Trustworthy machine learning: From data to models.Foundations and Trends® in Privacy and Security, 7(2-3):74–246, 2025.

Physics-Driven Spatiotemporal Modeling for AI-Generated Video Detection Trustworthy machine learning: From data to models.Foundations and Trends® in Privacy and Security, 7(2-3):74–246, 2025

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Resolution: unresolved; no resolver link, observed 2026-08-04T10:54:29.186510Z

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Observation 70dbcb64-f7ec-4826-a43a-802083867e79 · outbound

This paper cites Integral probability metrics and their generating classes of functions.Advances in applied probability, 29(2):429–443, 1997.

Physics-Driven Spatiotemporal Modeling for AI-Generated Video Detection Integral probability metrics and their generating classes of functions.Advances in applied probability, 29(2):429–443, 1997

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Resolution: unresolved; no resolver link, observed 2026-08-04T10:54:29.300124Z

Source-reported events for the cited work

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Observation 9062c142-8022-4e38-b85d-b2e39779ab08 · outbound

This paper cites Cheung, and James T.

Physics-Driven Spatiotemporal Modeling for AI-Generated Video Detection Cheung, and James T

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Resolution: unresolved; no resolver link, observed 2026-08-04T10:54:29.401492Z

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Observation 6a8ac021-72a9-47ab-9190-29b4347dd5c4 · outbound

This paper cites Minimax estimation of maximum mean discrepancy with radial kernels.Advances in Neural Information Processing Systems, 29, 2016.

Physics-Driven Spatiotemporal Modeling for AI-Generated Video Detection Minimax estimation of maximum mean discrepancy with radial kernels.Advances in Neural Information Processing Systems, 29, 2016

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Resolution: unresolved; no resolver link, observed 2026-08-04T10:54:29.464609Z

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Observation 217faeaa-35bf-44e8-9c03-aad1755f51dd · outbound

This paper cites Minimax optimality of permuta- tion tests.The Annals of Statistics, 50(1):225–251, 2022.

Physics-Driven Spatiotemporal Modeling for AI-Generated Video Detection Minimax optimality of permuta- tion tests.The Annals of Statistics, 50(1):225–251, 2022

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Resolution: unresolved; no resolver link, observed 2026-08-04T10:54:29.537308Z

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Observation db9c54da-b929-4ebf-97e6-73ec42ea623b · outbound

This paper cites Youku-mPLUG: A 10 Million Large-scale Chinese Video-Language Dataset for Pre-training and Benchmarks.

Physics-Driven Spatiotemporal Modeling for AI-Generated Video Detection Youku-mPLUG: A 10 Million Large-scale Chinese Video-Language Dataset for Pre-training and Benchmarks

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Resolution: unresolved; no resolver link, observed 2026-08-04T10:54:29.611312Z

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Observation 2bc2342b-9870-4c2c-a251-400a488739fb · outbound

This paper cites an unresolved cited work.

Physics-Driven Spatiotemporal Modeling for AI-Generated Video Detection Unresolved cited work

Reference 77

Resolution: unresolved; no resolver link, observed 2026-08-04T10:54:29.698807Z

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Observation b3e55f4d-f54b-4c95-9429-87e91f8fed4e · outbound

This paper cites I2VGen-XL: High-Quality Image-to-Video Synthesis via Cascaded Diffusion Models.

Physics-Driven Spatiotemporal Modeling for AI-Generated Video Detection I2VGen-XL: High-Quality Image-to-Video Synthesis via Cascaded Diffusion Models

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Resolution: unresolved; no resolver link, observed 2026-08-04T10:54:29.734414Z

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Observation b77a58fe-04bb-43b0-95c2-d1b7c9a02553 · outbound

This paper cites Pia: Your person- alized image animator via plug-and-play modules in text-to-image models.

Physics-Driven Spatiotemporal Modeling for AI-Generated Video Detection Pia: Your person- alized image animator via plug-and-play modules in text-to-image models

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Resolution: unresolved; no resolver link, observed 2026-08-04T10:54:29.818894Z

Source-reported events for the cited work

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Observation f650d9b2-fe7a-487c-b4ff-083162ede5e1 · outbound

This paper cites Latte: Latent Diffusion Transformer for Video Generation.

Physics-Driven Spatiotemporal Modeling for AI-Generated Video Detection Latte: Latent Diffusion Transformer for Video Generation

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Resolution: unresolved; no resolver link, observed 2026-08-04T10:54:29.887390Z

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Observation 872169dc-ed8a-4c2c-a117-25ec7130c610 · outbound

This paper cites Open-Sora: Democratizing Efficient Video Production for All.

Physics-Driven Spatiotemporal Modeling for AI-Generated Video Detection Open-Sora: Democratizing Efficient Video Production for All

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Resolution: unresolved; no resolver link, observed 2026-08-04T10:54:29.953030Z

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Observation 54d88211-86b0-486b-9f2a-54317b8e2434 · outbound

This paper cites ModelScope Text-to-Video Technical Report.

Physics-Driven Spatiotemporal Modeling for AI-Generated Video Detection ModelScope Text-to-Video Technical Report

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Resolution: unresolved; no resolver link, observed 2026-08-04T10:54:30.014951Z

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Observation fde35ad6-885c-4ad5-a9da-52ed302f6c94 · outbound

This paper cites an unresolved cited work.

Physics-Driven Spatiotemporal Modeling for AI-Generated Video Detection Unresolved cited work

Reference 83

Resolution: unresolved; no resolver link, observed 2026-08-04T10:54:30.102568Z

Source-reported events for the cited work

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Observation 42363d8c-c084-4deb-bf3a-8ae9b6c419c3 · outbound

This paper cites Show-1: Marrying pixel and latent diffusion models for text-to-video generation, 2023.

Physics-Driven Spatiotemporal Modeling for AI-Generated Video Detection Show-1: Marrying pixel and latent diffusion models for text-to-video generation, 2023

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Resolution: unresolved; no resolver link, observed 2026-08-04T10:54:30.159696Z

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Observation 393b5610-9f2c-47ca-b438-28ce182f4b8e · outbound

This paper cites Structure and content-guided video synthesis with diffusion models.

Physics-Driven Spatiotemporal Modeling for AI-Generated Video Detection Structure and content-guided video synthesis with diffusion models

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Resolution: unresolved; no resolver link, observed 2026-08-04T10:54:30.218714Z

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Observation 51055e20-7b89-49ed-ab5a-e87a72efd481 · outbound

This paper cites VideoCrafter1: Open Diffusion Models for High-Quality Video Generation.

Physics-Driven Spatiotemporal Modeling for AI-Generated Video Detection VideoCrafter1: Open Diffusion Models for High-Quality Video Generation

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Resolution: unresolved; no resolver link, observed 2026-08-04T10:54:30.288405Z

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Observation 7376dd21-eba0-41ad-862a-cf14287fe3e9 · outbound

This paper cites Lavie: High-quality video generation with cascaded latent diffusion models.International Journal of Computer Vision, pages 1–20, 2024.

Physics-Driven Spatiotemporal Modeling for AI-Generated Video Detection Lavie: High-quality video generation with cascaded latent diffusion models.International Journal of Computer Vision, pages 1–20, 2024

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Resolution: unresolved; no resolver link, observed 2026-08-04T10:54:30.340544Z

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Observation 4851f20b-7935-4fbb-894f-869c9cc81c14 · outbound

This paper cites an unresolved cited work.

Physics-Driven Spatiotemporal Modeling for AI-Generated Video Detection Unresolved cited work

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Resolution: unresolved; no resolver link, observed 2026-08-04T10:54:30.414793Z

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Observation c8290bc3-399c-4e73-ac8d-709786e1e801 · outbound

This paper cites Swin transformer: Hierarchical vision transformer using shifted windows.

Physics-Driven Spatiotemporal Modeling for AI-Generated Video Detection Swin transformer: Hierarchical vision transformer using shifted windows

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Resolution: unresolved; no resolver link, observed 2026-08-04T10:54:30.481166Z

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Observation 26531c01-f346-4980-b27e-1eb04c9612f5 · outbound

This paper cites Adam: A method for stochastic optimization.

Physics-Driven Spatiotemporal Modeling for AI-Generated Video Detection Adam: A method for stochastic optimization

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Resolution: unresolved; no resolver link, observed 2026-08-04T10:54:30.570847Z

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Observation 99b94077-33d1-4e44-b852-087a632a16d0 · outbound

This paper cites Structural pruning for diffusion models.

Physics-Driven Spatiotemporal Modeling for AI-Generated Video Detection Structural pruning for diffusion models

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Resolution: unresolved; no resolver link, observed 2026-08-04T10:54:30.672212Z

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Observation 7cc4b9e8-a6c0-4fe3-91d1-6dcb67279655 · outbound

This paper cites Ptq4dit: Post- training quantization for diffusion transformers.Advances in Neural Information Processing Systems, 2024.

Physics-Driven Spatiotemporal Modeling for AI-Generated Video Detection Ptq4dit: Post- training quantization for diffusion transformers.Advances in Neural Information Processing Systems, 2024

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Resolution: unresolved; no resolver link, observed 2026-08-04T10:54:30.727547Z

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Observation c3ba11db-48ff-4087-a1d8-6e29b26b95d2 · outbound

This paper cites Svdqunat: Absorbing outliers by low-rank compo- nents for 4-bit diffusion models.

Physics-Driven Spatiotemporal Modeling for AI-Generated Video Detection Svdqunat: Absorbing outliers by low-rank compo- nents for 4-bit diffusion models

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Resolution: unresolved; no resolver link, observed 2026-08-04T10:54:30.798523Z

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Observation c3f2a8d0-e617-4294-bb4f-c9ea8f5f7c4a · outbound

This paper cites Mobilediffusion: Instant text-to-image generation on mobile devices.

Physics-Driven Spatiotemporal Modeling for AI-Generated Video Detection Mobilediffusion: Instant text-to-image generation on mobile devices

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Resolution: unresolved; no resolver link, observed 2026-08-04T10:54:30.882099Z

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Observation 57b28108-32f1-4ef2-95e5-915a5053cc8b · outbound

This paper cites Light-t2m: A lightweight and fast model for text-to-motion generation.

Physics-Driven Spatiotemporal Modeling for AI-Generated Video Detection Light-t2m: A lightweight and fast model for text-to-motion generation

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Resolution: unresolved; no resolver link, observed 2026-08-04T10:54:30.953806Z

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Observation f45bfda7-4aa4-4952-8d8d-432903d3871b · outbound

This paper cites Difffit: Unlocking transferability of large diffusion models via simple parameter- efficient fine-tuning.

Physics-Driven Spatiotemporal Modeling for AI-Generated Video Detection Difffit: Unlocking transferability of large diffusion models via simple parameter- efficient fine-tuning

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Resolution: unresolved; no resolver link, observed 2026-08-04T10:54:31.092372Z

Source-reported events for the cited work

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Observation 32717a06-5e0d-477a-8c72-eb92d4eeb510 · outbound

This paper cites Deft: Efficient fine-tuning of diffusion models by learning the generalised h-transform.Advances in Neural Information Processing Systems, 37:19636–19682, 2024.

Physics-Driven Spatiotemporal Modeling for AI-Generated Video Detection Deft: Efficient fine-tuning of diffusion models by learning the generalised h-transform.Advances in Neural Information Processing Systems, 37:19636–19682, 2024

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Resolution: unresolved; no resolver link, observed 2026-08-04T10:54:31.164980Z

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Observation 50218d55-dc27-44cc-a5aa-d4c4212e6ba5 · outbound

This paper cites Domain generalization enables gen- eral cancer cell annotation in single-cell and spatial transcriptomics.Nature Communications, 15(1):1929, 2024.

Physics-Driven Spatiotemporal Modeling for AI-Generated Video Detection Domain generalization enables gen- eral cancer cell annotation in single-cell and spatial transcriptomics.Nature Communications, 15(1):1929, 2024

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Resolution: unresolved; no resolver link, observed 2026-08-04T10:54:31.247921Z

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Observation 5873584b-9bdc-4b94-8098-18f9b57cc58f · outbound

This paper cites Deep transfer learning enables lesion tracing of circulating tumor cells.Nature Communications, 13(1):7687, 2022.

Physics-Driven Spatiotemporal Modeling for AI-Generated Video Detection Deep transfer learning enables lesion tracing of circulating tumor cells.Nature Communications, 13(1):7687, 2022

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Resolution: unresolved; no resolver link, observed 2026-08-04T10:54:31.359938Z

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Observation 7063520f-55b9-4040-a560-172a5712e747 · outbound

This paper cites Deepcache: Accelerating diffusion models for free.

Physics-Driven Spatiotemporal Modeling for AI-Generated Video Detection Deepcache: Accelerating diffusion models for free

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Resolution: unresolved; no resolver link, observed 2026-08-04T10:54:31.472203Z

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Pith citing papers

Observation 647858d2-7c3b-4155-ac97-1df417327b16 · inbound

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RobustSora: De-Watermarked Benchmark for Robust AI-Generated Video Detection Physics-Driven Spatiotemporal Modeling for AI-Generated Video Detection

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-06-11T02:08:35.588817Z

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No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 52d4b892-a5f1-49bf-8b21-45219be4ea65 · inbound

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

Skyra: AI-Generated Video Detection via Grounded Artifact Reasoning Physics-Driven Spatiotemporal Modeling for AI-Generated Video Detection

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Resolution: verified exact; arxiv_id, observed 2026-06-11T02:08:35.588817Z

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No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 241f442b-5a2a-4142-83e6-86a7804a11a4 · inbound

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Beyond Semantics: Uncovering the Physics of Fakes via Universal Physical Descriptors for Cross-Modal Synthetic Detection Physics-Driven Spatiotemporal Modeling for AI-Generated Video Detection

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Resolution: metadata mismatch; arxiv_id, observed 2026-06-11T02:08:35.588817Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation c50aa85b-6dbc-49b7-ad5e-0055754c472a · inbound

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Micro-Defects Expose Macro-Fakes: Detecting AI-Generated Images via Local Distributional Shifts Physics-Driven Spatiotemporal Modeling for AI-Generated Video Detection

Reference 53

Resolution: verified exact; arxiv_id, observed 2026-06-11T02:08:35.588817Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 90a4446a-3e60-41dd-ac2a-74558035e733 · inbound

CAM-VFD: Cross-Attention Multimodal Video Forgery Detection cites this paper.

CAM-VFD: Cross-Attention Multimodal Video Forgery Detection Physics-Driven Spatiotemporal Modeling for AI-Generated Video Detection

Reference 50

Resolution: verified exact; arxiv_id, observed 2026-06-11T02:08:35.588817Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation e0de16d3-6dc9-4b9c-80c8-20bc02f8a2d3 · inbound

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Rethinking the Readout: Unlocking Video Backbones for AI-Generated Video Detection Physics-Driven Spatiotemporal Modeling for AI-Generated Video Detection

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Resolution: unresolved; no resolver link, observed 2026-08-02T01:25:15.036619Z

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