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Paper Citation Record · LEDGER

Rethinking the Readout: Unlocking Video Backbones for AI-Generated Video Detection

As of 9 August 2026, this Paper Citation Record lists 40 of 40 outbound references and 0 inbound Pith citation observations for arXiv:2607.15321.

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

pith.paper-citation-record.v1
2607.15321 v1

Coverage vector

measured 40 of 40 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-02T01:25:17.797045Z

measured 40 of 40 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 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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Source: cited_works

Reference resolution

40 of 40 outbound references displayed

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Outbound references

Observation 191cdb13-2a8e-46d8-a6da-bb1d72c8f958 · outbound

This paper cites Video generation models as world simulators.

Rethinking the Readout: Unlocking Video Backbones for AI-Generated Video Detection Video generation models as world simulators

Reference 1

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source=pdf_text observed=2026-08-02T01:25:13.663746Z digest=sha256:63283528a11f1c4acbf9115bda642aec6f2ef189fbba4ae950681be46d92857a

Observation 39ed1b31-457c-4611-8756-dd3a60610d22 · outbound

This paper cites CogVideo: Large-scale Pretraining for Text-to-Video Generation via Transformers.

Rethinking the Readout: Unlocking Video Backbones for AI-Generated Video Detection CogVideo: Large-scale Pretraining for Text-to-Video Generation via Transformers

Reference 2

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Observation f88481bb-7dd4-4de8-8135-58cc0b351bab · outbound

This paper cites CogVideoX: Text-to-Video Diffusion Models with An Expert Transformer.

Rethinking the Readout: Unlocking Video Backbones for AI-Generated Video Detection CogVideoX: Text-to-Video Diffusion Models with An Expert Transformer

Reference 3

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source=pdf_text observed=2026-08-02T01:25:13.931554Z digest=sha256:d2728bfd0f8070afcd0c831ce7bba93624203f92c14772aca2548f739ed527d9

Observation 3527d7f8-13c1-4234-b400-81c077b1bd01 · outbound

This paper cites HunyuanVideo: A Systematic Framework For Large Video Generative Models.

Rethinking the Readout: Unlocking Video Backbones for AI-Generated Video Detection HunyuanVideo: A Systematic Framework For Large Video Generative Models

Reference 4

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source=pdf_text observed=2026-08-02T01:25:14.049045Z digest=sha256:4f737dbf2efcda447985778c4fb257aaefd4deeb32ac77c7a6244dfba3e5bec0

Observation 2bf3b855-16ca-4b8f-93b2-692800758272 · outbound

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

Rethinking the Readout: Unlocking Video Backbones for AI-Generated Video Detection Open-Sora: Democratizing Efficient Video Production for All

Reference 5

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source=pdf_text observed=2026-08-02T01:25:14.151599Z digest=sha256:842e277115fbbcc5b6f14ea6e929a92ceeb9e01e81f998920fa7f1747ed8c327

Observation 7c015a18-15d9-4ae3-b72d-fa0d4c312447 · outbound

This paper cites Wan: Open and Advanced Large-Scale Video Generative Models.

Rethinking the Readout: Unlocking Video Backbones for AI-Generated Video Detection Wan: Open and Advanced Large-Scale Video Generative Models

Reference 6

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Observation a324ac29-6902-4111-9d6a-6424eabdeb52 · outbound

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

Rethinking the Readout: Unlocking Video Backbones for AI-Generated Video Detection DeMamba: AI-Generated Video Detection on Million-Scale GenVideo Benchmark

Reference 7

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source=pdf_text observed=2026-08-02T01:25:14.382378Z digest=sha256:e4d30798486464237d83bf6e70a590eea2e0927712ca3a4142781cd4f2e03d12

Observation 410ed781-e232-4db9-a7a0-e19999bf62d6 · outbound

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

Rethinking the Readout: Unlocking Video Backbones for AI-Generated Video Detection Ai-generated video detection via spatial-temporal anomaly learning

Reference 8

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source=pdf_text observed=2026-08-02T01:25:14.491837Z digest=sha256:24093b27897c6770615ea713d6a678468aa006b26d09de7a137af4ac24d54e80

Observation e0bae2fb-e9d7-4708-b3c4-23ed58233d0c · outbound

This paper cites Turns Out I'm Not Real: Towards Robust Detection of AI-Generated Videos.

Rethinking the Readout: Unlocking Video Backbones for AI-Generated Video Detection Turns Out I'm Not Real: Towards Robust Detection of AI-Generated Videos

Reference 9

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source=pdf_text observed=2026-08-02T01:25:14.591528Z digest=sha256:29cbe6443647ab63738c5ee0ac329bef174e8e777620ceabdbc366c31455ce20

Observation 74bc3ff7-49ed-440c-8d4c-d2234cf0cec4 · outbound

This paper cites Training-free detection of generated videos via spatial-temporal likelihoods.arXiv preprint arXiv:2603.15026, 2026.

Rethinking the Readout: Unlocking Video Backbones for AI-Generated Video Detection Training-free detection of generated videos via spatial-temporal likelihoods.arXiv preprint arXiv:2603.15026, 2026

Reference 10

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source=pdf_text observed=2026-08-02T01:25:14.690565Z digest=sha256:d0c41ee8456c5df823f874e893f3433f88ca87a38867e4f1ea4a728c0ab267d5

Observation d382c04a-8dc4-4aa2-acb2-9006063537b5 · outbound

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

Rethinking the Readout: Unlocking Video Backbones for AI-Generated Video Detection Rethink- ing the up-sampling operations in cnn-based generative network for generalizable deepfake detection

Reference 11

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source=pdf_text observed=2026-08-02T01:25:14.767515Z digest=sha256:930074fe19d55eabdc7b723552ea43f07b9d77b6c55830e9889298ebb607608b

Observation 153446c9-2862-4f23-9b7c-b6b19f0088b6 · outbound

This paper cites Dual data alignment makes ai-generated image detector easier generalizable.arXiv preprint arXiv:2505.14359, 2025.

Rethinking the Readout: Unlocking Video Backbones for AI-Generated Video Detection Dual data alignment makes ai-generated image detector easier generalizable.arXiv preprint arXiv:2505.14359, 2025

Reference 12

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Observation 222e32dd-0f29-49ca-8ef9-10be9f460452 · outbound

This paper cites Orthogonal Subspace Decomposition for Generalizable AI-Generated Image Detection.

Rethinking the Readout: Unlocking Video Backbones for AI-Generated Video Detection Orthogonal Subspace Decomposition for Generalizable AI-Generated Image Detection

Reference 13

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Observation 20ab9315-31a3-4842-87a6-14c7c520e806 · outbound

This paper cites Your one-stop solution for ai-generated video detection.arXiv preprint arXiv:2601.11035, 2026.

Rethinking the Readout: Unlocking Video Backbones for AI-Generated Video Detection Your one-stop solution for ai-generated video detection.arXiv preprint arXiv:2601.11035, 2026

Reference 14

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source=pdf_text observed=2026-08-02T01:25:14.973993Z digest=sha256:2f4157c98b16b5ca7734d941bab3d5baefe5f0503c1c44bcfe24557c8baae473

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

This paper cites Physics-Driven Spatiotemporal Modeling for AI-Generated Video Detection.

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

Reference 15

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Observation b82ecf64-65ec-46c8-887c-6a4e2118f2cb · outbound

This paper cites Beyond spatial frequency: Pixel-wise temporal frequency-based deepfake video detection.

Rethinking the Readout: Unlocking Video Backbones for AI-Generated Video Detection Beyond spatial frequency: Pixel-wise temporal frequency-based deepfake video detection

Reference 16

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Observation 477281dc-347a-4ae7-add4-0846084383ff · outbound

This paper cites What matters in detecting ai-generated videos like sora?arXiv e-prints, pages arXiv–2406, 2024.

Rethinking the Readout: Unlocking Video Backbones for AI-Generated Video Detection What matters in detecting ai-generated videos like sora?arXiv e-prints, pages arXiv–2406, 2024

Reference 17

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Observation 8252c518-457e-446d-a856-cc8c6ca48c1e · outbound

This paper cites Detecting ai-generated video via frame consistency.

Rethinking the Readout: Unlocking Video Backbones for AI-Generated Video Detection Detecting ai-generated video via frame consistency

Reference 18

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Observation 631c6b51-616a-4686-9d42-04fcb96efbdb · outbound

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

Rethinking the Readout: Unlocking Video Backbones for AI-Generated Video Detection Skyra: AI-Generated Video Detection via Grounded Artifact Reasoning

Reference 19

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Observation 32c5e849-d8b9-4c81-9a4e-be8cb3f73bd3 · outbound

This paper cites Ivy-Fake: A Unified Explainable Framework and Benchmark for Image and Video AIGC Detection.

Rethinking the Readout: Unlocking Video Backbones for AI-Generated Video Detection Ivy-Fake: A Unified Explainable Framework and Benchmark for Image and Video AIGC Detection

Reference 20

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Observation 7db9e251-8725-4afc-9d29-6b1cff75bc35 · outbound

This paper cites Breaking Latent Prior Bias in Detectors for Generalizable AIGC Image Detection.

Rethinking the Readout: Unlocking Video Backbones for AI-Generated Video Detection Breaking Latent Prior Bias in Detectors for Generalizable AIGC Image Detection

Reference 21

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Observation 717e4620-e4a1-45d1-b768-8a479786dc5f · outbound

This paper cites Gc-consflow: Leveraging optical flow residuals and global context for robust deepfake detection.

Rethinking the Readout: Unlocking Video Backbones for AI-Generated Video Detection Gc-consflow: Leveraging optical flow residuals and global context for robust deepfake detection

Reference 22

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Observation b7ea448b-f819-4ca3-b5a6-08ee38471556 · outbound

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

Rethinking the Readout: Unlocking Video Backbones for AI-Generated Video Detection Thinking in frequency: Face forgery detection by mining frequency-aware clues

Reference 23

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Observation 218a587c-3b7c-4786-97d6-033442369e00 · outbound

This paper cites Cinemae: Leveraging frozen masked autoencoders for cross-generator ai image detection.arXiv preprint arXiv:2511.06325, 2025.

Rethinking the Readout: Unlocking Video Backbones for AI-Generated Video Detection Cinemae: Leveraging frozen masked autoencoders for cross-generator ai image detection.arXiv preprint arXiv:2511.06325, 2025

Reference 24

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Observation ab625921-8035-4a23-9189-703f51cc8e33 · outbound

This paper cites Towards universal fake image detectors that generalize across generative models.

Rethinking the Readout: Unlocking Video Backbones for AI-Generated Video Detection Towards universal fake image detectors that generalize across generative models

Reference 25

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Observation 7f2fd2d0-9f73-446e-b340-722c63f6774d · outbound

This paper cites Mirror: Manifold ideal reference reconstructor for generalizable ai-generated image detection.arXiv preprint arXiv:2602.02222, 2026.

Rethinking the Readout: Unlocking Video Backbones for AI-Generated Video Detection Mirror: Manifold ideal reference reconstructor for generalizable ai-generated image detection.arXiv preprint arXiv:2602.02222, 2026

Reference 26

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Observation 99c4b83f-0761-4583-97b6-d72d75668db1 · outbound

This paper cites Is space-time attention all you need for video understanding? InIcml, volume 2, page 4, 2021.

Rethinking the Readout: Unlocking Video Backbones for AI-Generated Video Detection Is space-time attention all you need for video understanding? InIcml, volume 2, page 4, 2021

Reference 27

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Observation 0055b29e-2f2a-426a-8515-887c2d7c89aa · outbound

This paper cites Videomae: Masked autoencoders are data-efficient learners for self-supervised video pre-training.Advances in neural information processing systems, 35:10078–10093, 2022.

Rethinking the Readout: Unlocking Video Backbones for AI-Generated Video Detection Videomae: Masked autoencoders are data-efficient learners for self-supervised video pre-training.Advances in neural information processing systems, 35:10078–10093, 2022

Reference 28

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Observation 09b3d675-5426-4733-88da-c9b72119243f · outbound

This paper cites UniFormerV2: Spatiotemporal Learning by Arming Image ViTs with Video UniFormer.

Rethinking the Readout: Unlocking Video Backbones for AI-Generated Video Detection UniFormerV2: Spatiotemporal Learning by Arming Image ViTs with Video UniFormer

Reference 29

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Observation 041493e6-e6ec-4441-86e5-1a7f4597f67e · outbound

This paper cites Slowfast networks for video recognition.

Rethinking the Readout: Unlocking Video Backbones for AI-Generated Video Detection Slowfast networks for video recognition

Reference 30

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Observation b21f3564-6701-411c-83eb-cfae861949f4 · outbound

This paper cites Quo vadis, action recognition? a new model and the kinetics dataset.

Rethinking the Readout: Unlocking Video Backbones for AI-Generated Video Detection Quo vadis, action recognition? a new model and the kinetics dataset

Reference 31

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Observation 6a607de3-78b1-403a-a517-ae4e3e412541 · outbound

This paper cites Expanding language-image pretrained models for general video recognition.

Rethinking the Readout: Unlocking Video Backbones for AI-Generated Video Detection Expanding language-image pretrained models for general video recognition

Reference 32

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Observation 373ff367-c2a7-4246-9402-0f12d6ac6365 · outbound

This paper cites The Kinetics Human Action Video Dataset.

Rethinking the Readout: Unlocking Video Backbones for AI-Generated Video Detection The Kinetics Human Action Video Dataset

Reference 33

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Observation 335c2d24-1741-4f7c-bd06-ccc7091b27e8 · outbound

This paper cites Com- bining efficientnet and vision transformers for video deepfake detection.

Rethinking the Readout: Unlocking Video Backbones for AI-Generated Video Detection Com- bining efficientnet and vision transformers for video deepfake detection

Reference 34

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Observation 5431405e-c989-4915-ac29-1448dfb67fdf · outbound

This paper cites Deepfake Detection Scheme Based on Vision Transformer and Distillation.

Rethinking the Readout: Unlocking Video Backbones for AI-Generated Video Detection Deepfake Detection Scheme Based on Vision Transformer and Distillation

Reference 35

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source=pdf_text observed=2026-08-02T01:25:17.202580Z digest=sha256:d324d38cb0d4e333723b011fb96b4a874a9cfa3e737a8776ec150521252232d2

Observation 301ee4ad-b05c-4089-9967-3ed109403058 · outbound

This paper cites Deepfake Video Detection Using Convolutional Vision Transformer.

Rethinking the Readout: Unlocking Video Backbones for AI-Generated Video Detection Deepfake Video Detection Using Convolutional Vision Transformer

Reference 36

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source=pdf_text observed=2026-08-02T01:25:17.344843Z digest=sha256:1bf83aa4816498b54029efe997d4be7b5633bd258e7e7a094f7acf7020e45c58

Observation aeb920ba-5d9d-48f5-831a-041d629028e4 · outbound

This paper cites Deep convolutional pooling trans- former for deepfake detection.ACM transactions on multimedia computing, communications and applications, 19(6):1–20, 2023.

Rethinking the Readout: Unlocking Video Backbones for AI-Generated Video Detection Deep convolutional pooling trans- former for deepfake detection.ACM transactions on multimedia computing, communications and applications, 19(6):1–20, 2023

Reference 37

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no resolver link, observed 2026-08-02T01:25:17.454019Z

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source=pdf_text observed=2026-08-02T01:25:17.454019Z digest=sha256:118d8b40abe93461beaf38e62f8cbdeaf5dd95b1f5d4a161cfdd8af57cdd4d22

Observation 90c32ed6-d98a-4170-b143-59041ba2a0c5 · outbound

This paper cites Ai-generated video detection via perceptual straightening.arXiv preprint arXiv:2507.00583, 2025.

Rethinking the Readout: Unlocking Video Backbones for AI-Generated Video Detection Ai-generated video detection via perceptual straightening.arXiv preprint arXiv:2507.00583, 2025

Reference 38

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no resolver link, observed 2026-08-02T01:25:17.592001Z

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source=pdf_text observed=2026-08-02T01:25:17.592001Z digest=sha256:14221e31a89cd07b9bfd91a070f837c167cba6fa590ee9d230a5334a2e830168

Observation 410d13bf-647f-44a7-bdf0-d8adacfd63d6 · outbound

This paper cites Genvidbench: A challenging benchmark for detecting ai-generated video.

Rethinking the Readout: Unlocking Video Backbones for AI-Generated Video Detection Genvidbench: A challenging benchmark for detecting ai-generated video

Reference 39

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no resolver link, observed 2026-08-02T01:25:17.711764Z

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source=pdf_text observed=2026-08-02T01:25:17.711764Z digest=sha256:ddef8b1ed023db2b3d7a4ab9527ce01fdda226729f3ebe37a4e19fa54b10e26a

Observation e7baab03-7d6c-454b-ad02-d02bfe7f14d0 · outbound

This paper cites Qwen3-VL Technical Report.

Rethinking the Readout: Unlocking Video Backbones for AI-Generated Video Detection Qwen3-VL Technical Report

Reference 40

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no resolver link, observed 2026-08-02T01:25:17.797045Z

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source=pdf_text observed=2026-08-02T01:25:17.797045Z digest=sha256:45397b974a3a107a2da951c82bc466e9ec75712ad53a1c407552005cea5d15af

Pith citing papers

No inbound Pith citation observations are available.