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Paper Citation Record · LEDGER

DAVID-XR1: Detecting AI-Generated Videos with Explainable Reasoning

As of 23 August 2026, this Paper Citation Record lists 59 of 59 outbound references and 5 inbound Pith citation observations for arXiv:2506.14827.

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

pith.paper-citation-record.v1
2506.14827 v1

Coverage vector

measured 59 of 59 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T04:09:02.059731Z

measured 64 of 64 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T14:18:12.929450Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T22:56:20.981001Z

Reference resolution

59 of 59 outbound references displayed

  • verified exact0
  • verified fuzzy15
  • unresolved44
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a536dd95-6ac9-4f83-ba5d-a4b1256c29f8 · outbound

This paper cites an unresolved cited work.

DAVID-XR1: Detecting AI-Generated Videos with Explainable Reasoning Unresolved cited work

Reference 1

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T04:08:52.187593Z digest=sha256:132b089ec708cafa619d14f46e754278aba90d03480a0f5e3f0b84b84049b0a1

Observation 3c0810f5-828f-43c2-94dc-66259450a0e3 · outbound

This paper cites Gradio: Hassle-Free Sharing and Testing of ML Models in the Wild.

DAVID-XR1: Detecting AI-Generated Videos with Explainable Reasoning Gradio: Hassle-Free Sharing and Testing of ML Models in the Wild

Reference 2

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source=pdf_text observed=2026-08-07T04:08:52.273655Z digest=sha256:008ca82a958e7e2a0e1444b6642ed8c2ba68be65d86b0407d6092342b2ebb5f0

Observation 429fe9e1-e889-4a5b-9126-e9420eb266a5 · outbound

This paper cites Jimeng.https://jimeng.jianying.com/, 2024.

DAVID-XR1: Detecting AI-Generated Videos with Explainable Reasoning Jimeng.https://jimeng.jianying.com/, 2024

Reference 3

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Observation 951e7640-49cc-4e7b-8633-4b93336e3ef3 · outbound

This paper cites Kling 1.5.https://www.klingai.com/, 2024.

DAVID-XR1: Detecting AI-Generated Videos with Explainable Reasoning Kling 1.5.https://www.klingai.com/, 2024

Reference 4

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T04:08:52.478877Z digest=sha256:e843eafe4142c9ce9f6b1dd16b2deda1a85f8e72857fffacb55cb3ffcde5f84b

Observation 7888959b-00af-4992-b179-676fe02dc6b9 · outbound

This paper cites Bream machine.https://lumalabs.ai/dream-machine, 2024.

DAVID-XR1: Detecting AI-Generated Videos with Explainable Reasoning Bream machine.https://lumalabs.ai/dream-machine, 2024

Reference 5

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T04:08:52.627284Z digest=sha256:e5468878a575931a11e703f0a578cbef297d3de8bb1df509404dd453a7642e1a

Observation 3bedd88e-a0d0-45fb-89dc-28ea0de5fc6c · outbound

This paper cites Vidu 1.5.https://www.vidu.com/, 2024.

DAVID-XR1: Detecting AI-Generated Videos with Explainable Reasoning Vidu 1.5.https://www.vidu.com/, 2024

Reference 6

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T04:08:52.728266Z digest=sha256:159195c5b429942edc8640401e9a87fc8083f4ed77aef9c8bf515c89d2204dc8

Observation 84ef8a95-3c37-49c6-b19a-ec76fa8fe636 · outbound

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

DAVID-XR1: Detecting AI-Generated Videos with Explainable Reasoning Ai-generated video detection via spatial-temporal anomaly learning

Reference 7

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source=pdf_text observed=2026-08-07T04:08:52.823019Z digest=sha256:ed40118cb164cc403dcdfbf09e6e672a5245c3f844088713f9027bae853a3cf6

Observation 7117c927-16f0-4bd4-a6ec-9119213a1b2d · outbound

This paper cites Qwen2.5-VL Technical Report.

DAVID-XR1: Detecting AI-Generated Videos with Explainable Reasoning Qwen2.5-VL Technical Report

Reference 8

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source=pdf_text observed=2026-08-07T04:08:52.939254Z digest=sha256:9da4003c6ca041b4f502f57490f50934135b5a00421ed8f4b891ec1f717bb9db

Observation 60bd8ee7-c887-46aa-bdfb-e199853ec98c · outbound

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

DAVID-XR1: Detecting AI-Generated Videos with Explainable Reasoning Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets

Reference 9

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source=pdf_text observed=2026-08-07T04:08:53.108092Z digest=sha256:261fca1bb7f49b58eac1ad3f6fe96d04e2134a555f20f8221d6841c65df63c9b

Observation e907a053-6eb8-4628-8a8d-17f8d094c9ef · outbound

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

DAVID-XR1: Detecting AI-Generated Videos with Explainable Reasoning Align your latents: High-resolution video synthesis with latent diffusion models

Reference 10

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source=pdf_text observed=2026-08-07T04:08:53.171278Z digest=sha256:ba301df65f953572b435b94b132a10a2a3ad41f4d9b872143869662887a9de54

Observation 0e07b6e6-f842-4d21-ad9c-56766bced1c0 · outbound

This paper cites Video generation models as world simulators.

DAVID-XR1: Detecting AI-Generated Videos with Explainable Reasoning Video generation models as world simulators

Reference 11

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source=pdf_text observed=2026-08-07T04:08:53.253131Z digest=sha256:f27e477f8e78ebd20cd01e4d22c935329500972d53707048c0493f4b722d3cc2

Observation a4a253ce-66e8-46fd-9806-6f609410d1ca · outbound

This paper cites K-means clustering.Virginia Tech, Advanced Research Computing, Interdisci- plinary Center for Applied Mathematics, 2009.

DAVID-XR1: Detecting AI-Generated Videos with Explainable Reasoning K-means clustering.Virginia Tech, Advanced Research Computing, Interdisci- plinary Center for Applied Mathematics, 2009

Reference 12

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T04:08:53.343868Z digest=sha256:2b2f4f8a4f1810ce205cd7ab4ac10a2b6691c36564a64e2dad71e68e9d5f188b

Observation 807d0559-b89a-4217-8edd-595c002d42a0 · outbound

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

DAVID-XR1: Detecting AI-Generated Videos with Explainable Reasoning VideoCrafter1: Open Diffusion Models for High-Quality Video Generation

Reference 13

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source=pdf_text observed=2026-08-07T04:08:53.497531Z digest=sha256:316f5fca7a19b43dc2cb5900c6a9b3f04b6e098bc4c503c008517411cd5de1a1

Observation aa181e10-acfa-4204-9c94-39605c2c28ae · outbound

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

DAVID-XR1: Detecting AI-Generated Videos with Explainable Reasoning Videocrafter2: Overcoming data limitations for high-quality video diffusion models

Reference 14

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source=pdf_text observed=2026-08-07T04:08:53.615215Z digest=sha256:0d028d1c89c089754dedaab2232a7562e9d7df747b286de7e9e385e42ea2c7fb

Observation b4040142-3bda-403b-95ea-d4a09316bb49 · outbound

This paper cites Demamba: Ai-generated video detection on million-scale genvideo benchmark, 2024.

DAVID-XR1: Detecting AI-Generated Videos with Explainable Reasoning Demamba: Ai-generated video detection on million-scale genvideo benchmark, 2024

Reference 15

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T04:08:53.727400Z digest=sha256:ac4ac2dd46b07fa0421d47c42dca5e3fe5c43d897af27d2243f6e63fc3a0072e

Observation ecf8d31d-2982-49d2-9e2e-f0377922530b · outbound

This paper cites Internvl: Scaling up vision foundation models and aligning for generic visual-linguistic tasks.

DAVID-XR1: Detecting AI-Generated Videos with Explainable Reasoning Internvl: Scaling up vision foundation models and aligning for generic visual-linguistic tasks

Reference 16

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source=pdf_text observed=2026-08-07T04:08:53.830460Z digest=sha256:799cac3251743ac483e91160ea84322831786b79a7eccbc180cfdcfb0657a768

Observation 2ce8fd4d-5cef-4121-8368-d09de60cdb0a · outbound

This paper cites Video-of-Thought: Step-by-Step Video Reasoning from Perception to Cognition.

DAVID-XR1: Detecting AI-Generated Videos with Explainable Reasoning Video-of-Thought: Step-by-Step Video Reasoning from Perception to Cognition

Reference 17

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source=pdf_text observed=2026-08-07T04:08:53.934003Z digest=sha256:3c36f2f20a2ee1de718d0276d473dbde3e587a515b8ec33ce4459b8ae269f9bd

Observation 7b07519b-5ef0-457f-b17f-6d27a24ad23e · outbound

This paper cites VideoEspresso: A Large-Scale Chain-of-Thought Dataset for Fine-Grained Video Reasoning via Core Frame Selection.

DAVID-XR1: Detecting AI-Generated Videos with Explainable Reasoning VideoEspresso: A Large-Scale Chain-of-Thought Dataset for Fine-Grained Video Reasoning via Core Frame Selection

Reference 18

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source=pdf_text observed=2026-08-07T04:08:54.039135Z digest=sha256:a29c5203502d2f76a3db98947cc694bb384c9138faecc29bf4b6dd325a25b308

Observation 40796e0e-2001-4baf-a399-f0c1da6f7028 · outbound

This paper cites Exposing AI-generated Videos: A Benchmark Dataset and a Local-and-Global Temporal Defect Based Detection Method.

DAVID-XR1: Detecting AI-Generated Videos with Explainable Reasoning Exposing AI-generated Videos: A Benchmark Dataset and a Local-and-Global Temporal Defect Based Detection Method

Reference 19

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source=pdf_text observed=2026-08-07T04:08:54.148189Z digest=sha256:246f77ced99085a0addcb2ba0ddc86e3a0a3dfe4aca204e335082de4282357de

Observation 928398d1-8cce-4293-bb74-612a4204b90f · outbound

This paper cites Latent Video Diffusion Models for High-Fidelity Long Video Generation.

DAVID-XR1: Detecting AI-Generated Videos with Explainable Reasoning Latent Video Diffusion Models for High-Fidelity Long Video Generation

Reference 20

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source=pdf_text observed=2026-08-07T04:08:54.263803Z digest=sha256:95d3cb61b9d5cea27257e5342cdceb8299e104b1d9326ca8e8c872beb4f6b253

Observation dd82964d-81aa-45ab-ad98-b7f8d2608358 · outbound

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

DAVID-XR1: Detecting AI-Generated Videos with Explainable Reasoning CogVideo: Large-scale Pretraining for Text-to-Video Generation via Transformers

Reference 21

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source=pdf_text observed=2026-08-07T04:08:54.362478Z digest=sha256:5b9ba8af7db5f382c02a5febfa6ca19cb4a75644780fd05168865c6c85df41d9

Observation c214252f-34bd-414c-844a-332917d58690 · outbound

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

DAVID-XR1: Detecting AI-Generated Videos with Explainable Reasoning Vbench: Comprehensive benchmark suite for video generative models

Reference 22

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source=pdf_text observed=2026-08-07T04:08:54.476016Z digest=sha256:e8498fa5866252faa08549c2e360b755a445bee48ddeb053c035c17463117170

Observation 8fa21749-337b-4586-9a82-097431baa851 · outbound

This paper cites GPT-4o System Card.

DAVID-XR1: Detecting AI-Generated Videos with Explainable Reasoning GPT-4o System Card

Reference 23

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source=pdf_text observed=2026-08-07T04:08:54.569037Z digest=sha256:368c7cbc6076c1a427e0c5ac9f105ed3a99bff5bea11b65a849690b87ceb90fa

Observation 2e794376-f52f-426e-8826-c64687dd892c · outbound

This paper cites OpenAI o1 System Card.

DAVID-XR1: Detecting AI-Generated Videos with Explainable Reasoning OpenAI o1 System Card

Reference 24

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source=pdf_text observed=2026-08-07T04:08:54.709679Z digest=sha256:6153938b9f7e587cb77901ca0de75edb5f07940b00ac5ef65546ae80d12f8f32

Observation 73b3f3ae-957b-4cdf-bbb5-9317730d5c82 · outbound

This paper cites Text-to-Video, 2025.

DAVID-XR1: Detecting AI-Generated Videos with Explainable Reasoning Text-to-Video, 2025

Reference 25

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T04:08:54.855380Z digest=sha256:028c44f93c61516121b4833649771ac9e3fb98779e55c6f6591aa13465fbe0ed

Observation adfaf8cd-57cf-4a9a-9600-bd94287aca99 · outbound

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

DAVID-XR1: Detecting AI-Generated Videos with Explainable Reasoning HunyuanVideo: A Systematic Framework For Large Video Generative Models

Reference 26

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source=pdf_text observed=2026-08-07T04:08:54.954878Z digest=sha256:f9fa1a77892e8ba9a8098dc40ef921c2a9b64d10423ebb10cea2d8a48e8a0ea3

Observation 2adf53ab-6d10-41c8-89dc-e4d3315a52f4 · outbound

This paper cites Towards a Universal Synthetic Video Detector: From Face or Background Manipulations to Fully AI-Generated Content.

DAVID-XR1: Detecting AI-Generated Videos with Explainable Reasoning Towards a Universal Synthetic Video Detector: From Face or Background Manipulations to Fully AI-Generated Content

Reference 27

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source=pdf_text observed=2026-08-07T04:08:55.050670Z digest=sha256:577a0d8c561f6c27d5aa5a695721d824ffc4fc26c7f672ada1dbf74be22a6f18

Observation facaaf5c-739b-4710-818d-fcc93c80230c · outbound

This paper cites LLaVA-OneVision: Easy Visual Task Transfer.

DAVID-XR1: Detecting AI-Generated Videos with Explainable Reasoning LLaVA-OneVision: Easy Visual Task Transfer

Reference 28

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source=pdf_text observed=2026-08-07T04:08:55.153918Z digest=sha256:a47cd55cfc0700af37e59b6e785c9bbb0190b720b50d2fcd2e5bb9e0f6aaa9b6

Observation f3670824-fbd6-4b33-aebb-d455bd17afef · outbound

This paper cites Open-Sora Plan: Open-Source Large Video Generation Model.

DAVID-XR1: Detecting AI-Generated Videos with Explainable Reasoning Open-Sora Plan: Open-Source Large Video Generation Model

Reference 29

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source=pdf_text observed=2026-08-07T04:08:55.275178Z digest=sha256:1a43e20e77fddc760e2307c43718d27a4277b336ed8db0688e9cc94579cc1dcc

Observation 41464284-c887-4139-8f5a-7c73e2dcc326 · outbound

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

DAVID-XR1: Detecting AI-Generated Videos with Explainable Reasoning Turns Out I'm Not Real: Towards Robust Detection of AI-Generated Videos

Reference 30

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source=pdf_text observed=2026-08-07T04:08:55.833475Z digest=sha256:886882e0a71010a275d4a04eb770ab7527be65440c4b642d4b43815f444a33b5

Observation 6c95132b-fe28-43f8-962d-b029ed609aa1 · outbound

This paper cites Fetv: A benchmark for fine-grained evaluation of open-domain text-to-video generation.

DAVID-XR1: Detecting AI-Generated Videos with Explainable Reasoning Fetv: A benchmark for fine-grained evaluation of open-domain text-to-video generation

Reference 31

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source=pdf_text observed=2026-08-07T04:08:57.367463Z digest=sha256:89032e2f74ffaf58d05102c31a92f8fbc6c3003bcb0a860574e7f370e3d4ab92

Observation 0bf62997-1a2a-4433-abba-21cf3ac35aa9 · outbound

This paper cites Detect- ing ai-generated video via frame consistency, 2025.

DAVID-XR1: Detecting AI-Generated Videos with Explainable Reasoning Detect- ing ai-generated video via frame consistency, 2025

Reference 32

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T04:08:58.043056Z digest=sha256:7c30c932ebc028ffe0c52a09faa0e4630354f3688962555f9aa2d092cafa8277

Observation bec04e49-3b56-4190-9211-ebebb510c8c7 · outbound

This paper cites UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction.

DAVID-XR1: Detecting AI-Generated Videos with Explainable Reasoning UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction

Reference 33

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source=pdf_text observed=2026-08-07T04:08:58.139541Z digest=sha256:8bfa02ba253075f90503d7a5375cfb88a010e35f5bd0b1bf11cfc2189a8de148

Observation 28842421-f9a4-4261-80eb-83ebf9a0a4a2 · outbound

This paper cites Compositional chain-of- thought prompting for large multimodal models.

DAVID-XR1: Detecting AI-Generated Videos with Explainable Reasoning Compositional chain-of- thought prompting for large multimodal models

Reference 34

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source=pdf_text observed=2026-08-07T04:08:58.208990Z digest=sha256:819dfaa716287369c1b10ab01e80d54fb6b06de31e3c07ca88e39d2bfe0241dd

Observation ae354ca9-ef30-4898-8fc0-7287f9880191 · outbound

This paper cites Sora.https://openai.com/sora/, 2024.

DAVID-XR1: Detecting AI-Generated Videos with Explainable Reasoning Sora.https://openai.com/sora/, 2024

Reference 35

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source=pdf_text observed=2026-08-07T04:08:58.371493Z digest=sha256:663fb98b2112100f8858e06820dfa688f564cc2f240b04cebcf90f40e4895664

Observation d24e6489-58a5-416c-a2a0-37598a79023b · outbound

This paper cites Gpt-o3.https://openai.com/index/introducing-o3-and-o4-mini/, 2025.

DAVID-XR1: Detecting AI-Generated Videos with Explainable Reasoning Gpt-o3.https://openai.com/index/introducing-o3-and-o4-mini/, 2025

Reference 36

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T04:08:58.474438Z digest=sha256:8b26fc6e9edc79a2bfee5c667bf6ed5af9dd1d9b8e01fb7364ec0288dba70338

Observation 5169686c-5e8f-4885-b22f-d5b0e63c5164 · outbound

This paper cites Piks.https://pika.art/about, 2024.

DAVID-XR1: Detecting AI-Generated Videos with Explainable Reasoning Piks.https://pika.art/about, 2024

Reference 37

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T04:08:58.610623Z digest=sha256:c5ee9afb9669c1aa76304c03c2123d8ec0de93aed9029b8b8f047cd49f50abf7

Observation f1e5a781-73f2-45bc-83d3-68c748d1f026 · outbound

This paper cites Pixverse v3.https://app.pixverse.ai/onboard, 2024.

DAVID-XR1: Detecting AI-Generated Videos with Explainable Reasoning Pixverse v3.https://app.pixverse.ai/onboard, 2024

Reference 38

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raw_fallback, observed 2026-08-07T04:09:04.042669Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T04:08:58.704658Z digest=sha256:8ef423ebfda454c10017e9778856bf8f1623fc0611103d52e089e1cd8b3346e7

Observation aa10d28f-7e76-400b-b03a-8d7c79cb1a71 · outbound

This paper cites SAM 2: Segment Anything in Images and Videos.

DAVID-XR1: Detecting AI-Generated Videos with Explainable Reasoning SAM 2: Segment Anything in Images and Videos

Reference 39

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source=pdf_text observed=2026-08-07T04:08:58.855603Z digest=sha256:28afc91fa14af1865749e9cd66042043615ed3e20558c6a2a4b0b400744fefa5

Observation c4644731-b6a3-4236-b104-1bbc99e12a71 · outbound

This paper cites Gen-3 alpha.

DAVID-XR1: Detecting AI-Generated Videos with Explainable Reasoning Gen-3 alpha

Reference 40

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raw_fallback, observed 2026-08-07T04:09:03.776907Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T04:08:58.977187Z digest=sha256:71a12608c6b9c38fae11f9f694ce309d5a3900f76eb6ba03c142c6fb11141c5c

Observation dc4bc105-a626-41fb-b8df-a8d1b09ea851 · outbound

This paper cites Magi-1: Autoregressive video generation at scale, 2025.

DAVID-XR1: Detecting AI-Generated Videos with Explainable Reasoning Magi-1: Autoregressive video generation at scale, 2025

Reference 41

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T04:08:59.070651Z digest=sha256:9f07e5c30f9d75d890beb6f8a477997ade91ac61a2887d614710894843a80624

Observation 1f448045-e13b-4566-8729-9bd822678244 · outbound

This paper cites an unresolved cited work.

DAVID-XR1: Detecting AI-Generated Videos with Explainable Reasoning Unresolved cited work

Reference 42

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source=pdf_text observed=2026-08-07T04:08:59.218215Z digest=sha256:e9861545e779bb655a4edce03ab26d38042173beacaf4b9d29236984e888393a

Observation 29a7a208-cd41-488e-93bd-fe1c45fe64a4 · outbound

This paper cites Gemini: A Family of Highly Capable Multimodal Models.

DAVID-XR1: Detecting AI-Generated Videos with Explainable Reasoning Gemini: A Family of Highly Capable Multimodal Models

Reference 43

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source=pdf_text observed=2026-08-07T04:08:59.347220Z digest=sha256:94bba39d007191dcbb6f57cfe09e0b4e5595cfe2aadfb7459f5a49301f20d712

Observation 1f9b3c0f-cd78-4b9f-b093-2fd6b19919e3 · outbound

This paper cites Beyond deepfake images: Detecting ai-generated videos.

DAVID-XR1: Detecting AI-Generated Videos with Explainable Reasoning Beyond deepfake images: Detecting ai-generated videos

Reference 44

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raw_fallback, observed 2026-08-07T04:09:03.567156Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T04:08:59.471502Z digest=sha256:5b3d43e6cbe525914c982557018984d959b504b534673656ca9c9a7fd1740f2d

Observation 6ec1426f-be77-456d-810b-eb3af83dc50f · outbound

This paper cites an unresolved cited work.

DAVID-XR1: Detecting AI-Generated Videos with Explainable Reasoning Unresolved cited work

Reference 45

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raw_fallback, observed 2026-08-07T04:09:03.285795Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T04:08:59.605896Z digest=sha256:386b95be38112f5902a64f35bfc5c06a60a3295fef5b1c50eab83c8f5d87bdbb

Observation 6a01294b-22bf-4278-a6d9-2ed067858a9c · outbound

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

DAVID-XR1: Detecting AI-Generated Videos with Explainable Reasoning ModelScope Text-to-Video Technical Report

Reference 46

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source=pdf_text observed=2026-08-07T04:08:59.759408Z digest=sha256:94121e201d51d0c49a1236c4f7ef357c135e5919a9faa1ea5f2c7247677694f6

Observation ecc1a67b-4cf0-474f-b0ff-5b9c2694ccb6 · outbound

This paper cites VidProM: A Million-scale Real Prompt-Gallery Dataset for Text-to-Video Diffusion Models.

DAVID-XR1: Detecting AI-Generated Videos with Explainable Reasoning VidProM: A Million-scale Real Prompt-Gallery Dataset for Text-to-Video Diffusion Models

Reference 47

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T04:08:59.919247Z digest=sha256:8b1ca0ad197526b801c6f3b66723592e140d947d1086dfb482dba302adc524de

Observation e1e285bf-0f7d-4fd1-954c-c3113185a59b · outbound

This paper cites VideoCoT: A Video Chain-of-Thought Dataset with Active Annotation Tool.

DAVID-XR1: Detecting AI-Generated Videos with Explainable Reasoning VideoCoT: A Video Chain-of-Thought Dataset with Active Annotation Tool

Reference 48

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source=pdf_text observed=2026-08-07T04:09:00.022393Z digest=sha256:b112ade73e3bc091c3886211b64cbc97744b2d501964da9a6a6bf0e8862644f0

Observation 3c424218-dd38-4a0f-ba57-c7367921151f · outbound

This paper cites Internvideo2: Scaling foundation models for multimodal video understanding.

DAVID-XR1: Detecting AI-Generated Videos with Explainable Reasoning Internvideo2: Scaling foundation models for multimodal video understanding

Reference 49

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T04:09:00.126268Z digest=sha256:a138aed09f5b287590eaf49c18a407b9e2a6338edb936bbe335825093d530b0b

Observation 34461636-4a2a-4182-adde-d5c760accc8f · outbound

This paper cites V?: Guided visual search as a core mechanism in multimodal llms.

DAVID-XR1: Detecting AI-Generated Videos with Explainable Reasoning V?: Guided visual search as a core mechanism in multimodal llms

Reference 50

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source=pdf_text observed=2026-08-07T04:09:00.251251Z digest=sha256:c6180334f7e83938bef411a4381bed85db65f2345306cce0f66110b42c48efe8

Observation a2caf74b-d8a6-43da-894a-6d4a97a04b8b · outbound

This paper cites VideoCLIP: Contrastive Pre-training for Zero-shot Video-Text Understanding.

DAVID-XR1: Detecting AI-Generated Videos with Explainable Reasoning VideoCLIP: Contrastive Pre-training for Zero-shot Video-Text Understanding

Reference 51

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source=pdf_text observed=2026-08-07T04:09:00.365272Z digest=sha256:7656449604c4ee59af49c12a4a805fd2404c328064f9ee967a8d68a1f8bfe678

Observation 380c3a47-c587-48f6-83de-5fa13b3f9ab5 · outbound

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

DAVID-XR1: Detecting AI-Generated Videos with Explainable Reasoning CogVideoX: Text-to-Video Diffusion Models with An Expert Transformer

Reference 52

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source=pdf_text observed=2026-08-07T04:09:00.476413Z digest=sha256:2f936fc04d4907015d238a90c9c8bb367f9859bb75bb468015b7038546091ebf

Observation f461d907-8c0b-4b71-87b2-f278f3d2b97a · outbound

This paper cites MiniCPM-V: A GPT-4V Level MLLM on Your Phone.

DAVID-XR1: Detecting AI-Generated Videos with Explainable Reasoning MiniCPM-V: A GPT-4V Level MLLM on Your Phone

Reference 53

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source=pdf_text observed=2026-08-07T04:09:00.960163Z digest=sha256:cf9080664b9c6bd8f251b62060c786276748addc7924a53b75dd61d50ef5baf6

Observation 0624d274-bbfa-4a46-a80d-8f23e3cd5af0 · outbound

This paper cites Does Reinforcement Learning Really Incentivize Reasoning Capacity in LLMs Beyond the Base Model?.

DAVID-XR1: Detecting AI-Generated Videos with Explainable Reasoning Does Reinforcement Learning Really Incentivize Reasoning Capacity in LLMs Beyond the Base Model?

Reference 54

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source=pdf_text observed=2026-08-07T04:09:01.410744Z digest=sha256:70a37d8d0c530af39ddf0ad6033036fd676ec3bda9f1590dadfb45b4c916969b

Observation f19680ba-b17a-4b12-b348-914e0a4cf5c5 · outbound

This paper cites Packing input frame contexts in next-frame prediction models for video generation.Arxiv, 2025.

DAVID-XR1: Detecting AI-Generated Videos with Explainable Reasoning Packing input frame contexts in next-frame prediction models for video generation.Arxiv, 2025

Reference 55

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raw_fallback, observed 2026-08-07T04:09:03.059704Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T04:09:01.564363Z digest=sha256:bdb99a7eea9bfeadb4769b709195d9cc53383688e9e737a6eba4074301cab066

Observation 2bd184a4-8301-4e42-8249-9d7208cd4827 · outbound

This paper cites Llava-next: A strong zero-shot video understanding model.

DAVID-XR1: Detecting AI-Generated Videos with Explainable Reasoning Llava-next: A strong zero-shot video understanding model

Reference 56

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source=pdf_text observed=2026-08-07T04:09:01.680453Z digest=sha256:f8f465f7235bf724df0ab8b702b1c57722902193e632010986df0bcb19dfe769

Observation 3dcc9428-0220-4ea6-a573-9c642f348207 · outbound

This paper cites Multimodal Chain-of-Thought Reasoning in Language Models.

DAVID-XR1: Detecting AI-Generated Videos with Explainable Reasoning Multimodal Chain-of-Thought Reasoning in Language Models

Reference 57

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no resolver link, observed 2026-08-07T04:09:01.775920Z

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source=pdf_text observed=2026-08-07T04:09:01.775920Z digest=sha256:34c88fe96db5a0d524785b1be42f0129cbe198e9adf168137630c4e3438c4dc0

Observation f5bfc86a-5fcb-4672-b263-ca5265726434 · outbound

This paper cites Llamafactory: Unified efficient fine-tuning of 100+ language models.

DAVID-XR1: Detecting AI-Generated Videos with Explainable Reasoning Llamafactory: Unified efficient fine-tuning of 100+ language models

Reference 58

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raw_fallback, observed 2026-08-07T04:09:02.824838Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T04:09:01.925633Z digest=sha256:3e2b7f10733bd9610221523abccd6402fc7f467d70a6f94b7b9c29cffad8fd84

Observation f637d86f-c574-48e5-a35d-32a35df18768 · outbound

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

DAVID-XR1: Detecting AI-Generated Videos with Explainable Reasoning Open-Sora: Democratizing Efficient Video Production for All

Reference 59

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source=pdf_text observed=2026-08-07T04:09:02.059731Z digest=sha256:8fcbfbe69e1aaaf0639e639f62dbbdb6d265216c8cad8fda3fed8649338ba4f8

Pith citing papers

Observation f3aa9dcb-61fb-41b8-ab42-a3deaddfc882 · inbound

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

Skyra: AI-Generated Video Detection via Grounded Artifact Reasoning DAVID-XR1: Detecting AI-Generated Videos with Explainable Reasoning

Reference 15

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arxiv_id, observed 2026-05-21T16:44:15.949758Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-21T16:43:11.995960Z digest=sha256:88f68afaf0957aa128404c69f11e0df48b46f5ecbab37868f456927f24eb813e

Observation c3566dca-adf5-447b-a387-2864309192a9 · inbound

Explainable Forensics of Manipulated Segments in Untrimmed Long Videos cites this paper.

Explainable Forensics of Manipulated Segments in Untrimmed Long Videos DAVID-XR1: Detecting AI-Generated Videos with Explainable Reasoning

Reference 8

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arxiv_id, observed 2026-07-01T22:56:20.983309Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-06-28T14:49:11.015838Z digest=sha256:c36676286aadb1d0a56a2650b5c3d26d061565a4e5494d25a17362e64af9f4cf

Observation d21de306-dbfd-425c-af6b-6c3598f2b39b · inbound

SafeGuard: A Multi-Agent Perception-Reasoning Framework for Social-Risk AI-Generated Video Detection cites this paper.

SafeGuard: A Multi-Agent Perception-Reasoning Framework for Social-Risk AI-Generated Video Detection DAVID-XR1: Detecting AI-Generated Videos with Explainable Reasoning

Reference 14

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source=pdf_text observed=2026-07-12T05:07:18.364787Z digest=sha256:2b7b9c7a4302158f127dc916cb48ee9c24dff85a97dab3eab9373c0fe813521b

Observation 53c093f2-cf2e-41bc-b252-59e49efdba0b · inbound

Detecting AI-Generated Video: A Vision-Language Dual-View Survey cites this paper.

Detecting AI-Generated Video: A Vision-Language Dual-View Survey DAVID-XR1: Detecting AI-Generated Videos with Explainable Reasoning

Reference 168

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source=arxiv_source observed=2026-07-14T09:16:37.881212Z digest=sha256:8b68b8247cb377f7c0ae34af25bbc977e9f5ba59d94f51be138a6cdf66441965

Observation ee0ba5a9-26c8-4588-9962-0b34e8c41920 · inbound

VidForensics-M1: Meta-Detection Reinforcement Learning with Verifiable Temporal Grounding for AI-Generated Video Forensics cites this paper.

VidForensics-M1: Meta-Detection Reinforcement Learning with Verifiable Temporal Grounding for AI-Generated Video Forensics DAVID-XR1: Detecting AI-Generated Videos with Explainable Reasoning

Reference 10

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no resolver link, observed 2026-08-15T14:18:12.929450Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T14:18:12.929450Z digest=sha256:4286c96b168559521c4529e3f512a1678f67cfc1f00d91a1d5d1eb7d43217f64