Paper Citation Record · LEDGER

GenWorld: Towards Detecting AI-generated Real-world Simulation Videos

As of 8 August 2026, this Paper Citation Record lists 48 of 48 outbound references and 6 inbound Pith citation observations for arXiv:2506.10975.

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

pith.paper-citation-record.v1
2506.10975 v1

Coverage vector

measured 48 of 48 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T04:17:42.172650Z

measured 54 of 54 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T00:24:37.596688Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T22:56:20.995621Z

Reference resolution

48 of 48 outbound references displayed

verified exact0
verified fuzzy20
unresolved28
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a44c70fe-cd75-438e-a387-3856a4d3e1bf · outbound

This paper cites 3, 4, 5, 7, 8.

GenWorld: Towards Detecting AI-generated Real-world Simulation Videos 3, 4, 5, 7, 8

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:17:42.999371Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation af912b8c-c277-4bba-8716-c5e84ead5243 · outbound

This paper cites 2, 3, 4, 5.

GenWorld: Towards Detecting AI-generated Real-world Simulation Videos 2, 3, 4, 5

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:17:42.983301Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 2c9d0627-ec58-446f-bd33-3bbd218ec092 · outbound

This paper cites Cosmos World Foundation Model Platform for Physical AI.

GenWorld: Towards Detecting AI-generated Real-world Simulation Videos Cosmos World Foundation Model Platform for Physical AI

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-07T04:17:41.910019Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 10e312bb-70ff-41e9-809a-9de0576a4a7e · outbound

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

GenWorld: Towards Detecting AI-generated Real-world Simulation Videos Ai-generated video detection via spatial-temporal anomaly learning

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:17:42.967482Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation d481a0af-1860-47b6-96e3-822e819ad5e6 · outbound

This paper cites Navigation World Models.

GenWorld: Towards Detecting AI-generated Real-world Simulation Videos Navigation World Models

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-07T04:17:41.920370Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1ee3ef62-76de-477e-9a32-ca161555c739 · outbound

This paper cites Identify- ing and mitigating the security risks of generative ai.Founda- tions and Trends® in Privacy and Security, 6(1):1–52, 2023.

GenWorld: Towards Detecting AI-generated Real-world Simulation Videos Identify- ing and mitigating the security risks of generative ai.Founda- tions and Trends® in Privacy and Security, 6(1):1–52, 2023

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:17:42.952008Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 3df54776-3cd6-4bcc-93ef-5d0ced48702b · outbound

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

GenWorld: Towards Detecting AI-generated Real-world Simulation Videos Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T04:17:41.931310Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2ba9fb8c-16b6-48c3-8e13-0f0d9554b8ad · outbound

This paper cites RT-1: Robotics Transformer for Real-World Control at Scale.

GenWorld: Towards Detecting AI-generated Real-world Simulation Videos RT-1: Robotics Transformer for Real-World Control at Scale

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-07T04:17:41.936454Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 62f22291-57e7-490c-a756-68b1734f4cc0 · outbound

This paper cites Video generation models as world simulators.

GenWorld: Towards Detecting AI-generated Real-world Simulation Videos Video generation models as world simulators

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T04:17:41.952416Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8a10be31-4f04-4640-9004-7309a2995cdd · outbound

This paper cites nuscenes: A multi- modal dataset for autonomous driving.

GenWorld: Towards Detecting AI-generated Real-world Simulation Videos nuscenes: A multi- modal dataset for autonomous driving

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:17:42.925639Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 0d4a039f-c3bf-4d1a-8cd5-f0f881efa6c5 · outbound

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

GenWorld: Towards Detecting AI-generated Real-world Simulation Videos DeMamba: AI-Generated Video Detection on Million-Scale GenVideo Benchmark

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T04:17:41.961742Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5097c0bc-7d99-47ec-9c4f-7c63f369dd8f · outbound

This paper cites VideoCrafter2: Overcoming Data Limitations for High-Quality Video Diffusion Models.

GenWorld: Towards Detecting AI-generated Real-world Simulation Videos VideoCrafter2: Overcoming Data Limitations for High-Quality Video Diffusion Models

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T04:17:41.966289Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0b3dbac5-9c9f-470f-a398-59d49d187ef6 · outbound

This paper cites DreamCinema: Cinematic Transfer with Free Camera and 3D Character.

GenWorld: Towards Detecting AI-generated Real-world Simulation Videos DreamCinema: Cinematic Transfer with Free Camera and 3D Character

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T04:17:41.970577Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cfc041b9-0df3-4b4d-8074-20e92a39259f · outbound

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

GenWorld: Towards Detecting AI-generated Real-world Simulation Videos Seine: Short-to-long video diffu- sion model for generative transition and prediction

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:17:42.910386Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 91ec8817-e423-4b7a-ab9f-9416e76d952a · outbound

This paper cites The DeepFake Detection Challenge (DFDC) Dataset.

GenWorld: Towards Detecting AI-generated Real-world Simulation Videos The DeepFake Detection Challenge (DFDC) Dataset

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T04:17:41.979281Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d747dd56-e24b-47ca-9c7b-1a1d22eaaa1b · outbound

This paper cites Privacy and security concerns in generative ai: a compre- hensive survey.IEEE Access, 2024.

GenWorld: Towards Detecting AI-generated Real-world Simulation Videos Privacy and security concerns in generative ai: a compre- hensive survey.IEEE Access, 2024

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:17:42.896034Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 9997377b-ab32-4595-9160-b6570e6a899e · outbound

This paper cites Generative adversarial networks.Commu- nications of the ACM, 63(11):139–144, 2020.

GenWorld: Towards Detecting AI-generated Real-world Simulation Videos Generative adversarial networks.Commu- nications of the ACM, 63(11):139–144, 2020

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T04:17:41.988756Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 217f1321-4ff4-4ec4-be5d-8d77b4c0bf37 · outbound

This paper cites Deepfakes dataset by google, jigsaw.

GenWorld: Towards Detecting AI-generated Real-world Simulation Videos Deepfakes dataset by google, jigsaw

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:17:42.869445Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation db01c34a-12a8-44f0-844f-bfc397391bd9 · outbound

This paper cites Spatiotemporal incon- sistency learning for deepfake video detection.

GenWorld: Towards Detecting AI-generated Real-world Simulation Videos Spatiotemporal incon- sistency learning for deepfake video detection

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:17:42.854337Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 44801751-866d-4097-9e69-eaecbbed4cce · outbound

This paper cites Spatiotemporal incon- sistency learning for deepfake video detection.

GenWorld: Towards Detecting AI-generated Real-world Simulation Videos Spatiotemporal incon- sistency learning for deepfake video detection

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:17:42.839584Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 1c24380e-f19c-4707-aba8-4461d7118b4c · outbound

This paper cites Hierarchical contrastive inconsistency learn- ing for deepfake video detection.

GenWorld: Towards Detecting AI-generated Real-world Simulation Videos Hierarchical contrastive inconsistency learn- ing for deepfake video detection

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:17:42.824234Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation b23269a5-4af1-4ae6-8573-baa15c052b7f · outbound

This paper cites Denoising dif- fusion probabilistic models.Advances in neural information processing systems, 33:6840–6851, 2020.

GenWorld: Towards Detecting AI-generated Real-world Simulation Videos Denoising dif- fusion probabilistic models.Advances in neural information processing systems, 33:6840–6851, 2020

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-07T04:17:42.021838Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 53019d95-1830-4046-b19c-4a902945d0c1 · outbound

This paper cites Owl-1: Omni World Model for Consistent Long Video Generation.

GenWorld: Towards Detecting AI-generated Real-world Simulation Videos Owl-1: Omni World Model for Consistent Long Video Generation

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-07T04:17:42.031219Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 122c220e-aad1-48f4-a7f8-2fc25d4ee31c · outbound

This paper cites The Kinetics Human Action Video Dataset.

GenWorld: Towards Detecting AI-generated Real-world Simulation Videos The Kinetics Human Action Video Dataset

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-07T04:17:42.037816Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a5b3a430-9ee5-4288-ab6a-3b5e0840037e · outbound

This paper cites Auto-encoding vari- ational bayes, 2013.

GenWorld: Towards Detecting AI-generated Real-world Simulation Videos Auto-encoding vari- ational bayes, 2013

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-07T04:17:42.043458Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4032dc96-b41c-4a69-9ba5-b00996e25629 · outbound

This paper cites Video-llava: Learning united visual repre- sentation by alignment before projection.

GenWorld: Towards Detecting AI-generated Real-world Simulation Videos Video-llava: Learning united visual repre- sentation by alignment before projection

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:17:42.787900Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation d67da6ac-d673-44d5-a55a-d8da28f118c6 · outbound

This paper cites Dl3dv-10k: A large-scale scene dataset for deep learning-based 3d vision.

GenWorld: Towards Detecting AI-generated Real-world Simulation Videos Dl3dv-10k: A large-scale scene dataset for deep learning-based 3d vision

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:17:42.771490Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation c03281c1-59d6-43c8-a99b-3a69d58794ea · outbound

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

GenWorld: Towards Detecting AI-generated Real-world Simulation Videos Detecting AI-Generated Video via Frame Consistency

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-07T04:17:42.062209Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 73fbee0a-7979-4c92-bfb9-96f554444ee0 · outbound

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

GenWorld: Towards Detecting AI-generated Real-world Simulation Videos Latte: Latent Diffusion Transformer for Video Generation

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-07T04:17:42.067469Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4625ccb8-675b-4558-9dab-15909e3d01a1 · outbound

This paper cites Impacts and Risk of Generative AI Technology on Cyber Defense.

GenWorld: Towards Detecting AI-generated Real-world Simulation Videos Impacts and Risk of Generative AI Technology on Cyber Defense

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-07T04:17:42.072673Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e1922ebf-3207-4bf0-99a8-f1795e9e459b · outbound

This paper cites Genvidbench: A challenging benchmark for detecting ai-generated video.arXiv preprint arXiv:2501.11340, 2025.

GenWorld: Towards Detecting AI-generated Real-world Simulation Videos Genvidbench: A challenging benchmark for detecting ai-generated video.arXiv preprint arXiv:2501.11340, 2025

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-07T04:17:42.078667Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 82804305-49ea-472e-9a33-fab8442661da · outbound

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

GenWorld: Towards Detecting AI-generated Real-world Simulation Videos Thinking in frequency: Face forgery detection by min- ing frequency-aware clues

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:17:42.756926Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation d4e2c8ac-6257-489d-8dc8-07597a933afc · outbound

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

GenWorld: Towards Detecting AI-generated Real-world Simulation Videos High-resolution image synthesis with latent diffusion models

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-07T04:17:42.087735Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9d631f4f-c043-4f43-80f6-6bb59f0910c9 · outbound

This paper cites Faceforen- sics++: Learning to detect manipulated facial images.

GenWorld: Towards Detecting AI-generated Real-world Simulation Videos Faceforen- sics++: Learning to detect manipulated facial images

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-07T04:17:42.092741Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1cbb889d-4093-44cc-852d-436d577bdc1d · outbound

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

GenWorld: Towards Detecting AI-generated Real-world Simulation Videos Rethinking the up-sampling operations in cnn-based generative network for generalizable deepfake detection

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:17:42.721986Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation f394ef41-17e8-4996-82c1-4028c6da88cc · outbound

This paper cites VideoMAE: Masked autoencoders are data-efficient learners for self-supervised video pre-training.

GenWorld: Towards Detecting AI-generated Real-world Simulation Videos VideoMAE: Masked autoencoders are data-efficient learners for self-supervised video pre-training

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:17:42.706530Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 94294cc9-23b7-4eca-bf2e-5247c73cf7e5 · outbound

This paper cites 3D Reconstruction with Spatial Memory.

GenWorld: Towards Detecting AI-generated Real-world Simulation Videos 3D Reconstruction with Spatial Memory

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-07T04:17:42.107078Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 273664e0-8e9f-4f43-8590-e30863d2d4aa · outbound

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

GenWorld: Towards Detecting AI-generated Real-world Simulation Videos ModelScope Text-to-Video Technical Report

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-07T04:17:42.111825Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 04f6b387-d6e3-4898-84fc-f8916006a24b · outbound

This paper cites Dust3r: Geometric 3d vi- sion made easy.

GenWorld: Towards Detecting AI-generated Real-world Simulation Videos Dust3r: Geometric 3d vi- sion made easy

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:17:42.691149Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 863bd697-50f0-425d-8161-a85089500c3e · outbound

This paper cites Drivedreamer: Towards real-world- drive world models for autonomous driving.

GenWorld: Towards Detecting AI-generated Real-world Simulation Videos Drivedreamer: Towards real-world- drive world models for autonomous driving

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-07T04:17:42.123128Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7ccd6b54-0578-4dde-93d6-f14f6a7ced4b · outbound

This paper cites LAVIE: High-Quality Video Generation with Cascaded Latent Diffusion Models.

GenWorld: Towards Detecting AI-generated Real-world Simulation Videos LAVIE: High-Quality Video Generation with Cascaded Latent Diffusion Models

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-07T04:17:42.131292Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e454a20b-8fe6-47c8-a76a-d85ca0b1a36d · outbound

This paper cites The emergence of deepfake technology: A review.Technology innovation management review, 9(11),.

GenWorld: Towards Detecting AI-generated Real-world Simulation Videos The emergence of deepfake technology: A review.Technology innovation management review, 9(11),

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:17:42.665807Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 60273e96-5b3e-4da7-828d-9f31b51ea010 · outbound

This paper cites Pandora: Towards General World Model with Natural Language Actions and Video States.

GenWorld: Towards Detecting AI-generated Real-world Simulation Videos Pandora: Towards General World Model with Natural Language Actions and Video States

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-07T04:17:42.142859Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d0ab5bab-b1fb-4047-a5fc-4dc9203236eb · outbound

This paper cites Tall: Thumbnail layout for deepfake video detection.

GenWorld: Towards Detecting AI-generated Real-world Simulation Videos Tall: Thumbnail layout for deepfake video detection

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:17:42.651329Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 87ad5ba1-6221-4ab1-8f9a-5d6080d98a66 · outbound

This paper cites A survey on deepfake video detection.Iet Biometrics, 10(6): 607–624, 2021.

GenWorld: Towards Detecting AI-generated Real-world Simulation Videos A survey on deepfake video detection.Iet Biometrics, 10(6): 607–624, 2021

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:17:42.635356Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 1c6ad25f-1b79-48d4-b56d-c4363dd37cbb · outbound

This paper cites Adding conditional control to text-to-image diffusion models.

GenWorld: Towards Detecting AI-generated Real-world Simulation Videos Adding conditional control to text-to-image diffusion models

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-07T04:17:42.162606Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 11531cb5-7d6e-48f9-9fa2-b2952922cd55 · outbound

This paper cites Occworld: Learning a 3d occupancy world model for autonomous driving.

GenWorld: Towards Detecting AI-generated Real-world Simulation Videos Occworld: Learning a 3d occupancy world model for autonomous driving

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-07T04:17:42.167306Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 77d1fd57-4292-4a96-9e7f-bda07b876d1c · outbound

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

GenWorld: Towards Detecting AI-generated Real-world Simulation Videos Open-Sora: Democratizing Efficient Video Production for All

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-07T04:17:42.172650Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 6b415433-1011-4cb0-91c8-4ba9b555151f · inbound

MVAD: A Benchmark Dataset for Multimodal AI-Generated Video-Audio Detection cites this paper.

MVAD: A Benchmark Dataset for Multimodal AI-Generated Video-Audio Detection GenWorld: Towards Detecting AI-generated Real-world Simulation Videos

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-05-17T03:48:58.508275Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation b28ff347-5946-4733-b747-f05c853661ae · inbound

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

Skyra: AI-Generated Video Detection via Grounded Artifact Reasoning GenWorld: Towards Detecting AI-generated Real-world Simulation Videos

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-21T16:44:15.970706Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation c5df0bd5-2b94-431c-95f4-fdb402dd6a8e · inbound

Measuring 3D Spatial Geometric Consistency in Dynamic Video Generation cites this paper.

Measuring 3D Spatial Geometric Consistency in Dynamic Video Generation GenWorld: Towards Detecting AI-generated Real-world Simulation Videos

Reference 15

Resolution: unresolved; no resolver link, observed 2026-07-13T22:13:53.383917Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5b7cbd48-deee-45a1-b3c2-769c29c9a0a9 · inbound

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

Explainable Forensics of Manipulated Segments in Untrimmed Long Videos GenWorld: Towards Detecting AI-generated Real-world Simulation Videos

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-07-01T22:56:20.997983Z

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Observation a88d2e43-dde9-412b-a84a-9ec738e7f5f6 · 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 GenWorld: Towards Detecting AI-generated Real-world Simulation Videos

Reference 7

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Observation abe96b28-009f-467f-ab4f-34e0ff48eaef · inbound

SphereVideo: Prototype-anchored Hyperspherical Boundary for Continual AI-generated Video Detection cites this paper.

SphereVideo: Prototype-anchored Hyperspherical Boundary for Continual AI-generated Video Detection GenWorld: Towards Detecting AI-generated Real-world Simulation Videos

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-06T00:24:37.596688Z

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