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Paper Citation Record · LEDGER

Generative Action Tell-Tales: Assessing Human Motion in Synthesized Videos

As of 9 August 2026, this Paper Citation Record lists 75 of 75 outbound references and 0 inbound Pith citation observations for arXiv:2512.01803.

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

pith.paper-citation-record.v1
2512.01803 v3

Coverage vector

measured 75 of 75 reference resolution

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Source: paper_references, paper_reference_links, observed 2026-08-03T19:11:53.734059Z

measured 75 of 75 standing notices

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75 of 75 outbound references displayed

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Outbound references

Observation 1e46809d-9a70-4797-8241-4deec7e0a2f4 · outbound

This paper cites GPT-4 Technical Report.

Generative Action Tell-Tales: Assessing Human Motion in Synthesized Videos GPT-4 Technical Report

Reference 1

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Observation cec854e2-bc4f-4449-ab7d-2197fe791e67 · outbound

This paper cites Kuhl, and Andrew N.

Generative Action Tell-Tales: Assessing Human Motion in Synthesized Videos Kuhl, and Andrew N

Reference 2

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Observation 59607d16-5b2f-462f-918f-99517183df23 · outbound

This paper cites Direct Motion Models for Assessing Generated Videos.

Generative Action Tell-Tales: Assessing Human Motion in Synthesized Videos Direct Motion Models for Assessing Generated Videos

Reference 3

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Observation 0f0ed7be-d989-412e-9c13-08e3cb8f61f2 · outbound

This paper cites Amazon mechanical turk.

Generative Action Tell-Tales: Assessing Human Motion in Synthesized Videos Amazon mechanical turk

Reference 4

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Observation ea4f46b7-d3c0-41f7-9241-ebeb7ed20db7 · outbound

This paper cites Tuned Contrastive Learning.

Generative Action Tell-Tales: Assessing Human Motion in Synthesized Videos Tuned Contrastive Learning

Reference 5

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Observation ac3a21d3-1f39-47b5-8bff-d9548f411574 · outbound

This paper cites VideoPhy: Evaluating Physical Commonsense for Video Generation.

Generative Action Tell-Tales: Assessing Human Motion in Synthesized Videos VideoPhy: Evaluating Physical Commonsense for Video Generation

Reference 6

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Observation 2eaf1f6a-91c2-4d27-b10a-c018831d97ce · outbound

This paper cites VideoPhy-2: A Challenging Action-Centric Physical Commonsense Evaluation in Video Generation.

Generative Action Tell-Tales: Assessing Human Motion in Synthesized Videos VideoPhy-2: A Challenging Action-Centric Physical Commonsense Evaluation in Video Generation

Reference 7

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Observation 0fed9fdb-09e6-4a5d-bc6a-d92ba2d409a3 · outbound

This paper cites Row, Peterson and Company, 1954.

Generative Action Tell-Tales: Assessing Human Motion in Synthesized Videos Row, Peterson and Company, 1954

Reference 8

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Observation 63523bea-8c2e-42cd-9b41-bfc3e3ca089e · outbound

This paper cites Is space-time attention all you need for video understanding? International Conference on Machine Learning, 2021.

Generative Action Tell-Tales: Assessing Human Motion in Synthesized Videos Is space-time attention all you need for video understanding? International Conference on Machine Learning, 2021

Reference 9

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Observation 5800b29a-d619-42a4-80f9-3e21da877a0c · outbound

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

Generative Action Tell-Tales: Assessing Human Motion in Synthesized Videos Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets

Reference 10

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Observation b97d5ab6-f76c-4618-adcd-fdded482727d · outbound

This paper cites Realtime multi-person 2d pose estimation using part affin- ity fields.

Generative Action Tell-Tales: Assessing Human Motion in Synthesized Videos Realtime multi-person 2d pose estimation using part affin- ity fields

Reference 11

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Observation 519e7c97-3405-488b-ad17-042643c13e25 · outbound

This paper cites Emerg- ing properties in self-supervised vision transformers.2021 IEEE/CVF International Conference on Computer Vision,.

Generative Action Tell-Tales: Assessing Human Motion in Synthesized Videos Emerg- ing properties in self-supervised vision transformers.2021 IEEE/CVF International Conference on Computer Vision,

Reference 12

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Observation 7e903371-d048-41f7-b1f4-08e63b86af2b · outbound

This paper cites Emerg- ing properties in self-supervised vision transformers.

Generative Action Tell-Tales: Assessing Human Motion in Synthesized Videos Emerg- ing properties in self-supervised vision transformers

Reference 13

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Observation 1bb7785a-0c4c-452b-8409-32413a8414ba · outbound

This paper cites A Short Note on the Kinetics-700 Human Action Dataset.

Generative Action Tell-Tales: Assessing Human Motion in Synthesized Videos A Short Note on the Kinetics-700 Human Action Dataset

Reference 14

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Observation a8c152d7-7024-47b0-8593-3e28ffb38914 · outbound

This paper cites Sora as an agi world model? a complete survey on text-to-video generation.arXiv preprint arXiv:2403.05131, 2024.

Generative Action Tell-Tales: Assessing Human Motion in Synthesized Videos Sora as an agi world model? a complete survey on text-to-video generation.arXiv preprint arXiv:2403.05131, 2024

Reference 15

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Observation d54a4dac-a48d-4b24-95fa-d6f7757f20a6 · outbound

This paper cites Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities.

Generative Action Tell-Tales: Assessing Human Motion in Synthesized Videos Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities

Reference 16

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Observation 5b7d29de-ce01-4711-8a4d-b54984fe1857 · outbound

This paper cites Arcface: Additive angular margin loss for deep face recognition.

Generative Action Tell-Tales: Assessing Human Motion in Synthesized Videos Arcface: Additive angular margin loss for deep face recognition

Reference 17

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Observation 61f313df-66be-4fe8-a019-cbb7613f0e99 · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

Generative Action Tell-Tales: Assessing Human Motion in Synthesized Videos An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 18

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Observation 20e32031-95c8-47e1-9b92-bf39885b544d · outbound

This paper cites Tokenhmr: Advancing human mesh recov- ery with a tokenized pose representation.

Generative Action Tell-Tales: Assessing Human Motion in Synthesized Videos Tokenhmr: Advancing human mesh recov- ery with a tokenized pose representation

Reference 19

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Observation f40a930f-5d33-4ecd-854a-04c53ee67cd5 · outbound

This paper cites Smpl made simple faqs.https : / / files.

Generative Action Tell-Tales: Assessing Human Motion in Synthesized Videos Smpl made simple faqs.https : / / files

Reference 20

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Observation 56fc8e7e-96df-4b7c-ba85-585db43add17 · outbound

This paper cites Ava: A video dataset of spatio-temporally localized atomic visual actions.

Generative Action Tell-Tales: Assessing Human Motion in Synthesized Videos Ava: A video dataset of spatio-temporally localized atomic visual actions

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Observation 09294ba3-ca8f-497e-8df9-705b2ca71f52 · outbound

This paper cites Deep residual learning for image recognition.

Generative Action Tell-Tales: Assessing Human Motion in Synthesized Videos Deep residual learning for image recognition

Reference 22

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Observation 74bba304-61e1-4dc7-a02a-8eb44dc8c32f · outbound

This paper cites Videoscore: Building automatic metrics to simulate fine-grained human feedback for video genera- tion.

Generative Action Tell-Tales: Assessing Human Motion in Synthesized Videos Videoscore: Building automatic metrics to simulate fine-grained human feedback for video genera- tion

Reference 23

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Observation bf4d14d7-a2b3-477c-8509-a10f1b9a28f6 · outbound

This paper cites Videoscore2: Think before you score in generative video evaluation.arXiv preprint arXiv:2509.22799, 2025.

Generative Action Tell-Tales: Assessing Human Motion in Synthesized Videos Videoscore2: Think before you score in generative video evaluation.arXiv preprint arXiv:2509.22799, 2025

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Observation 25d71c0a-c6bf-4035-a5a3-b037ee57a234 · outbound

This paper cites Clipscore: A reference-free evaluation met- ric for image captioning.

Generative Action Tell-Tales: Assessing Human Motion in Synthesized Videos Clipscore: A reference-free evaluation met- ric for image captioning

Reference 25

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Observation 2e2889ab-f0ea-406c-a4ac-9025301fee8b · outbound

This paper cites Video dif- fusion models.Advances in Neural Information Processing Systems, 2022.

Generative Action Tell-Tales: Assessing Human Motion in Synthesized Videos Video dif- fusion models.Advances in Neural Information Processing Systems, 2022

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Observation 505f2100-1cf7-4094-bac3-055c2b66e23c · outbound

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

Generative Action Tell-Tales: Assessing Human Motion in Synthesized Videos CogVideo: Large-scale Pretraining for Text-to-Video Generation via Transformers

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Observation 6e942015-2ed0-4cdb-901f-8a152809e6d3 · outbound

This paper cites Image quality metrics: Psnr vs.

Generative Action Tell-Tales: Assessing Human Motion in Synthesized Videos Image quality metrics: Psnr vs

Reference 28

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Observation dc8c1724-c8dc-43ac-825b-f50ecb5b0b68 · outbound

This paper cites Methodologies for the subjective assessment of the quality of television pic- tures.

Generative Action Tell-Tales: Assessing Human Motion in Synthesized Videos Methodologies for the subjective assessment of the quality of television pic- tures

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Observation 3995b611-fea1-4a38-9908-cc45aca6359b · outbound

This paper cites Black, David W.

Generative Action Tell-Tales: Assessing Human Motion in Synthesized Videos Black, David W

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Observation c97c56f2-3de8-47c9-8452-9bdb2a300790 · outbound

This paper cites Vibe: Video inference for human body pose and shape estimation.

Generative Action Tell-Tales: Assessing Human Motion in Synthesized Videos Vibe: Video inference for human body pose and shape estimation

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Observation 3419c7af-9678-46fd-a89a-f333b3941dd7 · outbound

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

Generative Action Tell-Tales: Assessing Human Motion in Synthesized Videos HunyuanVideo: A Systematic Framework For Large Video Generative Models

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Observation f4655f19-de07-4742-9c88-d0758d8bf0d2 · outbound

This paper cites Kling: High-fidelity and temporally consistent text-to-video generation.Technical Report, 2024.

Generative Action Tell-Tales: Assessing Human Motion in Synthesized Videos Kling: High-fidelity and temporally consistent text-to-video generation.Technical Report, 2024

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Observation 531d9955-6c08-45bc-940c-e9acfb081863 · outbound

This paper cites What matters when building vision-language models? Advances in Neural Information Processing Systems, 2024.

Generative Action Tell-Tales: Assessing Human Motion in Synthesized Videos What matters when building vision-language models? Advances in Neural Information Processing Systems, 2024

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Observation 7e90c269-d8da-46ee-95fe-0211a09294d7 · outbound

This paper cites GENMO: A GENeralist Model for Human MOtion.

Generative Action Tell-Tales: Assessing Human Motion in Synthesized Videos GENMO: A GENeralist Model for Human MOtion

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Observation 140f99b2-7a0d-4e2c-8ad3-6f6836a307e7 · outbound

This paper cites Visual instruction tuning.Advances in Neural Information Processing Systems, 2023.

Generative Action Tell-Tales: Assessing Human Motion in Synthesized Videos Visual instruction tuning.Advances in Neural Information Processing Systems, 2023

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Observation b2070bf9-b5e4-450c-ae0f-d6dd68c66f96 · outbound

This paper cites Llava-next: Im- proved reasoning, ocr, and world knowledge for large mul- timodal models (llava v1.6).https : / / llava - vl.

Generative Action Tell-Tales: Assessing Human Motion in Synthesized Videos Llava-next: Im- proved reasoning, ocr, and world knowledge for large mul- timodal models (llava v1.6).https : / / llava - vl

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source=pdf_text observed=2026-08-03T19:11:49.852690Z digest=sha256:3a9e8f439cdb6a002e0d347283ba19961d70c9154562eec38e9644133d380871

Observation bb7740ed-4a00-4d42-b6b2-cf39c956ad7e · outbound

This paper cites Evalcrafter: Benchmarking and eval- uating large video generation models.

Generative Action Tell-Tales: Assessing Human Motion in Synthesized Videos Evalcrafter: Benchmarking and eval- uating large video generation models

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Observation 0603b751-eb3e-465c-9a43-23553e43e916 · outbound

This paper cites Smpl: A skinned multi- person linear model.Seminal Graphics Papers: Pushing the Boundaries, Volume 2, 2023.

Generative Action Tell-Tales: Assessing Human Motion in Synthesized Videos Smpl: A skinned multi- person linear model.Seminal Graphics Papers: Pushing the Boundaries, Volume 2, 2023

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source=pdf_text observed=2026-08-03T19:11:50.078434Z digest=sha256:45280ffe59cadb5924255e095513a7ef9c84e53a7e8aa0ababfe6e97a42406d2

Observation f33a00cd-d8d2-4e83-be16-4942445aeb21 · outbound

This paper cites Decoupled Weight Decay Regularization.

Generative Action Tell-Tales: Assessing Human Motion in Synthesized Videos Decoupled Weight Decay Regularization

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source=pdf_text observed=2026-08-03T19:11:50.117308Z digest=sha256:83beba2b1e31c55f9d78968167fc1a51f558c0ef4e0b7f92948fff8299784f13

Observation 46e271c2-f8f5-4479-a649-f62a945fbaed · outbound

This paper cites X-clip: End-to-end multi-grained con- trastive learning for video-text retrieval, 2022.

Generative Action Tell-Tales: Assessing Human Motion in Synthesized Videos X-clip: End-to-end multi-grained con- trastive learning for video-text retrieval, 2022

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source=pdf_text observed=2026-08-03T19:11:50.187345Z digest=sha256:888160026456dd9b7555287e724ab4e216cd6de1885c984ca8ef9d40f12cd0de

Observation 84a353e6-dc24-411e-9334-4436bc0c6295 · outbound

This paper cites No-reference image quality assessment in the spa- tial domain.IEEE Transactions on Image Processing, 2012.

Generative Action Tell-Tales: Assessing Human Motion in Synthesized Videos No-reference image quality assessment in the spa- tial domain.IEEE Transactions on Image Processing, 2012

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source=pdf_text observed=2026-08-03T19:11:50.306125Z digest=sha256:a24e8b10e7e6784ab020aad4020023aacb0c67357f966827491da1fd86170be8

Observation ed43c1b0-425e-459d-be7e-7d72006dbca2 · outbound

This paper cites Do generative video models understand physical principles?.

Generative Action Tell-Tales: Assessing Human Motion in Synthesized Videos Do generative video models understand physical principles?

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source=pdf_text observed=2026-08-03T19:11:50.463345Z digest=sha256:bf340c707bf9cc08c5543eb222213ceb60689b2bfc921c9e2d61edad2c51cdd7

Observation 3b0a21e0-ce5f-4b0b-be31-b8824d44cf5d · outbound

This paper cites Sora: A large-scale diffusion transformer for text- to-video generation.Technical Report, 2024.https:// openai.com/research/sora.

Generative Action Tell-Tales: Assessing Human Motion in Synthesized Videos Sora: A large-scale diffusion transformer for text- to-video generation.Technical Report, 2024.https:// openai.com/research/sora

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source=pdf_text observed=2026-08-03T19:11:50.607077Z digest=sha256:0ee5eabde23405451daa163f8dcc6b2d71303d657fcd3b63892ad1ed44b9f931

Observation 7b460a16-900a-4ea6-89e7-2c3155f1237f · outbound

This paper cites Gpt-5 system card.

Generative Action Tell-Tales: Assessing Human Motion in Synthesized Videos Gpt-5 system card

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source=pdf_text observed=2026-08-03T19:11:50.764465Z digest=sha256:9c5eeaff22073b77ef99899297b1d65438b2ba36880d7d9b9e32f0c6de6f000f

Observation 414ea285-2c27-4825-ac2b-66fce01786c1 · outbound

This paper cites DINOv2: Learning Robust Visual Features without Supervision.

Generative Action Tell-Tales: Assessing Human Motion in Synthesized Videos DINOv2: Learning Robust Visual Features without Supervision

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source=pdf_text observed=2026-08-03T19:11:51.046259Z digest=sha256:e3e4ddc628b1ec04bf1adaff200a29d8d3d07053069cdd467fc0d9fa72ccf302

Observation eed990ca-641a-4806-bf8a-5da5bca08756 · outbound

This paper cites Expressive body capture: 3d hands, face, and body from a single image.

Generative Action Tell-Tales: Assessing Human Motion in Synthesized Videos Expressive body capture: 3d hands, face, and body from a single image

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source=pdf_text observed=2026-08-03T19:11:51.164104Z digest=sha256:b81e6a56e2c5fbeb6bc0bff9bec033d236a53c6322c23b9c12ef4620a0f5c8eb

Observation 9e363b04-c7fa-426b-b5c3-de420e55a775 · outbound

This paper cites Learn- ing transferable visual models from natural language super- vision.

Generative Action Tell-Tales: Assessing Human Motion in Synthesized Videos Learn- ing transferable visual models from natural language super- vision

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source=pdf_text observed=2026-08-03T19:11:51.308829Z digest=sha256:bc01939aa299c964ee7c09bbc561c8c0a08896bbcc15fa9634c860beafc5a147

Observation c10a9716-1eb5-4648-ab3b-01ebc272687e · outbound

This paper cites Two-stream con- volutional networks for action recognition in videos.Ad- vances in Neural Information Processing Systems, 2014.

Generative Action Tell-Tales: Assessing Human Motion in Synthesized Videos Two-stream con- volutional networks for action recognition in videos.Ad- vances in Neural Information Processing Systems, 2014

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source=pdf_text observed=2026-08-03T19:11:51.455502Z digest=sha256:e4d77e67d6e053a9db990b272a4e0508f5d1463d8131ea85169b13676244d84c

Observation 201ab2bb-f1aa-462f-b7c5-57a56f4bf93a · outbound

This paper cites UCF101: A Dataset of 101 Human Actions Classes From Videos in The Wild.

Generative Action Tell-Tales: Assessing Human Motion in Synthesized Videos UCF101: A Dataset of 101 Human Actions Classes From Videos in The Wild

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source=pdf_text observed=2026-08-03T19:11:51.577844Z digest=sha256:b2532122580cc094da8e5e179035981d864e1f82233a124b8096cad78fa9b97f

Observation 3753a81d-0a9e-42fb-aa0d-f0fe917f72b0 · outbound

This paper cites Runway gen-4: Advancing realistic text-to-video generation.Technical Report, 2024.https: //research.runwayml.com/gen4.

Generative Action Tell-Tales: Assessing Human Motion in Synthesized Videos Runway gen-4: Advancing realistic text-to-video generation.Technical Report, 2024.https: //research.runwayml.com/gen4

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source=pdf_text observed=2026-08-03T19:11:51.766307Z digest=sha256:6b19d7d7f2d27cc65b72d9afce571cc70847360c972d83db88ebc253da126b19

Observation 90064232-6f7e-46d5-86f4-263d7f4679b9 · outbound

This paper cites Human Motion Diffusion Model.

Generative Action Tell-Tales: Assessing Human Motion in Synthesized Videos Human Motion Diffusion Model

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source=pdf_text observed=2026-08-03T19:11:51.880760Z digest=sha256:5f3d0029e62127a93b556c45533aa411e967e9a54a98285ffbe4272e2e197954

Observation 08e80cc4-e8d2-4e38-8228-f8c14775b894 · outbound

This paper cites What's in a Latent? Leveraging Diffusion Latent Space for Domain Generalization.

Generative Action Tell-Tales: Assessing Human Motion in Synthesized Videos What's in a Latent? Leveraging Diffusion Latent Space for Domain Generalization

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source=pdf_text observed=2026-08-03T19:11:52.004274Z digest=sha256:4a76cb31843d300e8b3da18d03b0d8f2f72418888ded0d149db2a69985853e6f

Observation c0279f4f-6c9e-4aa6-81d6-c54b651d1163 · outbound

This paper cites Videomae: Masked autoencoders are data-efficient learners for self-supervised video pre-training.Advances in Neural Information Processing Systems, 2022.

Generative Action Tell-Tales: Assessing Human Motion in Synthesized Videos Videomae: Masked autoencoders are data-efficient learners for self-supervised video pre-training.Advances in Neural Information Processing Systems, 2022

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source=pdf_text observed=2026-08-03T19:11:52.139770Z digest=sha256:f18e49ae3aa05ac141a68291b2c0d879d2347bf954df7470a13f2e91c2e2009d

Observation 337ad33b-6447-4e15-b6d3-e2efd39bdb73 · outbound

This paper cites Towards Accurate Generative Models of Video: A New Metric & Challenges.

Generative Action Tell-Tales: Assessing Human Motion in Synthesized Videos Towards Accurate Generative Models of Video: A New Metric & Challenges

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source=pdf_text observed=2026-08-03T19:11:52.231503Z digest=sha256:f61690417e2a6763e281c74cec117fe8c032a7a08b2971ce0e786d2d4b56ae0c

Observation bbd96211-1915-43e5-a898-70ff043e1467 · outbound

This paper cites Visualizing data using t-sne.Journal of Machine Learning Research,.

Generative Action Tell-Tales: Assessing Human Motion in Synthesized Videos Visualizing data using t-sne.Journal of Machine Learning Research,

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source=pdf_text observed=2026-08-03T19:11:52.326763Z digest=sha256:a805a21ed61f7021f20f0088de9618b02399209714f1c21a6c99b26c8f23d232

Observation 5cd55fa3-c213-4363-8eab-6af0acbaf8a9 · outbound

This paper cites Attention is all you need.Advances in Neural Information Processing Systems, 30, 2017.

Generative Action Tell-Tales: Assessing Human Motion in Synthesized Videos Attention is all you need.Advances in Neural Information Processing Systems, 30, 2017

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source=pdf_text observed=2026-08-03T19:11:52.421165Z digest=sha256:c7a6710f7add8905b72725263e402750f13826bed7e5886b8977a6f9f89d442d

Observation 37ef30c1-13ad-4488-86c2-d9bfc873cc26 · outbound

This paper cites Praneeth, Sumohana S.

Generative Action Tell-Tales: Assessing Human Motion in Synthesized Videos Praneeth, Sumohana S

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source=pdf_text observed=2026-08-03T19:11:52.521506Z digest=sha256:da739bd68989b77d52957afbe92bc84e31c9053770e160b4d4e5027d73068513

Observation 78b8ec9a-4ead-4748-8301-7170b7fda776 · outbound

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

Generative Action Tell-Tales: Assessing Human Motion in Synthesized Videos Wan: Open and Advanced Large-Scale Video Generative Models

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source=pdf_text observed=2026-08-03T19:11:52.650027Z digest=sha256:bd92b1d4285e84e00e3ceaae84465a334dd23f0a7f60ec7cdfef4e7b23532652

Observation 5e0a4f94-5156-4fd5-9770-1db42cb3ced4 · outbound

This paper cites Bovik, H.R.

Generative Action Tell-Tales: Assessing Human Motion in Synthesized Videos Bovik, H.R

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source=pdf_text observed=2026-08-03T19:11:52.754913Z digest=sha256:c555f665376c1e5192ee4bf90bcd24d2b0dbd14a1475606b3d1f33fc93e8ef46

Observation da141645-4fac-4f9b-96ca-26d8a2a801b5 · outbound

This paper cites Image quality assessment: from error visibility to structural similarity.IEEE Transactions on Image Process- ing, 2004.

Generative Action Tell-Tales: Assessing Human Motion in Synthesized Videos Image quality assessment: from error visibility to structural similarity.IEEE Transactions on Image Process- ing, 2004

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source=pdf_text observed=2026-08-03T19:11:52.850224Z digest=sha256:c4a8c24ce87318602dea6bf115818981d6d8f1f7edaf6fc4a705cd1ecd095c9a

Observation a76490f6-51a5-4fbc-a34f-6206a431792d · outbound

This paper cites Video models are zero-shot learners and reasoners.

Generative Action Tell-Tales: Assessing Human Motion in Synthesized Videos Video models are zero-shot learners and reasoners

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source=pdf_text observed=2026-08-03T19:11:52.916096Z digest=sha256:519c278914857812282db1a1f7800b2e9c81bc1e04bac6e69ca051d7daef22cf

Observation 4919ae3b-347c-4a5a-9448-84db3f1c8abe · outbound

This paper cites Detectron2.https://github.

Generative Action Tell-Tales: Assessing Human Motion in Synthesized Videos Detectron2.https://github

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source=pdf_text observed=2026-08-03T19:11:52.987345Z digest=sha256:e30558792890280b8d65f88c1788add9b599fad53e4918382e16b448bd9208de

Observation 6635ec69-8943-4e31-adcb-7d04ae3b6db2 · outbound

This paper cites A survey on video diffusion models.ACM Computing Surveys, 2024.

Generative Action Tell-Tales: Assessing Human Motion in Synthesized Videos A survey on video diffusion models.ACM Computing Surveys, 2024

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source=pdf_text observed=2026-08-03T19:11:53.050463Z digest=sha256:59c7404b8b07af563daddd867d79007567d4485367fdf36d4108de711fb17a96

Observation 1e7f5e1d-ada5-492a-84ee-f73dc5ed1672 · outbound

This paper cites Seeing the ar- row of time in large multimodal models.arXiv preprint arXiv:2506.03340, 2025.

Generative Action Tell-Tales: Assessing Human Motion in Synthesized Videos Seeing the ar- row of time in large multimodal models.arXiv preprint arXiv:2506.03340, 2025

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source=pdf_text observed=2026-08-03T19:11:53.109454Z digest=sha256:11724d0a3bf814ba90d3acf7b5ea73832bca5f484d272640d588af3ce2c3e795

Observation 9c4d2d31-db6e-4028-ad84-e569517c99c6 · outbound

This paper cites Qwen3 Technical Report.

Generative Action Tell-Tales: Assessing Human Motion in Synthesized Videos Qwen3 Technical Report

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source=pdf_text observed=2026-08-03T19:11:53.172983Z digest=sha256:0e20f21e4eed6997d993eed027791bf13c628f9e277825c8236f2a882a75a617

Observation f7e396ba-874d-4a75-9f70-6aec6aa4efcb · outbound

This paper cites Effec- tive whole-body pose estimation with two-stages distillation.

Generative Action Tell-Tales: Assessing Human Motion in Synthesized Videos Effec- tive whole-body pose estimation with two-stages distillation

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source=pdf_text observed=2026-08-03T19:11:53.236150Z digest=sha256:0fcfd230593149b57f055cdf7407db6029f4b448e9d4a36149e433e398df85be

Observation 5bb97ca7-36cf-401a-921d-590e6f214d47 · outbound

This paper cites The unreasonable effectiveness of deep features as a perceptual metric.

Generative Action Tell-Tales: Assessing Human Motion in Synthesized Videos The unreasonable effectiveness of deep features as a perceptual metric

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source=pdf_text observed=2026-08-03T19:11:53.300093Z digest=sha256:82e4d7642baba2bccdb7a6bc4c92c229bb1f42f02f10356e79f34ef0e7804168

Observation be830186-9a0a-48c8-ac68-783537c97a49 · outbound

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

Generative Action Tell-Tales: Assessing Human Motion in Synthesized Videos I2VGen-XL: High-Quality Image-to-Video Synthesis via Cascaded Diffusion Models

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source=pdf_text observed=2026-08-03T19:11:53.352938Z digest=sha256:d01164ec543c6896ab68ec9c1ecd584fc395641a520e025043039833f33600dd

Observation 7dfb4cde-dffd-4ca0-800e-78e26826345d · outbound

This paper cites LLaVA-Video: Video Instruction Tuning With Synthetic Data.

Generative Action Tell-Tales: Assessing Human Motion in Synthesized Videos LLaVA-Video: Video Instruction Tuning With Synthetic Data

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source=pdf_text observed=2026-08-03T19:11:53.418782Z digest=sha256:228d823b18d7b1be7ebef6413f94b794374b8ba08eb8e3eeb399cc3b60d05fc6

Observation 00b4eaac-2f57-44cb-a055-d6fb0a4a26cb · outbound

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

Generative Action Tell-Tales: Assessing Human Motion in Synthesized Videos VBench-2.0: Advancing Video Generation Benchmark Suite for Intrinsic Faithfulness

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source=pdf_text observed=2026-08-03T19:11:53.511931Z digest=sha256:f62809307c6afe334358702975d9103064e847c392f5d65d87a4e08c759072d0

Observation 81ec3117-b6b7-4165-beff-7b9750aa5bf3 · outbound

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

Generative Action Tell-Tales: Assessing Human Motion in Synthesized Videos Open-Sora: Democratizing Efficient Video Production for All

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no resolver link, observed 2026-08-03T19:11:53.585896Z

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source=pdf_text observed=2026-08-03T19:11:53.585896Z digest=sha256:78f2ae6e1c396811c77f94aecd2c12d16f82a720d044f9b5c1e3382a6588500a

Observation f3bdd3ff-7918-4c97-8918-7c18b1ecc9b9 · outbound

This paper cites - Check pose, motion pattern, timing, and repeated evidence of that action.

Generative Action Tell-Tales: Assessing Human Motion in Synthesized Videos - Check pose, motion pattern, timing, and repeated evidence of that action

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source=pdf_text observed=2026-08-03T19:11:53.672760Z digest=sha256:64be6b8b435a59529a156685454ea7bac08e3ccc479a31ff7b0b0844af430ce9

Observation a6448e26-8c99-45eb-a134-f416aba96eec · outbound

This paper cites action_consistency.

Generative Action Tell-Tales: Assessing Human Motion in Synthesized Videos action_consistency

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source=pdf_text observed=2026-08-03T19:11:53.734059Z digest=sha256:a8380bb0be269657085b34c60b9b07b21d58a7302ecb3c73fd119ff9a2e34e4c

Observation ac5fb7a1-bfd5-4d47-81e2-fbbdec96b275 · outbound

This paper cites an unresolved cited work.

Generative Action Tell-Tales: Assessing Human Motion in Synthesized Videos Unresolved cited work

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no resolver link, observed 2026-08-03T19:11:50.921407Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-03T19:11:50.921407Z digest=sha256:12d0417eea241bb8d3b57eaa5708da35c3e813d41cf72ff0a414034f0ebd37be

Pith citing papers

No inbound Pith citation observations are available.