Paper Citation Record · LEDGER

Step-Video-T2V Technical Report: The Practice, Challenges, and Future of Video Foundation Model

As of 5 August 2026, this Paper Citation Record lists 100 of 296 outbound references and 56 inbound Pith citation observations for arXiv:2502.10248.

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

pith.paper-citation-record.v1
2502.10248 v3

Coverage vector

measured 100 of 296 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-19T08:02:23.002090Z

measured 156 of 156 standing notices

One-hop event checks from named stored sources.

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

measured 56 of 56 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T17:45:17.186768Z

measured 1 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T02:28:24.338817Z

Reference resolution

100 of 296 outbound references displayed

verified exact22
verified fuzzy54
unresolved7
parse uncertain0
malformed identifier0
metadata mismatch17

External citation measurements

0
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation e3db04c6-63d9-40ae-b163-e2319fa8a309 · outbound

This paper cites Video generation models as world simulators.

Step-Video-T2V Technical Report: The Practice, Challenges, and Future of Video Foundation Model Video generation models as world simulators

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T08:02:24.416179Z

Source-reported events for the cited work

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

Observation 1b51e1fb-457a-4895-8318-b1c0ca725923 · outbound

This paper cites an unresolved cited work.

Step-Video-T2V Technical Report: The Practice, Challenges, and Future of Video Foundation Model Unresolved cited work

Reference 2

Resolution: unresolved; raw_fallback, observed 2026-05-19T08:02:24.425629Z

Source-reported events for the cited work

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

Observation 88567e7a-6b3e-4fd1-b6c9-75ce464fcd7b · outbound

This paper cites an unresolved cited work.

Step-Video-T2V Technical Report: The Practice, Challenges, and Future of Video Foundation Model Unresolved cited work

Reference 3

Resolution: unresolved; raw_fallback, observed 2026-05-19T08:02:24.430257Z

Source-reported events for the cited work

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

Observation 57ba1ca1-fe51-44d4-a7a6-6b92721c1d77 · outbound

This paper cites an unresolved cited work.

Step-Video-T2V Technical Report: The Practice, Challenges, and Future of Video Foundation Model Unresolved cited work

Reference 4

Resolution: unresolved; raw_fallback, observed 2026-05-19T08:02:24.440335Z

Source-reported events for the cited work

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

Observation d0afb639-d642-455f-9e5a-ffb9b0a4d967 · outbound

This paper cites Gen-3 alpha.

Step-Video-T2V Technical Report: The Practice, Challenges, and Future of Video Foundation Model Gen-3 alpha

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T08:02:24.444978Z

Source-reported events for the cited work

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

Observation ce52b633-263e-4d43-b961-5582384821aa · outbound

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

Step-Video-T2V Technical Report: The Practice, Challenges, and Future of Video Foundation Model HunyuanVideo: A Systematic Framework For Large Video Generative Models

Reference 6

Resolution: verified exact; local_arxiv, observed 2026-05-19T08:02:23.931507Z

Source-reported events for the cited work

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

Observation 9726da56-2ba2-4d0d-b533-89429094b715 · outbound

This paper cites Open-sora: Democratizing efficient video production for all.

Step-Video-T2V Technical Report: The Practice, Challenges, and Future of Video Foundation Model Open-sora: Democratizing efficient video production for all

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T08:02:24.449409Z

Source-reported events for the cited work

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

Observation 6db8b2d6-a5b2-4c8e-8364-99b4949da35a · outbound

This paper cites Scaling Rectified Flow Transformers for High-Resolution Image Synthesis.

Step-Video-T2V Technical Report: The Practice, Challenges, and Future of Video Foundation Model Scaling Rectified Flow Transformers for High-Resolution Image Synthesis

Reference 10

Resolution: verified exact; local_arxiv, observed 2026-05-19T08:02:24.057710Z

Source-reported events for the cited work

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

Observation 1dcf930d-2b7a-4ff3-82b0-f0adb14fe80e · outbound

This paper cites Scalable Diffusion Models with Transformers.

Step-Video-T2V Technical Report: The Practice, Challenges, and Future of Video Foundation Model Scalable Diffusion Models with Transformers

Reference 11

Resolution: verified exact; local_arxiv, observed 2026-05-19T08:02:23.796342Z

Source-reported events for the cited work

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

Observation 61cba769-5fc5-465b-898d-433d921fd919 · outbound

This paper cites Movie Gen: A Cast of Media Foundation Models.

Step-Video-T2V Technical Report: The Practice, Challenges, and Future of Video Foundation Model Movie Gen: A Cast of Media Foundation Models

Reference 12

Resolution: metadata mismatch; local_arxiv, observed 2026-05-19T08:02:23.924392Z

Source-reported events for the cited work

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

Observation 424b6607-d5d1-489b-9526-98c0a24c22ae · outbound

This paper cites Language model beats diffusion - tokenizer is key to visual generation.

Step-Video-T2V Technical Report: The Practice, Challenges, and Future of Video Foundation Model Language model beats diffusion - tokenizer is key to visual generation

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T08:02:24.453959Z

Source-reported events for the cited work

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

Observation 6f1d706e-5be6-48ce-a7eb-88a2acd01955 · outbound

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

Step-Video-T2V Technical Report: The Practice, Challenges, and Future of Video Foundation Model Cosmos World Foundation Model Platform for Physical AI

Reference 14

Resolution: verified exact; local_arxiv, observed 2026-05-19T08:02:23.962171Z

Source-reported events for the cited work

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

Observation 097c1c8e-d302-4d82-a71c-7411e8f83ff5 · outbound

This paper cites WF-VAE: Enhancing Video VAE by Wavelet-Driven Energy Flow for Latent Video Diffusion Model.

Step-Video-T2V Technical Report: The Practice, Challenges, and Future of Video Foundation Model WF-VAE: Enhancing Video VAE by Wavelet-Driven Energy Flow for Latent Video Diffusion Model

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-05-19T08:02:23.987814Z

Source-reported events for the cited work

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

Observation 2fdde92b-9479-49f6-a815-d659b52d27e6 · outbound

This paper cites Deep compression autoencoder for efficient high-resolution diffusion models.

Step-Video-T2V Technical Report: The Practice, Challenges, and Future of Video Foundation Model Deep compression autoencoder for efficient high-resolution diffusion models

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T08:02:24.459607Z

Source-reported events for the cited work

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

Observation 7e75ae10-ae45-4a05-8cbd-7c4ef9fdd5d0 · outbound

This paper cites Flow Matching for Generative Modeling.

Step-Video-T2V Technical Report: The Practice, Challenges, and Future of Video Foundation Model Flow Matching for Generative Modeling

Reference 17

Resolution: verified exact; local_arxiv, observed 2026-05-19T08:02:24.071750Z

Source-reported events for the cited work

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

Observation 93a71d0d-a75f-49d1-ac8b-be50586c74c0 · outbound

This paper cites Hunyuan-DiT: A Powerful Multi-Resolution Diffusion Transformer with Fine-Grained Chinese Understanding.

Step-Video-T2V Technical Report: The Practice, Challenges, and Future of Video Foundation Model Hunyuan-DiT: A Powerful Multi-Resolution Diffusion Transformer with Fine-Grained Chinese Understanding

Reference 18

Resolution: verified exact; local_arxiv, observed 2026-05-19T08:02:23.310121Z

Source-reported events for the cited work

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

Observation 9f1b91b0-a607-4b5d-bf49-533c2766421b · outbound

This paper cites Train Short, Test Long: Attention with Linear Biases Enables Input Length Extrapolation.

Step-Video-T2V Technical Report: The Practice, Challenges, and Future of Video Foundation Model Train Short, Test Long: Attention with Linear Biases Enables Input Length Extrapolation

Reference 19

Resolution: metadata mismatch; local_arxiv, observed 2026-05-19T08:02:23.584841Z

Source-reported events for the cited work

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

Observation a122dd90-5703-4f45-8bdd-e3911295351b · outbound

This paper cites PixArt-$\alpha$: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis.

Step-Video-T2V Technical Report: The Practice, Challenges, and Future of Video Foundation Model PixArt-$\alpha$: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis

Reference 20

Resolution: verified exact; local_arxiv, observed 2026-05-19T08:02:23.592279Z

Source-reported events for the cited work

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

Observation 51c3c749-932a-4e8f-b60a-eba91c382e48 · outbound

This paper cites RoFormer: Enhanced Transformer with Rotary Position Embedding.

Step-Video-T2V Technical Report: The Practice, Challenges, and Future of Video Foundation Model RoFormer: Enhanced Transformer with Rotary Position Embedding

Reference 21

Resolution: verified exact; local_arxiv, observed 2026-05-19T08:02:23.671701Z

Source-reported events for the cited work

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

Observation 53b383e3-dd01-40b4-85ff-ae94aef16b22 · outbound

This paper cites Training language models to follow instructions with human feedback.

Step-Video-T2V Technical Report: The Practice, Challenges, and Future of Video Foundation Model Training language models to follow instructions with human feedback

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T08:02:24.465394Z

Source-reported events for the cited work

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

Observation 4cac45e3-d861-4402-a285-31e63460f2d1 · outbound

This paper cites Deep reinforcement learning from human preferences.

Step-Video-T2V Technical Report: The Practice, Challenges, and Future of Video Foundation Model Deep reinforcement learning from human preferences

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T08:02:24.470401Z

Source-reported events for the cited work

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

Observation e8c9171a-e6dc-43de-aa6b-882ae4a670fe · outbound

This paper cites Direct preference optimization: Your language model is secretly a reward model.

Step-Video-T2V Technical Report: The Practice, Challenges, and Future of Video Foundation Model Direct preference optimization: Your language model is secretly a reward model

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T08:02:24.477172Z

Source-reported events for the cited work

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

Observation 249d6c06-2337-4cda-b5f0-a620e157a6e2 · outbound

This paper cites Diffusion model alignment using direct preference optimization.

Step-Video-T2V Technical Report: The Practice, Challenges, and Future of Video Foundation Model Diffusion model alignment using direct preference optimization

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T08:02:24.481525Z

Source-reported events for the cited work

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

Observation 390bbff3-0aca-45be-970a-fc41bf9c2ed6 · outbound

This paper cites Using human feedback to fine-tune diffusion models without any reward model.

Step-Video-T2V Technical Report: The Practice, Challenges, and Future of Video Foundation Model Using human feedback to fine-tune diffusion models without any reward model

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T08:02:24.487178Z

Source-reported events for the cited work

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

Observation 436ba729-9325-4305-8163-eb030321a751 · outbound

This paper cites Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow.

Step-Video-T2V Technical Report: The Practice, Challenges, and Future of Video Foundation Model Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow

Reference 27

Resolution: verified exact; local_arxiv, observed 2026-05-19T08:02:24.018974Z

Source-reported events for the cited work

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

Observation cfd90426-d0ae-43e4-a433-3205fda778ad · outbound

This paper cites Improving the Training of Rectified Flows.

Step-Video-T2V Technical Report: The Practice, Challenges, and Future of Video Foundation Model Improving the Training of Rectified Flows

Reference 28

Resolution: verified exact; arxiv_id, observed 2026-05-19T08:02:24.026542Z

Source-reported events for the cited work

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

Observation 374ee2e8-dbe3-4d97-8196-241ec31dd8c1 · outbound

This paper cites Efficient large-scale language model training on gpu clusters using megatron-lm.

Step-Video-T2V Technical Report: The Practice, Challenges, and Future of Video Foundation Model Efficient large-scale language model training on gpu clusters using megatron-lm

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T08:02:24.491468Z

Source-reported events for the cited work

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

Observation 3fb1ec26-f61a-4718-a126-0fbc3e316c31 · outbound

This paper cites Reducing activation recomputation in large transformer models.

Step-Video-T2V Technical Report: The Practice, Challenges, and Future of Video Foundation Model Reducing activation recomputation in large transformer models

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T08:02:24.498241Z

Source-reported events for the cited work

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

Observation 6e5151fa-990e-414d-a290-97ac6844e0d4 · outbound

This paper cites Ring Attention with Blockwise Transformers for Near-Infinite Context.

Step-Video-T2V Technical Report: The Practice, Challenges, and Future of Video Foundation Model Ring Attention with Blockwise Transformers for Near-Infinite Context

Reference 31

Resolution: verified exact; local_arxiv, observed 2026-05-19T08:02:24.077796Z

Source-reported events for the cited work

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

Observation 78b559a4-8f39-4cc0-a01f-3c47b76d14b5 · outbound

This paper cites DeepSpeed Ulysses: System Optimizations for Enabling Training of Extreme Long Sequence Transformer Models.

Step-Video-T2V Technical Report: The Practice, Challenges, and Future of Video Foundation Model DeepSpeed Ulysses: System Optimizations for Enabling Training of Extreme Long Sequence Transformer Models

Reference 32

Resolution: verified exact; local_arxiv, observed 2026-05-19T08:02:23.291569Z

Source-reported events for the cited work

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

Observation 59c8ac4b-0e32-4482-b50f-29a59eaf51e4 · outbound

This paper cites Zero: Memory optimizations toward training trillion parameter models.

Step-Video-T2V Technical Report: The Practice, Challenges, and Future of Video Foundation Model Zero: Memory optimizations toward training trillion parameter models

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T08:02:24.503153Z

Source-reported events for the cited work

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

Observation 92699452-73e7-45cd-947a-6e2afc3ac75f · outbound

This paper cites Disttrain: Addressing model and data heterogeneity with disaggregated training for multimodal large language models.

Step-Video-T2V Technical Report: The Practice, Challenges, and Future of Video Foundation Model Disttrain: Addressing model and data heterogeneity with disaggregated training for multimodal large language models

Reference 34

Resolution: verified exact; arxiv_id, observed 2026-05-19T08:02:23.564702Z

Source-reported events for the cited work

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

Observation 5afcdcbc-5d7e-4568-a5f8-eedf8c1efd40 · outbound

This paper cites Channels Last Memory Format in PyTorch.

Step-Video-T2V Technical Report: The Practice, Challenges, and Future of Video Foundation Model Channels Last Memory Format in PyTorch

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T08:02:24.507443Z

Source-reported events for the cited work

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

Observation 96ebe783-8ae8-4e0a-9c07-6b88701ac625 · outbound

This paper cites Jordan, and Ion Stoica.

Step-Video-T2V Technical Report: The Practice, Challenges, and Future of Video Foundation Model Jordan, and Ion Stoica

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T08:02:24.511710Z

Source-reported events for the cited work

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

Observation 3b3631c5-b79b-4018-89aa-00fbec5f72e2 · outbound

This paper cites Pytorch rpc: Distributed deep learning built on tensor-optimized remote procedure calls.

Step-Video-T2V Technical Report: The Practice, Challenges, and Future of Video Foundation Model Pytorch rpc: Distributed deep learning built on tensor-optimized remote procedure calls

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T08:02:24.517347Z

Source-reported events for the cited work

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

Observation 1597fe2b-4566-4862-95e8-7fe26d69ce6c · outbound

This paper cites Mooncake: A KVCache-centric Disaggregated Architecture for LLM Serving.

Step-Video-T2V Technical Report: The Practice, Challenges, and Future of Video Foundation Model Mooncake: A KVCache-centric Disaggregated Architecture for LLM Serving

Reference 38

Resolution: verified exact; arxiv_id, observed 2026-05-19T08:02:23.720450Z

Source-reported events for the cited work

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

Observation 33fa9489-9a01-4f62-aee0-54cce38f314f · outbound

This paper cites The llama 3 herd of models, April 2024.

Step-Video-T2V Technical Report: The Practice, Challenges, and Future of Video Foundation Model The llama 3 herd of models, April 2024

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T08:02:24.524622Z

Source-reported events for the cited work

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

Observation 6220c3a1-967c-444b-89f2-dd4e2e8bad5c · outbound

This paper cites PySceneDetect.

Step-Video-T2V Technical Report: The Practice, Challenges, and Future of Video Foundation Model PySceneDetect

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T08:02:24.529179Z

Source-reported events for the cited work

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

Observation 4a718b9d-7051-47c9-abec-45dcd19d65de · outbound

This paper cites an unresolved cited work.

Step-Video-T2V Technical Report: The Practice, Challenges, and Future of Video Foundation Model Unresolved cited work

Reference 41

Resolution: unresolved; raw_fallback, observed 2026-05-19T08:02:24.533677Z

Source-reported events for the cited work

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

Observation 698c0a06-2230-4b30-a24f-5c333ae0832a · outbound

This paper cites Panda-70m: Captioning 70m videos with multiple cross-modality teachers.

Step-Video-T2V Technical Report: The Practice, Challenges, and Future of Video Foundation Model Panda-70m: Captioning 70m videos with multiple cross-modality teachers

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T08:02:24.538229Z

Source-reported events for the cited work

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

Observation b69d111d-f1b2-40b2-9ff3-2723e9c50d31 · outbound

This paper cites Laion-5b: An open large-scale dataset for training next generation image-text models.

Step-Video-T2V Technical Report: The Practice, Challenges, and Future of Video Foundation Model Laion-5b: An open large-scale dataset for training next generation image-text models

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T08:02:24.544287Z

Source-reported events for the cited work

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

Observation f3ed22ab-8066-4c94-948f-362cbeeefc68 · outbound

This paper cites Clip-based nsfw detector.

Step-Video-T2V Technical Report: The Practice, Challenges, and Future of Video Foundation Model Clip-based nsfw detector

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T08:02:24.548641Z

Source-reported events for the cited work

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

Observation 7de259bf-3738-4e5d-b8c2-a5445dc425c0 · outbound

This paper cites Efficientnet: Rethinking model scaling for convolutional neural networks.

Step-Video-T2V Technical Report: The Practice, Challenges, and Future of Video Foundation Model Efficientnet: Rethinking model scaling for convolutional neural networks

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T08:02:24.553407Z

Source-reported events for the cited work

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

Observation a364f9ec-d3d8-4035-b293-6d5c6951667c · outbound

This paper cites Paddleocr.

Step-Video-T2V Technical Report: The Practice, Challenges, and Future of Video Foundation Model Paddleocr

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T08:02:24.558593Z

Source-reported events for the cited work

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

Observation 7daad267-6ed3-44a5-b876-b5cda10d7c8d · outbound

This paper cites an unresolved cited work.

Step-Video-T2V Technical Report: The Practice, Challenges, and Future of Video Foundation Model Unresolved cited work

Reference 47

Resolution: unresolved; raw_fallback, observed 2026-05-19T08:03:01.620226Z

Source-reported events for the cited work

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

Observation 81735cd3-50dd-4f7c-aeb3-0f7bfcfd589a · outbound

This paper cites Diatom autofocusing in brightfield microscopy: a comparative study.

Step-Video-T2V Technical Report: The Practice, Challenges, and Future of Video Foundation Model Diatom autofocusing in brightfield microscopy: a comparative study

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T08:03:01.325066Z

Source-reported events for the cited work

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

Observation 4ff1bcaa-a0ab-43ad-8a6c-765d98a938c5 · outbound

This paper cites Improving image generation with better captions.

Step-Video-T2V Technical Report: The Practice, Challenges, and Future of Video Foundation Model Improving image generation with better captions

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T08:03:01.467523Z

Source-reported events for the cited work

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

Observation 8ebdd587-9a73-4601-9a99-2bb5b964648d · outbound

This paper cites Some methods for classification and analysis of multivariate observations.

Step-Video-T2V Technical Report: The Practice, Challenges, and Future of Video Foundation Model Some methods for classification and analysis of multivariate observations

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T08:03:01.483371Z

Source-reported events for the cited work

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

Observation f61c2c9b-4f03-49ce-a065-2a4b73c8d210 · outbound

This paper cites DSV: Exploiting Dynamic Sparsity to Accelerate Large-Scale Video DiT Training.

Step-Video-T2V Technical Report: The Practice, Challenges, and Future of Video Foundation Model DSV: Exploiting Dynamic Sparsity to Accelerate Large-Scale Video DiT Training

Reference 53

Resolution: verified exact; arxiv_id, observed 2026-05-19T08:02:23.330158Z

Source-reported events for the cited work

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

Observation 34702d07-6542-437e-a503-2fe9521d526b · outbound

This paper cites Diffusion Forcing: Next-token Prediction Meets Full-Sequence Diffusion.

Step-Video-T2V Technical Report: The Practice, Challenges, and Future of Video Foundation Model Diffusion Forcing: Next-token Prediction Meets Full-Sequence Diffusion

Reference 54

Resolution: metadata mismatch; arxiv_id, observed 2026-05-19T08:02:23.338415Z

Source-reported events for the cited work

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

Observation afda7481-5ba0-4838-b530-1711a28a1ee6 · outbound

This paper cites LTX-Video: Realtime Video Latent Diffusion.

Step-Video-T2V Technical Report: The Practice, Challenges, and Future of Video Foundation Model LTX-Video: Realtime Video Latent Diffusion

Reference 55

Resolution: verified exact; local_arxiv, observed 2026-05-19T08:02:23.451641Z

Source-reported events for the cited work

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

Observation 345c7c81-7ca0-4f60-9dcd-030355ebec85 · outbound

This paper cites Taming Teacher Forcing for Masked Autoregressive Video Generation.

Step-Video-T2V Technical Report: The Practice, Challenges, and Future of Video Foundation Model Taming Teacher Forcing for Masked Autoregressive Video Generation

Reference 56

Resolution: verified exact; arxiv_id, observed 2026-05-19T08:02:23.524350Z

Source-reported events for the cited work

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

Observation f6b0c620-dc27-4df5-b667-8f25f95a4d3e · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

Step-Video-T2V Technical Report: The Practice, Challenges, and Future of Video Foundation Model DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 57

Resolution: verified exact; local_arxiv, observed 2026-05-19T08:02:23.544061Z

Source-reported events for the cited work

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

Observation 383236cd-3173-4e19-a441-9fb768e7a307 · outbound

This paper cites 2024 , journal =.

Step-Video-T2V Technical Report: The Practice, Challenges, and Future of Video Foundation Model 2024 , journal =

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T08:03:01.423896Z

Source-reported events for the cited work

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

Observation 6bb8a284-d037-4930-b7bc-82170cd6f73a · outbound

This paper cites 2024 , eprint=.

Step-Video-T2V Technical Report: The Practice, Challenges, and Future of Video Foundation Model 2024 , eprint=

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T08:03:01.500827Z

Source-reported events for the cited work

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

Observation 1e4c5300-0089-4db7-aaf8-9dda2e70d401 · outbound

This paper cites 2024 , eprint=.

Step-Video-T2V Technical Report: The Practice, Challenges, and Future of Video Foundation Model 2024 , eprint=

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T08:03:01.356495Z

Source-reported events for the cited work

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

Observation b2d931d3-ba4b-4117-8aab-26e23e1a1725 · outbound

This paper cites 2025 , eprint=.

Step-Video-T2V Technical Report: The Practice, Challenges, and Future of Video Foundation Model 2025 , eprint=

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T08:03:01.606674Z

Source-reported events for the cited work

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

Observation 56820fb5-a3f8-4e25-8b24-51a84497a81d · outbound

This paper cites Computer Science.

Step-Video-T2V Technical Report: The Practice, Challenges, and Future of Video Foundation Model Computer Science

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T08:03:01.561945Z

Source-reported events for the cited work

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

Observation 04445759-84d1-4007-a6b6-aa4f445b0e57 · outbound

This paper cites 2024 , eprint=.

Step-Video-T2V Technical Report: The Practice, Challenges, and Future of Video Foundation Model 2024 , eprint=

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T08:03:01.280640Z

Source-reported events for the cited work

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

Observation 9e582ab3-6d34-4dbf-b892-555e7ecb7c85 · outbound

This paper cites 2023 , eprint=.

Step-Video-T2V Technical Report: The Practice, Challenges, and Future of Video Foundation Model 2023 , eprint=

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T08:03:01.583393Z

Source-reported events for the cited work

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

Observation ec80df0b-057d-40ac-bd55-801dabc53a30 · outbound

This paper cites 2024 , eprint=.

Step-Video-T2V Technical Report: The Practice, Challenges, and Future of Video Foundation Model 2024 , eprint=

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T08:03:01.618265Z

Source-reported events for the cited work

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

Observation 5ee362d6-1eff-4af4-a14c-8976d9597019 · outbound

This paper cites 2024 , eprint=.

Step-Video-T2V Technical Report: The Practice, Challenges, and Future of Video Foundation Model 2024 , eprint=

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T08:03:01.337535Z

Source-reported events for the cited work

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

Observation 938b2f6f-f49b-42f9-a20e-594e48df9a9c · outbound

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

Step-Video-T2V Technical Report: The Practice, Challenges, and Future of Video Foundation Model CogVideoX: Text-to-Video Diffusion Models with An Expert Transformer

Reference 67

Resolution: metadata mismatch; local_arxiv, observed 2026-05-19T08:02:23.981187Z

Source-reported events for the cited work

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

Observation 208833bf-b0ca-4eef-a99c-11d0bc2de12a · outbound

This paper cites 2024 , url =.

Step-Video-T2V Technical Report: The Practice, Challenges, and Future of Video Foundation Model 2024 , url =

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T08:03:01.546048Z

Source-reported events for the cited work

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

Observation 7475e662-ce52-48f3-97e8-f00428f6dfd3 · outbound

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

Step-Video-T2V Technical Report: The Practice, Challenges, and Future of Video Foundation Model Open-Sora Plan: Open-Source Large Video Generation Model

Reference 69

Resolution: metadata mismatch; local_arxiv, observed 2026-05-19T08:02:23.993679Z

Source-reported events for the cited work

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

Observation c90974cd-bf48-4d76-9ec8-ca9582573bcc · outbound

This paper cites 2025 , eprint=.

Step-Video-T2V Technical Report: The Practice, Challenges, and Future of Video Foundation Model 2025 , eprint=

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T08:03:01.573628Z

Source-reported events for the cited work

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

Observation 9aea7952-175a-49e6-bf36-687b94cbb0c9 · outbound

This paper cites 2024 , journal =.

Step-Video-T2V Technical Report: The Practice, Challenges, and Future of Video Foundation Model 2024 , journal =

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T08:03:01.463370Z

Source-reported events for the cited work

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

Observation bde6ba1a-2c12-43db-a679-a77e55f9fb45 · outbound

This paper cites 2024 , journal =.

Step-Video-T2V Technical Report: The Practice, Challenges, and Future of Video Foundation Model 2024 , journal =

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T08:03:01.553871Z

Source-reported events for the cited work

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

Observation 9e817465-1af0-458a-8e07-2ac2c852c9de · outbound

This paper cites 2024 , journal =.

Step-Video-T2V Technical Report: The Practice, Challenges, and Future of Video Foundation Model 2024 , journal =

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T08:03:01.592156Z

Source-reported events for the cited work

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

Observation c86d4304-38f4-4c2a-8e98-6c088b0c8ca9 · outbound

This paper cites 2024 , journal =.

Step-Video-T2V Technical Report: The Practice, Challenges, and Future of Video Foundation Model 2024 , journal =

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T08:03:01.602775Z

Source-reported events for the cited work

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

Observation ed2c5a0d-8d5a-4d85-948a-e708b64277b1 · outbound

This paper cites 2025 , eprint=.

Step-Video-T2V Technical Report: The Practice, Challenges, and Future of Video Foundation Model 2025 , eprint=

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T08:03:01.351674Z

Source-reported events for the cited work

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

Observation 5cfb6c52-bd07-458c-970a-895d3de02a3e · outbound

This paper cites 2023 , eprint=.

Step-Video-T2V Technical Report: The Practice, Challenges, and Future of Video Foundation Model 2023 , eprint=

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T08:03:01.504512Z

Source-reported events for the cited work

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

Observation 582de9a2-1b1b-41c2-a53b-f398898b442e · outbound

This paper cites and Ilharco, Gabriel and Song, Shuran and Kollar, Thomas and Carmon, Yair and Dave, Achal and Heckel, Reinhard and Muennighoff, Niklas and Schmidt, Ludwig , title=.

Step-Video-T2V Technical Report: The Practice, Challenges, and Future of Video Foundation Model and Ilharco, Gabriel and Song, Shuran and Kollar, Thomas and Carmon, Yair and Dave, Achal and Heckel, Reinhard and Muennighoff, Niklas and Schmidt, Ludwig , title=

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T08:03:01.528514Z

Source-reported events for the cited work

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

Observation 5169f380-c5e0-4def-bdd1-48a43e8457ca · outbound

This paper cites 2023 , eprint=.

Step-Video-T2V Technical Report: The Practice, Challenges, and Future of Video Foundation Model 2023 , eprint=

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T08:03:01.530394Z

Source-reported events for the cited work

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

Observation 05f79cd2-3e60-472a-a480-73b736354cae · outbound

This paper cites PaLM 2 Technical Report.

Step-Video-T2V Technical Report: The Practice, Challenges, and Future of Video Foundation Model PaLM 2 Technical Report

Reference 79

Resolution: metadata mismatch; local_arxiv, observed 2026-05-19T08:02:23.360355Z

Source-reported events for the cited work

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

Observation c6ceac81-6d16-4aeb-98e0-477ea8bbe813 · outbound

This paper cites CCNet: Extracting High Quality Monolingual Datasets from Web Crawl Data.

Step-Video-T2V Technical Report: The Practice, Challenges, and Future of Video Foundation Model CCNet: Extracting High Quality Monolingual Datasets from Web Crawl Data

Reference 80

Resolution: metadata mismatch; arxiv_id, observed 2026-05-19T08:02:23.384376Z

Source-reported events for the cited work

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

Observation f66bfdee-d959-4ca7-9f0a-fdb399b09517 · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

Step-Video-T2V Technical Report: The Practice, Challenges, and Future of Video Foundation Model LLaMA: Open and Efficient Foundation Language Models

Reference 81

Resolution: metadata mismatch; local_arxiv, observed 2026-05-19T08:02:23.391752Z

Source-reported events for the cited work

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

Observation 9a4bdb57-52db-44ba-84ea-5b98a6f043b1 · outbound

This paper cites Mistral 7B.

Step-Video-T2V Technical Report: The Practice, Challenges, and Future of Video Foundation Model Mistral 7B

Reference 82

Resolution: metadata mismatch; local_arxiv, observed 2026-05-19T08:02:23.415092Z

Source-reported events for the cited work

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

Observation cf5eedea-4314-42f7-bb11-311f44ac5782 · outbound

This paper cites The Twelfth International Conference on Learning Representations , year=.

Step-Video-T2V Technical Report: The Practice, Challenges, and Future of Video Foundation Model The Twelfth International Conference on Learning Representations , year=

Reference 83

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T08:03:01.532515Z

Source-reported events for the cited work

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

Observation 42719aa2-0294-4d5b-8abf-a17cc92315af · outbound

This paper cites an unresolved cited work.

Step-Video-T2V Technical Report: The Practice, Challenges, and Future of Video Foundation Model Unresolved cited work

Reference 84

Resolution: unresolved; raw_fallback, observed 2026-05-19T08:03:01.459534Z

Source-reported events for the cited work

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

Observation 52617cc4-a03e-4774-afd0-4e755f00c81d · outbound

This paper cites StarCoder: may the source be with you! , journal =.

Step-Video-T2V Technical Report: The Practice, Challenges, and Future of Video Foundation Model StarCoder: may the source be with you! , journal =

Reference 85

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T08:03:01.561011Z

Source-reported events for the cited work

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

Observation 80514e52-fa1d-47df-a965-6393ddb5fc42 · outbound

This paper cites 2024 , eprint=.

Step-Video-T2V Technical Report: The Practice, Challenges, and Future of Video Foundation Model 2024 , eprint=

Reference 86

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T08:03:01.512343Z

Source-reported events for the cited work

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

Observation 2e8c8a6a-7384-4052-9e62-380090c3f296 · outbound

This paper cites Gemma: Open Models Based on Gemini Research and Technology.

Step-Video-T2V Technical Report: The Practice, Challenges, and Future of Video Foundation Model Gemma: Open Models Based on Gemini Research and Technology

Reference 87

Resolution: metadata mismatch; local_arxiv, observed 2026-05-19T08:02:23.571195Z

Source-reported events for the cited work

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

Observation 20f033f6-595f-4f2b-9f65-8e88f1537a10 · outbound

This paper cites Qwen Technical Report.

Step-Video-T2V Technical Report: The Practice, Challenges, and Future of Video Foundation Model Qwen Technical Report

Reference 88

Resolution: metadata mismatch; local_arxiv, observed 2026-05-19T08:02:23.578432Z

Source-reported events for the cited work

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

Observation f8a02304-ef88-4a23-a199-55336e0b03dd · outbound

This paper cites an unresolved cited work.

Step-Video-T2V Technical Report: The Practice, Challenges, and Future of Video Foundation Model Unresolved cited work

Reference 89

Resolution: unresolved; raw_fallback, observed 2026-05-19T08:03:01.470987Z

Source-reported events for the cited work

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

Observation c1a9ab32-f2c9-404c-a30e-e0f51168c90c · outbound

This paper cites Microsoft Research Blog , year=.

Step-Video-T2V Technical Report: The Practice, Challenges, and Future of Video Foundation Model Microsoft Research Blog , year=

Reference 90

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T08:03:01.556415Z

Source-reported events for the cited work

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

Observation 375cea56-7ee4-46c8-8e7d-f8386e8f1a49 · outbound

This paper cites DeepSeek LLM: Scaling Open-Source Language Models with Longtermism.

Step-Video-T2V Technical Report: The Practice, Challenges, and Future of Video Foundation Model DeepSeek LLM: Scaling Open-Source Language Models with Longtermism

Reference 91

Resolution: metadata mismatch; local_arxiv, observed 2026-05-19T08:02:23.605506Z

Source-reported events for the cited work

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

Observation 2c5cd385-a1f4-4238-929f-7be6eae0d30b · outbound

This paper cites Code Llama: Open Foundation Models for Code.

Step-Video-T2V Technical Report: The Practice, Challenges, and Future of Video Foundation Model Code Llama: Open Foundation Models for Code

Reference 92

Resolution: metadata mismatch; local_arxiv, observed 2026-05-19T08:02:23.611249Z

Source-reported events for the cited work

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

Observation d37b6d8b-f2e7-4ca1-8e66-2b13acfb6b95 · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

Step-Video-T2V Technical Report: The Practice, Challenges, and Future of Video Foundation Model Advances in Neural Information Processing Systems , volume=

Reference 93

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T08:03:01.536557Z

Source-reported events for the cited work

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

Observation 4f79123f-43bb-42fb-a6e8-7b6ada5e23df · outbound

This paper cites Llemma: An Open Language Model For Mathematics.

Step-Video-T2V Technical Report: The Practice, Challenges, and Future of Video Foundation Model Llemma: An Open Language Model For Mathematics

Reference 94

Resolution: metadata mismatch; arxiv_id, observed 2026-05-19T08:17:47.048289Z

Source-reported events for the cited work

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

Observation 3179ab27-421d-4ecb-b699-ce7525ad7db8 · outbound

This paper cites InternLM-Math: Open Math Large Language Models Toward Verifiable Reasoning.

Step-Video-T2V Technical Report: The Practice, Challenges, and Future of Video Foundation Model InternLM-Math: Open Math Large Language Models Toward Verifiable Reasoning

Reference 95

Resolution: metadata mismatch; arxiv_id, observed 2026-05-19T08:02:23.699532Z

Source-reported events for the cited work

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

Observation d4b983ec-f9d8-4e09-9f41-7173e8d0315d · outbound

This paper cites Let's Verify Step by Step.

Step-Video-T2V Technical Report: The Practice, Challenges, and Future of Video Foundation Model Let's Verify Step by Step

Reference 96

Resolution: metadata mismatch; local_arxiv, observed 2026-05-19T08:02:23.712669Z

Source-reported events for the cited work

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

Observation ed18654e-3653-4deb-b6da-9f7ac6f729de · outbound

This paper cites The Twelfth International Conference on Learning Representations , year=.

Step-Video-T2V Technical Report: The Practice, Challenges, and Future of Video Foundation Model The Twelfth International Conference on Learning Representations , year=

Reference 97

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T08:03:01.419752Z

Source-reported events for the cited work

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

Observation 9f330a17-c10e-487b-8698-8375c9dbe106 · outbound

This paper cites Large-scale Dataset Pruning with Dynamic Uncertainty.

Step-Video-T2V Technical Report: The Practice, Challenges, and Future of Video Foundation Model Large-scale Dataset Pruning with Dynamic Uncertainty

Reference 98

Resolution: verified exact; arxiv_id, observed 2026-05-19T08:02:23.727730Z

Source-reported events for the cited work

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

Observation d345aa5e-0f29-4cda-83f2-4a05c6132b5c · outbound

This paper cites NIPS , volume=.

Step-Video-T2V Technical Report: The Practice, Challenges, and Future of Video Foundation Model NIPS , volume=

Reference 99

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T08:03:01.438254Z

Source-reported events for the cited work

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

Observation 755a65f1-c9ee-420e-b1de-c12ed84ad7d4 · outbound

This paper cites From Quantity to Quality: Boosting LLM Performance with Self-Guided Data Selection for Instruction Tuning.

Step-Video-T2V Technical Report: The Practice, Challenges, and Future of Video Foundation Model From Quantity to Quality: Boosting LLM Performance with Self-Guided Data Selection for Instruction Tuning

Reference 100

Resolution: verified exact; arxiv_id, observed 2026-05-19T08:02:23.882285Z

Source-reported events for the cited work

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

Observation e19c190a-a269-4b39-bc60-e79be703cff5 · outbound

This paper cites One-Shot Learning as Instruction Data Prospector for Large Language Models.

Step-Video-T2V Technical Report: The Practice, Challenges, and Future of Video Foundation Model One-Shot Learning as Instruction Data Prospector for Large Language Models

Reference 101

Resolution: verified exact; arxiv_id, observed 2026-05-19T08:02:23.902576Z

Source-reported events for the cited work

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

Observation 0b3012be-c414-4d6c-81bb-f3c4215a930a · outbound

This paper cites Self-Evolved Diverse Data Sampling for Efficient Instruction Tuning.

Step-Video-T2V Technical Report: The Practice, Challenges, and Future of Video Foundation Model Self-Evolved Diverse Data Sampling for Efficient Instruction Tuning

Reference 102

Resolution: metadata mismatch; arxiv_id, observed 2026-05-19T08:02:23.909152Z

Source-reported events for the cited work

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

Observation 510cf5ae-db2d-4c7d-a76b-282746e4a2eb · outbound

This paper cites ICLR , year=.

Step-Video-T2V Technical Report: The Practice, Challenges, and Future of Video Foundation Model ICLR , year=

Reference 103

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T08:03:01.599136Z

Source-reported events for the cited work

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

Observation 85d0480e-642e-47a8-86f7-1f6c1e09f8b1 · outbound

This paper cites ICLR , year=.

Step-Video-T2V Technical Report: The Practice, Challenges, and Future of Video Foundation Model ICLR , year=

Reference 104

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T08:03:01.600880Z

Source-reported events for the cited work

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

Pith citing papers

Observation 44c1afa1-920b-4ea5-98cf-fd32047b824f · inbound

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

Wan: Open and Advanced Large-Scale Video Generative Models Step-Video-T2V Technical Report: The Practice, Challenges, and Future of Video Foundation Model

Reference 33

Resolution: verified exact; local_arxiv, observed 2026-05-22T23:07:14.457899Z

Source-reported events for the cited work

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

Observation 31dcae6c-86f1-42e0-880c-09d71cdcfaf0 · inbound

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

VBench-2.0: Advancing Video Generation Benchmark Suite for Intrinsic Faithfulness Step-Video-T2V Technical Report: The Practice, Challenges, and Future of Video Foundation Model

Reference 62

Resolution: verified exact; arxiv_id, observed 2026-05-19T08:02:24.560574Z

Source-reported events for the cited work

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

Observation eed6a369-57ed-43b2-a4a0-53823b0bb2fe · inbound

MAGI-1: Autoregressive Video Generation at Scale cites this paper.

MAGI-1: Autoregressive Video Generation at Scale Step-Video-T2V Technical Report: The Practice, Challenges, and Future of Video Foundation Model

Reference 30

Resolution: verified exact; arxiv_id, observed 2026-05-19T08:02:24.560574Z

Source-reported events for the cited work

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

Observation 0d4a097e-ebf6-431b-9307-90e7333825a0 · inbound

GenHSI: Controllable Generation of Human-Scene Interaction Videos cites this paper.

GenHSI: Controllable Generation of Human-Scene Interaction Videos Step-Video-T2V Technical Report: The Practice, Challenges, and Future of Video Foundation Model

Reference 61

Resolution: verified exact; arxiv_id, observed 2026-05-19T08:02:24.560574Z

Source-reported events for the cited work

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

Observation 6b1207d8-4f4c-4907-b48b-14a385e92439 · inbound

Listener-Rewarded Thinking in VLMs for Image Preferences cites this paper.

Listener-Rewarded Thinking in VLMs for Image Preferences Step-Video-T2V Technical Report: The Practice, Challenges, and Future of Video Foundation Model

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-05-19T08:02:24.560574Z

Source-reported events for the cited work

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

Observation 8802044d-ba60-45f8-967f-f8ae9eaab0df · inbound

Waver: Wave Your Way to Lifelike Video Generation cites this paper.

Waver: Wave Your Way to Lifelike Video Generation Step-Video-T2V Technical Report: The Practice, Challenges, and Future of Video Foundation Model

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-05T17:45:17.186768Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 566e6d69-9a7f-4b12-a148-f183e1019dc6 · inbound

UniVerse-1: Unified Audio-Video Generation via Stitching of Experts cites this paper.

UniVerse-1: Unified Audio-Video Generation via Stitching of Experts Step-Video-T2V Technical Report: The Practice, Challenges, and Future of Video Foundation Model

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-05T00:05:47.622882Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e5445f7e-d9e2-48ea-89bf-662cbd1b64c2 · inbound

RewardDance: Reward Scaling in Visual Generation cites this paper.

RewardDance: Reward Scaling in Visual Generation Step-Video-T2V Technical Report: The Practice, Challenges, and Future of Video Foundation Model

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-04T20:08:58.832391Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 70974366-1796-44bb-9adf-73557c0f3467 · inbound

Improving Video Diffusion Transformer Training by Multi-Feature Fusion and Alignment from Self-Supervised Vision Encoders cites this paper.

Improving Video Diffusion Transformer Training by Multi-Feature Fusion and Alignment from Self-Supervised Vision Encoders Step-Video-T2V Technical Report: The Practice, Challenges, and Future of Video Foundation Model

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-04T18:58:10.953460Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b966e68f-0b2e-4e8e-af02-c24edfaacfdd · inbound

Enhancing Physical Plausibility in Video Generation by Reasoning the Implausibility cites this paper.

Enhancing Physical Plausibility in Video Generation by Reasoning the Implausibility Step-Video-T2V Technical Report: The Practice, Challenges, and Future of Video Foundation Model

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-19T08:02:24.560574Z

Source-reported events for the cited work

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

Observation 8a4bf5bb-9ddc-4ecb-9c1e-0b0b518987e1 · inbound

UniVideo: Unified Understanding, Generation, and Editing for Videos cites this paper.

UniVideo: Unified Understanding, Generation, and Editing for Videos Step-Video-T2V Technical Report: The Practice, Challenges, and Future of Video Foundation Model

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-04T10:49:48.658757Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e52145d8-551f-44ff-963f-decce4ea2148 · inbound

HunyuanVideo 1.5 Technical Report cites this paper.

HunyuanVideo 1.5 Technical Report Step-Video-T2V Technical Report: The Practice, Challenges, and Future of Video Foundation Model

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-19T08:02:24.560574Z

Source-reported events for the cited work

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

Observation 78382ff9-3617-408b-b8a7-f2b23c649fe4 · inbound

Delving into Latent Spectral Biasing of Video VAEs for Superior Diffusability cites this paper.

Delving into Latent Spectral Biasing of Video VAEs for Superior Diffusability Step-Video-T2V Technical Report: The Practice, Challenges, and Future of Video Foundation Model

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-03T18:25:55.724129Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 58b1a2bb-31ae-4566-bf77-29274feb2d93 · inbound

VideoASMR-Bench: Can AI-Generated ASMR Videos Fool VLMs and Humans? cites this paper.

VideoASMR-Bench: Can AI-Generated ASMR Videos Fool VLMs and Humans? Step-Video-T2V Technical Report: The Practice, Challenges, and Future of Video Foundation Model

Reference 30

Resolution: verified exact; arxiv_id, observed 2026-05-19T08:02:24.560574Z

Source-reported events for the cited work

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

Observation 98638ac3-139f-431d-9cf9-f47b4921b9ca · inbound

Self-transcendence: Is External Feature Guidance Indispensable for Accelerating Diffusion Transformer Training? cites this paper.

Self-transcendence: Is External Feature Guidance Indispensable for Accelerating Diffusion Transformer Training? Step-Video-T2V Technical Report: The Practice, Challenges, and Future of Video Foundation Model

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-03T11:04:32.252418Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6c7e2aae-f7a7-4913-91ca-698675b9abf6 · inbound

Beyond Rigid: Benchmarking Non-Rigid Video Editing cites this paper.

Beyond Rigid: Benchmarking Non-Rigid Video Editing Step-Video-T2V Technical Report: The Practice, Challenges, and Future of Video Foundation Model

Reference 379

Resolution: unresolved; no resolver link, observed 2026-08-03T08:04:51.652932Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9edbeec9-48e9-47c3-9ad7-030279c654b5 · inbound

CG-MLLM: Captioning and Generating 3D content via Multi-modal Large Language Models cites this paper.

CG-MLLM: Captioning and Generating 3D content via Multi-modal Large Language Models Step-Video-T2V Technical Report: The Practice, Challenges, and Future of Video Foundation Model

Reference 37

Resolution: metadata mismatch; local_arxiv, observed 2026-05-21T14:50:14.801537Z

Source-reported events for the cited work

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

Observation 9deb6519-0c9e-448f-bdd1-1f7fa87fdf40 · inbound

SynthForensics: Benchmarking and Evaluating People-Centric Synthetic Video Deepfakes cites this paper.

SynthForensics: Benchmarking and Evaluating People-Centric Synthetic Video Deepfakes Step-Video-T2V Technical Report: The Practice, Challenges, and Future of Video Foundation Model

Reference 38

Resolution: verified exact; arxiv_id, observed 2026-05-19T08:02:24.560574Z

Source-reported events for the cited work

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

Observation 9c7ac717-3e3a-48fb-9ebb-72ff1e99671f · inbound

EchoTorrent: Towards Swift, Sustained, and Streaming Multi-Modal Video Generation cites this paper.

EchoTorrent: Towards Swift, Sustained, and Streaming Multi-Modal Video Generation Step-Video-T2V Technical Report: The Practice, Challenges, and Future of Video Foundation Model

Reference 60

Resolution: verified exact; arxiv_id, observed 2026-05-19T08:02:24.560574Z

Source-reported events for the cited work

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

Observation 5112e65a-e406-4eb6-865b-585573014806 · inbound

Event-Driven Video Generation cites this paper.

Event-Driven Video Generation Step-Video-T2V Technical Report: The Practice, Challenges, and Future of Video Foundation Model

Reference 17

Resolution: unresolved; no resolver link, observed 2026-07-14T22:56:23.337858Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 11af68b9-8d46-46fb-895f-0186e44043c4 · inbound

ActionParty: Multi-Subject Action Binding in Generative Video Games cites this paper.

ActionParty: Multi-Subject Action Binding in Generative Video Games Step-Video-T2V Technical Report: The Practice, Challenges, and Future of Video Foundation Model

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-03T00:56:28.335209Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 45280eac-eeb0-46f0-856c-4213cafa5701 · inbound

Evolution of Video Generative Foundations cites this paper.

Evolution of Video Generative Foundations Step-Video-T2V Technical Report: The Practice, Challenges, and Future of Video Foundation Model

Reference 82

Resolution: verified exact; arxiv_id, observed 2026-05-19T08:02:24.560574Z

Source-reported events for the cited work

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

Observation a0c1f447-6ba6-4461-a89f-a9e5ca911a87 · inbound

Efficient Video Diffusion Models: Advancements and Challenges cites this paper.

Efficient Video Diffusion Models: Advancements and Challenges Step-Video-T2V Technical Report: The Practice, Challenges, and Future of Video Foundation Model

Reference 100

Resolution: verified exact; arxiv_id, observed 2026-05-19T08:02:24.560574Z

Source-reported events for the cited work

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

Observation 6616cf1e-aa88-4c11-b187-2035ae3fb2cb · inbound

Motif-Video 2B: Technical Report cites this paper.

Motif-Video 2B: Technical Report Step-Video-T2V Technical Report: The Practice, Challenges, and Future of Video Foundation Model

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-05-19T08:02:24.560574Z

Source-reported events for the cited work

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

Observation 5e529286-57be-4923-bc51-63bd9064b1ce · inbound

Motif-Video 2B: Technical Report cites this paper.

Motif-Video 2B: Technical Report Step-Video-T2V Technical Report: The Practice, Challenges, and Future of Video Foundation Model

Reference 24

Resolution: verified exact; local_arxiv, observed 2026-05-21T00:13:53.097527Z

Source-reported events for the cited work

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

Observation ce6aff6d-cd09-4797-8266-a6ec2589d1e2 · inbound

DreamShot: Personalized Storyboard Synthesis with Video Diffusion Prior cites this paper.

DreamShot: Personalized Storyboard Synthesis with Video Diffusion Prior Step-Video-T2V Technical Report: The Practice, Challenges, and Future of Video Foundation Model

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-05-19T08:02:24.560574Z

Source-reported events for the cited work

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

Observation f55539d9-13c8-43c1-9ab3-87e8da5cf939 · inbound

Leveraging Verifier-Based Reinforcement Learning in Image Editing cites this paper.

Leveraging Verifier-Based Reinforcement Learning in Image Editing Step-Video-T2V Technical Report: The Practice, Challenges, and Future of Video Foundation Model

Reference 38

Resolution: verified exact; arxiv_id, observed 2026-05-19T08:02:24.560574Z

Source-reported events for the cited work

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

Observation 87934217-edb9-465f-930d-db6142090418 · inbound

Leveraging Verifier-Based Reinforcement Learning in Image Editing cites this paper.

Leveraging Verifier-Based Reinforcement Learning in Image Editing Step-Video-T2V Technical Report: The Practice, Challenges, and Future of Video Foundation Model

Reference 38

Resolution: verified exact; local_arxiv, observed 2026-05-21T09:14:05.928718Z

Source-reported events for the cited work

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

Observation 0ce52856-1c69-46a6-804b-832e1d875b22 · inbound

Offline Preference Optimization for Rectified Flow with Noise-Tracked Pairs cites this paper.

Offline Preference Optimization for Rectified Flow with Noise-Tracked Pairs Step-Video-T2V Technical Report: The Practice, Challenges, and Future of Video Foundation Model

Reference 29

Resolution: verified exact; arxiv_id, observed 2026-05-19T08:02:24.560574Z

Source-reported events for the cited work

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

Observation 84501807-5c5d-40ce-ab05-21253e441eaf · inbound

Qwen-Image-2.0 Technical Report cites this paper.

Qwen-Image-2.0 Technical Report Step-Video-T2V Technical Report: The Practice, Challenges, and Future of Video Foundation Model

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-05-19T08:02:24.560574Z

Source-reported events for the cited work

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

Observation 01c147af-d55c-4188-99ee-759ec01aca87 · inbound

HorizonDrive: Self-Corrective Autoregressive World Model for Long-horizon Driving Simulation cites this paper.

HorizonDrive: Self-Corrective Autoregressive World Model for Long-horizon Driving Simulation Step-Video-T2V Technical Report: The Practice, Challenges, and Future of Video Foundation Model

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-05-19T08:02:24.560574Z

Source-reported events for the cited work

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

Observation d427552a-f2fe-4715-a1fb-3be5be616e75 · inbound

HorizonDrive: Self-Corrective Autoregressive World Model for Long-horizon Driving Simulation cites this paper.

HorizonDrive: Self-Corrective Autoregressive World Model for Long-horizon Driving Simulation Step-Video-T2V Technical Report: The Practice, Challenges, and Future of Video Foundation Model

Reference 14

Resolution: verified exact; local_arxiv, observed 2026-05-25T06:35:24.933805Z

Source-reported events for the cited work

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

Observation 9a1d3f35-bb45-4a63-9302-acba56d47bde · inbound

Qwen-Image-VAE-2.0 Technical Report cites this paper.

Qwen-Image-VAE-2.0 Technical Report Step-Video-T2V Technical Report: The Practice, Challenges, and Future of Video Foundation Model

Reference 12

Resolution: metadata mismatch; arxiv_id, observed 2026-05-19T08:02:24.560574Z

Source-reported events for the cited work

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

Observation 658e9d79-8cae-437e-943c-f6038e0cc3e8 · inbound

HASTE: Training-Free Video Diffusion Acceleration via Head-Wise Adaptive Sparse Attention cites this paper.

HASTE: Training-Free Video Diffusion Acceleration via Head-Wise Adaptive Sparse Attention Step-Video-T2V Technical Report: The Practice, Challenges, and Future of Video Foundation Model

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-05-19T08:02:24.560574Z

Source-reported events for the cited work

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

Observation b95885bf-e0f8-4cda-a132-16357f26e81a · inbound

MechVerse: Evaluating Physical Motion Consistency in Video Generation Models cites this paper.

MechVerse: Evaluating Physical Motion Consistency in Video Generation Models Step-Video-T2V Technical Report: The Practice, Challenges, and Future of Video Foundation Model

Reference 25

Resolution: verified exact; local_arxiv, observed 2026-07-01T14:25:46.377582Z

Source-reported events for the cited work

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

Observation bca9dbe6-be37-4f29-ad2b-7996904c7f08 · inbound

RAVEN: Real-time Autoregressive Video Extrapolation with Consistency-model GRPO cites this paper.

RAVEN: Real-time Autoregressive Video Extrapolation with Consistency-model GRPO Step-Video-T2V Technical Report: The Practice, Challenges, and Future of Video Foundation Model

Reference 8

Resolution: verified exact; local_arxiv, observed 2026-07-01T14:35:47.172418Z

Source-reported events for the cited work

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

Observation ecead28d-b9d4-4590-ab41-ecf0a83832a6 · inbound

AtlasVid: Efficient Ultra-High-Resolution Long Video Generation via Decoupled Global-Local Modeling cites this paper.

AtlasVid: Efficient Ultra-High-Resolution Long Video Generation via Decoupled Global-Local Modeling Step-Video-T2V Technical Report: The Practice, Challenges, and Future of Video Foundation Model

Reference 15

Resolution: verified exact; local_arxiv, observed 2026-05-20T18:28:53.009080Z

Source-reported events for the cited work

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

Observation 58ef28cc-f69a-4fb4-82e9-fea7321a3ea3 · inbound

Lance: Unified Multimodal Modeling by Multi-Task Synergy cites this paper.

Lance: Unified Multimodal Modeling by Multi-Task Synergy Step-Video-T2V Technical Report: The Practice, Challenges, and Future of Video Foundation Model

Reference 79

Resolution: verified exact; local_arxiv, observed 2026-05-20T11:48:14.937697Z

Source-reported events for the cited work

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

Observation 8e42cb5d-e659-4374-9e79-958876ff0e86 · inbound

Lance: Unified Multimodal Modeling by Multi-Task Synergy cites this paper.

Lance: Unified Multimodal Modeling by Multi-Task Synergy Step-Video-T2V Technical Report: The Practice, Challenges, and Future of Video Foundation Model

Reference 80

Resolution: verified exact; local_arxiv, observed 2026-05-21T07:59:50.631393Z

Source-reported events for the cited work

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

Observation 9f8f8f6d-c0f6-41ad-a266-038ebbde8907 · inbound

Bernini: Latent Semantic Planning for Video Diffusion cites this paper.

Bernini: Latent Semantic Planning for Video Diffusion Step-Video-T2V Technical Report: The Practice, Challenges, and Future of Video Foundation Model

Reference 49

Resolution: verified exact; local_arxiv, observed 2026-05-22T06:41:10.495860Z

Source-reported events for the cited work

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

Observation 52033316-44b7-4c17-9bb6-4103ef7e26a0 · inbound

Future Forcing: Future-aware Training-free KV Cache Policy for Autoregressive Video Generation cites this paper.

Future Forcing: Future-aware Training-free KV Cache Policy for Autoregressive Video Generation Step-Video-T2V Technical Report: The Practice, Challenges, and Future of Video Foundation Model

Reference 26

Resolution: verified exact; local_arxiv, observed 2026-06-29T08:33:15.136397Z

Source-reported events for the cited work

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

Observation 2003d70b-23fc-4d66-9163-b9d369efd0a3 · inbound

Veda: Scalable Video Diffusion via Distilled Sparse Attention cites this paper.

Veda: Scalable Video Diffusion via Distilled Sparse Attention Step-Video-T2V Technical Report: The Practice, Challenges, and Future of Video Foundation Model

Reference 15

Resolution: verified exact; local_arxiv, observed 2026-06-29T08:03:14.707775Z

Source-reported events for the cited work

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

Observation bfa28da5-434f-435f-acdd-876ba781297a · inbound

Diffusing in the Right Space: A Systematic Study of Latent Diffusability cites this paper.

Diffusing in the Right Space: A Systematic Study of Latent Diffusability Step-Video-T2V Technical Report: The Practice, Challenges, and Future of Video Foundation Model

Reference 10

Resolution: metadata mismatch; local_arxiv, observed 2026-07-02T02:36:27.627576Z

Source-reported events for the cited work

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

Observation 5b87e6b5-7b92-4ffb-b7bc-59df73892939 · inbound

ARGUS: Stacked Multi-View Identity Mosaic Injection for Subject-Preserving Video Generation cites this paper.

ARGUS: Stacked Multi-View Identity Mosaic Injection for Subject-Preserving Video Generation Step-Video-T2V Technical Report: The Practice, Challenges, and Future of Video Foundation Model

Reference 46

Resolution: verified exact; local_arxiv, observed 2026-07-03T08:17:45.965420Z

Source-reported events for the cited work

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

Observation be1cef6d-5305-4b0b-8ec0-2c394241452d · inbound

PhysRAG: Enhancing Physics-Awareness in Video Generation via Retrieval-Augmented Generation cites this paper.

PhysRAG: Enhancing Physics-Awareness in Video Generation via Retrieval-Augmented Generation Step-Video-T2V Technical Report: The Practice, Challenges, and Future of Video Foundation Model

Reference 46

Resolution: verified exact; local_arxiv, observed 2026-07-04T13:19:51.099723Z

Source-reported events for the cited work

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

Observation 49a440ee-1c15-421f-aa6d-ff5c44ac9f06 · inbound

Bridging Video Understanding and Generation in a Unified Framework cites this paper.

Bridging Video Understanding and Generation in a Unified Framework Step-Video-T2V Technical Report: The Practice, Challenges, and Future of Video Foundation Model

Reference 38

Resolution: verified exact; local_arxiv, observed 2026-07-01T10:05:40.323766Z

Source-reported events for the cited work

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

Observation 48e00456-ad5a-47f8-9b9c-604d58d01147 · inbound

Ink3D: Sculpting 3D Assets with Extremely Complex Textures via Video Generative Models cites this paper.

Ink3D: Sculpting 3D Assets with Extremely Complex Textures via Video Generative Models Step-Video-T2V Technical Report: The Practice, Challenges, and Future of Video Foundation Model

Reference 37

Resolution: metadata mismatch; local_arxiv, observed 2026-07-02T13:16:58.114308Z

Source-reported events for the cited work

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

Observation 87c8e050-6a90-45cb-9540-c7003dc306b4 · inbound

Arachne: Orchestrating Cascades for Efficient Text-to-Video Model Training cites this paper.

Arachne: Orchestrating Cascades for Efficient Text-to-Video Model Training Step-Video-T2V Technical Report: The Practice, Challenges, and Future of Video Foundation Model

Reference 44

Resolution: verified exact; local_arxiv, observed 2026-07-03T06:37:42.051191Z

Source-reported events for the cited work

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

Observation a949b09d-e383-4613-8c74-1d71f7095a61 · inbound

AlayaWorld: Long-Horizon and Playable Video World Generation cites this paper.

AlayaWorld: Long-Horizon and Playable Video World Generation Step-Video-T2V Technical Report: The Practice, Challenges, and Future of Video Foundation Model

Reference 43

Resolution: verified exact; local_arxiv, observed 2026-07-08T10:54:49.302808Z

Source-reported events for the cited work

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

Observation 3b0ab594-a380-4434-8d80-9a12d2a319ca · inbound

Kaleido: Algorithm-Hardware Co-Design for Video Diffusion Transformers by Exploiting Latent Space Correlations cites this paper.

Kaleido: Algorithm-Hardware Co-Design for Video Diffusion Transformers by Exploiting Latent Space Correlations Step-Video-T2V Technical Report: The Practice, Challenges, and Future of Video Foundation Model

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-02T03:51:49.407043Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4199c132-968a-48cf-9678-9358b7234195 · inbound

DiTango: Cost-Effective Parallel Diffusion Generation with Selective Attention State Reuse cites this paper.

DiTango: Cost-Effective Parallel Diffusion Generation with Selective Attention State Reuse Step-Video-T2V Technical Report: The Practice, Challenges, and Future of Video Foundation Model

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-01T22:45:27.121517Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 377abb5b-dc37-4e3c-acf3-546a995b061c · inbound

Multi-Dimensional Quality Assessment for AI-Generated Human-Centric Videos: Dataset and Model cites this paper.

Multi-Dimensional Quality Assessment for AI-Generated Human-Centric Videos: Dataset and Model Step-Video-T2V Technical Report: The Practice, Challenges, and Future of Video Foundation Model

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-01T20:07:44.492273Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation da3bfc9d-02b5-4098-9c30-bb6e38287aa2 · inbound

HarmoHOI: Harmonizing Appearance and 3D Motion for Multi-view Hand-Object Interaction Synthesis cites this paper.

HarmoHOI: Harmonizing Appearance and 3D Motion for Multi-view Hand-Object Interaction Synthesis Step-Video-T2V Technical Report: The Practice, Challenges, and Future of Video Foundation Model

Reference 124

Resolution: unresolved; no resolver link, observed 2026-08-01T19:06:40.851302Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3f4ba15e-323c-462c-bc24-32f845b45eeb · inbound

ABot-World-0: Infinite Interactive World Rollout on a Single Desktop GPU cites this paper.

ABot-World-0: Infinite Interactive World Rollout on a Single Desktop GPU Step-Video-T2V Technical Report: The Practice, Challenges, and Future of Video Foundation Model

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-01T13:16:13.928886Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fb4d8cc3-cee3-48df-a927-b53def6cf275 · inbound

VideoCoCo: Code-as-CoT for Physically-Consistent Video Generation via an Agentic Dual-Engine System cites this paper.

VideoCoCo: Code-as-CoT for Physically-Consistent Video Generation via an Agentic Dual-Engine System Step-Video-T2V Technical Report: The Practice, Challenges, and Future of Video Foundation Model

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-01T08:28:03.582314Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d08a136b-85b4-4c8a-a2c8-25ec90a6b775 · inbound

Retrieval-Driven Training-Free AI-Generated Video Attribution cites this paper.

Retrieval-Driven Training-Free AI-Generated Video Attribution Step-Video-T2V Technical Report: The Practice, Challenges, and Future of Video Foundation Model

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-03T16:36:47.838947Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.