Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-05-11T12:09:56.836351Z
Paper Citation Record · LEDGER
As of 6 August 2026, this Paper Citation Record lists 35 of 35 outbound references and 100 inbound Pith citation observations for arXiv:2506.09113.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-05-11T12:09:56.836351Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-05T21:04:45.597865Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-05T02:28:24.338817Z
35 of 35 outbound references displayed
External citation measurements
0
pith, observed 2026-08-05T02:28:24.338817Z
Observation f1a92246-6b1e-4b23-986f-10426f510a19 · outbound
Seedance 1.0: Exploring the Boundaries of Video Generation Models artificialanalysis
Reference 1
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation d5c09267-a97f-477a-957f-defd9962a2c4 · outbound
Seedance 1.0: Exploring the Boundaries of Video Generation Models Unresolved cited work
Reference 2
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation e581bb8f-9955-4ae9-b349-8eeb4957183d · outbound
Seedance 1.0: Exploring the Boundaries of Video Generation Models Deep Compression Autoencoder for Efficient High-Resolution Diffusion Models
Reference 3
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation e29c714d-200d-4749-9371-a7b25f9b8bd6 · outbound
Seedance 1.0: Exploring the Boundaries of Video Generation Models Control-a-video: Controllable text-to-video generation with diffusion models.arXiv e-prints, pages arXiv–2305
Reference 4
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 69695444-88fc-4740-ab88-07e534daa587 · outbound
Seedance 1.0: Exploring the Boundaries of Video Generation Models Scaling rectified flow transformers for high-resolution image synthesis
Reference 5
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation fe535cf5-5248-4b4c-9bed-a0d2e31fafea · outbound
Seedance 1.0: Exploring the Boundaries of Video Generation Models Seedream 3.0 Technical Report
Reference 6
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 92c5a32b-915c-43dd-9291-7c9f3b31253b · outbound
Seedance 1.0: Exploring the Boundaries of Video Generation Models Factorizing text-to-video generation by explicit image conditioning
Reference 7
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 7108a905-1b76-480a-bd92-91ea810d679f · outbound
Seedance 1.0: Exploring the Boundaries of Video Generation Models Seedream 2.0: A Native Chinese-English Bilingual Image Generation Foundation Model
Reference 8
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation f7dcf032-3a38-4c2d-ac4b-43df9576d2bc · outbound
Seedance 1.0: Exploring the Boundaries of Video Generation Models Long Context Tuning for Video Generation
Reference 9
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 26c8dadb-7c13-4d0f-8dc1-499a10b12339 · outbound
Seedance 1.0: Exploring the Boundaries of Video Generation Models Lora: Low-rank adaptation of large language models.ICLR, 1(2):3
Reference 10
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation ef36fcb5-f384-4551-8065-5c7526039e61 · outbound
Seedance 1.0: Exploring the Boundaries of Video Generation Models Unresolved cited work
Reference 11
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 053664a5-330c-4340-9721-fcd8627a4400 · outbound
Seedance 1.0: Exploring the Boundaries of Video Generation Models DeepSpeed Ulysses: System Optimizations for Enabling Training of Extreme Long Sequence Transformer Models
Reference 12
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 72f5374e-f3bb-4e4e-a52b-f8e3776384a8 · outbound
Seedance 1.0: Exploring the Boundaries of Video Generation Models Prompt-A-Video: Prompt Your Video Diffusion Model via Preference-Aligned LLM
Reference 13
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation c79c220c-83ff-4676-b612-e246647825a0 · outbound
Seedance 1.0: Exploring the Boundaries of Video Generation Models Auto-Encoding Variational Bayes
Reference 14
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation f286e790-868a-4b31-baf7-0838d7eb9f09 · outbound
Seedance 1.0: Exploring the Boundaries of Video Generation Models HunyuanVideo: A Systematic Framework For Large Video Generative Models
Reference 15
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation f52f8de2-5f01-4d6b-bbc9-4c4d80d2c807 · outbound
Seedance 1.0: Exploring the Boundaries of Video Generation Models Diffusion adversarial post-training for one-step video generation
Reference 16
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation ca28bb87-9f77-4e77-a05c-0c48ba78a4a6 · outbound
Seedance 1.0: Exploring the Boundaries of Video Generation Models Flow-GRPO: Training Flow Matching Models via Online RL
Reference 17
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation ef031a42-e020-4935-a8ff-b0211f96f8d5 · outbound
Seedance 1.0: Exploring the Boundaries of Video Generation Models Improving Video Generation with Human Feedback
Reference 18
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 03067ae0-5c1f-44e7-be85-52e9097d8ec5 · outbound
Seedance 1.0: Exploring the Boundaries of Video Generation Models Ray: A distributed framework for emerging{AI} applications
Reference 19
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 8bbe251c-8baf-4b10-8d91-703253aa13f8 · outbound
Seedance 1.0: Exploring the Boundaries of Video Generation Models Scalable diffusion models with transformers
Reference 20
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 627c0c88-7315-4960-a0e9-a01b51421f93 · outbound
Seedance 1.0: Exploring the Boundaries of Video Generation Models Direct preference optimization: Your language model is secretly a reward model.Advancesin Neural Information Processing Systems, 36:53728–53741
Reference 21
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation efe84ecd-8df1-4d56-b8a8-84bd72039b03 · outbound
Seedance 1.0: Exploring the Boundaries of Video Generation Models Hyper-sd: Trajectory segmented consistency model for efficient image synthesis.Advancesin Neural Information Processing Systems, 37:117340–117362
Reference 22
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 87a5b848-c908-403a-bccf-86617a6b0b49 · outbound
Seedance 1.0: Exploring the Boundaries of Video Generation Models High-resolution image synthesis with latent diffusion models
Reference 23
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation c4ccb7b5-f4c3-41b0-ba6d-ad1f01aa7b90 · outbound
Seedance 1.0: Exploring the Boundaries of Video Generation Models Seaweed-7B: Cost-Effective Training of Video Generation Foundation Model
Reference 24
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 7ece4b79-ba87-468e-ad66-86ad4fca928a · outbound
Seedance 1.0: Exploring the Boundaries of Video Generation Models RayFlow: Instance-Aware Diffusion Acceleration via Adaptive Flow Trajectories
Reference 25
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation bd3caeda-d13b-4025-9cbe-8e913f7c4b50 · outbound
Seedance 1.0: Exploring the Boundaries of Video Generation Models Wan: Open and Advanced Large-Scale Video Generative Models
Reference 26
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 166a9564-12bd-4b09-b542-16d9920fc15a · outbound
Seedance 1.0: Exploring the Boundaries of Video Generation Models Training-free and Adaptive Sparse Attention for Efficient Long Video Generation
Reference 27
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 0cfb2fe1-b763-4334-90bb-4cac6f17a111 · outbound
Seedance 1.0: Exploring the Boundaries of Video Generation Models DanceGRPO: Unleashing GRPO on Visual Generation
Reference 28
Source-reported events for the cited work
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Observation bb2abc21-bb3e-4fbb-a43a-5720389ff533 · outbound
Seedance 1.0: Exploring the Boundaries of Video Generation Models Qwen2.5 Technical Report
Reference 29
Source-reported events for the cited work
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Observation a7428aa2-2ecb-44e8-8f06-668947f5ec6b · outbound
Seedance 1.0: Exploring the Boundaries of Video Generation Models CogVideoX: Text-to-Video Diffusion Models with An Expert Transformer
Reference 30
Source-reported events for the cited work
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Observation 988a970a-d54e-43ab-a159-202120020f99 · outbound
Seedance 1.0: Exploring the Boundaries of Video Generation Models Language Model Beats Diffusion -- Tokenizer is Key to Visual Generation
Reference 31
Source-reported events for the cited work
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Observation c4a72311-99ba-4367-80b0-3e7fe61effcf · outbound
Seedance 1.0: Exploring the Boundaries of Video Generation Models Tarsier2: Advancing Large Vision-Language Models from Detailed Video Description to Comprehensive Video Understanding
Reference 32
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 1612533d-4980-44c0-81ab-3ec1c2ebfd74 · outbound
Seedance 1.0: Exploring the Boundaries of Video Generation Models Onlinevpo: Align video diffusion model with online video-centric preference optimization
Reference 33
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation f608ec62-3fd2-4f97-8430-69b72cd4162d · outbound
Seedance 1.0: Exploring the Boundaries of Video Generation Models The unreasonable effectiveness of deep features as a perceptual metric
Reference 34
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 9693bc11-1736-491c-8052-2ac7ee014da0 · outbound
Seedance 1.0: Exploring the Boundaries of Video Generation Models PyTorch FSDP: Experiences on Scaling Fully Sharded Data Parallel
Reference 35
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 8922e4c3-e6f5-4197-9804-2f3b4ac0e0ee · inbound
Images Speak Louder Than Scores: Failure Mode Escape for Enhancing Generative Quality Seedance 1.0: Exploring the Boundaries of Video Generation Models
Reference 13
Source-reported events for the cited work
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Observation b7f756f0-ecec-4166-a009-15f843b2d8bf · inbound
Waver: Wave Your Way to Lifelike Video Generation Seedance 1.0: Exploring the Boundaries of Video Generation Models
Reference 2024
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ac7e8ec9-0175-454d-913e-dcec3f7d1e40 · inbound
UniVerse-1: Unified Audio-Video Generation via Stitching of Experts Seedance 1.0: Exploring the Boundaries of Video Generation Models
Reference 25
Source-reported events for the cited work
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Observation 74c364d4-1825-4b38-87bc-97a4f1befbf4 · inbound
HuMo: Human-Centric Video Generation via Collaborative Multi-Modal Conditioning Seedance 1.0: Exploring the Boundaries of Video Generation Models
Reference 9
Source-reported events for the cited work
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Observation e1ed9b66-e8ca-4b34-9f27-5433927eb701 · inbound
RewardDance: Reward Scaling in Visual Generation Seedance 1.0: Exploring the Boundaries of Video Generation Models
Reference 15
Source-reported events for the cited work
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Observation 65bfcb03-c29d-4609-902a-3507222072b9 · inbound
Large Scale Diffusion Distillation via Score-Regularized Continuous-Time Consistency Seedance 1.0: Exploring the Boundaries of Video Generation Models
Reference 4
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation edea4d0f-8dc8-424d-9fcb-f19dc243d1b4 · inbound
World Simulation with Video Foundation Models for Physical AI Seedance 1.0: Exploring the Boundaries of Video Generation Models
Reference 23
Source-reported events for the cited work
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Observation 25f1daf6-d3e0-4490-be20-ce21d4d09506 · inbound
One-to-All Animation: Alignment-Free Character Animation and Image Pose Transfer Seedance 1.0: Exploring the Boundaries of Video Generation Models
Reference 9
Source-reported events for the cited work
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Observation a178e001-4b93-4b05-af1d-ad038651c2e5 · inbound
Reward Forcing: Efficient Streaming Video Generation with Rewarded Distribution Matching Distillation Seedance 1.0: Exploring the Boundaries of Video Generation Models
Reference 19
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation a2427e91-7cb3-4226-817f-967dc3685800 · inbound
VABench: A Comprehensive Benchmark for Audio-Video Generation Seedance 1.0: Exploring the Boundaries of Video Generation Models
Reference 10
Source-reported events for the cited work
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Observation 8e203a5e-1bed-447a-abfa-a1690171a891 · inbound
Seedance 1.5 pro: A Native Audio-Visual Joint Generation Foundation Model Seedance 1.0: Exploring the Boundaries of Video Generation Models
Reference 3
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation e006029b-6473-437c-8f48-a8b3db3832a4 · inbound
WorldPlay: Towards Long-Term Geometric Consistency for Real-Time Interactive World Modeling Seedance 1.0: Exploring the Boundaries of Video Generation Models
Reference 13
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 19e8d15d-0f78-44e3-b57f-ddf305e7d8bc · inbound
WorldPlay: Towards Long-Term Geometric Consistency for Real-Time Interactive World Modeling Seedance 1.0: Exploring the Boundaries of Video Generation Models
Reference 13
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5aec93c3-c8e7-42b8-ba4a-b621642c2242 · inbound
End-to-End Training for Autoregressive Video Diffusion via Self-Resampling Seedance 1.0: Exploring the Boundaries of Video Generation Models
Reference 21
Source-reported events for the cited work
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Observation 125adf6b-0bfc-4c02-ad98-02f062f89d62 · inbound
Kling-Omni Technical Report Seedance 1.0: Exploring the Boundaries of Video Generation Models
Reference 7
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation a210b766-150a-4950-8b73-c787ec95394b · inbound
PhyGDPO: Physics-Aware Groupwise Direct Preference Optimization for Physically Consistent Text-to-Video Generation Seedance 1.0: Exploring the Boundaries of Video Generation Models
Reference 23
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 97bf22b1-392b-4fb3-a57c-85f55b29d161 · inbound
Mind the Generative Details: Direct Localized Detail Preference Optimization for Video Diffusion Models Seedance 1.0: Exploring the Boundaries of Video Generation Models
Reference 13
Source-reported events for the cited work
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Observation ccacde97-e6a3-4c44-a409-6ee3f483f180 · inbound
Mind the Generative Details: Direct Localized Detail Preference Optimization for Video Diffusion Models Seedance 1.0: Exploring the Boundaries of Video Generation Models
Reference 13
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation fa53f610-9038-44a1-9482-2ca727d477f9 · inbound
TAGRPO: Boosting GRPO on Image-to-Video Generation with Direct Trajectory Alignment Seedance 1.0: Exploring the Boundaries of Video Generation Models
Reference 8
Source-reported events for the cited work
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Observation fd22971c-f86c-4b19-aa05-61d0514c725e · inbound
Transition Matching Distillation for Fast Video Generation Seedance 1.0: Exploring the Boundaries of Video Generation Models
Reference 15
Source-reported events for the cited work
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Observation 56b12472-8b06-43e4-a442-49bbdebb060a · inbound
Advancing Open-source World Models Seedance 1.0: Exploring the Boundaries of Video Generation Models
Reference 63
Source-reported events for the cited work
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Observation da343538-6d13-4a19-9490-fb0384b84915 · inbound
Olaf-World: Orienting Latent Actions for Video World Modeling Seedance 1.0: Exploring the Boundaries of Video Generation Models
Reference 8
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0f0345a5-e94e-4b1c-b033-83705e4a9bdf · inbound
LUVE : Latent-Cascaded Ultra-High-Resolution Video Generation with Dual Frequency Experts Seedance 1.0: Exploring the Boundaries of Video Generation Models
Reference 6
Source-reported events for the cited work
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Observation 4d23110c-0efc-4ce2-9572-b3274b78370e · inbound
Beyond End-to-End Video Models: An LLM-Based Multi-Agent System for Educational Video Generation Seedance 1.0: Exploring the Boundaries of Video Generation Models
Reference 11
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 68fa0439-54c3-4938-8364-d57bf529aa0a · inbound
UCM: Unified Modeling of Camera Control and Memory with Time-aware Positional Encoding Warping for World Models Seedance 1.0: Exploring the Boundaries of Video Generation Models
Reference 16
Source-reported events for the cited work
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Observation 8a9f8fbd-ea12-4460-a00e-c84015389eea · inbound
VIGOR: VIdeo Geometry-Oriented Reward for Temporal Generative Alignment Seedance 1.0: Exploring the Boundaries of Video Generation Models
Reference 12
Source-reported events for the cited work
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Observation 4d9ea67e-c501-4f67-9834-6cc79c97c396 · inbound
AHOY! Animatable Humans under Occlusion from YouTube Videos with Gaussian Splatting and Video Diffusion Priors Seedance 1.0: Exploring the Boundaries of Video Generation Models
Reference 16
Source-reported events for the cited work
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Observation a2023a89-760f-4435-b20e-badf22d5f0ae · inbound
Video Generation Models as World Models: Efficient Paradigms, Architectures and Algorithms Seedance 1.0: Exploring the Boundaries of Video Generation Models
Reference 37
Source-reported events for the cited work
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Observation b72a6ea8-29f3-48a2-a0d3-4276991eeef3 · inbound
DWDP: Distributed Weight Data Parallelism for High-Performance LLM Inference on NVL72 Seedance 1.0: Exploring the Boundaries of Video Generation Models
Reference 3
Source-reported events for the cited work
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Observation f33265c4-5c84-4978-b739-1555a104fc6d · inbound
Rethinking Position Embedding as a Context Controller for Multi-Reference and Multi-Shot Video Generation Seedance 1.0: Exploring the Boundaries of Video Generation Models
Reference 7
Source-reported events for the cited work
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Observation 38785125-45ea-4400-ab08-47c5626099d0 · inbound
OmniCamera: A Unified Framework for Multi-task Video Generation with Arbitrary Camera Control Seedance 1.0: Exploring the Boundaries of Video Generation Models
Reference 13
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 5b6715df-3325-4fe4-ab11-0dbe987eabcb · inbound
Evolution of Video Generative Foundations Seedance 1.0: Exploring the Boundaries of Video Generation Models
Reference 6
Source-reported events for the cited work
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Observation 6893445f-a12b-4b70-b39b-31a5e2760d37 · inbound
Not all tokens contribute equally to diffusion learning Seedance 1.0: Exploring the Boundaries of Video Generation Models
Reference 4
Source-reported events for the cited work
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Observation 3900d100-7723-4b28-ba91-34ed95964807 · inbound
ImVideoEdit: Image-learning Video Editing via 2D Spatial Difference Attention Blocks Seedance 1.0: Exploring the Boundaries of Video Generation Models
Reference 7
Source-reported events for the cited work
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Observation 11cf859b-c8b1-4f15-a041-2c12183c0997 · inbound
Long-Horizon Streaming Video Generation via Hybrid Attention with Decoupled Distillation Seedance 1.0: Exploring the Boundaries of Video Generation Models
Reference 11
Source-reported events for the cited work
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Observation 6b7f9a8b-5771-427b-b42a-567763907f6e · inbound
Tracking High-order Evolutions via Cascading Low-rank Fitting Seedance 1.0: Exploring the Boundaries of Video Generation Models
Reference 12
Source-reported events for the cited work
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Observation 37ad101b-963f-4a7c-a8de-da0a4851923c · inbound
Continuous Adversarial Flow Models Seedance 1.0: Exploring the Boundaries of Video Generation Models
Reference 15
Source-reported events for the cited work
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Observation 8632b087-13c6-498e-bf7c-85d18347efe4 · inbound
Seedance 2.0: Advancing Video Generation for World Complexity Seedance 1.0: Exploring the Boundaries of Video Generation Models
Reference 6
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 4ea6f258-5e67-49da-bf53-9c67a7da3067 · inbound
AnimationBench: Are Video Models Good at Character-Centric Animation? Seedance 1.0: Exploring the Boundaries of Video Generation Models
Reference 6
Source-reported events for the cited work
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Reference 276
Source-reported events for the cited work
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Reference 12
Source-reported events for the cited work
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Reference 11
Source-reported events for the cited work
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Reference 11
Source-reported events for the cited work
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Reference 11
Source-reported events for the cited work
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Reference 13
Source-reported events for the cited work
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Reference 16
Source-reported events for the cited work
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RoboWM-Bench: A Benchmark for Evaluating World Models in Robotic Manipulation Seedance 1.0: Exploring the Boundaries of Video Generation Models
Reference 16
Source-reported events for the cited work
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Reference 49
Source-reported events for the cited work
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Reference 16
Source-reported events for the cited work
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Reference 8
Source-reported events for the cited work
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Reference 7
Source-reported events for the cited work
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Reference 17
Source-reported events for the cited work
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Reference 17
Source-reported events for the cited work
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Reference 251
Source-reported events for the cited work
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Reference 12
Source-reported events for the cited work
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Motion-Aware Caching for Efficient Autoregressive Video Generation Seedance 1.0: Exploring the Boundaries of Video Generation Models
Reference 18
Source-reported events for the cited work
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Reference 23
Source-reported events for the cited work
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Reference 16
Source-reported events for the cited work
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Reference 49
Source-reported events for the cited work
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AniMatrix: An Anime Video Generation Model that Thinks in Art, Not Physics Seedance 1.0: Exploring the Boundaries of Video Generation Models
Reference 1
Source-reported events for the cited work
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AniMatrix: An Anime Video Generation Model that Thinks in Art, Not Physics Seedance 1.0: Exploring the Boundaries of Video Generation Models
Reference 1
Source-reported events for the cited work
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AniMatrix: An Anime Video Generation Model that Thinks in Art, Not Physics Seedance 1.0: Exploring the Boundaries of Video Generation Models
Reference 1
Source-reported events for the cited work
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Reference 6
Source-reported events for the cited work
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Reference 23
Source-reported events for the cited work
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Observation e83486e1-99ba-4383-9640-2d13ab7f1568 · inbound
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Reference 15
Source-reported events for the cited work
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Reference 3
Source-reported events for the cited work
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TeDiO: Temporal Diagonal Optimization for Training-Free Coherent Video Diffusion Seedance 1.0: Exploring the Boundaries of Video Generation Models
Reference 15
Source-reported events for the cited work
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Reference 3
Source-reported events for the cited work
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Observation fd846be1-e966-4be7-aa57-7a7d22b61a82 · inbound
EverAnimate: Minute-Scale Human Animation via Latent Flow Restoration Seedance 1.0: Exploring the Boundaries of Video Generation Models
Reference 60
Source-reported events for the cited work
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Reference 3
Source-reported events for the cited work
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Observation 8b9f42a3-0eca-4de5-9dc2-ff96bb728f22 · inbound
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Reference 6
Source-reported events for the cited work
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Reference 3
Source-reported events for the cited work
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Flash-GRPO: Efficient Alignment for Video Diffusion via One-Step Policy Optimization Seedance 1.0: Exploring the Boundaries of Video Generation Models
Reference 3
Source-reported events for the cited work
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Image-to-Video Diffusion: From Foundations to Open Frontiers Seedance 1.0: Exploring the Boundaries of Video Generation Models
Reference 40
Source-reported events for the cited work
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Tweedie's Formulae and Diffusion Generative Models Beyond Gaussian Seedance 1.0: Exploring the Boundaries of Video Generation Models
Reference 22
Source-reported events for the cited work
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Reference 4
Source-reported events for the cited work
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Reference 3
Source-reported events for the cited work
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Reference 8
Source-reported events for the cited work
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Smart-Insertion-V: Photorealistic Video Insertion via a Closed-Loop Feedback Dual-Stream Framework Seedance 1.0: Exploring the Boundaries of Video Generation Models
Reference 31
Source-reported events for the cited work
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Reference 5
Source-reported events for the cited work
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Reference 15
Source-reported events for the cited work
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Reference 12
Source-reported events for the cited work
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Reference 10
Source-reported events for the cited work
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Reference 11
Source-reported events for the cited work
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Reference 23
Source-reported events for the cited work
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VLMs are Good Teachers for Video Reasoning via Adaptive Test-Time Optimization Seedance 1.0: Exploring the Boundaries of Video Generation Models
Reference 23
Source-reported events for the cited work
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Reference 17
Source-reported events for the cited work
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Reference 7
Source-reported events for the cited work
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Observation dc096517-9b95-4e9c-bbfd-06650ac569d3 · inbound
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Reference 43
Source-reported events for the cited work
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Reference 19
Source-reported events for the cited work
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SpecLoR: Spectral Lookahead Rectification for Motion-Coherent Text-to-Video Generation Seedance 1.0: Exploring the Boundaries of Video Generation Models
Reference 7
Source-reported events for the cited work
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Reference 12
Source-reported events for the cited work
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Observation 90e1add3-e247-4a5d-b821-bffbcc6a0f21 · inbound
GF-DiT: Scheduling Parallelism for Diffusion Transformer Serving Seedance 1.0: Exploring the Boundaries of Video Generation Models
Reference 12
Source-reported events for the cited work
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Observation 6eaf742d-e0af-431a-ba9b-0a28c7af7488 · inbound
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Reference 27
Source-reported events for the cited work
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GroundShot: Visually Consistent Multi-Shot Long Video Generation via Entity-Grounded Shot Scheduling Seedance 1.0: Exploring the Boundaries of Video Generation Models
Reference 7
Source-reported events for the cited work
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Observation d97e0e6e-e598-4acc-9984-219615aa9a19 · inbound
GroundShot: Visually Consistent Multi-Shot Long Video Generation via Entity-Grounded Shot Scheduling Seedance 1.0: Exploring the Boundaries of Video Generation Models
Reference 7
Source-reported events for the cited work
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Observation 60f7a849-c5a4-4de3-8b94-a582ca169de5 · inbound
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Reference 11
Source-reported events for the cited work
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Reference 8
Source-reported events for the cited work
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Observation cbd91e17-d882-4bd6-902a-c889fdb51a1c · inbound
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Reference 14
Source-reported events for the cited work
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Observation 9adafd8a-9c06-4f66-ba66-f8e8497f1553 · inbound
Disco-LoRA: Disentangled Composition of Content, Style, and Motion for Multi-concept Video Customization Seedance 1.0: Exploring the Boundaries of Video Generation Models
Reference 11
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.