Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-09T18:51:12.716760Z
Paper Citation Record · LEDGER
Video Latent Flow Matching: Optimal Polynomial Projections for Video Interpolation and Extrapolation
As of 10 August 2026, this Paper Citation Record lists 82 of 82 outbound references and 3 inbound Pith citation observations for arXiv:2502.00500.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-08T10:20:15.291981Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-10T09:03:26.247342Z
Reference resolution
82 of 82 outbound references displayed
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External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 6af0b641-410a-4975-988c-6e8977cf1310 · outbound
This paper cites GPT-4 Technical Report.
Video Latent Flow Matching: Optimal Polynomial Projections for Video Interpolation and Extrapolation GPT-4 Technical Report
Reference 1
- Resolution
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Source-reported events for the cited work
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Observation c800193f-17a1-4405-8ebf-6d22c31da520 · outbound
This paper cites Building Normalizing Flows with Stochastic Interpolants.
Video Latent Flow Matching: Optimal Polynomial Projections for Video Interpolation and Extrapolation Building Normalizing Flows with Stochastic Interpolants
Reference 4
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 63c2f44b-e780-46bc-878f-5f0e7c546cb1 · outbound
This paper cites $\pi_0$: A Vision-Language-Action Flow Model for General Robot Control.
Video Latent Flow Matching: Optimal Polynomial Projections for Video Interpolation and Extrapolation $\pi_0$: A Vision-Language-Action Flow Model for General Robot Control
Reference 7
- Resolution
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Source-reported events for the cited work
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Observation ba2f7e52-b4d8-4a0f-b289-c63bc1d56cb0 · outbound
This paper cites Matching Normalizing Flows and Probability Paths on Manifolds.
Video Latent Flow Matching: Optimal Polynomial Projections for Video Interpolation and Extrapolation Matching Normalizing Flows and Probability Paths on Manifolds
Reference 8
- Resolution
- verified exact
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Source-reported events for the cited work
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Observation 0d497e98-039b-4472-bf90-51fe33f769ed · outbound
This paper cites Language models are few-shot learners.
Video Latent Flow Matching: Optimal Polynomial Projections for Video Interpolation and Extrapolation Language models are few-shot learners
Reference 9
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Source-reported events for the cited work
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Observation 4c6160c4-d3c4-4439-a760-9e807a3fd8a0 · outbound
This paper cites Algorithm and Hardness for Dynamic Attention Maintenance in Large Language Models.
Video Latent Flow Matching: Optimal Polynomial Projections for Video Interpolation and Extrapolation Algorithm and Hardness for Dynamic Attention Maintenance in Large Language Models
Reference 11
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9e706923-b6e9-41b2-a509-395c8d1185dd · outbound
This paper cites Circuit Complexity Bounds for RoPE-based Transformer Architecture.
Video Latent Flow Matching: Optimal Polynomial Projections for Video Interpolation and Extrapolation Circuit Complexity Bounds for RoPE-based Transformer Architecture
Reference 13
- Resolution
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Source-reported events for the cited work
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Observation 01ce11ff-3a59-4f64-ba60-78b87ae80665 · outbound
This paper cites Grams: Gradient Descent with Adaptive Momentum Scaling.
Video Latent Flow Matching: Optimal Polynomial Projections for Video Interpolation and Extrapolation Grams: Gradient Descent with Adaptive Momentum Scaling
Reference 14
- Resolution
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Source-reported events for the cited work
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Observation eae4695d-3855-4cec-969b-ec3967cf4b5a · outbound
This paper cites HSR-Enhanced Sparse Attention Acceleration.
Video Latent Flow Matching: Optimal Polynomial Projections for Video Interpolation and Extrapolation HSR-Enhanced Sparse Attention Acceleration
Reference 15
- Resolution
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Source-reported events for the cited work
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Observation d8b6aa66-dd2c-4c3b-bb21-6a9028de736d · outbound
This paper cites Generative Flows on Discrete State-Spaces: Enabling Multimodal Flows with Applications to Protein Co-Design.
Video Latent Flow Matching: Optimal Polynomial Projections for Video Interpolation and Extrapolation Generative Flows on Discrete State-Spaces: Enabling Multimodal Flows with Applications to Protein Co-Design
Reference 16
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Source-reported events for the cited work
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Observation ea98afbe-940e-4b2a-8bc0-72c3180ed187 · outbound
This paper cites Transformers are SSMs: Generalized Models and Efficient Algorithms Through Structured State Space Duality.
Video Latent Flow Matching: Optimal Polynomial Projections for Video Interpolation and Extrapolation Transformers are SSMs: Generalized Models and Efficient Algorithms Through Structured State Space Duality
Reference 17
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1f7a4694-355c-46d5-a045-2484bd3352cc · outbound
This paper cites Training Overparametrized Neural Networks in Sublinear Time.
Video Latent Flow Matching: Optimal Polynomial Projections for Video Interpolation and Extrapolation Training Overparametrized Neural Networks in Sublinear Time
Reference 18
- Resolution
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Source-reported events for the cited work
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Observation f829a717-98fa-4457-8de9-888de3424e97 · outbound
This paper cites The Llama 3 Herd of Models.
Video Latent Flow Matching: Optimal Polynomial Projections for Video Interpolation and Extrapolation The Llama 3 Herd of Models
Reference 19
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Source-reported events for the cited work
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Observation d21917a0-f6c7-42a0-aeec-9d28995f6155 · outbound
This paper cites Attention Scheme Inspired Softmax Regression.
Video Latent Flow Matching: Optimal Polynomial Projections for Video Interpolation and Extrapolation Attention Scheme Inspired Softmax Regression
Reference 20
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Source-reported events for the cited work
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Observation 95a9c632-0286-431e-b53e-3875e65c56c5 · outbound
This paper cites Unmasking Transformers: A Theoretical Approach to Data Recovery via Attention Weights.
Video Latent Flow Matching: Optimal Polynomial Projections for Video Interpolation and Extrapolation Unmasking Transformers: A Theoretical Approach to Data Recovery via Attention Weights
Reference 21
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ba8e1e0c-0891-4bcc-9622-46b62f1da4c5 · outbound
This paper cites Unlocking the Theory Behind Scaling 1-Bit Neural Networks.
Video Latent Flow Matching: Optimal Polynomial Projections for Video Interpolation and Extrapolation Unlocking the Theory Behind Scaling 1-Bit Neural Networks
Reference 22
- Resolution
- verified exact
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Source-reported events for the cited work
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Observation 6120744c-586e-439d-a8fd-b7678f16d20e · outbound
This paper cites How Sparse Attention Approximates Exact Attention? Your Attention is Naturally $n^C$-Sparse.
Video Latent Flow Matching: Optimal Polynomial Projections for Video Interpolation and Extrapolation How Sparse Attention Approximates Exact Attention? Your Attention is Naturally $n^C$-Sparse
Reference 23
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Source-reported events for the cited work
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Observation 2bc464b5-cdcf-4eb1-b255-08297f966297 · outbound
This paper cites Mamba: Linear-Time Sequence Modeling with Selective State Spaces.
Video Latent Flow Matching: Optimal Polynomial Projections for Video Interpolation and Extrapolation Mamba: Linear-Time Sequence Modeling with Selective State Spaces
Reference 24
- Resolution
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Source-reported events for the cited work
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Observation 845beaca-b00b-46d7-aa82-b78bca54f53f · outbound
This paper cites How to Train Your HiPPO: State Space Models with Generalized Orthogonal Basis Projections.
Video Latent Flow Matching: Optimal Polynomial Projections for Video Interpolation and Extrapolation How to Train Your HiPPO: State Space Models with Generalized Orthogonal Basis Projections
Reference 25
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0a5c11ae-5939-4b2c-89d7-a44bb36310cd · outbound
This paper cites Towards Infinite-Long Prefix in Transformer.
Video Latent Flow Matching: Optimal Polynomial Projections for Video Interpolation and Extrapolation Towards Infinite-Long Prefix in Transformer
Reference 26
- Resolution
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Source-reported events for the cited work
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Observation 17093f03-1d81-4fe0-8d1d-4eb6b7fdfe4b · outbound
This paper cites Discrete Flow Matching.
Video Latent Flow Matching: Optimal Polynomial Projections for Video Interpolation and Extrapolation Discrete Flow Matching
Reference 27
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Source-reported events for the cited work
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Observation 1586c74b-fec8-4e79-af17-e626c4bab00e · outbound
This paper cites A Fast Optimization View: Reformulating Single Layer Attention in LLM Based on Tensor and SVM Trick, and Solving It in Matrix Multiplication Time.
Video Latent Flow Matching: Optimal Polynomial Projections for Video Interpolation and Extrapolation A Fast Optimization View: Reformulating Single Layer Attention in LLM Based on Tensor and SVM Trick, and Solving It in Matrix Multiplication Time
Reference 28
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Source-reported events for the cited work
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Observation 8866abfd-1cf4-44a0-995f-5f9e30ebd939 · outbound
This paper cites Reuse and Diffuse: Iterative Denoising for Text-to-Video Generation.
Video Latent Flow Matching: Optimal Polynomial Projections for Video Interpolation and Extrapolation Reuse and Diffuse: Iterative Denoising for Text-to-Video Generation
Reference 29
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Source-reported events for the cited work
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Observation c07daa71-678d-40c6-9237-0131b35c870d · outbound
This paper cites AnimateDiff: Animate Your Personalized Text-to-Image Diffusion Models without Specific Tuning.
Video Latent Flow Matching: Optimal Polynomial Projections for Video Interpolation and Extrapolation AnimateDiff: Animate Your Personalized Text-to-Image Diffusion Models without Specific Tuning
Reference 30
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Observation 456e2335-38eb-4453-8122-48805da212a1 · outbound
This paper cites Iterative α-(de) blending: A minimalist deterministic diffusion model.
Video Latent Flow Matching: Optimal Polynomial Projections for Video Interpolation and Extrapolation Iterative α-(de) blending: A minimalist deterministic diffusion model
Reference 31
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Observation 275fd026-3a01-4cc7-aaee-786b0ddfb439 · outbound
This paper cites Outlier-Efficient Hopfield Layers for Large Transformer-Based Models.
Video Latent Flow Matching: Optimal Polynomial Projections for Video Interpolation and Extrapolation Outlier-Efficient Hopfield Layers for Large Transformer-Based Models
Reference 32
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Observation 730229c8-2d7c-4a79-9540-638c66243a35 · outbound
This paper cites Imagen Video: High Definition Video Generation with Diffusion Models.
Video Latent Flow Matching: Optimal Polynomial Projections for Video Interpolation and Extrapolation Imagen Video: High Definition Video Generation with Diffusion Models
Reference 33
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This paper cites HyperAttention: Long-context Attention in Near-Linear Time.
Video Latent Flow Matching: Optimal Polynomial Projections for Video Interpolation and Extrapolation HyperAttention: Long-context Attention in Near-Linear Time
Reference 34
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Observation bf5a88e9-1b76-44df-b93f-ada138e44f3f · outbound
This paper cites On Computational Limits of Modern Hopfield Models: A Fine-Grained Complexity Analysis.
Video Latent Flow Matching: Optimal Polynomial Projections for Video Interpolation and Extrapolation On Computational Limits of Modern Hopfield Models: A Fine-Grained Complexity Analysis
Reference 35
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This paper cites Sequence-Augmented SE(3)-Flow Matching For Conditional Protein Backbone Generation.
Video Latent Flow Matching: Optimal Polynomial Projections for Video Interpolation and Extrapolation Sequence-Augmented SE(3)-Flow Matching For Conditional Protein Backbone Generation
Reference 36
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Observation 8a4fceec-ddc9-4c56-968a-f85de8a9c26d · outbound
This paper cites Fundamental Limits of Prompt Tuning Transformers: Universality, Capacity and Efficiency.
Video Latent Flow Matching: Optimal Polynomial Projections for Video Interpolation and Extrapolation Fundamental Limits of Prompt Tuning Transformers: Universality, Capacity and Efficiency
Reference 37
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This paper cites Provably Optimal Memory Capacity for Modern Hopfield Models: Transformer-Compatible Dense Associative Memories as Spherical Codes.
Video Latent Flow Matching: Optimal Polynomial Projections for Video Interpolation and Extrapolation Provably Optimal Memory Capacity for Modern Hopfield Models: Transformer-Compatible Dense Associative Memories as Spherical Codes
Reference 38
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This paper cites On Statistical Rates and Provably Efficient Criteria of Latent Diffusion Transformers (DiTs).
Video Latent Flow Matching: Optimal Polynomial Projections for Video Interpolation and Extrapolation On Statistical Rates and Provably Efficient Criteria of Latent Diffusion Transformers (DiTs)
Reference 39
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This paper cites MiraData: A Large-Scale Video Dataset with Long Durations and Structured Captions.
Video Latent Flow Matching: Optimal Polynomial Projections for Video Interpolation and Extrapolation MiraData: A Large-Scale Video Dataset with Long Durations and Structured Captions
Reference 40
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This paper cites A Latent Space Theory for Emergent Abilities in Large Language Models.
Video Latent Flow Matching: Optimal Polynomial Projections for Video Interpolation and Extrapolation A Latent Space Theory for Emergent Abilities in Large Language Models
Reference 41
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Video Latent Flow Matching: Optimal Polynomial Projections for Video Interpolation and Extrapolation Pyramidal flow matching for efficient video generative modeling
Reference 42
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Video Latent Flow Matching: Optimal Polynomial Projections for Video Interpolation and Extrapolation The Kinetics Human Action Video Dataset
Reference 43
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Video Latent Flow Matching: Optimal Polynomial Projections for Video Interpolation and Extrapolation HunyuanVideo: A Systematic Framework For Large Video Generative Models
Reference 46
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Video Latent Flow Matching: Optimal Polynomial Projections for Video Interpolation and Extrapolation Auto-Encoding Variational Bayes
Reference 47
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Video Latent Flow Matching: Optimal Polynomial Projections for Video Interpolation and Extrapolation Flow Matching for Generative Modeling
Reference 48
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Video Latent Flow Matching: Optimal Polynomial Projections for Video Interpolation and Extrapolation DeepSeek-V3 Technical Report
Reference 49
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Video Latent Flow Matching: Optimal Polynomial Projections for Video Interpolation and Extrapolation Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow
Reference 50
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This paper cites Fine-grained attention i/o complexity: Comprehensive analysis for backward passes.
Video Latent Flow Matching: Optimal Polynomial Projections for Video Interpolation and Extrapolation Fine-grained attention i/o complexity: Comprehensive analysis for backward passes
Reference 52
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Video Latent Flow Matching: Optimal Polynomial Projections for Video Interpolation and Extrapolation Conv-Basis: A New Paradigm for Efficient Attention Inference and Gradient Computation in Transformers
Reference 53
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This paper cites Beyond Linear Approximations: A Novel Pruning Approach for Attention Matrix.
Video Latent Flow Matching: Optimal Polynomial Projections for Video Interpolation and Extrapolation Beyond Linear Approximations: A Novel Pruning Approach for Attention Matrix
Reference 54
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This paper cites A Tighter Complexity Analysis of SparseGPT.
Video Latent Flow Matching: Optimal Polynomial Projections for Video Interpolation and Extrapolation A Tighter Complexity Analysis of SparseGPT
Reference 55
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This paper cites Looped ReLU MLPs May Be All You Need as Practical Programmable Computers.
Video Latent Flow Matching: Optimal Polynomial Projections for Video Interpolation and Extrapolation Looped ReLU MLPs May Be All You Need as Practical Programmable Computers
Reference 56
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This paper cites Multi-Layer Transformers Gradient Can be Approximated in Almost Linear Time.
Video Latent Flow Matching: Optimal Polynomial Projections for Video Interpolation and Extrapolation Multi-Layer Transformers Gradient Can be Approximated in Almost Linear Time
Reference 57
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This paper cites Tensor attention train- ing: Provably efficient learning of higher-order transformers.
Video Latent Flow Matching: Optimal Polynomial Projections for Video Interpolation and Extrapolation Tensor attention train- ing: Provably efficient learning of higher-order transformers
Reference 58
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This paper cites A Theoretical Insight into Attack and Defense of Gradient Leakage in Transformer.
Video Latent Flow Matching: Optimal Polynomial Projections for Video Interpolation and Extrapolation A Theoretical Insight into Attack and Defense of Gradient Leakage in Transformer
Reference 59
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Video Latent Flow Matching: Optimal Polynomial Projections for Video Interpolation and Extrapolation U-Mamba: Enhancing Long-range Dependency for Biomedical Image Segmentation
Reference 60
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Observation 14198139-1258-479d-9114-18ec5d1cc5c1 · outbound
This paper cites OpenVid-1M: A Large-Scale High-Quality Dataset for Text-to-video Generation.
Video Latent Flow Matching: Optimal Polynomial Projections for Video Interpolation and Extrapolation OpenVid-1M: A Large-Scale High-Quality Dataset for Text-to-video Generation
Reference 61
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Observation 0950bc12-d5bc-4a4f-978d-90274c9b11bc · outbound
This paper cites Movie Gen: A Cast of Media Foundation Models.
Video Latent Flow Matching: Optimal Polynomial Projections for Video Interpolation and Extrapolation Movie Gen: A Cast of Media Foundation Models
Reference 62
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Observation aad184f0-85ae-4566-80c1-08c0d1a69e0b · outbound
This paper cites VM-UNet: Vision Mamba UNet for Medical Image Segmentation.
Video Latent Flow Matching: Optimal Polynomial Projections for Video Interpolation and Extrapolation VM-UNet: Vision Mamba UNet for Medical Image Segmentation
Reference 63
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Observation 944061cb-4734-4739-bc5b-6f9587321694 · outbound
This paper cites Learning to (Learn at Test Time): RNNs with Expressive Hidden States.
Video Latent Flow Matching: Optimal Polynomial Projections for Video Interpolation and Extrapolation Learning to (Learn at Test Time): RNNs with Expressive Hidden States
Reference 64
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Source-reported events for the cited work
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Observation 570c1f67-3bd3-405d-ad24-8c55cfba5333 · outbound
This paper cites Denoising Diffusion Implicit Models.
Video Latent Flow Matching: Optimal Polynomial Projections for Video Interpolation and Extrapolation Denoising Diffusion Implicit Models
Reference 65
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Observation 3cdd9fd9-efc2-4b49-9c86-9d50509efbad · outbound
This paper cites Discovering the Gems in Early Layers: Accelerating Long-Context LLMs with 1000x Input Token Reduction.
Video Latent Flow Matching: Optimal Polynomial Projections for Video Interpolation and Extrapolation Discovering the Gems in Early Layers: Accelerating Long-Context LLMs with 1000x Input Token Reduction
Reference 66
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d40c4db2-dd58-4c9c-bd51-e10faf21fbc9 · outbound
This paper cites Make-A-Video: Text-to-Video Generation without Text-Video Data.
Video Latent Flow Matching: Optimal Polynomial Projections for Video Interpolation and Extrapolation Make-A-Video: Text-to-Video Generation without Text-Video Data
Reference 67
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f85aaa3f-a2c4-4eff-977f-01ce469039eb · outbound
This paper cites Score-Based Generative Modeling through Stochastic Differential Equations.
Video Latent Flow Matching: Optimal Polynomial Projections for Video Interpolation and Extrapolation Score-Based Generative Modeling through Stochastic Differential Equations
Reference 68
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5e4c3a22-d409-4299-b950-1b010bad3eac · outbound
This paper cites UCF101: A Dataset of 101 Human Actions Classes From Videos in The Wild.
Video Latent Flow Matching: Optimal Polynomial Projections for Video Interpolation and Extrapolation UCF101: A Dataset of 101 Human Actions Classes From Videos in The Wild
Reference 69
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation aba66129-1961-4240-88c2-3e8f6932a5a8 · outbound
This paper cites Transformer Dissection: A Unified Understanding of Transformer's Attention via the Lens of Kernel.
Video Latent Flow Matching: Optimal Polynomial Projections for Video Interpolation and Extrapolation Transformer Dissection: A Unified Understanding of Transformer's Attention via the Lens of Kernel
Reference 70
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Source-reported events for the cited work
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Observation 15fcf0b0-6f73-479f-9dc0-e1699dc9b9e7 · outbound
This paper cites Improving and generalizing flow-based generative models with minibatch optimal transport.
Video Latent Flow Matching: Optimal Polynomial Projections for Video Interpolation and Extrapolation Improving and generalizing flow-based generative models with minibatch optimal transport
Reference 71
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Source-reported events for the cited work
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Observation 696a1ae1-0d7b-4aaa-8bd2-763aabcea349 · outbound
This paper cites Visual Autoregressive Modeling: Scalable Image Generation via Next-Scale Prediction.
Video Latent Flow Matching: Optimal Polynomial Projections for Video Interpolation and Extrapolation Visual Autoregressive Modeling: Scalable Image Generation via Next-Scale Prediction
Reference 72
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2415d845-f9a1-4ae3-bb0b-742007a90c25 · outbound
This paper cites Audiobox: Unified Audio Generation with Natural Language Prompts.
Video Latent Flow Matching: Optimal Polynomial Projections for Video Interpolation and Extrapolation Audiobox: Unified Audio Generation with Natural Language Prompts
Reference 73
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Source-reported events for the cited work
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Observation 7724a64a-a882-49d0-aab7-7ecb0a37dd25 · outbound
This paper cites Attention Is All You Need.
Video Latent Flow Matching: Optimal Polynomial Projections for Video Interpolation and Extrapolation Attention Is All You Need
Reference 74
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Source-reported events for the cited work
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Observation 9559f07b-405e-443b-a987-5ea42ef568f3 · outbound
This paper cites InternVid: A Large-scale Video-Text Dataset for Multimodal Understanding and Generation.
Video Latent Flow Matching: Optimal Polynomial Projections for Video Interpolation and Extrapolation InternVid: A Large-scale Video-Text Dataset for Multimodal Understanding and Generation
Reference 76
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Observation 9e403c17-ca42-45d1-85b9-0af2cc98bac4 · outbound
This paper cites In-Context Deep Learning via Transformer Models.
Video Latent Flow Matching: Optimal Polynomial Projections for Video Interpolation and Extrapolation In-Context Deep Learning via Transformer Models
Reference 77
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 2e13c0c8-f9f0-4e44-9d19-7d680d48e64d · outbound
This paper cites Emergent Abilities of Large Language Models.
Video Latent Flow Matching: Optimal Polynomial Projections for Video Interpolation and Extrapolation Emergent Abilities of Large Language Models
Reference 78
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 769e5247-9c64-4803-90c9-57c4838e8eae · outbound
This paper cites Do large language models have compositional ability? an investigation into limitations and scalability.
Video Latent Flow Matching: Optimal Polynomial Projections for Video Interpolation and Extrapolation Do large language models have compositional ability? an investigation into limitations and scalability
Reference 79
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 33f60b34-2448-47ac-9f04-f0f22cc17c7b · outbound
This paper cites Towards Few-Shot Adaptation of Foundation Models via Multitask Finetuning.
Video Latent Flow Matching: Optimal Polynomial Projections for Video Interpolation and Extrapolation Towards Few-Shot Adaptation of Foundation Models via Multitask Finetuning
Reference 80
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 88569954-70d3-4fc7-8e03-801cf35823aa · outbound
This paper cites Are Transformers universal approximators of sequence-to-sequence functions?.
Video Latent Flow Matching: Optimal Polynomial Projections for Video Interpolation and Extrapolation Are Transformers universal approximators of sequence-to-sequence functions?
Reference 81
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Source-reported events for the cited work
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Observation 8f7620f5-a210-4b4a-867d-49bb1f9cc6dc · outbound
This paper cites Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model.
Video Latent Flow Matching: Optimal Polynomial Projections for Video Interpolation and Extrapolation Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model
Reference 82
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Observation 5b5795f6-c5c0-4ac9-bdab-d452d09a7998 · outbound
This paper cites Open-Sora: Democratizing Efficient Video Production for All.
Video Latent Flow Matching: Optimal Polynomial Projections for Video Interpolation and Extrapolation Open-Sora: Democratizing Efficient Video Production for All
Reference 83
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Source-reported events for the cited work
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Observation b3ecc15b-a7b0-4eee-a528-b1c88a9fc62a · outbound
This paper cites MagicVideo: Efficient Video Generation With Latent Diffusion Models.
Video Latent Flow Matching: Optimal Polynomial Projections for Video Interpolation and Extrapolation MagicVideo: Efficient Video Generation With Latent Diffusion Models
Reference 84
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Source-reported events for the cited work
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Observation cbc01840-9ca6-42bb-a828-392175214f38 · outbound
This paper cites Curse of Attention: A Kernel-Based Perspective for Why Transformers Fail to Generalize on Time Series Forecasting and Beyond.
Video Latent Flow Matching: Optimal Polynomial Projections for Video Interpolation and Extrapolation Curse of Attention: A Kernel-Based Perspective for Why Transformers Fail to Generalize on Time Series Forecasting and Beyond
Reference 2013
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5e0dea50-d831-40cf-bb09-587e5e236dd4 · outbound
This paper cites Uniform Memory Retrieval with Larger Capacity for Modern Hopfield Models.
Video Latent Flow Matching: Optimal Polynomial Projections for Video Interpolation and Extrapolation Uniform Memory Retrieval with Larger Capacity for Modern Hopfield Models
Reference 2017
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Observation 17e836da-35d6-4cb3-a5a7-12d589985c06 · outbound
This paper cites Latent-Shift: Latent Diffusion with Temporal Shift for Efficient Text-to-Video Generation.
Video Latent Flow Matching: Optimal Polynomial Projections for Video Interpolation and Extrapolation Latent-Shift: Latent Diffusion with Temporal Shift for Efficient Text-to-Video Generation
Reference 2019
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Source-reported events for the cited work
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Observation 545203ea-5b61-4c9c-bb9d-7c1da1fc867e · outbound
This paper cites eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers.
Video Latent Flow Matching: Optimal Polynomial Projections for Video Interpolation and Extrapolation eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers
Reference 2020
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fb542a59-e055-4bf5-b0c5-a5da46059bf9 · outbound
This paper cites Fourier Circuits in Neural Networks and Transformers: A Case Study of Modular Arithmetic with Multiple Inputs.
Video Latent Flow Matching: Optimal Polynomial Projections for Video Interpolation and Extrapolation Fourier Circuits in Neural Networks and Transformers: A Case Study of Modular Arithmetic with Multiple Inputs
Reference 2021
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e3ca042b-d2f5-4015-b096-c463efc476b5 · outbound
This paper cites Physics of Language Models: Part 1, Learning Hierarchical Language Structures.
Video Latent Flow Matching: Optimal Polynomial Projections for Video Interpolation and Extrapolation Physics of Language Models: Part 1, Learning Hierarchical Language Structures
Reference 2022
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9b765ee8-2348-45a6-897b-ce08226d70d8 · outbound
This paper cites YouTube-8M: A Large-Scale Video Classification Benchmark.
Video Latent Flow Matching: Optimal Polynomial Projections for Video Interpolation and Extrapolation YouTube-8M: A Large-Scale Video Classification Benchmark
Reference 2023
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f4362ce4-9f9f-4884-9c5c-e09568f6ebf7 · outbound
This paper cites The Fine-Grained Complexity of Gradient Computation for Training Large Language Models.
Video Latent Flow Matching: Optimal Polynomial Projections for Video Interpolation and Extrapolation The Fine-Grained Complexity of Gradient Computation for Training Large Language Models
Reference 2024
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- no resolver link, observed 2026-08-09T18:51:12.294022Z
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Pith citing papers
Observation f5e19cf0-bfaf-408a-8806-cba79c7c5210 · inbound
Force Matching with Relativistic Constraints: A Physics-Inspired Approach to Stable and Efficient Generative Modeling cites this paper.
Force Matching with Relativistic Constraints: A Physics-Inspired Approach to Stable and Efficient Generative Modeling Video Latent Flow Matching: Optimal Polynomial Projections for Video Interpolation and Extrapolation
Reference 8
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9bec5562-9131-44ae-a44c-c4234785d5e4 · inbound
T2VWorldBench: A Benchmark for Evaluating World Knowledge in Text-to-Video Generation cites this paper.
T2VWorldBench: A Benchmark for Evaluating World Knowledge in Text-to-Video Generation Video Latent Flow Matching: Optimal Polynomial Projections for Video Interpolation and Extrapolation
Reference 4
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 06f4c2cb-fc55-401c-925d-18233e8c0f92 · inbound
Efficient Video Diffusion Models: Advancements and Challenges cites this paper.
Efficient Video Diffusion Models: Advancements and Challenges Video Latent Flow Matching: Optimal Polynomial Projections for Video Interpolation and Extrapolation
Reference 223
- Resolution
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- arxiv_id, observed 2026-05-10T09:03:26.249272Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.