Parallel Sequence Modeling via Generalized Spatial Propagation Network | Paper Citation Record

Observation b088bae9-501c-48de-ad41-731e975c2933 · outbound

This paper cites Xcit: Cross-covariance image transformers.

Parallel Sequence Modeling via Generalized Spatial Propagation Network Xcit: Cross-covariance image transformers

Reference 1

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This paper cites Vision-LSTM: xLSTM as Generic Vision Backbone.

Parallel Sequence Modeling via Generalized Spatial Propagation Network Vision-LSTM: xLSTM as Generic Vision Backbone

Reference 2

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This paper cites Layer Normalization.

Parallel Sequence Modeling via Generalized Spatial Propagation Network Layer Normalization

Reference 3

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This paper cites Exploring Alternatives to Softmax Function.

Parallel Sequence Modeling via Generalized Spatial Propagation Network Exploring Alternatives to Softmax Function

Reference 4

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This paper cites All are worth words: A vit backbone for diffusion models.

Parallel Sequence Modeling via Generalized Spatial Propagation Network All are worth words: A vit backbone for diffusion models

Reference 5

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This paper cites Multidiffusion: Fusing diffusion paths for controlled image generation.

Parallel Sequence Modeling via Generalized Spatial Propagation Network Multidiffusion: Fusing diffusion paths for controlled image generation

Reference 6

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This paper cites 2-D SSM: A General Spatial Layer for Visual Transformers.

Parallel Sequence Modeling via Generalized Spatial Propagation Network 2-D SSM: A General Spatial Layer for Visual Transformers

Reference 7

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This paper cites Language Models are Few-Shot Learners.

Parallel Sequence Modeling via Generalized Spatial Propagation Network Language Models are Few-Shot Learners

Reference 8

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This paper cites Scene labeling with lstm recurrent neural net- works.

Parallel Sequence Modeling via Generalized Spatial Propagation Network Scene labeling with lstm recurrent neural net- works

Reference 9

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This paper cites End-to- end object detection with transformers.

Parallel Sequence Modeling via Generalized Spatial Propagation Network End-to- end object detection with transformers

Reference 10

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

Parallel Sequence Modeling via Generalized Spatial Propagation Network Emerg- ing properties in self-supervised vision transformers

Reference 11

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

Parallel Sequence Modeling via Generalized Spatial Propagation Network PixArt-$\alpha$: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis

Reference 12

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This paper cites Generating Long Sequences with Sparse Transformers.

Parallel Sequence Modeling via Generalized Spatial Propagation Network Generating Long Sequences with Sparse Transformers

Reference 13

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Observation adf7c6f3-bc96-4b04-99d1-b61d23a7ffe4 · outbound

This paper cites Xception: Deep learning with depthwise separable convolutions.

Parallel Sequence Modeling via Generalized Spatial Propagation Network Xception: Deep learning with depthwise separable convolutions

Reference 14

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Observation 52c73da9-743c-4495-958e-61ed6d0d6af8 · outbound

This paper cites Rethink- ing attention with performers.

Parallel Sequence Modeling via Generalized Spatial Propagation Network Rethink- ing attention with performers

Reference 15

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This paper cites Twins: Re- visiting the design of spatial attention in vision transformers.

Parallel Sequence Modeling via Generalized Spatial Propagation Network Twins: Re- visiting the design of spatial attention in vision transformers

Reference 16

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Observation c8128895-ac38-44ea-9c69-b68d82b3c7d5 · outbound

This paper cites Empirical evaluation of gated recurrent neural networks on sequence modeling.

Parallel Sequence Modeling via Generalized Spatial Propagation Network Empirical evaluation of gated recurrent neural networks on sequence modeling

Reference 17

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This paper cites Coatnet: Marrying convolution and attention for all data sizes.

Parallel Sequence Modeling via Generalized Spatial Propagation Network Coatnet: Marrying convolution and attention for all data sizes

Reference 18

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This paper cites Transformers are ssms: Generalized models and efficient algorithms through structured state space duality.

Parallel Sequence Modeling via Generalized Spatial Propagation Network Transformers are ssms: Generalized models and efficient algorithms through structured state space duality

Reference 19

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Observation e45473d1-9acd-4b8a-a207-77b80c17a11d · outbound

This paper cites Vision transformers need registers.

Parallel Sequence Modeling via Generalized Spatial Propagation Network Vision transformers need registers

Reference 20

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This paper cites Imagenet: A large-scale hierarchical image database.

Parallel Sequence Modeling via Generalized Spatial Propagation Network Imagenet: A large-scale hierarchical image database

Reference 21

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Observation 90b6dfb7-a641-4811-b63b-6a938ce1f84d · outbound

This paper cites Diffusion models beat gans on image synthesis.

Parallel Sequence Modeling via Generalized Spatial Propagation Network Diffusion models beat gans on image synthesis

Reference 22

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This paper cites Cswin transformer: A general vision transformer backbone with cross-shaped windows.

Parallel Sequence Modeling via Generalized Spatial Propagation Network Cswin transformer: A general vision transformer backbone with cross-shaped windows

Reference 23

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Observation 4cd70c49-a69e-44bb-9fca-9a3969042e80 · outbound

This paper cites An image is worth 16x16 words: Trans- formers for image recognition at scale.

Parallel Sequence Modeling via Generalized Spatial Propagation Network An image is worth 16x16 words: Trans- formers for image recognition at scale

Reference 24

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This paper cites Demofusion: Democratising high- resolution image generation with no $$$.

Parallel Sequence Modeling via Generalized Spatial Propagation Network Demofusion: Democratising high- resolution image generation with no $$$

Reference 25

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This paper cites Vision-RWKV: Efficient and Scalable Visual Perception with RWKV-Like Architectures.

Parallel Sequence Modeling via Generalized Spatial Propagation Network Vision-RWKV: Efficient and Scalable Visual Perception with RWKV-Like Architectures

Reference 26

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This paper cites Sigmoid- weighted linear units for neural network function approxi- mation in reinforcement learning.

Parallel Sequence Modeling via Generalized Spatial Propagation Network Sigmoid- weighted linear units for neural network function approxi- mation in reinforcement learning

Reference 27

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Observation ce65f3c7-211a-4d8b-871e-c168f3cd0389 · outbound

This paper cites Hungry hungry hippos: Towards language modeling with state space models.

Parallel Sequence Modeling via Generalized Spatial Propagation Network Hungry hungry hippos: Towards language modeling with state space models

Reference 28

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Observation a5745010-9f0a-45c8-a38d-7dfdbd6cecb6 · outbound

This paper cites Levit: a vision transformer in convnet’s clothing for faster inference.

Parallel Sequence Modeling via Generalized Spatial Propagation Network Levit: a vision transformer in convnet’s clothing for faster inference

Reference 29

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Observation 13c7257c-0f23-4cf1-b3db-b21d5fe2de72 · outbound

This paper cites Multi-dimensional recurrent neural networks.

Parallel Sequence Modeling via Generalized Spatial Propagation Network Multi-dimensional recurrent neural networks

Reference 30

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Observation e06d9a61-92eb-4acd-a2bf-a428cf0a8449 · outbound

This paper cites Mamba: Linear-Time Sequence Modeling with Selective State Spaces.

Parallel Sequence Modeling via Generalized Spatial Propagation Network Mamba: Linear-Time Sequence Modeling with Selective State Spaces

Reference 31

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This paper cites Elasticdiffusion: Training-free arbitrary size image generation through global-local content separation.

Parallel Sequence Modeling via Generalized Spatial Propagation Network Elasticdiffusion: Training-free arbitrary size image generation through global-local content separation

Reference 32

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This paper cites Flatten transformer: Vision transformer using focused linear attention.

Parallel Sequence Modeling via Generalized Spatial Propagation Network Flatten transformer: Vision transformer using focused linear attention

Reference 33

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Observation 87326f92-72b2-4b8f-98f2-1c92fae584fb · outbound

This paper cites MambaVision: A Hybrid Mamba-Transformer Vision Backbone.

Parallel Sequence Modeling via Generalized Spatial Propagation Network MambaVision: A Hybrid Mamba-Transformer Vision Backbone

Reference 34

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This paper cites Zhang, Shaoqing Ren, and Jian Sun.

Parallel Sequence Modeling via Generalized Spatial Propagation Network Zhang, Shaoqing Ren, and Jian Sun

Reference 35

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This paper cites Scalecrafter: Tuning-free higher- resolution visual generation with diffusion models.

Parallel Sequence Modeling via Generalized Spatial Propagation Network Scalecrafter: Tuning-free higher- resolution visual generation with diffusion models

Reference 36

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Observation 79777a7c-1fdc-4dab-91c8-aa9f078f638b · outbound

This paper cites Gaussian Error Linear Units (GELUs).

Parallel Sequence Modeling via Generalized Spatial Propagation Network Gaussian Error Linear Units (GELUs)

Reference 37

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This paper cites Tenenbaum, Kfir Aberman, Y.

Parallel Sequence Modeling via Generalized Spatial Propagation Network Tenenbaum, Kfir Aberman, Y

Reference 38

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This paper cites Gans trained by a two time-scale update rule converge to a local nash equilibrium.

Parallel Sequence Modeling via Generalized Spatial Propagation Network Gans trained by a two time-scale update rule converge to a local nash equilibrium

Reference 39

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This paper cites Classifier-free diffusion guidance.

Parallel Sequence Modeling via Generalized Spatial Propagation Network Classifier-free diffusion guidance

Reference 40

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Observation d6284e6d-6289-4c6d-ae0f-568c9c9b5079 · outbound

This paper cites Axial Attention in Multidimensional Transformers.

Parallel Sequence Modeling via Generalized Spatial Propagation Network Axial Attention in Multidimensional Transformers

Reference 41

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This paper cites Untersuchungen zu dynamischen neu- ronalen netzen.

Parallel Sequence Modeling via Generalized Spatial Propagation Network Untersuchungen zu dynamischen neu- ronalen netzen

Reference 42

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This paper cites Long short-term memory.

Parallel Sequence Modeling via Generalized Spatial Propagation Network Long short-term memory

Reference 43

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This paper cites Trans- former quality in linear time.

Parallel Sequence Modeling via Generalized Spatial Propagation Network Trans- former quality in linear time

Reference 44

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Observation 89c5aa19-5d14-4021-acb8-34845ecc3c87 · outbound

This paper cites FouriScale: A Frequency Perspective on Training-Free High-Resolution Image Synthesis.

Parallel Sequence Modeling via Generalized Spatial Propagation Network FouriScale: A Frequency Perspective on Training-Free High-Resolution Image Synthesis

Reference 45

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Observation 0a42e1ef-56d5-4882-aae1-b4420737a82e · outbound

This paper cites LocalMamba: Visual State Space Model with Windowed Selective Scan.

Parallel Sequence Modeling via Generalized Spatial Propagation Network LocalMamba: Visual State Space Model with Windowed Selective Scan

Reference 46

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This paper cites Transformers are rnns: Fast autoregressive transformers with linear attention.

Parallel Sequence Modeling via Generalized Spatial Propagation Network Transformers are rnns: Fast autoregressive transformers with linear attention

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:16:44.879048Z

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Observation fae2b8a8-d803-460e-8f62-c8d44c0d5568 · outbound

This paper cites Bk-sdm: Architecturally compressed stable diffusion for efficient text-to-image generation.

Parallel Sequence Modeling via Generalized Spatial Propagation Network Bk-sdm: Architecturally compressed stable diffusion for efficient text-to-image generation

Reference 48

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Observation c54178ff-869d-49e5-9c9e-8d7c76f02769 · outbound

This paper cites Re- former: The efficient transformer.

Parallel Sequence Modeling via Generalized Spatial Propagation Network Re- former: The efficient transformer

Reference 49

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This paper cites Chatgpt: Jack of all trades, master of none.

Parallel Sequence Modeling via Generalized Spatial Propagation Network Chatgpt: Jack of all trades, master of none

Reference 50

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Observation b6dfa10c-7908-4266-b442-5959c0d7f9a7 · outbound

This paper cites Im- agenet classification with deep convolutional neural networks.

Parallel Sequence Modeling via Generalized Spatial Propagation Network Im- agenet classification with deep convolutional neural networks

Reference 51

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This paper cites Improved precision and recall metric for assessing generative models.

Parallel Sequence Modeling via Generalized Spatial Propagation Network Improved precision and recall metric for assessing generative models

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:16:44.816107Z

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Observation 5fdaa095-ca5e-4259-a662-9a9aba734c93 · outbound

This paper cites Next-ViT: Next Generation Vision Transformer for Efficient Deployment in Realistic Industrial Scenarios.

Parallel Sequence Modeling via Generalized Spatial Propagation Network Next-ViT: Next Generation Vision Transformer for Efficient Deployment in Realistic Industrial Scenarios

Reference 53

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This paper cites Savarese, and Steven C.

Parallel Sequence Modeling via Generalized Spatial Propagation Network Savarese, and Steven C

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:16:44.800516Z

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Observation b88dec22-7342-4054-9d75-43651ae2beb1 · outbound

This paper cites Uniformer: Unified transformer for efficient spatiotemporal representation learning.

Parallel Sequence Modeling via Generalized Spatial Propagation Network Uniformer: Unified transformer for efficient spatiotemporal representation learning

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:16:44.787677Z

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Observation 79b0a1f3-c0fc-44b1-bc50-95e7f8598699 · outbound

This paper cites Distrifusion: Distributed parallel inference for high-resolution diffusion models.

Parallel Sequence Modeling via Generalized Spatial Propagation Network Distrifusion: Distributed parallel inference for high-resolution diffusion models

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:16:44.775288Z

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Observation c1729834-8a03-4407-aed4-4c02cec13f16 · outbound

This paper cites Mamba-ND: Selective State Space Modeling for Multi-Dimensional Data.

Parallel Sequence Modeling via Generalized Spatial Propagation Network Mamba-ND: Selective State Space Modeling for Multi-Dimensional Data

Reference 57

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Observation ac6bb3e4-c90e-4bdc-945a-5fcdaeb5e227 · outbound

This paper cites CutDiffusion: A Simple, Fast, Cheap, and Strong Diffusion Extrapolation Method.

Parallel Sequence Modeling via Generalized Spatial Propagation Network CutDiffusion: A Simple, Fast, Cheap, and Strong Diffusion Extrapolation Method

Reference 58

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Observation 508598c8-baa1-4db2-be63-2ae47580764c · outbound

This paper cites Microsoft coco: Common objects in context.

Parallel Sequence Modeling via Generalized Spatial Propagation Network Microsoft coco: Common objects in context

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:16:44.761573Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 180fabdb-f7ce-4ab5-9a53-085ad9e4fcaf · outbound

This paper cites AccDiffusion: An Accurate Method for Higher-Resolution Image Generation.

Parallel Sequence Modeling via Generalized Spatial Propagation Network AccDiffusion: An Accurate Method for Higher-Resolution Image Generation

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-10T17:16:43.658432Z

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Observation e90126f3-2f0f-44e5-91c4-bbf363bf01e1 · outbound

This paper cites Transformer-vq: Linear-time transformers via vector quantization.

Parallel Sequence Modeling via Generalized Spatial Propagation Network Transformer-vq: Linear-time transformers via vector quantization

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:16:44.747037Z

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Observation fc16ac80-879f-47f1-baa3-18e63a3d816c · outbound

This paper cites Learning affinity via spatial propagation networks.

Parallel Sequence Modeling via Generalized Spatial Propagation Network Learning affinity via spatial propagation networks

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:16:44.730049Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation fa2c8bcd-df98-43d8-a1c8-066f1b21ff69 · outbound

This paper cites LinFusion: 1 GPU, 1 Minute, 16K Image.

Parallel Sequence Modeling via Generalized Spatial Propagation Network LinFusion: 1 GPU, 1 Minute, 16K Image

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-10T17:16:43.672571Z

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Observation 2703d1fd-5d76-42b0-b006-5fc40c2c5991 · outbound

This paper cites VMamba: Visual State Space Model.

Parallel Sequence Modeling via Generalized Spatial Propagation Network VMamba: Visual State Space Model

Reference 64

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Observation 79aeff2d-a600-48eb-891a-b6fadfa10e32 · outbound

This paper cites Swin transformer: Hierarchical vision transformer using shifted windows.

Parallel Sequence Modeling via Generalized Spatial Propagation Network Swin transformer: Hierarchical vision transformer using shifted windows

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:16:44.713443Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation bddf03a3-44a2-4428-a8d4-e58399270c23 · outbound

This paper cites A convnet for the 2020s.

Parallel Sequence Modeling via Generalized Spatial Propagation Network A convnet for the 2020s

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:16:44.699452Z

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Observation 7d959d22-f33f-41c5-a84f-36f027d02069 · outbound

This paper cites Soft: Softmax-free transformer with linear complexity.

Parallel Sequence Modeling via Generalized Spatial Propagation Network Soft: Softmax-free transformer with linear complexity

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:16:44.684210Z

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Observation df0b005d-5a93-4e7b-9c63-cc66a683b850 · outbound

This paper cites Sit: Exploring flow and diffusion-based generative models with scalable interpolant transformers.

Parallel Sequence Modeling via Generalized Spatial Propagation Network Sit: Exploring flow and diffusion-based generative models with scalable interpolant transformers

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:16:44.668329Z

Source-reported events for the cited work

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Observation 7522fff4-531d-4f65-9623-b11658fd6bbf · outbound

This paper cites SDEdit: Guided Image Synthesis and Editing with Stochastic Differential Equations.

Parallel Sequence Modeling via Generalized Spatial Propagation Network SDEdit: Guided Image Synthesis and Editing with Stochastic Differential Equations

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-10T17:16:43.701779Z

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Observation 736f728d-acef-4d38-b110-d6fd854235a1 · outbound

This paper cites Generating Images with Sparse Representations.

Parallel Sequence Modeling via Generalized Spatial Propagation Network Generating Images with Sparse Representations

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-10T17:16:43.706301Z

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Observation 67e87668-5f5c-4127-97af-51fd0b90ecf2 · outbound

This paper cites S4nd: Modeling images and videos as multidimensional signals with state spaces.

Parallel Sequence Modeling via Generalized Spatial Propagation Network S4nd: Modeling images and videos as multidimensional signals with state spaces

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:16:44.656079Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 3f8bfb4e-0524-4973-8aef-38d520591d3b · outbound

This paper cites On aliased resizing and surprising subtleties in gan evaluation.

Parallel Sequence Modeling via Generalized Spatial Propagation Network On aliased resizing and surprising subtleties in gan evaluation

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-10T17:16:43.714866Z

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Observation 87a91003-5e8c-4af0-b616-e09cd4f9342c · outbound

This paper cites On the difficulty of training recurrent neural networks.

Parallel Sequence Modeling via Generalized Spatial Propagation Network On the difficulty of training recurrent neural networks

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:16:44.634362Z

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Observation 25ac1bce-a612-46a3-9b80-23019bf1fa42 · outbound

This paper cites Scalable diffusion models with transformers.

Parallel Sequence Modeling via Generalized Spatial Propagation Network Scalable diffusion models with transformers

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:16:44.614810Z

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Observation 717539f0-589f-4ea6-98f4-2dd066956698 · outbound

This paper cites Random Feature Attention.

Parallel Sequence Modeling via Generalized Spatial Propagation Network Random Feature Attention

Reference 75

Resolution: unresolved; no resolver link, observed 2026-08-10T17:16:43.729920Z

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Observation 79186a72-a78c-49b8-8cae-430b299ca895 · outbound

This paper cites Self-attention Does Not Need $O(n^2)$ Memory.

Parallel Sequence Modeling via Generalized Spatial Propagation Network Self-attention Does Not Need $O(n^2)$ Memory

Reference 76

Resolution: unresolved; no resolver link, observed 2026-08-10T17:16:43.734351Z

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Observation dc98df41-7156-4be2-9cda-b1aab9544504 · outbound

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

Parallel Sequence Modeling via Generalized Spatial Propagation Network High-resolution image synthesis with latent diffusion models

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:16:44.595712Z

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Observation e7a9828d-51fd-477d-b476-eab62c7c5272 · outbound

This paper cites Improved techniques for training gans.

Parallel Sequence Modeling via Generalized Spatial Propagation Network Improved techniques for training gans

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:16:44.582278Z

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Observation 29170875-8ba1-4fff-b880-8cd5e2541d07 · outbound

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

Parallel Sequence Modeling via Generalized Spatial Propagation Network Laion-5b: An open large-scale dataset for training next gener- ation image-text models

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:16:44.569362Z

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Observation 300eca2b-2a13-45bd-8fb1-2eadea8ec433 · outbound

This paper cites Efficient attention: Attention with linear complexities.

Parallel Sequence Modeling via Generalized Spatial Propagation Network Efficient attention: Attention with linear complexities

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:16:44.557159Z

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Observation e2a58164-275a-4b7c-b06e-7c5957ba5c27 · outbound

This paper cites Roformer: Enhanced transformer with rotary position embedding.

Parallel Sequence Modeling via Generalized Spatial Propagation Network Roformer: Enhanced transformer with rotary position embedding

Reference 81

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:16:44.543409Z

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Observation 4b4d91ec-b6f1-4fad-827a-da43fb5dcaec · outbound

This paper cites Training data-efficient image transformers & distillation through atten- tion.

Parallel Sequence Modeling via Generalized Spatial Propagation Network Training data-efficient image transformers & distillation through atten- tion

Reference 82

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:16:44.529674Z

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Observation a5e75e7b-9ba4-4165-9333-aff4e8dfc56e · outbound

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

Parallel Sequence Modeling via Generalized Spatial Propagation Network LLaMA: Open and Efficient Foundation Language Models

Reference 83

Resolution: unresolved; no resolver link, observed 2026-08-10T17:16:43.769076Z

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Observation 8dd0284e-9487-4e62-9890-65ee891a69f4 · outbound

This paper cites Pixel recurrent neural networks.

Parallel Sequence Modeling via Generalized Spatial Propagation Network Pixel recurrent neural networks

Reference 84

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:16:44.516291Z

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Observation 6d5f372e-046c-4613-8814-80bd5892cf74 · outbound

This paper cites Attention is all you need.

Parallel Sequence Modeling via Generalized Spatial Propagation Network Attention is all you need

Reference 85

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:16:44.503039Z

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Observation 14fdecaa-5232-4ae4-ab59-f7908e4383a4 · outbound

This paper cites Linformer: Self-Attention with Linear Complexity.

Parallel Sequence Modeling via Generalized Spatial Propagation Network Linformer: Self-Attention with Linear Complexity

Reference 86

Resolution: unresolved; no resolver link, observed 2026-08-10T17:16:43.783072Z

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Observation 8fce0389-79bc-4820-89ce-364a01f335d0 · outbound

This paper cites Pyra- mid vision transformer: A versatile backbone for dense pre- diction without convolutions.

Parallel Sequence Modeling via Generalized Spatial Propagation Network Pyra- mid vision transformer: A versatile backbone for dense pre- diction without convolutions

Reference 87

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:16:44.487466Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation fc5ce58e-9ef8-44ef-8d40-67612d96781b · outbound

This paper cites Con- vnext v2: Co-designing and scaling convnets with masked autoencoders.

Parallel Sequence Modeling via Generalized Spatial Propagation Network Con- vnext v2: Co-designing and scaling convnets with masked autoencoders

Reference 88

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:16:44.473738Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 38dedc91-c6a1-429c-95b4-89e2d1d24ab7 · outbound

This paper cites Cvt: Introducing convolutions to vision transformers.

Parallel Sequence Modeling via Generalized Spatial Propagation Network Cvt: Introducing convolutions to vision transformers

Reference 89

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:16:44.455870Z

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Observation 34bbded4-682f-49a3-bc23-7602f0512c47 · outbound

This paper cites Lite transformer with long-short range attention.

Parallel Sequence Modeling via Generalized Spatial Propagation Network Lite transformer with long-short range attention

Reference 90

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:16:44.438584Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation f7faab3f-9db5-467f-90af-bc976ffecf6d · outbound

This paper cites Nystr¨omformer: A nystr ¨om-based algorithm for approximat- ing self-attention.

Parallel Sequence Modeling via Generalized Spatial Propagation Network Nystr¨omformer: A nystr ¨om-based algorithm for approximat- ing self-attention

Reference 91

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:16:44.423792Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation cf17c6d4-76b9-4ccd-bb92-a2f270e9ec41 · outbound

This paper cites Focal modulation networks.

Parallel Sequence Modeling via Generalized Spatial Propagation Network Focal modulation networks

Reference 92

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:16:44.406754Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation b4099f2e-ff85-4067-b79a-386526391afd · outbound

This paper cites EmerNeRF: Emergent Spatial-Temporal Scene Decomposition via Self-Supervision.

Parallel Sequence Modeling via Generalized Spatial Propagation Network EmerNeRF: Emergent Spatial-Temporal Scene Decomposition via Self-Supervision

Reference 93

Resolution: unresolved; no resolver link, observed 2026-08-10T17:16:43.813426Z

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Observation d8f900cf-bd27-4e95-a328-be46ced3f060 · outbound

This paper cites MambaOut: Do We Really Need Mamba for Vision?.

Parallel Sequence Modeling via Generalized Spatial Propagation Network MambaOut: Do We Really Need Mamba for Vision?

Reference 94

Resolution: unresolved; no resolver link, observed 2026-08-10T17:16:43.818342Z

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Observation a3f51b9f-4ffb-4740-89df-ca1e35e5007f · outbound

This paper cites Tay, Jiashi Feng, and Shuicheng Yan.

Parallel Sequence Modeling via Generalized Spatial Propagation Network Tay, Jiashi Feng, and Shuicheng Yan

Reference 95

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:16:44.391213Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 2ec2ae04-0149-4365-8595-26e247db2c20 · outbound

This paper cites Biformer: Vision transformer with bi-level routing attention.

Parallel Sequence Modeling via Generalized Spatial Propagation Network Biformer: Vision transformer with bi-level routing attention

Reference 96

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:16:44.376567Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 3338b945-a4f9-4a25-9223-85f82432f7fa · outbound

This paper cites Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model.

Parallel Sequence Modeling via Generalized Spatial Propagation Network Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model

Reference 97

Resolution: unresolved; no resolver link, observed 2026-08-10T17:16:43.832714Z

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