Native Multi-Dimensional Subquadratic Operators via Input Dependent Long Convolutions | Paper Citation Record

Observation 87aa1f7a-c0d6-4b97-b07a-2733ee47099a · outbound

This paper cites Blelloch.

Native Multi-Dimensional Subquadratic Operators via Input Dependent Long Convolutions Blelloch

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-03T02:08:15.412230Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 55f6d4b4-72a2-407c-9a2f-c7a270e500bf · outbound

This paper cites Durrant, Jerome Ku, Michael Poli, Greg Brockman, Daniel Chang, Gabriel A.

Native Multi-Dimensional Subquadratic Operators via Input Dependent Long Convolutions Durrant, Jerome Ku, Michael Poli, Greg Brockman, Daniel Chang, Gabriel A

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-03T02:08:15.631567Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b46413eb-ed19-47f3-a734-e648bfacaeae · outbound

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

Native Multi-Dimensional Subquadratic Operators via Input Dependent Long Convolutions Transformers are SSMs: Generalized models and efficient algorithms through structured state space duality

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-03T02:08:15.891547Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 37d448e0-890a-4cdd-aca0-17b1a76004d2 · outbound

This paper cites Flashattention: Fast and memory-efficient exact attention with io-awareness.

Native Multi-Dimensional Subquadratic Operators via Input Dependent Long Convolutions Flashattention: Fast and memory-efficient exact attention with io-awareness

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-03T02:08:15.979574Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 23ee9d2c-81c0-46eb-add9-44a41eba1ad4 · outbound

This paper cites Vision transformers need registers, 2023.

Native Multi-Dimensional Subquadratic Operators via Input Dependent Long Convolutions Vision transformers need registers, 2023

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-03T02:08:16.061370Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0ab9a9c4-8a26-4f82-8320-51c9d7023f07 · outbound

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

Native Multi-Dimensional Subquadratic Operators via Input Dependent Long Convolutions ImageNet: A large-scale hierarchical image database

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-03T02:08:16.142643Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 19faf518-40d4-43dd-99e5-e1c56eb9fca0 · outbound

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

Native Multi-Dimensional Subquadratic Operators via Input Dependent Long Convolutions An image is worth 16x16 words: Transformers for image recognition at scale

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-03T02:08:16.221668Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation db771726-44c8-46b5-98bd-cafd02e506b2 · outbound

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

Native Multi-Dimensional Subquadratic Operators via Input Dependent Long Convolutions Hungry hungry hippos: Towards language modeling with state space models

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-03T02:08:16.286688Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4857b46d-10a6-41f8-981e-e21f75edd5f9 · outbound

This paper cites Fu, Hermann Kumbong, Eric Nguyen, and Christopher R´e.

Native Multi-Dimensional Subquadratic Operators via Input Dependent Long Convolutions Fu, Hermann Kumbong, Eric Nguyen, and Christopher R´e

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-03T02:08:16.346641Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 00793727-eb64-4ca8-aa93-d9937d885065 · outbound

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

Native Multi-Dimensional Subquadratic Operators via Input Dependent Long Convolutions Mamba: Linear-Time Sequence Modeling with Selective State Spaces

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-03T02:08:16.411939Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 57624d5e-ce4a-4e16-8e9c-d481a5ddad3c · outbound

This paper cites Efficiently modeling long sequences with structured state spaces.

Native Multi-Dimensional Subquadratic Operators via Input Dependent Long Convolutions Efficiently modeling long sequences with structured state spaces

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-03T02:08:16.474740Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a1860729-571e-4f98-b67f-1d428712cd37 · outbound

This paper cites Swin unetr: Swin transformers for semantic segmentation of brain tumors in mri images.

Native Multi-Dimensional Subquadratic Operators via Input Dependent Long Convolutions Swin unetr: Swin transformers for semantic segmentation of brain tumors in mri images

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-03T02:08:16.534837Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 26c436a0-943a-48f0-9559-b779b7c99d9e · outbound

This paper cites Squeeze-and-excitation networks.

Native Multi-Dimensional Subquadratic Operators via Input Dependent Long Convolutions Squeeze-and-excitation networks

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-03T02:08:16.598392Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9f1a3c19-4088-4af9-afd5-874605a6ca68 · outbound

This paper cites John, Dejun Lin, Polina Binder, Malcolm Greaves, Vega Shah, John St.

Native Multi-Dimensional Subquadratic Operators via Input Dependent Long Convolutions John, Dejun Lin, Polina Binder, Malcolm Greaves, Vega Shah, John St

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-03T02:08:16.621455Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5236a01a-5997-4834-8c89-78c2e36e8d37 · outbound

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

Native Multi-Dimensional Subquadratic Operators via Input Dependent Long Convolutions Transformers are rnns: Fast autoregressive transformers with linear attention

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-03T02:08:16.752001Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 84566fb7-414f-4f06-bbdf-6b75fe2f65fa · outbound

This paper cites Systems and Algorithms for Convolutional Multi-Hybrid Language Models at Scale.

Native Multi-Dimensional Subquadratic Operators via Input Dependent Long Convolutions Systems and Algorithms for Convolutional Multi-Hybrid Language Models at Scale

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-03T02:08:16.871787Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fdfa2ede-d9a8-4836-b37c-c31fd828dac7 · outbound

This paper cites Mamba-ND: Selective state space modeling for multi-dimensional data.

Native Multi-Dimensional Subquadratic Operators via Input Dependent Long Convolutions Mamba-ND: Selective state space modeling for multi-dimensional data

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-03T02:08:16.982851Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7d2d767a-49d3-4e5b-afd4-9e0a7b8aeca1 · outbound

This paper cites Pants: The pancreatic tumor segmentation dataset.

Native Multi-Dimensional Subquadratic Operators via Input Dependent Long Convolutions Pants: The pancreatic tumor segmentation dataset

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-03T02:08:17.204487Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c7c69309-3241-4a3c-80c9-d3d056e5fa99 · outbound

This paper cites VMamba: Visual State Space Model.

Native Multi-Dimensional Subquadratic Operators via Input Dependent Long Convolutions VMamba: Visual State Space Model

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-03T02:08:17.329374Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 02e81345-eee2-4e7b-a7c1-4816b96bdcb0 · outbound

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

Native Multi-Dimensional Subquadratic Operators via Input Dependent Long Convolutions Swin transformer: Hierarchical vision transformer using shifted windows

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-03T02:08:17.436597Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ff347d29-d375-47c1-bf89-ced36fdaab69 · outbound

This paper cites A convnet for the 2020s.

Native Multi-Dimensional Subquadratic Operators via Input Dependent Long Convolutions A convnet for the 2020s

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-03T02:08:17.563421Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d2a48757-7987-4bed-aa63-e9a11fd7be3d · outbound

This paper cites Downs, Preey Shah, Tri Dao, Stephen A.

Native Multi-Dimensional Subquadratic Operators via Input Dependent Long Convolutions Downs, Preey Shah, Tri Dao, Stephen A

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-03T02:08:17.704379Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 93dfb0d1-6624-4231-a645-d2ce6f0f4562 · outbound

This paper cites Durrant, Brian Kang, Dhruva Katrekar, David B.

Native Multi-Dimensional Subquadratic Operators via Input Dependent Long Convolutions Durrant, Brian Kang, Dhruva Katrekar, David B

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-03T02:08:17.823373Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0415d342-0cdc-45ce-89d2-07294182b10c · outbound

This paper cites NVIDIA Tesla V100 GPU Architecture.

Native Multi-Dimensional Subquadratic Operators via Input Dependent Long Convolutions NVIDIA Tesla V100 GPU Architecture

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-03T02:08:17.970166Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9cc434ab-ca19-4e6f-9e06-2bc644fa5ba2 · outbound

This paper cites NVIDIA A100 Tensor Core GPU Architecture.

Native Multi-Dimensional Subquadratic Operators via Input Dependent Long Convolutions NVIDIA A100 Tensor Core GPU Architecture

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-03T02:08:18.108120Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 36efce5e-dbbe-4751-a841-e97c3217e94c · outbound

This paper cites NVIDIA H100 Tensor Core GPU Architecture.

Native Multi-Dimensional Subquadratic Operators via Input Dependent Long Convolutions NVIDIA H100 Tensor Core GPU Architecture

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-03T02:08:18.249857Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7f72ecd3-daf7-40ed-987c-f31878fda615 · outbound

This paper cites NVIDIA Blackwell Architecture Technical Overview.

Native Multi-Dimensional Subquadratic Operators via Input Dependent Long Convolutions NVIDIA Blackwell Architecture Technical Overview

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-03T02:08:18.367478Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation be4c17d6-2a38-4f84-bf83-24942b662d32 · outbound

This paper cites NVIDIA Corporation, cuda toolkit 13.2; cufft 12.2.0.46 edition, 2026.

Native Multi-Dimensional Subquadratic Operators via Input Dependent Long Convolutions NVIDIA Corporation, cuda toolkit 13.2; cufft 12.2.0.46 edition, 2026

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-03T02:08:18.483933Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation de853397-183b-4605-9ec5-134c63d56ea2 · outbound

This paper cites NVIDIA Corporation, mathdx 26.03.0 (cufftdx 1.7.0) edition, 2026.

Native Multi-Dimensional Subquadratic Operators via Input Dependent Long Convolutions NVIDIA Corporation, mathdx 26.03.0 (cufftdx 1.7.0) edition, 2026

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-03T02:08:18.572852Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6e177abd-29c2-43e6-b74a-1997a6700356 · outbound

This paper cites CUTLASS: CUDA Templates for Linear Algebra Subroutines.

Native Multi-Dimensional Subquadratic Operators via Input Dependent Long Convolutions CUTLASS: CUDA Templates for Linear Algebra Subroutines

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-03T02:08:18.723822Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e1b342d2-0652-4418-a921-71a58b5bc3df · outbound

This paper cites Agocs, Miguel Beneitez, Marsha Berger, Blakesley Burkhart, Stuart B.

Native Multi-Dimensional Subquadratic Operators via Input Dependent Long Convolutions Agocs, Miguel Beneitez, Marsha Berger, Blakesley Burkhart, Stuart B

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-03T02:08:18.831168Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ba0d86c9-dc78-444c-81af-3d1a4c9b4bc4 · outbound

This paper cites Rwkv: Reinventing rnns for the transformer era.

Native Multi-Dimensional Subquadratic Operators via Input Dependent Long Convolutions Rwkv: Reinventing rnns for the transformer era

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-03T02:08:18.941960Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5d1f5520-7a07-45ef-bff9-eb1696815c2e · outbound

This paper cites FiLM: Visual reasoning with a general conditioning layer.

Native Multi-Dimensional Subquadratic Operators via Input Dependent Long Convolutions FiLM: Visual reasoning with a general conditioning layer

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-03T02:08:19.093636Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b5bcef22-69a5-4ae5-bb6a-170f978f5a8c · outbound

This paper cites Hyena hierarchy: Towards larger convolutional language models.

Native Multi-Dimensional Subquadratic Operators via Input Dependent Long Convolutions Hyena hierarchy: Towards larger convolutional language models

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-03T02:08:19.259675Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0a6f922d-b81c-4723-80e9-a4a7c4290ce5 · outbound

This paper cites Romero, Robert-Jan Bruintjes, Jakub M.

Native Multi-Dimensional Subquadratic Operators via Input Dependent Long Convolutions Romero, Robert-Jan Bruintjes, Jakub M

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-03T02:08:19.394147Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1c30d82f-b4b6-45a7-9dbc-1346ec8c76bb · outbound

This paper cites Romero, Anna Kuzina, Erik J.

Native Multi-Dimensional Subquadratic Operators via Input Dependent Long Convolutions Romero, Anna Kuzina, Erik J

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-03T02:08:19.572572Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b8de0321-fdfd-4142-bf3c-18d99a04f15e · outbound

This paper cites Implicit neural representations with periodic activation functions.

Native Multi-Dimensional Subquadratic Operators via Input Dependent Long Convolutions Implicit neural representations with periodic activation functions

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-03T02:08:19.678096Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ef3b4f13-472d-4eb6-ab68-a7b24e5bb8a3 · outbound

This paper cites Smith, Andrew Warrington, and Scott W.

Native Multi-Dimensional Subquadratic Operators via Input Dependent Long Convolutions Smith, Andrew Warrington, and Scott W

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-03T02:08:19.769129Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8ad4192c-0d4a-4151-8537-17d7414592ea · outbound

This paper cites HyenaPixel: Global image context with convolutions, 2024.

Native Multi-Dimensional Subquadratic Operators via Input Dependent Long Convolutions HyenaPixel: Global image context with convolutions, 2024

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-03T02:08:19.900473Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b3c1b9e1-1fcc-435d-a873-759f0bdb9fcc · outbound

This paper cites Retentive Network: A Successor to Transformer for Large Language Models.

Native Multi-Dimensional Subquadratic Operators via Input Dependent Long Convolutions Retentive Network: A Successor to Transformer for Large Language Models

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-03T02:08:20.068863Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 948613b1-a859-4158-8167-07321c08220c · outbound

This paper cites Spike No More: Stabilizing the Pre-training of Large Language Models.

Native Multi-Dimensional Subquadratic Operators via Input Dependent Long Convolutions Spike No More: Stabilizing the Pre-training of Large Language Models

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-03T02:08:20.137063Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 432cb132-374e-4e15-b6a4-79b5b8590cae · outbound

This paper cites Kimi Linear: An Expressive, Efficient Attention Architecture.

Native Multi-Dimensional Subquadratic Operators via Input Dependent Long Convolutions Kimi Linear: An Expressive, Efficient Attention Architecture

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-03T02:08:20.290764Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d13a5313-4660-4d71-9b9d-24cc2550bcdf · outbound

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

Native Multi-Dimensional Subquadratic Operators via Input Dependent Long Convolutions Training data-efficient image transformers & distillation through attention

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-03T02:08:20.436823Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 14d0376b-1d19-4a20-9871-8a6c3e069f2b · outbound

This paper cites Attention is all you need.

Native Multi-Dimensional Subquadratic Operators via Input Dependent Long Convolutions Attention is all you need

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-03T02:08:20.482985Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a32cc6df-cc8a-48b6-b8e9-2eaf54eefdb6 · outbound

This paper cites Scaling laws in patchification: An image is worth 50,176 tokens and more.arXiv preprint arXiv:2502.03738, 2025.

Native Multi-Dimensional Subquadratic Operators via Input Dependent Long Convolutions Scaling laws in patchification: An image is worth 50,176 tokens and more.arXiv preprint arXiv:2502.03738, 2025

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-03T02:08:20.540911Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b56f1f2c-6713-4717-8b4d-c90704367993 · outbound

This paper cites Vit-5: Vision transformers for the mid-2020s.arXiv preprint arXiv:2602.08071, 2026.

Native Multi-Dimensional Subquadratic Operators via Input Dependent Long Convolutions Vit-5: Vision transformers for the mid-2020s.arXiv preprint arXiv:2602.08071, 2026

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-03T02:08:20.637475Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5f979af4-c2d0-4d53-946f-4386eea6ed69 · outbound

This paper cites Resnet strikes back: An improved baseline in 2.5 lines of code, 2021.

Native Multi-Dimensional Subquadratic Operators via Input Dependent Long Convolutions Resnet strikes back: An improved baseline in 2.5 lines of code, 2021

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-03T02:08:20.750558Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 82e06fde-a4e6-4fc5-8c02-a34f0d9b84d8 · outbound

This paper cites Gated delta networks: Improving mamba2 with delta rule.

Native Multi-Dimensional Subquadratic Operators via Input Dependent Long Convolutions Gated delta networks: Improving mamba2 with delta rule

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-03T02:08:20.824749Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1c73424b-bb60-427f-a488-908d29fdba0f · outbound

This paper cites Flashattention-4: Algorithm and kernel pipelining co-design for asymmetric hardware scaling,.

Native Multi-Dimensional Subquadratic Operators via Input Dependent Long Convolutions Flashattention-4: Algorithm and kernel pipelining co-design for asymmetric hardware scaling,

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-03T02:08:20.933776Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1456c8ee-e7da-4426-b001-f65627f8c4fd · outbound

This paper cites Root mean square layer normalization.

Native Multi-Dimensional Subquadratic Operators via Input Dependent Long Convolutions Root mean square layer normalization

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-03T02:08:21.086728Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9779b8fa-64fe-4ce8-9701-0ef87aac8899 · outbound

This paper cites Squeeze-and-attention networks for semantic segmentation.

Native Multi-Dimensional Subquadratic Operators via Input Dependent Long Convolutions Squeeze-and-attention networks for semantic segmentation

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-03T02:08:21.180394Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 54a77d2b-990c-4d4c-a4cb-6904a309deb1 · outbound

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

Native Multi-Dimensional Subquadratic Operators via Input Dependent Long Convolutions Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-03T02:08:21.294067Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6c608dad-6f69-41bf-ad8c-b1c17f9ba78d · outbound

This paper cites Systems and Algorithms for Convolutional Multi-Hybrid Language Models at Scale,.

Native Multi-Dimensional Subquadratic Operators via Input Dependent Long Convolutions Systems and Algorithms for Convolutional Multi-Hybrid Language Models at Scale,

Reference 53

Resolution: malformed identifier; no resolver link, observed 2026-08-03T02:08:21.412214Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 811fbc0b-9fc6-4448-93a0-948e7f300605 · outbound

This paper cites an unresolved cited work.

Native Multi-Dimensional Subquadratic Operators via Input Dependent Long Convolutions Unresolved cited work

Reference 2026

Resolution: unresolved; no resolver link, observed 2026-08-03T02:08:21.026402Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Coverage vector

Reference resolution

Outbound references

Pith citing papers