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Paper Citation Record · LEDGER

Surface Vision Mamba: Leveraging Bidirectional State Space Model for Efficient Spherical Manifold Representation

As of 14 August 2026, this Paper Citation Record lists 30 of 30 outbound references and 0 inbound Pith citation observations for arXiv:2501.14679.

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

pith.paper-citation-record.v1
2501.14679 v5

Coverage vector

measured 30 of 30 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T14:58:40.382239Z

measured 30 of 30 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

30 of 30 outbound references displayed

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External citation measurements

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Outbound references

Observation 84307e29-a59f-490a-92b0-f27b0a871a93 · outbound

This paper cites Longformer: The Long-Document Transformer.

Surface Vision Mamba: Leveraging Bidirectional State Space Model for Efficient Spherical Manifold Representation Longformer: The Long-Document Transformer

Reference 1

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Observation f84ae14b-6f4d-401a-9d8f-a9a35e0ce20d · outbound

This paper cites FlashAttention-2: Faster Attention with Better Parallelism and Work Partitioning.

Surface Vision Mamba: Leveraging Bidirectional State Space Model for Efficient Spherical Manifold Representation FlashAttention-2: Faster Attention with Better Parallelism and Work Partitioning

Reference 4

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Observation 21c4d64e-15be-4335-bfff-3d0f2de51b70 · outbound

This paper cites Benchmarking geometric deep learning for cortical segmentation and neurodevel- opmental phenotype prediction.

Surface Vision Mamba: Leveraging Bidirectional State Space Model for Efficient Spherical Manifold Representation Benchmarking geometric deep learning for cortical segmentation and neurodevel- opmental phenotype prediction

Reference 7

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Observation 985529b1-0aa5-4dc2-a2a2-6a28af128c19 · outbound

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

Surface Vision Mamba: Leveraging Bidirectional State Space Model for Efficient Spherical Manifold Representation Mamba: Linear-Time Sequence Modeling with Selective State Spaces

Reference 9

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Observation 35d4acfd-ad9c-4632-8d03-0411989d360e · outbound

This paper cites Hippo: Recurrent memory with optimal polynomial projections.

Surface Vision Mamba: Leveraging Bidirectional State Space Model for Efficient Spherical Manifold Representation Hippo: Recurrent memory with optimal polynomial projections

Reference 10

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Observation ccb5b9db-b4c8-444f-befd-24708196cf78 · outbound

This paper cites Efficiently Modeling Long Sequences with Structured State Spaces.

Surface Vision Mamba: Leveraging Bidirectional State Space Model for Efficient Spherical Manifold Representation Efficiently Modeling Long Sequences with Structured State Spaces

Reference 11

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Observation f615bfcd-c344-4130-9d05-a1b63bafbcf9 · outbound

This paper cites Vision gnn: An image is worth graph of nodes.

Surface Vision Mamba: Leveraging Bidirectional State Space Model for Efficient Spherical Manifold Representation Vision gnn: An image is worth graph of nodes

Reference 12

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Observation 756053e9-c287-4a06-8bfd-31859cef7a98 · outbound

This paper cites HyperAttention: Long-context Attention in Near-Linear Time.

Surface Vision Mamba: Leveraging Bidirectional State Space Model for Efficient Spherical Manifold Representation HyperAttention: Long-context Attention in Near-Linear Time

Reference 13

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Observation 6a57cc04-49eb-4e25-a46c-5ba32e1f8e33 · outbound

This paper cites Demystify Mamba in Vision: A Linear Attention Perspective.

Surface Vision Mamba: Leveraging Bidirectional State Space Model for Efficient Spherical Manifold Representation Demystify Mamba in Vision: A Linear Attention Perspective

Reference 14

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Observation 7e391432-8fd9-4e14-b318-f1e42e2f9421 · outbound

This paper cites Vmamba: Visual state space model,.

Surface Vision Mamba: Leveraging Bidirectional State Space Model for Efficient Spherical Manifold Representation Vmamba: Visual state space model,

Reference 17

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Observation f22713ac-6e67-44c2-b80d-5974472c5123 · outbound

This paper cites Recurrent neural networks.

Surface Vision Mamba: Leveraging Bidirectional State Space Model for Efficient Spherical Manifold Representation Recurrent neural networks

Reference 18

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Observation b0616c2e-37a5-4b96-bed5-87e8d411d3fa · outbound

This paper cites Sensitivity analysis for im- portance assessment.

Surface Vision Mamba: Leveraging Bidirectional State Space Model for Efficient Spherical Manifold Representation Sensitivity analysis for im- portance assessment

Reference 22

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Observation 72178eac-b9f8-4e85-80c9-d1d25e6b0e5a · outbound

This paper cites Attention is all you need.

Surface Vision Mamba: Leveraging Bidirectional State Space Model for Efficient Spherical Manifold Representation Attention is all you need

Reference 24

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Observation 92e022c1-88c2-4e12-a4bf-ef9516cbf341 · outbound

This paper cites Geometric deep learning for post- menstrual age prediction based on the neonatal white mat- ter cortical surface.

Surface Vision Mamba: Leveraging Bidirectional State Space Model for Efficient Spherical Manifold Representation Geometric deep learning for post- menstrual age prediction based on the neonatal white mat- ter cortical surface

Reference 25

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Observation 7faf03e6-288c-465d-81c2-68630ccfa2ee · outbound

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

Surface Vision Mamba: Leveraging Bidirectional State Space Model for Efficient Spherical Manifold Representation Linformer: Self-Attention with Linear Complexity

Reference 26

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Observation d7116ddd-2729-46ad-a519-e101d190346e · outbound

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

Surface Vision Mamba: Leveraging Bidirectional State Space Model for Efficient Spherical Manifold Representation MambaOut: Do We Really Need Mamba for Vision?

Reference 27

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Observation 342e4e7e-32fd-485d-a703-8b45a88c0a17 · outbound

This paper cites Spherical u-net on cortical surfaces: methods and applications.

Surface Vision Mamba: Leveraging Bidirectional State Space Model for Efficient Spherical Manifold Representation Spherical u-net on cortical surfaces: methods and applications

Reference 28

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Observation 114ab5df-ce15-4cdb-ae33-c1d3a0f0e5cf · outbound

This paper cites An attention-based hemispheric relation inference network for perinatal brain age predic- tion.

Surface Vision Mamba: Leveraging Bidirectional State Space Model for Efficient Spherical Manifold Representation An attention-based hemispheric relation inference network for perinatal brain age predic- tion

Reference 29

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Observation 88d321b4-7036-43d4-b57c-85d29ca99a2b · outbound

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

Surface Vision Mamba: Leveraging Bidirectional State Space Model for Efficient Spherical Manifold Representation Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model

Reference 30

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Observation a66e96c8-1dc8-49f1-b574-15e239d125c7 · outbound

This paper cites Geometric deep learning on graphs and manifolds using mixture model cnns.

Surface Vision Mamba: Leveraging Bidirectional State Space Model for Efficient Spherical Manifold Representation Geometric deep learning on graphs and manifolds using mixture model cnns

Reference 2001

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Observation 811c4102-3480-4d7c-8607-f1dbdcb0e50d · outbound

This paper cites FlashAttention-3: Fast and Accurate Attention with Asynchrony and Low-precision.

Surface Vision Mamba: Leveraging Bidirectional State Space Model for Efficient Spherical Manifold Representation FlashAttention-3: Fast and Accurate Attention with Asynchrony and Low-precision

Reference 2002

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Observation 6e780a86-9e25-48a1-9e2c-33c55813cf6e · outbound

This paper cites Blockwise Self-Attention for Long Document Understanding.

Surface Vision Mamba: Leveraging Bidirectional State Space Model for Efficient Spherical Manifold Representation Blockwise Self-Attention for Long Document Understanding

Reference 2017

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Observation 733c1ea8-2b67-4a20-96c5-9806c38c0d88 · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

Surface Vision Mamba: Leveraging Bidirectional State Space Model for Efficient Spherical Manifold Representation An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 2018

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This paper cites Autoregressive Pretraining with Mamba in Vision.

Surface Vision Mamba: Leveraging Bidirectional State Space Model for Efficient Spherical Manifold Representation Autoregressive Pretraining with Mamba in Vision

Reference 2019

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Observation ff447f76-4ffb-4bc7-a53b-3d74285483e6 · outbound

This paper cites Surface vision transformers: Attention-based modelling applied to cortical analysis.

Surface Vision Mamba: Leveraging Bidirectional State Space Model for Efficient Spherical Manifold Representation Surface vision transformers: Attention-based modelling applied to cortical analysis

Reference 2020

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This paper cites Gpt-3: Its nature, scope, limits, and conse- quences.

Surface Vision Mamba: Leveraging Bidirectional State Space Model for Efficient Spherical Manifold Representation Gpt-3: Its nature, scope, limits, and conse- quences

Reference 2021

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Observation 5b71a3ea-8921-41c2-9714-4f1fd404f698 · outbound

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

Surface Vision Mamba: Leveraging Bidirectional State Space Model for Efficient Spherical Manifold Representation Flashattention: Fast and memory-efficient exact attention with io-awareness

Reference 2022

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verified fuzzy
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This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.

Surface Vision Mamba: Leveraging Bidirectional State Space Model for Efficient Spherical Manifold Representation BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 2023

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This paper cites Agent attention: On the integration of soft- max and linear attention.

Surface Vision Mamba: Leveraging Bidirectional State Space Model for Efficient Spherical Manifold Representation Agent attention: On the integration of soft- max and linear attention

Reference 2024

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Observation d758621f-20d7-4bde-b31d-706c6338ba3f · outbound

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

Surface Vision Mamba: Leveraging Bidirectional State Space Model for Efficient Spherical Manifold Representation Swin transformer: Hierarchical vision transformer using shifted windows

Reference 2025

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verified fuzzy
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Source-reported events for the cited work

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Pith citing papers

No inbound Pith citation observations are available.