Paper Citation Record · LEDGER

BrainMT: A Hybrid Mamba-Transformer Architecture for Modeling Long-Range Dependencies in Functional MRI Data

As of 8 August 2026, this Paper Citation Record lists 34 of 34 outbound references and 0 inbound Pith citation observations for arXiv:2506.22591.

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

pith.paper-citation-record.v1
2506.22591 v1

Coverage vector

measured 34 of 34 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T22:10:38.806688Z

measured 34 of 34 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+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

34 of 34 outbound references displayed

verified exact0
verified fuzzy24
unresolved10
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 3f9661f1-8964-465d-8ba7-1d2e8b33b13e · outbound

This paper cites NeuroImage147, 736–745 (2017).

BrainMT: A Hybrid Mamba-Transformer Architecture for Modeling Long-Range Dependencies in Functional MRI Data NeuroImage147, 736–745 (2017)

Reference 1

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Observation bee43370-dcf0-422a-a05d-66294db3e33e · outbound

This paper cites Neuroimage166, 400–424 (2018).

BrainMT: A Hybrid Mamba-Transformer Architecture for Modeling Long-Range Dependencies in Functional MRI Data Neuroimage166, 400–424 (2018)

Reference 2

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Observation 0a110dee-af8c-4cd7-a910-cc011b704686 · outbound

This paper cites In: Proceedings of the IEEE/CVF international confer- ence on computer vision.

BrainMT: A Hybrid Mamba-Transformer Architecture for Modeling Long-Range Dependencies in Functional MRI Data In: Proceedings of the IEEE/CVF international confer- ence on computer vision

Reference 3

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Source-reported events for the cited work

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Observation c7a46bd8-8f2b-464f-92e3-a901ef18b42d · outbound

This paper cites an unresolved cited work.

BrainMT: A Hybrid Mamba-Transformer Architecture for Modeling Long-Range Dependencies in Functional MRI Data Unresolved cited work

Reference 4

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Observation afdfb6c7-35b2-4ca8-9be4-a9ac57371e65 · outbound

This paper cites In: Proceedings of the 22nd acm sigkdd international conference on knowledge discovery and data mining.

BrainMT: A Hybrid Mamba-Transformer Architecture for Modeling Long-Range Dependencies in Functional MRI Data In: Proceedings of the 22nd acm sigkdd international conference on knowledge discovery and data mining

Reference 5

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Observation 5ece85e5-d0f1-46e2-b494-81faaf1b3786 · outbound

This paper cites In: Medical Imaging with Deep Learning.

BrainMT: A Hybrid Mamba-Transformer Architecture for Modeling Long-Range Dependencies in Functional MRI Data In: Medical Imaging with Deep Learning

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:10:42.814350Z

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Observation 6d6d3fd8-f704-4652-b8d1-3b5f9ffb79e9 · outbound

This paper cites Nature536(7615), 171–178 (2016).

BrainMT: A Hybrid Mamba-Transformer Architecture for Modeling Long-Range Dependencies in Functional MRI Data Nature536(7615), 171–178 (2016)

Reference 7

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Observation bce3b0fb-7dd9-44a5-a2fb-861cd196ea7f · outbound

This paper cites Neuroimage80, 105– 124 (2013) 10 A.

BrainMT: A Hybrid Mamba-Transformer Architecture for Modeling Long-Range Dependencies in Functional MRI Data Neuroimage80, 105– 124 (2013) 10 A

Reference 8

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Observation 0c894a77-2aba-48c1-b9bc-1b2c354a26f8 · outbound

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

BrainMT: A Hybrid Mamba-Transformer Architecture for Modeling Long-Range Dependencies in Functional MRI Data Mamba: Linear-Time Sequence Modeling with Selective State Spaces

Reference 9

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Observation 5180ccf7-56d4-4c06-b0f3-71fe3a86cdad · outbound

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

BrainMT: A Hybrid Mamba-Transformer Architecture for Modeling Long-Range Dependencies in Functional MRI Data MambaVision: A Hybrid Mamba-Transformer Vision Backbone

Reference 10

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Source-reported events for the cited work

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Observation d7beb796-0307-40e9-a079-fb5de5c2b39e · outbound

This paper cites Advances in Neural Information Processing Systems 35, 25586–25599 (2022).

BrainMT: A Hybrid Mamba-Transformer Architecture for Modeling Long-Range Dependencies in Functional MRI Data Advances in Neural Information Processing Systems 35, 25586–25599 (2022)

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:10:42.386915Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 2c696569-3926-43b6-9203-eaa1d7eebce7 · outbound

This paper cites In: International Workshop on Machine Learn- ing in Clinical Neuroimaging.

BrainMT: A Hybrid Mamba-Transformer Architecture for Modeling Long-Range Dependencies in Functional MRI Data In: International Workshop on Machine Learn- ing in Clinical Neuroimaging

Reference 12

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Source-reported events for the cited work

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Observation 7d2c79ff-d2ce-4ad9-a836-ea0ed7b15a01 · outbound

This paper cites NeuroImage 146, 1038– 1049 (2017).

BrainMT: A Hybrid Mamba-Transformer Architecture for Modeling Long-Range Dependencies in Functional MRI Data NeuroImage 146, 1038– 1049 (2017)

Reference 13

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Source-reported events for the cited work

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Observation 60aefdd7-d4ef-4fa5-97a6-283ace6e18ea · outbound

This paper cites Neu- roImage 199, 651–662 (2019).

BrainMT: A Hybrid Mamba-Transformer Architecture for Modeling Long-Range Dependencies in Functional MRI Data Neu- roImage 199, 651–662 (2019)

Reference 14

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Observation 8d13c2dc-d9cd-48fc-8837-ce127e634b96 · outbound

This paper cites Magnetic resonance imaging64, 101–121 (2019).

BrainMT: A Hybrid Mamba-Transformer Architecture for Modeling Long-Range Dependencies in Functional MRI Data Magnetic resonance imaging64, 101–121 (2019)

Reference 15

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Observation 1838a948-dfe6-47de-9f8a-c9b01ea6b986 · outbound

This paper cites Advances in Neural Information Processing Systems 36, 42015–42037 (2023).

BrainMT: A Hybrid Mamba-Transformer Architecture for Modeling Long-Range Dependencies in Functional MRI Data Advances in Neural Information Processing Systems 36, 42015–42037 (2023)

Reference 16

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Observation 9a9e5812-55b6-42c6-941e-827ddc8a5a12 · outbound

This paper cites In: European Conference on Computer Vision.

BrainMT: A Hybrid Mamba-Transformer Architecture for Modeling Long-Range Dependencies in Functional MRI Data In: European Conference on Computer Vision

Reference 17

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Observation e533bcda-4213-410c-b112-d63900f1e648 · outbound

This paper cites Neurocomputing388, 280–287 (2020).

BrainMT: A Hybrid Mamba-Transformer Architecture for Modeling Long-Range Dependencies in Functional MRI Data Neurocomputing388, 280–287 (2020)

Reference 18

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Observation 0f5164fd-52fd-404f-9b54-d7cde8323bfe · outbound

This paper cites Medical Image Analysis74, 102233 (2021).

BrainMT: A Hybrid Mamba-Transformer Architecture for Modeling Long-Range Dependencies in Functional MRI Data Medical Image Analysis74, 102233 (2021)

Reference 19

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Observation 18032331-1ce2-4aa4-923d-0cd8b02d597e · outbound

This paper cites Statistical science (4), 439– 464 (2008).

BrainMT: A Hybrid Mamba-Transformer Architecture for Modeling Long-Range Dependencies in Functional MRI Data Statistical science (4), 439– 464 (2008)

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:10:41.070946Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 7c9a9469-4805-4c4f-be47-9ae1455f7abf · outbound

This paper cites Annual Review of Statistics and Its Application12 (2024).

BrainMT: A Hybrid Mamba-Transformer Architecture for Modeling Long-Range Dependencies in Functional MRI Data Annual Review of Statistics and Its Application12 (2024)

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:10:40.882753Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 5bd7f03f-3d4c-4bf9-89c6-90b46f5b8025 · outbound

This paper cites In: The Thirty-eighth Annual Conference on Neural Information Processing Systems (2024),https://openreview.net/forum? id=ZgtLQQR1K7.

BrainMT: A Hybrid Mamba-Transformer Architecture for Modeling Long-Range Dependencies in Functional MRI Data In: The Thirty-eighth Annual Conference on Neural Information Processing Systems (2024),https://openreview.net/forum? id=ZgtLQQR1K7

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:10:40.674374Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 47f17f80-4917-42dd-92fa-28be4c23c755 · outbound

This paper cites In: International Conference on Medical Imaging with Deep Learning.

BrainMT: A Hybrid Mamba-Transformer Architecture for Modeling Long-Range Dependencies in Functional MRI Data In: International Conference on Medical Imaging with Deep Learning

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:10:40.436963Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation adb2dc8b-12bb-4fc6-8e3f-9fb3e431152f · outbound

This paper cites Trends in cognitive sciences15(10), 483–506 (2011).

BrainMT: A Hybrid Mamba-Transformer Architecture for Modeling Long-Range Dependencies in Functional MRI Data Trends in cognitive sciences15(10), 483–506 (2011)

Reference 24

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 793c6eaa-f254-4374-9726-59513d68b792 · outbound

This paper cites In: Machine Learning for Health.

BrainMT: A Hybrid Mamba-Transformer Architecture for Modeling Long-Range Dependencies in Functional MRI Data In: Machine Learning for Health

Reference 25

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 5c72f165-3a2b-4ec2-830f-83ac9a7aec72 · outbound

This paper cites In: European Conference on Computer Vision.

BrainMT: A Hybrid Mamba-Transformer Architecture for Modeling Long-Range Dependencies in Functional MRI Data In: European Conference on Computer Vision

Reference 26

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Observation dfc8f34e-4804-4843-bc44-7e6e9a843d07 · outbound

This paper cites Proceedings of the National Academy of Sciences 121(9), e2310012121 (2024).

BrainMT: A Hybrid Mamba-Transformer Architecture for Modeling Long-Range Dependencies in Functional MRI Data Proceedings of the National Academy of Sciences 121(9), e2310012121 (2024)

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:10:39.740474Z

Source-reported events for the cited work

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Observation 972509ca-fc3e-4d96-ad55-f03f9f9ff4d7 · outbound

This paper cites Journal of Neuroscience31(12), 4407–4420 (2011).

BrainMT: A Hybrid Mamba-Transformer Architecture for Modeling Long-Range Dependencies in Functional MRI Data Journal of Neuroscience31(12), 4407–4420 (2011)

Reference 28

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Observation b9d7c155-e88f-497a-963f-e379da036c48 · outbound

This paper cites Frontiers in Neuroimaging2, 1178359 (2023).

BrainMT: A Hybrid Mamba-Transformer Architecture for Modeling Long-Range Dependencies in Functional MRI Data Frontiers in Neuroimaging2, 1178359 (2023)

Reference 29

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Observation 2a12ef98-04e8-43f5-9652-ede3c2fc38ed · outbound

This paper cites Neuroimage80, 144–168 (2013).

BrainMT: A Hybrid Mamba-Transformer Architecture for Modeling Long-Range Dependencies in Functional MRI Data Neuroimage80, 144–168 (2013)

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:10:39.126482Z

Source-reported events for the cited work

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Observation 84028268-011d-42e3-ab78-4a935678f6b9 · outbound

This paper cites PLoS medicine 12(3), e1001779 (2015).

BrainMT: A Hybrid Mamba-Transformer Architecture for Modeling Long-Range Dependencies in Functional MRI Data PLoS medicine 12(3), e1001779 (2015)

Reference 31

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Observation 3bd2bcf4-e36d-4d77-92bb-b2a15b44cfd5 · outbound

This paper cites In: International conference on machine learning.

BrainMT: A Hybrid Mamba-Transformer Architecture for Modeling Long-Range Dependencies in Functional MRI Data In: International conference on machine learning

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-06T22:10:38.631571Z

Source-reported events for the cited work

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Observation d3a2be5a-a411-41e4-9f6e-f9e61943dc1d · outbound

This paper cites Cerebral cortex30(2), 824–835 (2020).

BrainMT: A Hybrid Mamba-Transformer Architecture for Modeling Long-Range Dependencies in Functional MRI Data Cerebral cortex30(2), 824–835 (2020)

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:10:38.955702Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 7b9550d1-bb76-434c-bb82-5a3223b30c8e · outbound

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

BrainMT: A Hybrid Mamba-Transformer Architecture for Modeling Long-Range Dependencies in Functional MRI Data Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-06T22:10:38.806688Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.