Paper Citation Record · LEDGER

Flatten Wisely: How Patch Order Shapes Mamba-Powered Vision for MRI Segmentation

As of 14 August 2026, this Paper Citation Record lists 22 of 22 outbound references and 1 inbound Pith citation observation for arXiv:2507.13384.

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

pith.paper-citation-record.v1
2507.13384 v1

Coverage vector

measured 22 of 22 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T17:08:27.267838Z

measured 23 of 23 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T04:45:32.023224Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

22 of 22 outbound references displayed

verified exact2
verified fuzzy9
unresolved11
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 7a1b7e74-0afa-475f-a440-741357e28475 · outbound

This paper cites U-net: Convolutional networks for biomedical image segmentation,.

Flatten Wisely: How Patch Order Shapes Mamba-Powered Vision for MRI Segmentation U-net: Convolutional networks for biomedical image segmentation,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:08:29.685702Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 414a66bb-1852-440b-89e7-efd43e1b8c6b · outbound

This paper cites Understanding the Effective Receptive Field in Deep Convolutional Neural Networks.

Flatten Wisely: How Patch Order Shapes Mamba-Powered Vision for MRI Segmentation Understanding the Effective Receptive Field in Deep Convolutional Neural Networks

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-06T17:08:24.931975Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b5f3f3b5-7f7c-4291-b52f-341bd34fee14 · outbound

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

Flatten Wisely: How Patch Order Shapes Mamba-Powered Vision for MRI Segmentation An image is worth 16×16 words: Transformers for image recognition at scale,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:08:29.491453Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 0c331e04-bbc1-43ea-98ed-87e5f1eb3597 · outbound

This paper cites Deep learning for medical image segmentation: A comprehensive review of current techniques and future trends,.

Flatten Wisely: How Patch Order Shapes Mamba-Powered Vision for MRI Segmentation Deep learning for medical image segmentation: A comprehensive review of current techniques and future trends,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:08:29.310444Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 2dd14397-373f-4298-a6ba-362f45c23d39 · outbound

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

Flatten Wisely: How Patch Order Shapes Mamba-Powered Vision for MRI Segmentation Efficiently Modeling Long Sequences with Structured State Spaces

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-06T17:08:25.271418Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4a81914b-1f6d-4a0f-a744-d9c189659c7b · outbound

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

Flatten Wisely: How Patch Order Shapes Mamba-Powered Vision for MRI Segmentation Mamba: Linear-Time Sequence Modeling with Selective State Spaces

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-06T17:08:25.386232Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation be6d8a49-8df8-4661-b827-4d187e476a62 · outbound

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

Flatten Wisely: How Patch Order Shapes Mamba-Powered Vision for MRI Segmentation Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-06T17:08:25.473870Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 540d4cf9-f47d-4a77-9043-5e610ed5e920 · outbound

This paper cites VMamba: Visual State Space Model.

Flatten Wisely: How Patch Order Shapes Mamba-Powered Vision for MRI Segmentation VMamba: Visual State Space Model

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-06T17:08:25.576548Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e4db9849-06d7-41a0-b7e1-346f2de2dce3 · outbound

This paper cites PlainMamba: Improving Non-Hierarchical Mamba in Visual Recognition.

Flatten Wisely: How Patch Order Shapes Mamba-Powered Vision for MRI Segmentation PlainMamba: Improving Non-Hierarchical Mamba in Visual Recognition

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-06T17:08:25.667888Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c7bc0820-d1b2-4210-9e17-85c4b9b559f2 · outbound

This paper cites Rethinking Scanning Strategies with Vision Mamba in Semantic Segmentation of Remote Sensing Imagery: An Experimental Study.

Flatten Wisely: How Patch Order Shapes Mamba-Powered Vision for MRI Segmentation Rethinking Scanning Strategies with Vision Mamba in Semantic Segmentation of Remote Sensing Imagery: An Experimental Study

Reference 10

Resolution: verified exact; local_arxiv, observed 2026-08-06T17:08:27.877435Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 640bdb76-ad47-4c40-a867-523bea3ed388 · outbound

This paper cites Diffusion tensor imaging of the brain,.

Flatten Wisely: How Patch Order Shapes Mamba-Powered Vision for MRI Segmentation Diffusion tensor imaging of the brain,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:08:29.159669Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 38b9463c-f5e6-4ffb-ba6c-c68ad82f133f · outbound

This paper cites Anisotropic diffusion tensor imaging for tracking white- matter fiber tracts,.

Flatten Wisely: How Patch Order Shapes Mamba-Powered Vision for MRI Segmentation Anisotropic diffusion tensor imaging for tracking white- matter fiber tracts,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:08:28.974828Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation ad37086f-812d-43b1-a4d5-351fd58ea6cf · outbound

This paper cites ISLES 2022: A multi-center mri stroke-lesion segmentation dataset,.

Flatten Wisely: How Patch Order Shapes Mamba-Powered Vision for MRI Segmentation ISLES 2022: A multi-center mri stroke-lesion segmentation dataset,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:08:28.754246Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation becb153c-3bbf-46fd-a807-2231f8c6b372 · outbound

This paper cites The multimodal brain tumor image segmentation benchmark (brats),.

Flatten Wisely: How Patch Order Shapes Mamba-Powered Vision for MRI Segmentation The multimodal brain tumor image segmentation benchmark (brats),

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:08:28.599244Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 86d04658-ca13-46a4-b647-b9f5333ec3b6 · outbound

This paper cites Advancing the cancer genome atlas glioma mri collections with expert segmentation labels and radiomic features,.

Flatten Wisely: How Patch Order Shapes Mamba-Powered Vision for MRI Segmentation Advancing the cancer genome atlas glioma mri collections with expert segmentation labels and radiomic features,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:08:28.398587Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 2eb5f3a6-4942-4ca4-9c19-b51443a8affb · outbound

This paper cites Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge.

Flatten Wisely: How Patch Order Shapes Mamba-Powered Vision for MRI Segmentation Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-06T17:08:26.619969Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3b9f139e-7ccf-48ed-a9b2-e67445f43f20 · outbound

This paper cites The cancer genome atlas low grade glioma collection (tcga-lgg) (version 3) [data set],.

Flatten Wisely: How Patch Order Shapes Mamba-Powered Vision for MRI Segmentation The cancer genome atlas low grade glioma collection (tcga-lgg) (version 3) [data set],

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:08:28.242199Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 76df9a1a-c8c1-44e1-b379-03f31d7a9b10 · outbound

This paper cites U-Mamba: Enhancing Long-range Dependency for Biomedical Image Segmentation.

Flatten Wisely: How Patch Order Shapes Mamba-Powered Vision for MRI Segmentation U-Mamba: Enhancing Long-range Dependency for Biomedical Image Segmentation

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-06T17:08:26.846328Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9b709971-3476-42da-81f7-c1a7c85e860f · outbound

This paper cites VM-UNet: Vision Mamba UNet for Medical Image Segmentation.

Flatten Wisely: How Patch Order Shapes Mamba-Powered Vision for MRI Segmentation VM-UNet: Vision Mamba UNet for Medical Image Segmentation

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-06T17:08:26.961134Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c559d187-da7e-4a9d-8eb9-9fabd60cf16a · outbound

This paper cites MSVM-UNet: Multi-Scale Vision Mamba UNet for Medical Image Segmentation.

Flatten Wisely: How Patch Order Shapes Mamba-Powered Vision for MRI Segmentation MSVM-UNet: Multi-Scale Vision Mamba UNet for Medical Image Segmentation

Reference 20

Resolution: verified exact; local_arxiv, observed 2026-08-06T17:08:27.563129Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation d24f96f5-ddfb-46fc-bae2-ebc5302e354b · outbound

This paper cites LKM-UNet: Large Kernel Vision Mamba UNet for Medical Image Segmentation.

Flatten Wisely: How Patch Order Shapes Mamba-Powered Vision for MRI Segmentation LKM-UNet: Large Kernel Vision Mamba UNet for Medical Image Segmentation

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-06T17:08:27.166874Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d68ede76-8ab4-47bd-9e5a-672a8f569e7b · outbound

This paper cites SegMamba: Long-range Sequential Modeling Mamba For 3D Medical Image Segmentation.

Flatten Wisely: How Patch Order Shapes Mamba-Powered Vision for MRI Segmentation SegMamba: Long-range Sequential Modeling Mamba For 3D Medical Image Segmentation

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-06T17:08:27.267838Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 6c3f6ad3-cce5-4a67-a8f6-69c2e8aefb06 · inbound

Partial Ring Scan: Revisiting Scan Order in Vision State Space Models cites this paper.

Partial Ring Scan: Revisiting Scan Order in Vision State Space Models Flatten Wisely: How Patch Order Shapes Mamba-Powered Vision for MRI Segmentation

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-03T04:45:32.023224Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.