Paper Citation Record · LEDGER

DM-SegNet: Dual-Mamba Architecture for 3D Medical Image Segmentation with Global Context Modeling

As of 17 August 2026, this Paper Citation Record lists 21 of 21 outbound references and 0 inbound Pith citation observations for arXiv:2506.05297.

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

pith.paper-citation-record.v1
2506.05297 v1

Coverage vector

measured 21 of 21 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T10:26:56.797903Z

measured 21 of 21 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+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

21 of 21 outbound references displayed

verified exact2
verified fuzzy1
unresolved18
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d4e2ade9-adbb-47e6-beb9-529d1d4e380c · outbound

This paper cites Niyas, S.

DM-SegNet: Dual-Mamba Architecture for 3D Medical Image Segmentation with Global Context Modeling Niyas, S

Reference 1

Resolution: verified exact; doi, observed 2026-08-07T10:26:57.345901Z

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 107ab762-eb54-4e9d-b2b3-0fff8b5516c5 · outbound

This paper cites Litjens, T.

DM-SegNet: Dual-Mamba Architecture for 3D Medical Image Segmentation with Global Context Modeling Litjens, T

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-07T10:26:55.090169Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1d470e0b-7334-477a-9373-d6976d5be3e7 · outbound

This paper cites Shorten, T.

DM-SegNet: Dual-Mamba Architecture for 3D Medical Image Segmentation with Global Context Modeling Shorten, T

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-07T10:26:55.181392Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f361f95a-25fa-41f0-b52a-53fa449ccf09 · outbound

This paper cites Çiçek, A.

DM-SegNet: Dual-Mamba Architecture for 3D Medical Image Segmentation with Global Context Modeling Çiçek, A

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-07T10:26:55.278852Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 53238fd0-7777-4e4a-82a5-e346ed1adfe5 · outbound

This paper cites UNETR: Transformers for 3D Medical Image Segmentation.

DM-SegNet: Dual-Mamba Architecture for 3D Medical Image Segmentation with Global Context Modeling UNETR: Transformers for 3D Medical Image Segmentation

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-07T10:26:55.350569Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4a6aa96c-61d9-4698-a8c4-f9385d60f6d5 · outbound

This paper cites Swin-Unet: Unet-like Pure Transformer for Medical Image Segmentation.

DM-SegNet: Dual-Mamba Architecture for 3D Medical Image Segmentation with Global Context Modeling Swin-Unet: Unet-like Pure Transformer for Medical Image Segmentation

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-07T10:26:55.426787Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a15c5805-6a22-4211-9e55-aae469401b5e · outbound

This paper cites Attention Is All You Need.

DM-SegNet: Dual-Mamba Architecture for 3D Medical Image Segmentation with Global Context Modeling Attention Is All You Need

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T10:26:55.518113Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c2317e2d-1d14-403b-9c4b-40c189c6cee2 · outbound

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

DM-SegNet: Dual-Mamba Architecture for 3D Medical Image Segmentation with Global Context Modeling Efficiently Modeling Long Sequences with Structured State Spaces

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-07T10:26:55.612940Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fa71e694-47cc-4022-a7ae-6011724a115b · outbound

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

DM-SegNet: Dual-Mamba Architecture for 3D Medical Image Segmentation with Global Context Modeling Mamba: Linear-Time Sequence Modeling with Selective State Spaces

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T10:26:55.646656Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4146ada6-2170-4cd1-9796-a415f84e0948 · outbound

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

DM-SegNet: Dual-Mamba Architecture for 3D Medical Image Segmentation with Global Context Modeling U-Mamba: Enhancing Long-range Dependency for Biomedical Image Segmentation

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T10:26:55.709430Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fccd453d-8746-4b2f-8a8f-84a1705651ef · outbound

This paper cites an unresolved cited work.

DM-SegNet: Dual-Mamba Architecture for 3D Medical Image Segmentation with Global Context Modeling Unresolved cited work

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T10:26:55.797303Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1b653efa-53cd-4511-810b-d808dc36fe52 · outbound

This paper cites 3D UX-Net: A Large Kernel Volumetric ConvNet Modernizing Hierarchical Transformer for Medical Image Segmentation.

DM-SegNet: Dual-Mamba Architecture for 3D Medical Image Segmentation with Global Context Modeling 3D UX-Net: A Large Kernel Volumetric ConvNet Modernizing Hierarchical Transformer for Medical Image Segmentation

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T10:26:55.892236Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0c0a61bc-3c49-44c7-ba18-92c83c8696a9 · outbound

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

DM-SegNet: Dual-Mamba Architecture for 3D Medical Image Segmentation with Global Context Modeling SegMamba: Long-range Sequential Modeling Mamba For 3D Medical Image Segmentation

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T10:26:55.996147Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3cf41253-9b79-4aaf-92c1-e918eb0e8f7f · outbound

This paper cites VMamba: Visual State Space Model.

DM-SegNet: Dual-Mamba Architecture for 3D Medical Image Segmentation with Global Context Modeling VMamba: Visual State Space Model

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T10:26:56.108464Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 91b30dbe-0a24-4625-8763-a19f8308f335 · outbound

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

DM-SegNet: Dual-Mamba Architecture for 3D Medical Image Segmentation with Global Context Modeling PlainMamba: Improving Non-Hierarchical Mamba in Visual Recognition

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T10:26:56.179958Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b8b8694b-91e3-4def-9238-ec831e4d0f17 · outbound

This paper cites an unresolved cited work.

DM-SegNet: Dual-Mamba Architecture for 3D Medical Image Segmentation with Global Context Modeling Unresolved cited work

Reference 16

Resolution: unresolved; raw_fallback, observed 2026-08-07T10:26:57.704959Z

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 e2c3c97a-9d50-475f-95a6-6c815f30266b · outbound

This paper cites Landman, Z.

DM-SegNet: Dual-Mamba Architecture for 3D Medical Image Segmentation with Global Context Modeling Landman, Z

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:26:57.569201Z

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 c33b58a1-7a1e-450a-bea5-aefe03eab523 · outbound

This paper cites The Brain Tumor Segmentation (BraTS) Challenge 2023: Focus on Pediatrics (CBTN-CONNECT-DIPGR-ASNR-MICCAI BraTS-PEDs).

DM-SegNet: Dual-Mamba Architecture for 3D Medical Image Segmentation with Global Context Modeling The Brain Tumor Segmentation (BraTS) Challenge 2023: Focus on Pediatrics (CBTN-CONNECT-DIPGR-ASNR-MICCAI BraTS-PEDs)

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-07T10:26:56.488871Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 25d58a33-d676-4b28-9266-588808940675 · outbound

This paper cites an unresolved cited work.

DM-SegNet: Dual-Mamba Architecture for 3D Medical Image Segmentation with Global Context Modeling Unresolved cited work

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-07T10:26:56.586609Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4d751079-2ade-4154-a8bf-0f9ca0eb7562 · outbound

This paper cites 3D MRI brain tumor segmentation using autoencoder regularization.

DM-SegNet: Dual-Mamba Architecture for 3D Medical Image Segmentation with Global Context Modeling 3D MRI brain tumor segmentation using autoencoder regularization

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T10:26:56.716879Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 181d61da-184e-4c65-a3f1-fee1fa5edb7f · outbound

This paper cites SegFormer3D: an Efficient Transformer for 3D Medical Image Segmentation.

DM-SegNet: Dual-Mamba Architecture for 3D Medical Image Segmentation with Global Context Modeling SegFormer3D: an Efficient Transformer for 3D Medical Image Segmentation

Reference 21

Resolution: verified exact; local_arxiv, observed 2026-08-07T10:26:56.993060Z

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.

Pith citing papers

No inbound Pith citation observations are available.