Paper Citation Record · LEDGER

SegMamba: Long-range Sequential Modeling Mamba For 3D Medical Image Segmentation

As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2401.13560.

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

pith.paper-citation-record.v1
2401.13560 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 10 of 10 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00

measured 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T08:48:59.590410Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T09:49:44.598723Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 22d31148-7652-4260-9bce-760fdf8c04c0 · inbound

Gated Linear Attention Transformers with Hardware-Efficient Training cites this paper.

Gated Linear Attention Transformers with Hardware-Efficient Training SegMamba: Long-range Sequential Modeling Mamba For 3D Medical Image Segmentation

Reference 100

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T01:15:14.211879Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation d9768d8d-6347-41bc-b6de-347f05a6960a · inbound

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

Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model SegMamba: Long-range Sequential Modeling Mamba For 3D Medical Image Segmentation

Reference 76

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T21:37:00.374512Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation e57e334a-163b-43ae-94d9-2119286ef74d · inbound

3DMambaComplete: Exploring Structured State Space Model for Point Cloud Completion cites this paper.

3DMambaComplete: Exploring Structured State Space Model for Point Cloud Completion SegMamba: Long-range Sequential Modeling Mamba For 3D Medical Image Segmentation

Reference 44

Resolution: verified exact; arxiv_id, observed 2026-05-24T02:13:45.196567Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 168b6eaa-f924-4128-b498-c9ab4843b51f · inbound

SegSTRONG-C: Segmenting Surgical Tools Robustly On Non-adversarial Generated Corruptions -- An EndoVis'24 Challenge cites this paper.

SegSTRONG-C: Segmenting Surgical Tools Robustly On Non-adversarial Generated Corruptions -- An EndoVis'24 Challenge SegMamba: Long-range Sequential Modeling Mamba For 3D Medical Image Segmentation

Reference 55

Resolution: verified exact; arxiv_id, observed 2026-05-23T22:45:50.778823Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation ef422f0a-f867-44cc-bea5-58886d58e0a3 · inbound

A Survey of Mamba cites this paper.

A Survey of Mamba SegMamba: Long-range Sequential Modeling Mamba For 3D Medical Image Segmentation

Reference 208

Resolution: verified exact; arxiv_id, observed 2026-05-23T22:13:31.038222Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 1e56b2fc-1bad-4787-a512-412c07fd2812 · inbound

Diffusion Model-Based Data Augmentation for Enhanced Neuron Segmentation cites this paper.

Diffusion Model-Based Data Augmentation for Enhanced Neuron Segmentation SegMamba: Long-range Sequential Modeling Mamba For 3D Medical Image Segmentation

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-03T08:48:59.590410Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 78804206-617c-4552-a333-77ebf91c61e6 · inbound

EmambaIR: Efficient Visual State Space Model for Event-guided Image Reconstruction cites this paper.

EmambaIR: Efficient Visual State Space Model for Event-guided Image Reconstruction SegMamba: Long-range Sequential Modeling Mamba For 3D Medical Image Segmentation

Reference 52

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T04:00:54.688176Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 9a4fbdcc-e83e-4a05-8a91-3a07e8deae67 · inbound

ConvNeXt-FD: A Fractal-Based Deep Model for Robust Biomedical Image Segmentation cites this paper.

ConvNeXt-FD: A Fractal-Based Deep Model for Robust Biomedical Image Segmentation SegMamba: Long-range Sequential Modeling Mamba For 3D Medical Image Segmentation

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-22T07:41:15.213630Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation b7e293b4-67d3-439a-a1ea-1d273523678e · inbound

MambaADv2: Evolving Duality-enhanced State Space Model for Unsupervised Anomaly Detection cites this paper.

MambaADv2: Evolving Duality-enhanced State Space Model for Unsupervised Anomaly Detection SegMamba: Long-range Sequential Modeling Mamba For 3D Medical Image Segmentation

Reference 92

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T09:49:44.600134Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 58575365-ff08-4342-8ccc-65021dde4e7b · inbound

A Unified Benchmark of Deep Learning Models for Multi-task 3D Brain Tumor Segmentation from Magnetic Resonance Imaging cites this paper.

A Unified Benchmark of Deep Learning Models for Multi-task 3D Brain Tumor Segmentation from Magnetic Resonance Imaging SegMamba: Long-range Sequential Modeling Mamba For 3D Medical Image Segmentation

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-03T01:30:18.487670Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.