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Paper Citation Record · LEDGER

nnMamba: 3D Biomedical Image Segmentation, Classification and Landmark Detection with State Space Model

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2402.03526.

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

pith.paper-citation-record.v1
2402.03526 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T04:51:40.767690Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T22:13:30.656267Z

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 22f83903-439c-4d84-a777-2da498d1f205 · inbound

A Survey of Mamba cites this paper.

A Survey of Mamba nnMamba: 3D Biomedical Image Segmentation, Classification and Landmark Detection with State Space Model

Reference 54

Resolution
verified exact
arxiv_id, observed 2026-05-23T22:13:30.659879Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-23T22:09:19.917854Z digest=sha256:5e51ec0c13d706ca4326e995cccccb6f7391a76af89d73f9ce874e9311aeb319

Observation ca7c4c8d-c259-49e0-98b8-42cf97c59ccb · inbound

ADAgent: LLM Agent for Alzheimer's Disease Analysis with Collaborative Coordinator cites this paper.

ADAgent: LLM Agent for Alzheimer's Disease Analysis with Collaborative Coordinator nnMamba: 3D Biomedical Image Segmentation, Classification and Landmark Detection with State Space Model

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-07T04:51:40.767690Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:51:40.767690Z digest=sha256:632b883623cfb95158b21cc23b7ee173f411a5f8e74d31b69523eb04d77cb2fd

Observation 0c1c8106-a398-4e6e-8695-c6209f375685 · inbound

ASM-UNet: Adaptive Scan Mamba Integrating Group Commonalities and Individual Variations for Fine-Grained Segmentation cites this paper.

ASM-UNet: Adaptive Scan Mamba Integrating Group Commonalities and Individual Variations for Fine-Grained Segmentation nnMamba: 3D Biomedical Image Segmentation, Classification and Landmark Detection with State Space Model

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-05T22:19:05.743273Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T22:19:05.743273Z digest=sha256:dccf89caee8d687023b6bfcc9349215cc6332ae210307401fb82959857c8fe79

Observation 9d174189-e895-42d5-bd7c-86f523521860 · inbound

Learning Coarse-to-Fine Osteoarthritis Representations under Noisy Hierarchical Labels cites this paper.

Learning Coarse-to-Fine Osteoarthritis Representations under Noisy Hierarchical Labels nnMamba: 3D Biomedical Image Segmentation, Classification and Landmark Detection with State Space Model

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-05-11T15:41:23.208393Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-09T19:29:15.038089Z digest=sha256:68eb4e9efbb84f04931a5ae16711b72d539f1a6e901004e38b17d22f3428e3c4

Observation e62fc2fd-740f-455e-b0f4-2a25b1b103f7 · inbound

AGA3DNet: Anatomy-Guided Gaussian Priors with Multi-view xLSTM for 3D Brain MRI Subtype Classification cites this paper.

AGA3DNet: Anatomy-Guided Gaussian Priors with Multi-view xLSTM for 3D Brain MRI Subtype Classification nnMamba: 3D Biomedical Image Segmentation, Classification and Landmark Detection with State Space Model

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-05-11T01:45:51.779344Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-11T01:29:48.433348Z digest=sha256:e9d381206a9607c82fd6b38d1add377f8eca5aeacc069d64630bfbaf4c75e0a6