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Paper Citation Record · LEDGER

HC-Mamba: Vision MAMBA with Hybrid Convolutional Techniques for Medical Image Segmentation

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2405.05007.

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

pith.paper-citation-record.v1
2405.05007 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T10:42:22.926451Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T06:45:29.613976Z

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 4ecb68c4-d702-4f7e-b177-0ccad694eac8 · inbound

FAN-Unet: Enhancing Unet with vision Fourier Analysis Block for Biomedical Image Segmentation cites this paper.

FAN-Unet: Enhancing Unet with vision Fourier Analysis Block for Biomedical Image Segmentation HC-Mamba: Vision MAMBA with Hybrid Convolutional Techniques for Medical Image Segmentation

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-12T10:44:03.466179Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:44:03.466179Z digest=sha256:7f94bb75f9d8e7e72a0b636cd97d24d55182a279d51283d568fff4c94295c80a

Observation 6d5f4d3d-a854-487b-82fb-85ebec8d5fe0 · inbound

Mamba-Sea: A Mamba-based Framework with Global-to-Local Sequence Augmentation for Generalizable Medical Image Segmentation cites this paper.

Mamba-Sea: A Mamba-based Framework with Global-to-Local Sequence Augmentation for Generalizable Medical Image Segmentation HC-Mamba: Vision MAMBA with Hybrid Convolutional Techniques for Medical Image Segmentation

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-16T10:42:22.926451Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T10:42:22.926451Z digest=sha256:221bba9bcbdf451051520666bf1db4849b56bfd8930de1c4b30fe4e6ed29634d

Observation 7aa8a871-412a-4633-abba-ed4ecbb5844f · inbound

ACM-UNet: Adaptive Integration of CNNs and Mamba for Efficient Medical Image Segmentation cites this paper.

ACM-UNet: Adaptive Integration of CNNs and Mamba for Efficient Medical Image Segmentation HC-Mamba: Vision MAMBA with Hybrid Convolutional Techniques for Medical Image Segmentation

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-07T12:25:16.500116Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:25:16.500116Z digest=sha256:368dc29c88c93cb8dcbfb101f5d287187e73576e43d28fb717cc196cdfe1318d

Observation 23959be5-47c0-4303-89d6-e2ccb3797fcd · inbound

Na-IRSTD: Enhancing Infrared Small Target Detection via Native-Resolution Feature Selection and Fusion cites this paper.

Na-IRSTD: Enhancing Infrared Small Target Detection via Native-Resolution Feature Selection and Fusion HC-Mamba: Vision MAMBA with Hybrid Convolutional Techniques for Medical Image Segmentation

Reference 38

Resolution
verified exact
arxiv_id, observed 2026-05-11T18:36:09.123486Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-08T14:55:14.443863Z digest=sha256:68eef47548155792d6a93d260676f38d09a9793f172ffaa37f2c304630f964ad

Observation 1061fee8-e4f6-46b2-b5f0-eb208614a4bf · inbound

APRIL-MedSeg: A Modular Medical Image Segmentation Toolbox Embracing Modern Paradigms cites this paper.

APRIL-MedSeg: A Modular Medical Image Segmentation Toolbox Embracing Modern Paradigms HC-Mamba: Vision MAMBA with Hybrid Convolutional Techniques for Medical Image Segmentation

Reference 266

Resolution
verified exact
arxiv_id, observed 2026-06-30T06:14:19.428099Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-06-30T06:09:54.742202Z digest=sha256:b542b46149fcb061280ed0b6203924547aa1d57e1fe383c36e3475574f69f116

Observation af0e332f-a603-41db-b0e3-321c62e927da · inbound

APRIL-MedSeg: A Modular Medical Image Segmentation Toolbox Embracing Modern Paradigms cites this paper.

APRIL-MedSeg: A Modular Medical Image Segmentation Toolbox Embracing Modern Paradigms HC-Mamba: Vision MAMBA with Hybrid Convolutional Techniques for Medical Image Segmentation

Reference 129

Resolution
verified exact
arxiv_id, observed 2026-07-01T06:45:29.616253Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-07-01T06:38:06.306930Z digest=sha256:99806cf38a9d4efde6c6948c5823f081cd44a78ecf5e10602a989d174827cb7d