Paper Citation Record · LEDGER

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

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 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 4 of 4 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 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:25:16.500116Z

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
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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 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.

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 2026-08-09T06:31:02.800959+00:00.

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 2026-08-09T06:31:02.800959+00:00.

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 2026-08-09T06:31:02.800959+00:00.