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Paper Citation Record · LEDGER

KAN-Mamba FusionNet: Redefining Medical Image Segmentation with Non-Linear Modeling

As of 17 August 2026, this Paper Citation Record lists 25 of 25 outbound references and 0 inbound Pith citation observations for arXiv:2411.11926.

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

pith.paper-citation-record.v1
2411.11926 v2

Coverage vector

measured 25 of 25 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T18:36:11.241279Z

measured 25 of 25 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+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

25 of 25 outbound references displayed

  • verified exact0
  • verified fuzzy7
  • unresolved18
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ab1a9af6-263f-49d7-b3ec-93b6124be423 · outbound

This paper cites Al-Dhabyani, M.

KAN-Mamba FusionNet: Redefining Medical Image Segmentation with Non-Linear Modeling Al-Dhabyani, M

Reference 1

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T18:36:11.124271Z digest=sha256:6cc0d947fa34339de91cb2d839fc98b69591342fd8bdc323afb427a91b12e030

Observation 025c1a7d-b992-4363-bcd1-e0d2b23bfc7f · outbound

This paper cites State Space Models as Foundation Models: A Control Theoretic Overview.

KAN-Mamba FusionNet: Redefining Medical Image Segmentation with Non-Linear Modeling State Space Models as Foundation Models: A Control Theoretic Overview

Reference 2

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T18:36:11.129371Z digest=sha256:4961d4c98b0c94340579ebeaed930f5a51eff9ff1e59c07bf7c3058df1da85a7

Observation 1eccddbb-92b5-455b-a6f1-3d94819a6594 · outbound

This paper cites Convolutional neural networks for medical image segmentation.

KAN-Mamba FusionNet: Redefining Medical Image Segmentation with Non-Linear Modeling Convolutional neural networks for medical image segmentation

Reference 3

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T18:36:11.134595Z digest=sha256:ad78a2e22957ed56a124daf9bd715b0a2e2b85338c4c8471e05c54194f3732d1

Observation 7eebd07a-b029-413e-aa16-2057efdc5625 · outbound

This paper cites TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation.

KAN-Mamba FusionNet: Redefining Medical Image Segmentation with Non-Linear Modeling TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation

Reference 4

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no resolver link, observed 2026-08-12T18:36:11.139597Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T18:36:11.139597Z digest=sha256:cacd8c5c643132b0c93b5b3ce97ab5507aa7f88b8e7629d068c79bf8ccdc8afb

Observation 9a4cb17a-684d-44ec-86f7-a59e0fb62fa2 · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

KAN-Mamba FusionNet: Redefining Medical Image Segmentation with Non-Linear Modeling An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 5

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T18:36:11.145065Z digest=sha256:84670877d30bc67b7ead1564a2abf917196e8167d2d38c283a6e80e8c3aca415

Observation 176f9310-c3ac-4580-afc1-b2146f9db2bb · outbound

This paper cites Gu and T.

KAN-Mamba FusionNet: Redefining Medical Image Segmentation with Non-Linear Modeling Gu and T

Reference 6

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verified fuzzy
raw_fallback, observed 2026-08-12T18:36:11.798889Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 5e50f710-efc6-422f-935d-f8ebe3cfbfad · outbound

This paper cites Hesamian, W.

KAN-Mamba FusionNet: Redefining Medical Image Segmentation with Non-Linear Modeling Hesamian, W

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 7cd426e9-852b-484c-bd60-e4cf867ce735 · outbound

This paper cites UNet 3+: A Full-Scale Connected UNet for Medical Image Segmentation.

KAN-Mamba FusionNet: Redefining Medical Image Segmentation with Non-Linear Modeling UNet 3+: A Full-Scale Connected UNet for Medical Image Segmentation

Reference 8

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T18:36:11.165418Z digest=sha256:a58cb5abca32f45ab9fb0358d79bca18d4406c3f86113d8038e8839120ca1114

Observation 8d27eae7-d864-4667-9434-40973d4ba513 · outbound

This paper cites an unresolved cited work.

KAN-Mamba FusionNet: Redefining Medical Image Segmentation with Non-Linear Modeling Unresolved cited work

Reference 9

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-12T18:36:11.170267Z digest=sha256:6e48ac4a9721082171ca86e5b953b4151f69d002eb6b395fe01618f79a12341f

Observation 434f45c9-fb19-4827-942b-ca878c9ea98d · outbound

This paper cites LeCun, L.

KAN-Mamba FusionNet: Redefining Medical Image Segmentation with Non-Linear Modeling LeCun, L

Reference 10

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation acf2dd42-9c1a-47fe-9c62-ecbf72fa8032 · outbound

This paper cites U-KAN Makes Strong Backbone for Medical Image Segmentation and Generation.

KAN-Mamba FusionNet: Redefining Medical Image Segmentation with Non-Linear Modeling U-KAN Makes Strong Backbone for Medical Image Segmentation and Generation

Reference 11

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Observation f1e5f16d-b35f-4ff1-94e7-0367c51b8373 · outbound

This paper cites Litjens, T.

KAN-Mamba FusionNet: Redefining Medical Image Segmentation with Non-Linear Modeling Litjens, T

Reference 12

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation cc7245a8-2458-4a31-864d-d09bc1bfc4f5 · outbound

This paper cites an unresolved cited work.

KAN-Mamba FusionNet: Redefining Medical Image Segmentation with Non-Linear Modeling Unresolved cited work

Reference 13

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation bd88fc82-889e-4e21-b782-5b7177044b67 · outbound

This paper cites KAN: Kolmogorov-Arnold Networks.

KAN-Mamba FusionNet: Redefining Medical Image Segmentation with Non-Linear Modeling KAN: Kolmogorov-Arnold Networks

Reference 14

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Unavailable: canonical work link unavailable.

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Observation 1254e6ff-b7ac-444a-b8f8-517ea18b986e · outbound

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

KAN-Mamba FusionNet: Redefining Medical Image Segmentation with Non-Linear Modeling U-Mamba: Enhancing Long-range Dependency for Biomedical Image Segmentation

Reference 15

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no resolver link, observed 2026-08-12T18:36:11.197954Z

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Observation c446a7e6-673d-4369-b1da-06b6ae28fdbc · outbound

This paper cites Ronneberger, P.

KAN-Mamba FusionNet: Redefining Medical Image Segmentation with Non-Linear Modeling Ronneberger, P

Reference 16

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 2355e6a2-7a52-4e05-a318-f26c10de98a5 · outbound

This paper cites an unresolved cited work.

KAN-Mamba FusionNet: Redefining Medical Image Segmentation with Non-Linear Modeling Unresolved cited work

Reference 17

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-12T18:36:11.208977Z digest=sha256:fb3bd12dc546b5db9252377d50a4a4125bc2ec51bb8240bf9c68c3c3a633c896

Observation 641aa866-7aca-4c10-a86c-9324d2a28ae1 · outbound

This paper cites an unresolved cited work.

KAN-Mamba FusionNet: Redefining Medical Image Segmentation with Non-Linear Modeling Unresolved cited work

Reference 18

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 21463466-6979-44cc-be5b-073ebcccba3f · outbound

This paper cites an unresolved cited work.

KAN-Mamba FusionNet: Redefining Medical Image Segmentation with Non-Linear Modeling Unresolved cited work

Reference 19

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 6d761c88-f1af-4239-ae23-bc63cba0cad1 · outbound

This paper cites an unresolved cited work.

KAN-Mamba FusionNet: Redefining Medical Image Segmentation with Non-Linear Modeling Unresolved cited work

Reference 20

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation e4544fb0-b24d-4e3e-b625-4e334b95826e · outbound

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

KAN-Mamba FusionNet: Redefining Medical Image Segmentation with Non-Linear Modeling SegMamba: Long-range Sequential Modeling Mamba For 3D Medical Image Segmentation

Reference 21

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T18:36:11.227188Z digest=sha256:00647cb7e75bc39e6c9dc66bdc4384c781faedb93ff87c4659be2d9bb9abd5f6

Observation 60e14000-712d-42ff-88bc-445d38e19d54 · outbound

This paper cites Yamashita, M.

KAN-Mamba FusionNet: Redefining Medical Image Segmentation with Non-Linear Modeling Yamashita, M

Reference 22

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raw_fallback, observed 2026-08-12T18:36:11.623901Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation c126f569-cf08-49ce-85b5-44b7171e9a36 · outbound

This paper cites Zhou, M.M.

KAN-Mamba FusionNet: Redefining Medical Image Segmentation with Non-Linear Modeling Zhou, M.M

Reference 23

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raw_fallback, observed 2026-08-12T18:36:11.607458Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-12T18:36:11.236658Z digest=sha256:e26ce89bfc9316ccb794a2e3d73cb7f4d7e456474396405a43d2b6761728456a

Observation 4599044f-6f85-467b-9ae2-acc247ad216c · outbound

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

KAN-Mamba FusionNet: Redefining Medical Image Segmentation with Non-Linear Modeling Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model

Reference 24

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T18:36:11.241279Z digest=sha256:26ca615d0a3d0a68bae03739067c2954d8debd1fa902dff70aa95903550858f4

Observation c4356ee6-8bbe-4087-94ce-d5a943a8d8e8 · outbound

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

KAN-Mamba FusionNet: Redefining Medical Image Segmentation with Non-Linear Modeling Mamba: Linear-Time Sequence Modeling with Selective State Spaces

Reference 2023

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Pith citing papers

No inbound Pith citation observations are available.