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Paper Citation Record · LEDGER

HNOSeg-XS: Extremely Small Hartley Neural Operator for Efficient and Resolution-Robust 3D Image Segmentation

As of 17 August 2026, this Paper Citation Record lists 46 of 46 outbound references and 0 inbound Pith citation observations for arXiv:2507.08205.

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

pith.paper-citation-record.v1
2507.08205 v1

Coverage vector

measured 46 of 46 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T18:34:37.447519Z

measured 46 of 46 standing notices

One-hop event checks from named stored sources.

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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

46 of 46 outbound references displayed

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External citation measurements

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Outbound references

Observation f24dba22-5d17-42c3-a379-8e0bacaac569 · outbound

This paper cites Deep learning tech- niques for medical image segmentation: achievements and challenges,.

HNOSeg-XS: Extremely Small Hartley Neural Operator for Efficient and Resolution-Robust 3D Image Segmentation Deep learning tech- niques for medical image segmentation: achievements and challenges,

Reference 1

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Observation 1b34e72c-ca77-479a-865c-28fca436283d · outbound

This paper cites A review of deep-learning-based medical image segmentation methods,.

HNOSeg-XS: Extremely Small Hartley Neural Operator for Efficient and Resolution-Robust 3D Image Segmentation A review of deep-learning-based medical image segmentation methods,

Reference 2

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Observation e2a3595b-b48d-4eea-ae60-88c24f2f319d · outbound

This paper cites Medical image segmentation using deep learning: A survey,.

HNOSeg-XS: Extremely Small Hartley Neural Operator for Efficient and Resolution-Robust 3D Image Segmentation Medical image segmentation using deep learning: A survey,

Reference 3

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Observation ec386e2f-5f41-4f37-980e-daa343a2e80d · outbound

This paper cites Attention is all you need,.

HNOSeg-XS: Extremely Small Hartley Neural Operator for Efficient and Resolution-Robust 3D Image Segmentation Attention is all you need,

Reference 4

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 1860535e-d8dd-46a1-94b3-cee59294c069 · outbound

This paper cites An image is worth 16x16 words: Trans- formers for image recognition at scale,.

HNOSeg-XS: Extremely Small Hartley Neural Operator for Efficient and Resolution-Robust 3D Image Segmentation An image is worth 16x16 words: Trans- formers for image recognition at scale,

Reference 5

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Unavailable: canonical work link unavailable.

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Observation 9bea73c4-7ee3-4bb5-93ee-0efcca34d6fc · outbound

This paper cites Swin transformer: Hierarchical vision transformer using shifted windows,.

HNOSeg-XS: Extremely Small Hartley Neural Operator for Efficient and Resolution-Robust 3D Image Segmentation Swin transformer: Hierarchical vision transformer using shifted windows,

Reference 6

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Source-reported events for the cited work

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Observation d5212363-aea6-451f-aa51-a5e2d8eafd36 · outbound

This paper cites Transformers in medical image segmentation: A review,.

HNOSeg-XS: Extremely Small Hartley Neural Operator for Efficient and Resolution-Robust 3D Image Segmentation Transformers in medical image segmentation: A review,

Reference 7

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 9663e41c-bf3e-49be-b697-72abbbbba100 · outbound

This paper cites UNETR: Transformers for 3D medical image segmentation,.

HNOSeg-XS: Extremely Small Hartley Neural Operator for Efficient and Resolution-Robust 3D Image Segmentation UNETR: Transformers for 3D medical image segmentation,

Reference 8

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 423db5c3-2019-48d8-8c21-dde382ebfc3d · outbound

This paper cites Swin-Unet: Unet-like pure transformer for medical image segmenta- tion,.

HNOSeg-XS: Extremely Small Hartley Neural Operator for Efficient and Resolution-Robust 3D Image Segmentation Swin-Unet: Unet-like pure transformer for medical image segmenta- tion,

Reference 9

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Observation f9e85d19-32d9-4432-a401-d6d67b6874ca · outbound

This paper cites nn- Former: V olumetric medical image segmentation via a 3D transformer,.

HNOSeg-XS: Extremely Small Hartley Neural Operator for Efficient and Resolution-Robust 3D Image Segmentation nn- Former: V olumetric medical image segmentation via a 3D transformer,

Reference 10

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Observation 7d58a364-ab73-4291-a006-3d7bbe10918e · outbound

This paper cites UTNet: a hybrid transformer architecture for medical image segmentation,.

HNOSeg-XS: Extremely Small Hartley Neural Operator for Efficient and Resolution-Robust 3D Image Segmentation UTNet: a hybrid transformer architecture for medical image segmentation,

Reference 11

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Observation 4d6aa52c-cecb-4278-8870-50b84bc9cf3c · outbound

This paper cites CoTr: Efficiently bridging CNN and transformer for 3D medical image segmentation,.

HNOSeg-XS: Extremely Small Hartley Neural Operator for Efficient and Resolution-Robust 3D Image Segmentation CoTr: Efficiently bridging CNN and transformer for 3D medical image segmentation,

Reference 12

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation a09d139f-a3b8-499b-a76c-b87920202194 · outbound

This paper cites TransUNet: Rethinking the U-Net architecture design for medical image segmentation through the lens of transformers,.

HNOSeg-XS: Extremely Small Hartley Neural Operator for Efficient and Resolution-Robust 3D Image Segmentation TransUNet: Rethinking the U-Net architecture design for medical image segmentation through the lens of transformers,

Reference 13

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation e975e474-8458-4d1b-82a6-6d53dd7fef69 · outbound

This paper cites FNOSeg3D: Resolution-robust 3D image segmentation with Fourier neural operator,.

HNOSeg-XS: Extremely Small Hartley Neural Operator for Efficient and Resolution-Robust 3D Image Segmentation FNOSeg3D: Resolution-robust 3D image segmentation with Fourier neural operator,

Reference 14

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation c00ddb7e-1eeb-4749-85a8-dd2e1349f103 · outbound

This paper cites Fourier neural operator for parametric partial differential equations,.

HNOSeg-XS: Extremely Small Hartley Neural Operator for Efficient and Resolution-Robust 3D Image Segmentation Fourier neural operator for parametric partial differential equations,

Reference 15

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 1f8ac485-e205-454d-a7e1-6b8cf74a904b · outbound

This paper cites Self- normalizing neural networks,.

HNOSeg-XS: Extremely Small Hartley Neural Operator for Efficient and Resolution-Robust 3D Image Segmentation Self- normalizing neural networks,

Reference 16

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Observation e5044f40-5700-4bf9-b095-ca56e4661d21 · outbound

This paper cites The multimodal brain tumor image segmentation benchmark (BRATS),.

HNOSeg-XS: Extremely Small Hartley Neural Operator for Efficient and Resolution-Robust 3D Image Segmentation The multimodal brain tumor image segmentation benchmark (BRATS),

Reference 17

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation fd10cd94-d44e-4f98-9f61-6730477aa801 · outbound

This paper cites Advancing The Cancer Genome Atlas glioma MRI collections with expert segmentation labels and radiomic features,.

HNOSeg-XS: Extremely Small Hartley Neural Operator for Efficient and Resolution-Robust 3D Image Segmentation Advancing The Cancer Genome Atlas glioma MRI collections with expert segmentation labels and radiomic features,

Reference 18

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 9d41393c-724a-4b73-9729-aee5f53b984b · outbound

This paper cites The RSNA-ASNR-MICCAI BraTS 2021 Benchmark on Brain Tumor Segmentation and Radiogenomic Classification.

HNOSeg-XS: Extremely Small Hartley Neural Operator for Efficient and Resolution-Robust 3D Image Segmentation The RSNA-ASNR-MICCAI BraTS 2021 Benchmark on Brain Tumor Segmentation and Radiogenomic Classification

Reference 19

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Unavailable: canonical work link unavailable.

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Observation ab379d83-9679-4011-a576-0f3525996ab4 · outbound

This paper cites The KiTS21 Challenge: Automatic segmentation of kidneys, renal tumors, and renal cysts in corticomedullary-phase CT.

HNOSeg-XS: Extremely Small Hartley Neural Operator for Efficient and Resolution-Robust 3D Image Segmentation The KiTS21 Challenge: Automatic segmentation of kidneys, renal tumors, and renal cysts in corticomedullary-phase CT

Reference 20

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Observation f4c221db-87a9-4358-a08b-abf669347342 · outbound

This paper cites DeepMitral: Fully automatic 3D echocardiography segmentation for patient specific mitral valve modelling,.

HNOSeg-XS: Extremely Small Hartley Neural Operator for Efficient and Resolution-Robust 3D Image Segmentation DeepMitral: Fully automatic 3D echocardiography segmentation for patient specific mitral valve modelling,

Reference 21

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation bfefd4fd-6e58-48d5-8238-b79fcfb971b0 · outbound

This paper cites U-Net: Convolutional net- works for biomedical image segmentation,.

HNOSeg-XS: Extremely Small Hartley Neural Operator for Efficient and Resolution-Robust 3D Image Segmentation U-Net: Convolutional net- works for biomedical image segmentation,

Reference 22

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 42804764-3357-416a-929c-a0da459cf026 · outbound

This paper cites V-Net: Fully convolutional neural networks for volumetric medical image segmentation,.

HNOSeg-XS: Extremely Small Hartley Neural Operator for Efficient and Resolution-Robust 3D Image Segmentation V-Net: Fully convolutional neural networks for volumetric medical image segmentation,

Reference 23

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 765226b3-6db1-445e-8fc4-100b33555525 · outbound

This paper cites UNet++: A nested U-Net architecture for medical image segmentation,.

HNOSeg-XS: Extremely Small Hartley Neural Operator for Efficient and Resolution-Robust 3D Image Segmentation UNet++: A nested U-Net architecture for medical image segmentation,

Reference 24

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation d0f16c6f-7583-49b9-963b-b6842b3be8b2 · outbound

This paper cites nnU-Net: a self-configuring method for deep learning-based biomedical image segmentation,.

HNOSeg-XS: Extremely Small Hartley Neural Operator for Efficient and Resolution-Robust 3D Image Segmentation nnU-Net: a self-configuring method for deep learning-based biomedical image segmentation,

Reference 25

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 1d9ca776-454b-4289-b8d5-d71f09f92f74 · outbound

This paper cites FDA: Fourier domain adaptation for semantic segmentation,.

HNOSeg-XS: Extremely Small Hartley Neural Operator for Efficient and Resolution-Robust 3D Image Segmentation FDA: Fourier domain adaptation for semantic segmentation,

Reference 26

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raw_fallback, observed 2026-08-06T18:34:45.432634Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 32e61274-2eec-4323-a132-25dc43ec1b98 · outbound

This paper cites Global filter networks for image classification,.

HNOSeg-XS: Extremely Small Hartley Neural Operator for Efficient and Resolution-Robust 3D Image Segmentation Global filter networks for image classification,

Reference 27

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 3a5c69ad-a324-4cff-8950-cebe0d8293f4 · outbound

This paper cites FreMIM: Fourier transform meets masked image modeling for medical image segmentation,.

HNOSeg-XS: Extremely Small Hartley Neural Operator for Efficient and Resolution-Robust 3D Image Segmentation FreMIM: Fourier transform meets masked image modeling for medical image segmentation,

Reference 28

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verified fuzzy
raw_fallback, observed 2026-08-06T18:34:45.377829Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 8afa3ef5-af51-4077-83c2-e533b6c8e7a2 · outbound

This paper cites Implicit neural representation in medical imaging: A comparative survey,.

HNOSeg-XS: Extremely Small Hartley Neural Operator for Efficient and Resolution-Robust 3D Image Segmentation Implicit neural representation in medical imaging: A comparative survey,

Reference 29

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raw_fallback, observed 2026-08-06T18:34:45.359186Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 68def06f-821d-4b9f-a416-2deba22af8d3 · outbound

This paper cites Implicit neural representations for medical imaging segmentation,.

HNOSeg-XS: Extremely Small Hartley Neural Operator for Efficient and Resolution-Robust 3D Image Segmentation Implicit neural representations for medical imaging segmentation,

Reference 30

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raw_fallback, observed 2026-08-06T18:34:45.340549Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T18:34:35.964367Z digest=sha256:9ff3f9d429b2d8420ac7f553c3aa2e419f69e21c52cf35ed3233861ec7b7ca3e

Observation d705ba10-8295-4743-a3ae-8f6ded436727 · outbound

This paper cites Implicit anatomical rendering for medical image segmentation with stochastic experts,.

HNOSeg-XS: Extremely Small Hartley Neural Operator for Efficient and Resolution-Robust 3D Image Segmentation Implicit anatomical rendering for medical image segmentation with stochastic experts,

Reference 31

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T18:34:36.024043Z digest=sha256:d734f9ecccc70bf45413c9672fe64c6a825a9172f6038c13c673faa8e60d0de0

Observation 032ee923-a84d-466e-8837-50d03339d525 · outbound

This paper cites NISF: Neural implicit segmentation functions,.

HNOSeg-XS: Extremely Small Hartley Neural Operator for Efficient and Resolution-Robust 3D Image Segmentation NISF: Neural implicit segmentation functions,

Reference 32

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raw_fallback, observed 2026-08-06T18:34:45.163876Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T18:34:36.104485Z digest=sha256:2144e6a9d1733c8725a8770873b76b55839dcf72d4fd9c94009915f9b072cfd4

Observation a49b2001-677c-461e-bd45-e99fc8c6c374 · outbound

This paper cites Aubert and P.

HNOSeg-XS: Extremely Small Hartley Neural Operator for Efficient and Resolution-Robust 3D Image Segmentation Aubert and P

Reference 33

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verified fuzzy
raw_fallback, observed 2026-08-06T18:34:44.940353Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T18:34:36.205383Z digest=sha256:59c5f7eadc6fa1a675caf932ab1e05cbe14e5f0ed51df549f935f03380a0995e

Observation 008f42c8-330f-4420-a502-bab9208280d0 · outbound

This paper cites Sapiro, Geometric partial differential equations and image analysis.

HNOSeg-XS: Extremely Small Hartley Neural Operator for Efficient and Resolution-Robust 3D Image Segmentation Sapiro, Geometric partial differential equations and image analysis

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:34:40.370992Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T18:34:36.285698Z digest=sha256:17f936a4114f437adfb7c705eb529de44ce871212ff32a9721277035a6c63cb1

Observation 043ce268-2a4d-482e-a241-f6e72fda6a6a · outbound

This paper cites Neural Operator: Graph Kernel Network for Partial Differential Equations.

HNOSeg-XS: Extremely Small Hartley Neural Operator for Efficient and Resolution-Robust 3D Image Segmentation Neural Operator: Graph Kernel Network for Partial Differential Equations

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-06T18:34:36.387291Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:34:36.387291Z digest=sha256:02b83b4b7dc2e2cbe777f243f373feefce022c9d5a68f9dccbd30fe4b3073ca5

Observation 64f61b50-4f68-4037-9870-2b17370f9908 · outbound

This paper cites A more symmetrical Fourier analysis applied to transmission problems,.

HNOSeg-XS: Extremely Small Hartley Neural Operator for Efficient and Resolution-Robust 3D Image Segmentation A more symmetrical Fourier analysis applied to transmission problems,

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:34:39.485199Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T18:34:36.490942Z digest=sha256:18c213e5666b53f789bfd9615edd4cffa46ad1689ec6eb7ea4224dbc0d6d69b9

Observation fd675ae9-d8be-457e-8e72-b763f563898c · outbound

This paper cites Discrete Hartley transform,.

HNOSeg-XS: Extremely Small Hartley Neural Operator for Efficient and Resolution-Robust 3D Image Segmentation Discrete Hartley transform,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:34:39.258833Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T18:34:36.583751Z digest=sha256:d0299366d55bb4afca1b96d89f9d486a840742577540a03c4a40ee678eb090b9

Observation b0707556-e928-44d6-9763-50411ffbac00 · outbound

This paper cites The importance of phase in signals,.

HNOSeg-XS: Extremely Small Hartley Neural Operator for Efficient and Resolution-Robust 3D Image Segmentation The importance of phase in signals,

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:34:39.143078Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T18:34:36.674645Z digest=sha256:e342ac8b65d4004318622853ba06bbffcec9c850b20598a48e5d3095767f41e7

Observation ffc18dd8-de76-4c97-b5e8-8e56dffc5eda · outbound

This paper cites 3D segmentation with fully trainable Gabor kernels and Pearson’s correlation coefficient,.

HNOSeg-XS: Extremely Small Hartley Neural Operator for Efficient and Resolution-Robust 3D Image Segmentation 3D segmentation with fully trainable Gabor kernels and Pearson’s correlation coefficient,

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:34:38.952314Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T18:34:36.746856Z digest=sha256:cb9cc092cace3a4de60a587c0d79a29e06c01902159c3ff96d5c17b131612d0d

Observation 529473cb-324b-4987-a645-8cb3f45c6bcf · outbound

This paper cites Adam: A Method for Stochastic Optimization.

HNOSeg-XS: Extremely Small Hartley Neural Operator for Efficient and Resolution-Robust 3D Image Segmentation Adam: A Method for Stochastic Optimization

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-06T18:34:36.841973Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:34:36.841973Z digest=sha256:68ac0bd162642b17384b73799495add2adabfdaf465a1a789a484107fe819eb8

Observation 3e344fd2-7ac8-4ef9-9ca2-aa6f5b5691bd · outbound

This paper cites SGDR: Stochastic gradient descent with warm restarts,.

HNOSeg-XS: Extremely Small Hartley Neural Operator for Efficient and Resolution-Robust 3D Image Segmentation SGDR: Stochastic gradient descent with warm restarts,

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:34:38.836733Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T18:34:36.906996Z digest=sha256:f4438a20866b11356cb543f34423488633d9fe4c57b1ed84aa3f70d3352e1d38

Observation 24de7945-11e4-4a56-8ac9-ae98b35049be · outbound

This paper cites BraTS 2023 Challenge,.

HNOSeg-XS: Extremely Small Hartley Neural Operator for Efficient and Resolution-Robust 3D Image Segmentation BraTS 2023 Challenge,

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:34:38.717279Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T18:34:37.006774Z digest=sha256:a8d9eaa9bd4c9b487796397b5cfdac7acd8646aa78515310d69a98a8a7d7aeff

Observation bff25a08-624f-4445-bf83-dfb13c76c7b0 · outbound

This paper cites The 2023 Kidney and Kidney Tumor Segmentation Challenge,.

HNOSeg-XS: Extremely Small Hartley Neural Operator for Efficient and Resolution-Robust 3D Image Segmentation The 2023 Kidney and Kidney Tumor Segmentation Challenge,

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:34:38.595786Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T18:34:37.094089Z digest=sha256:d7fcf3e959cdfc2cb925c1c2f4bf0cfd9c297e74ab99f4188f2428970d04f4e0

Observation e5fe692a-5149-4fb5-8cae-897fc117f7fd · outbound

This paper cites MVSEG2023,.

HNOSeg-XS: Extremely Small Hartley Neural Operator for Efficient and Resolution-Robust 3D Image Segmentation MVSEG2023,

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:34:38.382574Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T18:34:37.182788Z digest=sha256:4b9c2a3553877f2d8b69891ee1593e8b4b6c2e9a821a2d3f5ff65048f917970c

Observation dddc4c52-92a2-4f77-8266-aed10b714aa7 · outbound

This paper cites 3D segmentation with exponential logarithmic loss for highly unbalanced object sizes,.

HNOSeg-XS: Extremely Small Hartley Neural Operator for Efficient and Resolution-Robust 3D Image Segmentation 3D segmentation with exponential logarithmic loss for highly unbalanced object sizes,

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:34:38.139619Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T18:34:37.296461Z digest=sha256:669a06abf5298b2cbded271ad1d991c1e7a5d8e5b4b55efcaad130b22253524b

Observation 6105f3ef-b6a8-4f28-8bf5-37fcbeb64c9e · outbound

This paper cites Variability in image quality and radiation dose within and across 97 medical facilities,.

HNOSeg-XS: Extremely Small Hartley Neural Operator for Efficient and Resolution-Robust 3D Image Segmentation Variability in image quality and radiation dose within and across 97 medical facilities,

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:34:37.861143Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T18:34:37.447519Z digest=sha256:c0ed41d4ad8f9dc0d7a58a77c1b947e06b86db83a53f7256e2609ec0d8b1d2d0

Pith citing papers

No inbound Pith citation observations are available.