Paper Citation Record · LEDGER

USEANet: Ultrasound-Specific Edge-Aware Multi-Branch Network for Lightweight Medical Image Segmentation

As of 19 August 2026, this Paper Citation Record lists 20 of 20 outbound references and 1 inbound Pith citation observation for arXiv:2509.08860.

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

pith.paper-citation-record.v1
2509.08860 v1

Coverage vector

measured 20 of 20 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T21:09:37.925376Z

measured 21 of 21 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T21:09:37.447903Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-04T21:09:37.953401Z

Reference resolution

20 of 20 outbound references displayed

verified exact1
verified fuzzy18
unresolved1
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c6f8b5eb-d107-4859-a7c5-27df0b757e4a · outbound

This paper cites Deep learn- ing approaches, particularly U-Net [1] and its variants includ- ing AttUNet [2], have established strong baselines for medical image analysis.

USEANet: Ultrasound-Specific Edge-Aware Multi-Branch Network for Lightweight Medical Image Segmentation Deep learn- ing approaches, particularly U-Net [1] and its variants includ- ing AttUNet [2], have established strong baselines for medical image analysis

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:09:38.160391Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 5fd8ddc0-da87-4a4b-9b38-1e2b161f1c2d · outbound

This paper cites USEANet: Ultrasound-Specific Edge-Aware Multi-Branch Network for Lightweight Medical Image Segmentation.

USEANet: Ultrasound-Specific Edge-Aware Multi-Branch Network for Lightweight Medical Image Segmentation USEANet: Ultrasound-Specific Edge-Aware Multi-Branch Network for Lightweight Medical Image Segmentation

Reference 2

Resolution: verified exact; local_arxiv, observed 2026-08-04T21:09:37.959075Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d0e1142a-a5fa-4856-891f-c9d5279e9377 · outbound

This paper cites Datasets We evaluate our proposed USEANet on five publicly available ultrasound datasets: three breast (BUSI, BUS-BRA, Breast- Lesions-USG) and two thyroid (DDTI, TN3K).

USEANet: Ultrasound-Specific Edge-Aware Multi-Branch Network for Lightweight Medical Image Segmentation Datasets We evaluate our proposed USEANet on five publicly available ultrasound datasets: three breast (BUSI, BUS-BRA, Breast- Lesions-USG) and two thyroid (DDTI, TN3K)

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:09:38.150841Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation eda13e2d-7e83-4102-999f-7501b153b1e1 · outbound

This paper cites Our approach addresses ultrasound imaging challenges through specialized multi-branch feature process- ing and edge-aware attention mechanisms.

USEANet: Ultrasound-Specific Edge-Aware Multi-Branch Network for Lightweight Medical Image Segmentation Our approach addresses ultrasound imaging challenges through specialized multi-branch feature process- ing and edge-aware attention mechanisms

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:09:38.140944Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 2b6fb951-8852-461c-8f2e-35a1e37224b0 · outbound

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

USEANet: Ultrasound-Specific Edge-Aware Multi-Branch Network for Lightweight Medical Image Segmentation U-net: Convolutional networks for biomedical image segmentation,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:09:38.130706Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 12c6a746-889a-48bc-bb63-0264a4b1cedf · outbound

This paper cites Attu-net: at- tention u-net for brain tumor segmentation,.

USEANet: Ultrasound-Specific Edge-Aware Multi-Branch Network for Lightweight Medical Image Segmentation Attu-net: at- tention u-net for brain tumor segmentation,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:09:38.119670Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation c6eb5724-1c00-4877-bb4c-aaef6aa0a66c · outbound

This paper cites Swin- unet: Unet-like pure transformer for medical image seg- mentation,.

USEANet: Ultrasound-Specific Edge-Aware Multi-Branch Network for Lightweight Medical Image Segmentation Swin- unet: Unet-like pure transformer for medical image seg- mentation,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:09:38.108833Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 738022cd-e448-482f-92ca-923f2d6dd7aa · outbound

This paper cites Xbound-former: Toward cross- scale boundary modeling in transformers,.

USEANet: Ultrasound-Specific Edge-Aware Multi-Branch Network for Lightweight Medical Image Segmentation Xbound-former: Toward cross- scale boundary modeling in transformers,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:09:38.097539Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation e68f7d2b-a636-4e39-ac20-7ff4a5cbc7cf · outbound

This paper cites Unext: Mlp-based rapid medical image segmentation network,.

USEANet: Ultrasound-Specific Edge-Aware Multi-Branch Network for Lightweight Medical Image Segmentation Unext: Mlp-based rapid medical image segmentation network,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:09:38.086868Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation fcac7340-5e59-4475-a59a-9db7cb7f3baa · outbound

This paper cites Malunet: A multi-attention and light- weight unet for skin lesion segmentation,.

USEANet: Ultrasound-Specific Edge-Aware Multi-Branch Network for Lightweight Medical Image Segmentation Malunet: A multi-attention and light- weight unet for skin lesion segmentation,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:09:38.076188Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 94168b3b-afd6-49a5-92bf-1eb1b9991047 · outbound

This paper cites Ege-unet: an efficient group enhanced unet for skin lesion segmentation,.

USEANet: Ultrasound-Specific Edge-Aware Multi-Branch Network for Lightweight Medical Image Segmentation Ege-unet: an efficient group enhanced unet for skin lesion segmentation,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:09:38.065155Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation fda4d36c-6c3e-42a7-9ea5-17176e21736f · outbound

This paper cites Pyramid vision transformer: A versatile back- bone for dense prediction without convolutions,.

USEANet: Ultrasound-Specific Edge-Aware Multi-Branch Network for Lightweight Medical Image Segmentation Pyramid vision transformer: A versatile back- bone for dense prediction without convolutions,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:09:38.053572Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d64e4707-e5be-4b1e-852b-f299b33a0e1f · outbound

This paper cites Squeeze-and- excitation networks,.

USEANet: Ultrasound-Specific Edge-Aware Multi-Branch Network for Lightweight Medical Image Segmentation Squeeze-and- excitation networks,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-04T21:09:37.904697Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dce502f8-e12f-4a00-b0c0-9f8e1fc03da9 · outbound

This paper cites Dataset of breast ultrasound images,.

USEANet: Ultrasound-Specific Edge-Aware Multi-Branch Network for Lightweight Medical Image Segmentation Dataset of breast ultrasound images,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:09:38.035334Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 1a6afa5c-06fa-4368-8d8f-c312edc4c1bf · outbound

This paper cites Bus- bra: A breast ultrasound dataset for assessing computer- aided diagnosis systems,.

USEANet: Ultrasound-Specific Edge-Aware Multi-Branch Network for Lightweight Medical Image Segmentation Bus- bra: A breast ultrasound dataset for assessing computer- aided diagnosis systems,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:09:38.024083Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 5c06369b-a381-451d-8c94-04119bbd4eb9 · outbound

This paper cites A curated benchmark dataset for ultrasound based breast lesion analysis (breast-lesions- usg)(version 1),.

USEANet: Ultrasound-Specific Edge-Aware Multi-Branch Network for Lightweight Medical Image Segmentation A curated benchmark dataset for ultrasound based breast lesion analysis (breast-lesions- usg)(version 1),

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:09:38.013379Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation cf3e3dde-1e09-4994-9674-b9d668c4876f · outbound

This paper cites Digital database for thyroid imaging,.

USEANet: Ultrasound-Specific Edge-Aware Multi-Branch Network for Lightweight Medical Image Segmentation Digital database for thyroid imaging,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:09:38.002140Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 5d2e8a4a-7c07-4d98-b6c9-5b0b8a40eb42 · outbound

This paper cites Thyroid region prior guided attention for ultrasound segmentation of thyroid nodules,.

USEANet: Ultrasound-Specific Edge-Aware Multi-Branch Network for Lightweight Medical Image Segmentation Thyroid region prior guided attention for ultrasound segmentation of thyroid nodules,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:09:37.991854Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation b0f1bcf1-0167-4324-ab0e-eb047b666469 · outbound

This paper cites Trans- fuse: Fusing transformers and cnns for medical image segmentation,.

USEANet: Ultrasound-Specific Edge-Aware Multi-Branch Network for Lightweight Medical Image Segmentation Trans- fuse: Fusing transformers and cnns for medical image segmentation,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:09:37.980855Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 88acae27-fc56-478e-b4a6-2bf4d6bf1b00 · outbound

This paper cites Pmfsnet: Po- larized multi-scale feature self-attention network for lightweight medical image segmentation,.

USEANet: Ultrasound-Specific Edge-Aware Multi-Branch Network for Lightweight Medical Image Segmentation Pmfsnet: Po- larized multi-scale feature self-attention network for lightweight medical image segmentation,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:09:37.970496Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Pith citing papers

Observation 5fd8ddc0-da87-4a4b-9b38-1e2b161f1c2d · inbound