Paper Citation Record · LEDGER

CLIP-TNseg: A Multi-Modal Hybrid Framework for Thyroid Nodule Segmentation in Ultrasound Images

As of 19 August 2026, this Paper Citation Record lists 34 of 34 outbound references and 2 inbound Pith citation observations for arXiv:2412.05530.

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

pith.paper-citation-record.v1
2412.05530 v1

Coverage vector

measured 34 of 34 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T20:40:27.062417Z

measured 36 of 36 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 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T00:08:07.536988Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-04T22:44:43.425789Z

Reference resolution

34 of 34 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 113845d0-c836-42af-9477-1af917c1c2bd · outbound

This paper cites Very high prevalence of thyroid nodules detected by high frequency (13 mhz) ultrasound examination,.

CLIP-TNseg: A Multi-Modal Hybrid Framework for Thyroid Nodule Segmentation in Ultrasound Images Very high prevalence of thyroid nodules detected by high frequency (13 mhz) ultrasound examination,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:40:27.516186Z

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

Observation 92f9afd6-84db-42b1-a82c-0b825e52bfc7 · outbound

This paper cites Management guidelinesforpa- tientswiththyroidnodulesanddifferentiated thyroidcancer,.

CLIP-TNseg: A Multi-Modal Hybrid Framework for Thyroid Nodule Segmentation in Ultrasound Images Management guidelinesforpa- tientswiththyroidnodulesanddifferentiated thyroidcancer,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:40:27.502240Z

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Observation be674212-f2ad-4a74-94f4-4ae8ad84a2e4 · outbound

This paper cites Acr thyroid imaging, reporting and data system (ti-rads): white paper of the acr ti-rads committee,.

CLIP-TNseg: A Multi-Modal Hybrid Framework for Thyroid Nodule Segmentation in Ultrasound Images Acr thyroid imaging, reporting and data system (ti-rads): white paper of the acr ti-rads committee,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:40:27.489943Z

Source-reported events for the cited work

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Observation 234bc598-ce15-4bbe-bce5-0330499e712b · outbound

This paper cites Automatic diagnosis for thyroid nodules in ultrasound images by deep neural networks,.

CLIP-TNseg: A Multi-Modal Hybrid Framework for Thyroid Nodule Segmentation in Ultrasound Images Automatic diagnosis for thyroid nodules in ultrasound images by deep neural networks,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:40:27.477616Z

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Observation eede5e9e-32ae-41c1-9c2b-9d813db4ee26 · outbound

This paper cites Ultrasound image segmentation: a survey,.

CLIP-TNseg: A Multi-Modal Hybrid Framework for Thyroid Nodule Segmentation in Ultrasound Images Ultrasound image segmentation: a survey,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:40:27.465871Z

Source-reported events for the cited work

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Observation 49a4b8a5-44b6-4fc5-a33a-fb19cb0e4437 · outbound

This paper cites Automatic segmentation and classification of thyroid nodules in ultrasound images with convolutional neural networks,.

CLIP-TNseg: A Multi-Modal Hybrid Framework for Thyroid Nodule Segmentation in Ultrasound Images Automatic segmentation and classification of thyroid nodules in ultrasound images with convolutional neural networks,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:40:27.454418Z

Source-reported events for the cited work

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Observation 99c23670-f6c4-4b83-a189-0b5017bf7ac1 · outbound

This paper cites Fully convolutional networks for semantic segmentation,.

CLIP-TNseg: A Multi-Modal Hybrid Framework for Thyroid Nodule Segmentation in Ultrasound Images Fully convolutional networks for semantic segmentation,

Reference 7

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Observation c0f38cbe-7b45-418c-9eb3-5515f258e401 · outbound

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

CLIP-TNseg: A Multi-Modal Hybrid Framework for Thyroid Nodule Segmentation in Ultrasound Images U-net: Convolutional networks for biomedical image segmentation,

Reference 8

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Observation 5c565373-f80c-4d68-80c8-74f6a8abe165 · outbound

This paper cites Attention U-Net: Learning Where to Look for the Pancreas.

CLIP-TNseg: A Multi-Modal Hybrid Framework for Thyroid Nodule Segmentation in Ultrasound Images Attention U-Net: Learning Where to Look for the Pancreas

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-11T20:40:26.952416Z

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Observation 0ad82941-8b1c-4d21-9409-924e7270a9b2 · outbound

This paper cites Dmu-net: Dual-route mirroring u-net with mutual learning for malig- nant thyroid nodule segmentation,.

CLIP-TNseg: A Multi-Modal Hybrid Framework for Thyroid Nodule Segmentation in Ultrasound Images Dmu-net: Dual-route mirroring u-net with mutual learning for malig- nant thyroid nodule segmentation,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:40:27.427046Z

Source-reported events for the cited work

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Observation bead3178-d762-4b56-9079-5a5c5ee8aa5d · outbound

This paper cites Attention is all you need,.

CLIP-TNseg: A Multi-Modal Hybrid Framework for Thyroid Nodule Segmentation in Ultrasound Images Attention is all you need,

Reference 11

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Observation d1049554-2fc6-4858-8cc0-19a7a3fbbf34 · outbound

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

CLIP-TNseg: A Multi-Modal Hybrid Framework for Thyroid Nodule Segmentation in Ultrasound Images An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-11T20:40:26.965663Z

Source-reported events for the cited work

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Observation 4f6ac08b-7d5e-463a-b810-cf9f86761b23 · outbound

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

CLIP-TNseg: A Multi-Modal Hybrid Framework for Thyroid Nodule Segmentation in Ultrasound Images TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-11T20:40:26.969811Z

Source-reported events for the cited work

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Observation e09b3a91-36a7-46e2-9fc3-ac27e0b5c88d · outbound

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

CLIP-TNseg: A Multi-Modal Hybrid Framework for Thyroid Nodule Segmentation in Ultrasound Images Swin-unet: Unet-like pure transformer for medical image segmenta- tion,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-11T20:40:26.974635Z

Source-reported events for the cited work

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Observation 247e20b2-845b-483b-8539-774893a80201 · outbound

This paper cites Transformers in medical imaging: A survey,.

CLIP-TNseg: A Multi-Modal Hybrid Framework for Thyroid Nodule Segmentation in Ultrasound Images Transformers in medical imaging: A survey,

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-11T20:40:26.979009Z

Source-reported events for the cited work

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Observation b858683c-a54f-4030-ade3-960ae0e46eac · outbound

This paper cites Learning transferable visual models from natural language supervision,.

CLIP-TNseg: A Multi-Modal Hybrid Framework for Thyroid Nodule Segmentation in Ultrasound Images Learning transferable visual models from natural language supervision,

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-11T20:40:26.982708Z

Source-reported events for the cited work

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Observation 5bc6c946-2888-450f-bbef-9710cc136131 · outbound

This paper cites Image segmentation using text and image prompts,.

CLIP-TNseg: A Multi-Modal Hybrid Framework for Thyroid Nodule Segmentation in Ultrasound Images Image segmentation using text and image prompts,

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-11T20:40:26.988180Z

Source-reported events for the cited work

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Observation a9cae6cc-9e53-49a1-ab6d-2303c9c30397 · outbound

This paper cites Fcn-transformer feature fusion for polyp segmentation,.

CLIP-TNseg: A Multi-Modal Hybrid Framework for Thyroid Nodule Segmentation in Ultrasound Images Fcn-transformer feature fusion for polyp segmentation,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:40:27.370380Z

Source-reported events for the cited work

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Observation 3e295ca1-07e5-4ee7-a657-30b9b20997ef · outbound

This paper cites Feature-wise transformations,.

CLIP-TNseg: A Multi-Modal Hybrid Framework for Thyroid Nodule Segmentation in Ultrasound Images Feature-wise transformations,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:40:27.356075Z

Source-reported events for the cited work

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Observation fe406f8e-4fe4-4a60-bdfd-d80a7324f4b2 · outbound

This paper cites Deep residual learning for image recognition,.

CLIP-TNseg: A Multi-Modal Hybrid Framework for Thyroid Nodule Segmentation in Ultrasound Images Deep residual learning for image recognition,

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-11T20:40:27.000446Z

Source-reported events for the cited work

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Observation 66749886-3894-4c7b-9ef9-c70ca3bcacd7 · outbound

This paper cites An open access thyroid ultrasound image database,.

CLIP-TNseg: A Multi-Modal Hybrid Framework for Thyroid Nodule Segmentation in Ultrasound Images An open access thyroid ultrasound image database,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:40:27.333179Z

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 297ed318-e1b4-44f0-93ab-4cfa83604fee · outbound

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

CLIP-TNseg: A Multi-Modal Hybrid Framework for Thyroid Nodule Segmentation in Ultrasound Images Thyroid region prior guided attention for ultrasound segmentation of thyroid nodules,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:40:27.310426Z

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 7b33c6ee-8d85-42f9-85a0-0e63ad35a389 · outbound

This paper cites Automatic differentiation in pytorch,.

CLIP-TNseg: A Multi-Modal Hybrid Framework for Thyroid Nodule Segmentation in Ultrasound Images Automatic differentiation in pytorch,

Reference 23

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Source-reported events for the cited work

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Observation 0ec9c351-e09a-4f14-b730-c57797eb0fc2 · outbound

This paper cites Pytorch: An imperative style, high-performance deep learning library,.

CLIP-TNseg: A Multi-Modal Hybrid Framework for Thyroid Nodule Segmentation in Ultrasound Images Pytorch: An imperative style, high-performance deep learning library,

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-11T20:40:27.023239Z

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Observation 1982e5a5-8b0f-43a1-ab6d-2b61d3dfd2b6 · outbound

This paper cites Phrasecut: Language- based image segmentation in the wild,.

CLIP-TNseg: A Multi-Modal Hybrid Framework for Thyroid Nodule Segmentation in Ultrasound Images Phrasecut: Language- based image segmentation in the wild,

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-11T20:40:27.027510Z

Source-reported events for the cited work

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Observation abaf99a4-7bb5-4173-8ac2-0e463558cf54 · outbound

This paper cites Tganet: Text-guided attention for improved polyp segmentation,.

CLIP-TNseg: A Multi-Modal Hybrid Framework for Thyroid Nodule Segmentation in Ultrasound Images Tganet: Text-guided attention for improved polyp segmentation,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:40:27.262755Z

Source-reported events for the cited work

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Observation 748f44d3-d2a3-4acd-8a87-588ee2e2f9f6 · outbound

This paper cites Lvit: language meets vision transformer in medical image segmentation,.

CLIP-TNseg: A Multi-Modal Hybrid Framework for Thyroid Nodule Segmentation in Ultrasound Images Lvit: language meets vision transformer in medical image segmentation,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:40:27.247478Z

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 5f672105-a8e0-483d-956c-03f4f599c7b2 · outbound

This paper cites Corner-point and foreground-area iou loss: Better localization of small objects in bounding box regression,.

CLIP-TNseg: A Multi-Modal Hybrid Framework for Thyroid Nodule Segmentation in Ultrasound Images Corner-point and foreground-area iou loss: Better localization of small objects in bounding box regression,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:40:27.232680Z

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 6f620184-7b5f-426c-b1ff-82fa9ce3420e · outbound

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

CLIP-TNseg: A Multi-Modal Hybrid Framework for Thyroid Nodule Segmentation in Ultrasound Images Swin transformer: Hierarchical vision transformer using shifted windows,

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-11T20:40:27.046160Z

Source-reported events for the cited work

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Observation 7c70a4a1-0058-47cb-8957-f4524f51a699 · outbound

This paper cites Training interpretable convolutional neural networks by dif- ferentiating class-specific filters,.

CLIP-TNseg: A Multi-Modal Hybrid Framework for Thyroid Nodule Segmentation in Ultrasound Images Training interpretable convolutional neural networks by dif- ferentiating class-specific filters,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:40:27.210707Z

Source-reported events for the cited work

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Observation 7ace93ee-e5f8-4db1-9e93-67770fad5d89 · outbound

This paper cites The one hundred layers tiramisu: Fully convolutional densenets for semantic segmentation,.

CLIP-TNseg: A Multi-Modal Hybrid Framework for Thyroid Nodule Segmentation in Ultrasound Images The one hundred layers tiramisu: Fully convolutional densenets for semantic segmentation,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:40:27.198413Z

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 2451f638-2045-46bd-9840-432c690888ba · outbound

This paper cites Searching for Activation Functions.

CLIP-TNseg: A Multi-Modal Hybrid Framework for Thyroid Nodule Segmentation in Ultrasound Images Searching for Activation Functions

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-11T20:40:27.057824Z

Source-reported events for the cited work

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Observation 0bbbbe7b-edae-4a03-8698-76711c4e59dc · outbound

This paper cites Group normalization,.

CLIP-TNseg: A Multi-Modal Hybrid Framework for Thyroid Nodule Segmentation in Ultrasound Images Group normalization,

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-11T20:40:27.062417Z

Source-reported events for the cited work

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Observation 469389c4-94c0-4eb1-9f71-24e5dc77cfdb · outbound

This paper cites an unresolved cited work.

CLIP-TNseg: A Multi-Modal Hybrid Framework for Thyroid Nodule Segmentation in Ultrasound Images Unresolved cited work

Reference 9287

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Source-reported events for the cited work

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Pith citing papers

Observation 3aac232b-4168-4ea3-8dab-0063e2d57c6f · inbound

XBusNet: Text-Guided Breast Ultrasound Segmentation via Multimodal Vision-Language Learning cites this paper.

XBusNet: Text-Guided Breast Ultrasound Segmentation via Multimodal Vision-Language Learning CLIP-TNseg: A Multi-Modal Hybrid Framework for Thyroid Nodule Segmentation in Ultrasound Images

Reference 47

Resolution: verified exact; local_arxiv, observed 2026-08-04T22:44:43.502960Z

Source-reported events for the cited work

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Observation 9856dfe7-a976-4db1-b76e-811c82d0e20a · inbound

Auditable agentic AI for evidence-grounded thyroid ultrasound diagnosis and reporting cites this paper.

Auditable agentic AI for evidence-grounded thyroid ultrasound diagnosis and reporting CLIP-TNseg: A Multi-Modal Hybrid Framework for Thyroid Nodule Segmentation in Ultrasound Images

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-16T00:08:07.536988Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.