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Paper Citation Record · LEDGER

U-RWKV: Lightweight medical image segmentation with direction-adaptive RWKV

As of 19 August 2026, this Paper Citation Record lists 31 of 31 outbound references and 1 inbound Pith citation observation for arXiv:2507.11415.

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

pith.paper-citation-record.v1
2507.11415 v1

Coverage vector

measured 31 of 31 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T17:17:31.256276Z

measured 32 of 32 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 2026-08-15T15:49:15.731486Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-15T15:49:16.103540Z

Reference resolution

31 of 31 outbound references displayed

  • verified exact0
  • verified fuzzy14
  • unresolved16
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1c50a1d7-ad62-4a9f-9282-e5fd4326ecc9 · outbound

This paper cites Data in brief28, 104863 (2020).

U-RWKV: Lightweight medical image segmentation with direction-adaptive RWKV Data in brief28, 104863 (2020)

Reference 1

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Observation f7007a8a-9f04-444e-9554-5ddecd1bafa8 · outbound

This paper cites saliency maps from physicians.

U-RWKV: Lightweight medical image segmentation with direction-adaptive RWKV saliency maps from physicians

Reference 2

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source=pdf_text observed=2026-08-06T17:17:29.286151Z digest=sha256:26441a675adc687b9d5fe91776055291678925974cd25ce4235cb381e57c0815

Observation eb81911d-5853-4b54-ab39-39d6f25ca91d · outbound

This paper cites In: European conference on computer vision.

U-RWKV: Lightweight medical image segmentation with direction-adaptive RWKV In: European conference on computer vision

Reference 3

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Observation a9382e61-0b15-48e3-aa4a-13432069ab18 · outbound

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

U-RWKV: Lightweight medical image segmentation with direction-adaptive RWKV TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation

Reference 4

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Observation 257c7d4a-7197-4e19-94f5-abe3e0150c8c · outbound

This paper cites In: MICCAI.

U-RWKV: Lightweight medical image segmentation with direction-adaptive RWKV In: MICCAI

Reference 5

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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.

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Observation 983a5809-afff-4df4-a4ea-cbb41d64ae51 · outbound

This paper cites Skin Lesion Analysis Toward Melanoma Detection 2018: A Challenge Hosted by the International Skin Imaging Collaboration (ISIC).

U-RWKV: Lightweight medical image segmentation with direction-adaptive RWKV Skin Lesion Analysis Toward Melanoma Detection 2018: A Challenge Hosted by the International Skin Imaging Collaboration (ISIC)

Reference 6

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Observation e1ba7fb4-42f0-43d4-ae12-fafe98035da8 · outbound

This paper cites In: CVPR.

U-RWKV: Lightweight medical image segmentation with direction-adaptive RWKV In: CVPR

Reference 7

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

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Observation ad24baf1-8310-49ad-b444-d380e3917a4a · outbound

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

U-RWKV: Lightweight medical image segmentation with direction-adaptive RWKV An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 8

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source=pdf_text observed=2026-08-06T17:17:29.682904Z digest=sha256:1b01fdcc43d59012740cbfc448d53af894d614ea864e28440159dbd455c6b461

Observation 2a372d0b-bce7-4f6c-baac-ff6591966cca · outbound

This paper cites Vision-RWKV: Efficient and Scalable Visual Perception with RWKV-Like Architectures.

U-RWKV: Lightweight medical image segmentation with direction-adaptive RWKV Vision-RWKV: Efficient and Scalable Visual Perception with RWKV-Like Architectures

Reference 9

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Observation cebe57ea-2faf-44bf-ad2e-8b87c333a6f2 · outbound

This paper cites Journal of Imaging 6(7), 69 (2020).

U-RWKV: Lightweight medical image segmentation with direction-adaptive RWKV Journal of Imaging 6(7), 69 (2020)

Reference 10

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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.

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Observation 57ce3045-551a-4f80-ae98-933f4220cc23 · outbound

This paper cites Knowledge-based systems253, 109512 (2022).

U-RWKV: Lightweight medical image segmentation with direction-adaptive RWKV Knowledge-based systems253, 109512 (2022)

Reference 11

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

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Observation 27ebbfed-a536-40af-806b-db213639ca79 · outbound

This paper cites In: ICASSP.

U-RWKV: Lightweight medical image segmentation with direction-adaptive RWKV In: ICASSP

Reference 12

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

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Observation 5c5f893e-6058-44cc-8b7d-76d1a87b0125 · outbound

This paper cites IJCAS 19(5), 939–950 (2024).

U-RWKV: Lightweight medical image segmentation with direction-adaptive RWKV IJCAS 19(5), 939–950 (2024)

Reference 13

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Source-reported events for the cited work

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

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Observation 151e185b-8bb4-4f77-8e54-709aad37d8fe · outbound

This paper cites In: CBMS (2020).

U-RWKV: Lightweight medical image segmentation with direction-adaptive RWKV In: CBMS (2020)

Reference 14

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

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Observation 50cc1f8e-0edb-4977-97d2-f908b4af4927 · outbound

This paper cites an unresolved cited work.

U-RWKV: Lightweight medical image segmentation with direction-adaptive RWKV Unresolved cited work

Reference 15

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

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Observation e3636612-7aff-47c8-bde5-323f76b29a70 · outbound

This paper cites NeurIPS29 (2016).

U-RWKV: Lightweight medical image segmentation with direction-adaptive RWKV NeurIPS29 (2016)

Reference 16

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Source-reported events for the cited work

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

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Observation d658283a-c84e-4724-9c96-56fda85d4b39 · outbound

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

U-RWKV: Lightweight medical image segmentation with direction-adaptive RWKV Attention U-Net: Learning Where to Look for the Pancreas

Reference 17

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Observation a65057a9-06f2-4d2c-8942-b01a1fc3de76 · outbound

This paper cites In: EMNLP (2023).

U-RWKV: Lightweight medical image segmentation with direction-adaptive RWKV In: EMNLP (2023)

Reference 18

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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.

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Observation d9db4050-a49b-4475-963d-7a918dc9ed19 · outbound

This paper cites NPJ digital medicine5(1), 119 (2022).

U-RWKV: Lightweight medical image segmentation with direction-adaptive RWKV NPJ digital medicine5(1), 119 (2022)

Reference 19

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

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Observation dbe398f9-8232-47a8-85ce-effe8bbe19c7 · outbound

This paper cites In: Medical image computing and computer-assisted intervention–MICCAI 2015: 18th international conference, Munich, Germany, Oc- tober 5-9, 2015, proceedings, part III 18.

U-RWKV: Lightweight medical image segmentation with direction-adaptive RWKV In: Medical image computing and computer-assisted intervention–MICCAI 2015: 18th international conference, Munich, Germany, Oc- tober 5-9, 2015, proceedings, part III 18

Reference 20

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Observation c6508286-6794-44b2-b6b5-2118f474509e · outbound

This paper cites VM-UNet: Vision Mamba UNet for Medical Image Segmentation.

U-RWKV: Lightweight medical image segmentation with direction-adaptive RWKV VM-UNet: Vision Mamba UNet for Medical Image Segmentation

Reference 21

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Observation 5437ab6d-da3c-4e24-929f-52a761d9d777 · outbound

This paper cites In: 2024 IEEE International Symposium on Biomedical Imaging (ISBI).

U-RWKV: Lightweight medical image segmentation with direction-adaptive RWKV In: 2024 IEEE International Symposium on Biomedical Imaging (ISBI)

Reference 22

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Observation 2c12f71b-bc99-4023-9cb1-004d53e291cf · outbound

This paper cites MobileUtr: Revisiting the relationship between light-weight CNN and Transformer for efficient medical image segmentation.

U-RWKV: Lightweight medical image segmentation with direction-adaptive RWKV MobileUtr: Revisiting the relationship between light-weight CNN and Transformer for efficient medical image segmentation

Reference 23

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

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Observation 7533095d-c47d-48ed-a552-368fb55d9e53 · outbound

This paper cites Medical Image Analysis p.

U-RWKV: Lightweight medical image segmentation with direction-adaptive RWKV Medical Image Analysis p

Reference 24

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

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Observation 57f49ddb-45f0-41a6-9f1e-df4ae0935570 · outbound

This paper cites In: ISBI.

U-RWKV: Lightweight medical image segmentation with direction-adaptive RWKV In: ISBI

Reference 25

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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.

source=pdf_text observed=2026-08-06T17:17:30.905218Z digest=sha256:68421782f92e2c1e78d3f5478e0e99f43fdb496db901eee1a926584a3fe52186

Observation b83af523-7766-4177-8aac-ff5bab472ce7 · outbound

This paper cites In: MICCAI.

U-RWKV: Lightweight medical image segmentation with direction-adaptive RWKV In: MICCAI

Reference 26

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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.

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Observation 7f0945f6-c4b2-4ccc-a866-6ef52e0919b0 · outbound

This paper cites Hi-End-MAE: Hierarchical encoder-driven masked autoencoders are stronger vision learners for medical image segmentation.

U-RWKV: Lightweight medical image segmentation with direction-adaptive RWKV Hi-End-MAE: Hierarchical encoder-driven masked autoencoders are stronger vision learners for medical image segmentation

Reference 27

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Observation bb87552b-a5de-4d6d-b15c-917c4869e9d3 · outbound

This paper cites In: MICCAI.

U-RWKV: Lightweight medical image segmentation with direction-adaptive RWKV In: MICCAI

Reference 28

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raw_fallback, observed 2026-08-06T17:17:31.692091Z

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.

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Observation 3e599052-763a-4f15-9c01-554e3f40fc40 · outbound

This paper cites In: MICCAI.

U-RWKV: Lightweight medical image segmentation with direction-adaptive RWKV In: MICCAI

Reference 29

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Unavailable: canonical work link unavailable.

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Observation e6436e47-e278-47eb-a64d-e29dadae665e · outbound

This paper cites HYATT-Net is Grand: A Hybrid Attention Network for Performant Anatomical Landmark Detection.

U-RWKV: Lightweight medical image segmentation with direction-adaptive RWKV HYATT-Net is Grand: A Hybrid Attention Network for Performant Anatomical Landmark Detection

Reference 30

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Observation 1941498a-a530-41ea-b983-ec087c7a8253 · outbound

This paper cites an unresolved cited work.

U-RWKV: Lightweight medical image segmentation with direction-adaptive RWKV Unresolved cited work

Reference 31

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Pith citing papers

Observation dfe3559d-d394-465e-a79a-6777bd18576c · inbound

Johnson-Lindenstrauss Lemma Guided Network for Efficient 3D Medical Segmentation cites this paper.

Johnson-Lindenstrauss Lemma Guided Network for Efficient 3D Medical Segmentation U-RWKV: Lightweight medical image segmentation with direction-adaptive RWKV

Reference 20

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local_arxiv, observed 2026-08-15T15:49:16.109901Z

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.

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