Paper Citation Record · LEDGER

BATS: Resource-Efficient Volumetric Segmentation with Boundary-Aware Mixed-Resolution Tokens

As of 22 August 2026, this Paper Citation Record lists 35 of 35 outbound references and 0 inbound Pith citation observations for arXiv:2607.26829.

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

pith.paper-citation-record.v1
2607.26829 v1

Coverage vector

measured 35 of 35 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-30T19:52:25.101852Z

measured 35 of 35 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+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

35 of 35 outbound references displayed

verified exact0
verified fuzzy0
unresolved35
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c4b4ca1f-367a-4c8d-a32c-d0241aef341d · outbound

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

BATS: Resource-Efficient Volumetric Segmentation with Boundary-Aware Mixed-Resolution Tokens The RSNA-ASNR-MICCAI BraTS 2021 Benchmark on Brain Tumor Segmentation and Radiogenomic Classification

Reference 1

Resolution: unresolved; no resolver link, observed 2026-07-30T19:52:24.965617Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8ae00a9c-a450-435e-8158-bd7c1f4b9b1e · outbound

This paper cites an unresolved cited work.

BATS: Resource-Efficient Volumetric Segmentation with Boundary-Aware Mixed-Resolution Tokens Unresolved cited work

Reference 2

Resolution: unresolved; no resolver link, observed 2026-07-30T19:52:24.971397Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 25bf9e28-ae57-4bf8-ae0b-137687676e96 · outbound

This paper cites Medical image analysis84, 102680 (2023).

BATS: Resource-Efficient Volumetric Segmentation with Boundary-Aware Mixed-Resolution Tokens Medical image analysis84, 102680 (2023)

Reference 3

Resolution: unresolved; no resolver link, observed 2026-07-30T19:52:24.975708Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8f9b7fe7-923e-4ee7-bc32-120684141253 · outbound

This paper cites Token Merging: Your ViT But Faster.

BATS: Resource-Efficient Volumetric Segmentation with Boundary-Aware Mixed-Resolution Tokens Token Merging: Your ViT But Faster

Reference 4

Resolution: unresolved; no resolver link, observed 2026-07-30T19:52:24.979632Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9e54ab46-a737-4f2b-9227-f3dca394f822 · outbound

This paper cites In: International Conference on Medical Im- age Computing and Computer-Assisted Intervention.

BATS: Resource-Efficient Volumetric Segmentation with Boundary-Aware Mixed-Resolution Tokens In: International Conference on Medical Im- age Computing and Computer-Assisted Intervention

Reference 5

Resolution: unresolved; no resolver link, observed 2026-07-30T19:52:24.984052Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 192e2f6e-0a7d-4105-be4f-2d16061d9a72 · outbound

This paper cites arXiv preprint arXiv:2603.26258 (2026).

BATS: Resource-Efficient Volumetric Segmentation with Boundary-Aware Mixed-Resolution Tokens arXiv preprint arXiv:2603.26258 (2026)

Reference 6

Resolution: unresolved; no resolver link, observed 2026-07-30T19:52:24.988066Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b0080e75-3270-4c70-8f6e-c8dcbeccf33b · outbound

This paper cites In: International Conference on Medical Image Computing and Computer-Assisted Intervention.

BATS: Resource-Efficient Volumetric Segmentation with Boundary-Aware Mixed-Resolution Tokens In: International Conference on Medical Image Computing and Computer-Assisted Intervention

Reference 7

Resolution: unresolved; no resolver link, observed 2026-07-30T19:52:24.992115Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 76cf79b8-ed52-42d4-b605-e8566b40d5c3 · outbound

This paper cites In: CVPR.

BATS: Resource-Efficient Volumetric Segmentation with Boundary-Aware Mixed-Resolution Tokens In: CVPR

Reference 8

Resolution: unresolved; no resolver link, observed 2026-07-30T19:52:24.996324Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 22e83790-4987-4d53-8cf2-2d0065f8d83c · outbound

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

BATS: Resource-Efficient Volumetric Segmentation with Boundary-Aware Mixed-Resolution Tokens The KiTS21 Challenge: Automatic segmentation of kidneys, renal tumors, and renal cysts in corticomedullary-phase CT

Reference 9

Resolution: unresolved; no resolver link, observed 2026-07-30T19:52:25.000450Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4ef36c17-cf86-4dae-a1f7-2bb02810d77b · outbound

This paper cites STU-Net: Scalable and Transferable Medical Image Segmentation Models Empowered by Large-Scale Supervised Pre-training.

BATS: Resource-Efficient Volumetric Segmentation with Boundary-Aware Mixed-Resolution Tokens STU-Net: Scalable and Transferable Medical Image Segmentation Models Empowered by Large-Scale Supervised Pre-training

Reference 10

Resolution: unresolved; no resolver link, observed 2026-07-30T19:52:25.004673Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c32a7b82-fd60-49f4-8521-cde4abe930d9 · outbound

This paper cites Nature methods18(2), 203–211 (2021).

BATS: Resource-Efficient Volumetric Segmentation with Boundary-Aware Mixed-Resolution Tokens Nature methods18(2), 203–211 (2021)

Reference 11

Resolution: unresolved; no resolver link, observed 2026-07-30T19:52:25.008612Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c18ba085-45c9-4d5e-a2bd-ef5dd2e8e7f0 · outbound

This paper cites In: International Conference on Medical Image Computing and Computer- Assisted Intervention.

BATS: Resource-Efficient Volumetric Segmentation with Boundary-Aware Mixed-Resolution Tokens In: International Conference on Medical Image Computing and Computer- Assisted Intervention

Reference 12

Resolution: unresolved; no resolver link, observed 2026-07-30T19:52:25.012349Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b5618127-6bf4-499f-b91a-ff80ef5f9cae · outbound

This paper cites Advances in neural information processing systems 35, 36722–36732 (2022).

BATS: Resource-Efficient Volumetric Segmentation with Boundary-Aware Mixed-Resolution Tokens Advances in neural information processing systems 35, 36722–36732 (2022)

Reference 13

Resolution: unresolved; no resolver link, observed 2026-07-30T19:52:25.016598Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ccecc71d-f8ca-45b8-ad9d-b225f7b04f75 · outbound

This paper cites In: Proceed- ings of the MICCAI Multi-Atlas Labeling Beyond the Cranial Vault Workshop and Challenge.

BATS: Resource-Efficient Volumetric Segmentation with Boundary-Aware Mixed-Resolution Tokens In: Proceed- ings of the MICCAI Multi-Atlas Labeling Beyond the Cranial Vault Workshop and Challenge

Reference 14

Resolution: unresolved; no resolver link, observed 2026-07-30T19:52:25.020215Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a3dab479-56e8-42cc-a3df-d1a97486f443 · outbound

This paper cites IEEE Journal of Biomedical and Health Informatics (2023).

BATS: Resource-Efficient Volumetric Segmentation with Boundary-Aware Mixed-Resolution Tokens IEEE Journal of Biomedical and Health Informatics (2023)

Reference 15

Resolution: unresolved; no resolver link, observed 2026-07-30T19:52:25.024250Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f9fb09e2-f0f2-48a1-b48a-b55bd1d9a8c8 · outbound

This paper cites IEEE transactions on medical imaging42(8), 2325–2337 (2023).

BATS: Resource-Efficient Volumetric Segmentation with Boundary-Aware Mixed-Resolution Tokens IEEE transactions on medical imaging42(8), 2325–2337 (2023)

Reference 16

Resolution: unresolved; no resolver link, observed 2026-07-30T19:52:25.027644Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a84fb8b1-d253-4814-80e1-c8f5c1607f95 · outbound

This paper cites an unresolved cited work.

BATS: Resource-Efficient Volumetric Segmentation with Boundary-Aware Mixed-Resolution Tokens Unresolved cited work

Reference 17

Resolution: unresolved; no resolver link, observed 2026-07-30T19:52:25.031621Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 10b5e4b0-dee6-4b94-923c-d8d9e058d346 · outbound

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

BATS: Resource-Efficient Volumetric Segmentation with Boundary-Aware Mixed-Resolution Tokens U-Mamba: Enhancing Long-range Dependency for Biomedical Image Segmentation

Reference 18

Resolution: unresolved; no resolver link, observed 2026-07-30T19:52:25.034947Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 75e62da5-cf5d-4373-9f3e-546ae7497a78 · outbound

This paper cites Hagerman et al.

BATS: Resource-Efficient Volumetric Segmentation with Boundary-Aware Mixed-Resolution Tokens Hagerman et al

Reference 19

Resolution: unresolved; no resolver link, observed 2026-07-30T19:52:25.038851Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eea9eb00-23c9-4d87-b813-ce26ae65e17d · outbound

This paper cites In: International MICCAI brainlesion workshop.

BATS: Resource-Efficient Volumetric Segmentation with Boundary-Aware Mixed-Resolution Tokens In: International MICCAI brainlesion workshop

Reference 20

Resolution: unresolved; no resolver link, observed 2026-07-30T19:52:25.042977Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eba19f96-33ff-43cf-9986-2b406d58033f · outbound

This paper cites In: Kidney and Kidney Tumor Segmentation.

BATS: Resource-Efficient Volumetric Segmentation with Boundary-Aware Mixed-Resolution Tokens In: Kidney and Kidney Tumor Segmentation

Reference 21

Resolution: unresolved; no resolver link, observed 2026-07-30T19:52:25.047209Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 256a63c9-3490-4bd2-acae-c0fce04fb65b · outbound

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

BATS: Resource-Efficient Volumetric Segmentation with Boundary-Aware Mixed-Resolution Tokens Attention U-Net: Learning Where to Look for the Pancreas

Reference 22

Resolution: unresolved; no resolver link, observed 2026-07-30T19:52:25.050722Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 60ea61c3-c1e3-4671-b68e-790a4e613dc2 · outbound

This paper cites Advances in neural infor- mation processing systems34, 13937–13949 (2021).

BATS: Resource-Efficient Volumetric Segmentation with Boundary-Aware Mixed-Resolution Tokens Advances in neural infor- mation processing systems34, 13937–13949 (2021)

Reference 23

Resolution: unresolved; no resolver link, observed 2026-07-30T19:52:25.055447Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b8cde173-e8ad-46ac-b626-36a3e121884b · outbound

This paper cites In: International conference on medical image computing and computer-assisted intervention.

BATS: Resource-Efficient Volumetric Segmentation with Boundary-Aware Mixed-Resolution Tokens In: International conference on medical image computing and computer-assisted intervention

Reference 24

Resolution: unresolved; no resolver link, observed 2026-07-30T19:52:25.059074Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 66fbeea3-3c02-4796-afac-931b646c0aba · outbound

This paper cites Medical image analysis53, 197–207 (2019).

BATS: Resource-Efficient Volumetric Segmentation with Boundary-Aware Mixed-Resolution Tokens Medical image analysis53, 197–207 (2019)

Reference 25

Resolution: unresolved; no resolver link, observed 2026-07-30T19:52:25.063525Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 40018378-0c3b-4d1e-9a11-c818e027d7bd · outbound

This paper cites IEEE Transac- tions on Medical Imaging43(9), 3377–3390 (2024).

BATS: Resource-Efficient Volumetric Segmentation with Boundary-Aware Mixed-Resolution Tokens IEEE Transac- tions on Medical Imaging43(9), 3377–3390 (2024)

Reference 26

Resolution: unresolved; no resolver link, observed 2026-07-30T19:52:25.067365Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7f6473d8-02a8-4bdf-a8cf-8c49648b22af · outbound

This paper cites In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition.

BATS: Resource-Efficient Volumetric Segmentation with Boundary-Aware Mixed-Resolution Tokens In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition

Reference 27

Resolution: unresolved; no resolver link, observed 2026-07-30T19:52:25.070799Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aee71fa8-a799-4c8b-ad8a-46fe7060a2e1 · outbound

This paper cites IEEE Transactions on Medical Imaging32(2), 178–188 (2013).

BATS: Resource-Efficient Volumetric Segmentation with Boundary-Aware Mixed-Resolution Tokens IEEE Transactions on Medical Imaging32(2), 178–188 (2013)

Reference 28

Resolution: unresolved; no resolver link, observed 2026-07-30T19:52:25.074613Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b395a205-51b5-4d64-9e83-9fc65ef72610 · outbound

This paper cites In: International conference on medical image computing and computer-assisted intervention.

BATS: Resource-Efficient Volumetric Segmentation with Boundary-Aware Mixed-Resolution Tokens In: International conference on medical image computing and computer-assisted intervention

Reference 29

Resolution: unresolved; no resolver link, observed 2026-07-30T19:52:25.078740Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c0e55a6c-f1b9-4a2c-806d-d00421c324c2 · outbound

This paper cites In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition.

BATS: Resource-Efficient Volumetric Segmentation with Boundary-Aware Mixed-Resolution Tokens In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition

Reference 30

Resolution: unresolved; no resolver link, observed 2026-07-30T19:52:25.082547Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 31aa66bd-4282-4c5d-aae6-a6c6077a6d7c · outbound

This paper cites arXiv preprint arXiv:2601.04519 (2026).

BATS: Resource-Efficient Volumetric Segmentation with Boundary-Aware Mixed-Resolution Tokens arXiv preprint arXiv:2601.04519 (2026)

Reference 31

Resolution: unresolved; no resolver link, observed 2026-07-30T19:52:25.086479Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 964e90ee-a26b-494a-a167-aba448b8ca5d · outbound

This paper cites IEEE transactions on image processing32, 4036–4045 (2023).

BATS: Resource-Efficient Volumetric Segmentation with Boundary-Aware Mixed-Resolution Tokens IEEE transactions on image processing32, 4036–4045 (2023)

Reference 32

Resolution: unresolved; no resolver link, observed 2026-07-30T19:52:25.090525Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b482de5e-9d4d-40e7-9c81-c3a75e0efef4 · outbound

This paper cites In: International Conference on Information Processing in Medical Imaging.

BATS: Resource-Efficient Volumetric Segmentation with Boundary-Aware Mixed-Resolution Tokens In: International Conference on Information Processing in Medical Imaging

Reference 33

Resolution: unresolved; no resolver link, observed 2026-07-30T19:52:25.094474Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c965e32b-86a0-4c86-bb72-ff04e0aa0a63 · outbound

This paper cites Deformable DETR: Deformable Transformers for End-to-End Object Detection.

BATS: Resource-Efficient Volumetric Segmentation with Boundary-Aware Mixed-Resolution Tokens Deformable DETR: Deformable Transformers for End-to-End Object Detection

Reference 34

Resolution: unresolved; no resolver link, observed 2026-07-30T19:52:25.098063Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 42785f3c-daf8-46e3-b40a-07dbb9705a3f · outbound

This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition.

BATS: Resource-Efficient Volumetric Segmentation with Boundary-Aware Mixed-Resolution Tokens In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition

Reference 35

Resolution: unresolved; no resolver link, observed 2026-07-30T19:52:25.101852Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.