Paper Citation Record · LEDGER

HResFormer: Hybrid Residual Transformer for Volumetric Medical Image Segmentation

As of 18 August 2026, this Paper Citation Record lists 20 of 20 outbound references and 0 inbound Pith citation observations for arXiv:2412.11458.

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

pith.paper-citation-record.v1
2412.11458 v1

Coverage vector

measured 20 of 20 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T14:58:38.289732Z

measured 20 of 20 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+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

20 of 20 outbound references displayed

verified exact0
verified fuzzy14
unresolved6
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a04c3301-4649-4b68-bade-3fbac9fe622c · outbound

This paper cites Utnet: a hybrid transformer ar- chitecture for medical image segmentation,.

HResFormer: Hybrid Residual Transformer for Volumetric Medical Image Segmentation Utnet: a hybrid transformer ar- chitecture for medical image segmentation,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:58:39.140118Z

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.

Observation 0d76728d-19e2-44b5-90e3-0923f9c0ddb3 · outbound

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

HResFormer: Hybrid Residual Transformer for Volumetric Medical Image Segmentation U-Net: Convolutional net- works for biomedical image segmentation,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:58:38.861967Z

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.

Observation 6c1d72e8-7e82-4858-98ab-734d3a3a7fbe · outbound

This paper cites SpecTr: Spectral Transformer for Hyperspectral Pathology Image Segmentation.

HResFormer: Hybrid Residual Transformer for Volumetric Medical Image Segmentation SpecTr: Spectral Transformer for Hyperspectral Pathology Image Segmentation

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-11T14:58:38.129788Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a91406b5-6e14-4005-9110-41f20d1316f4 · outbound

This paper cites Swin unetr: Swin transformers for semantic segmentation of brain tumors in mri images,.

HResFormer: Hybrid Residual Transformer for Volumetric Medical Image Segmentation Swin unetr: Swin transformers for semantic segmentation of brain tumors in mri images,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:58:38.799642Z

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.

Observation 07b5e381-5aa3-4906-8707-9e7a09f04da3 · outbound

This paper cites Phtrans: Parallelly aggregating global and local representations for medical image segmentation,.

HResFormer: Hybrid Residual Transformer for Volumetric Medical Image Segmentation Phtrans: Parallelly aggregating global and local representations for medical image segmentation,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:58:38.769076Z

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.

Observation 1fc39fe2-3bca-4f89-9922-bc1f93756afc · outbound

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

HResFormer: Hybrid Residual Transformer for Volumetric Medical Image Segmentation V-net: Fully convolutional neural networks for volumetric medical image segmentation,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:58:38.503641Z

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.

Observation 2b10b6ab-0ea0-4c39-aad8-dfcfd698f8b7 · outbound

This paper cites Mamba: Linear-Time Sequence Modeling with Selective State Spaces.

HResFormer: Hybrid Residual Transformer for Volumetric Medical Image Segmentation Mamba: Linear-Time Sequence Modeling with Selective State Spaces

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-11T14:58:38.278588Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b222905f-c2b0-41fc-ba85-2147c80f0de3 · outbound

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

HResFormer: Hybrid Residual Transformer for Volumetric Medical Image Segmentation TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-11T14:58:37.980368Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d3dfe5c5-4bd5-48fb-b081-4b658a884041 · outbound

This paper cites Segment anything,.

HResFormer: Hybrid Residual Transformer for Volumetric Medical Image Segmentation Segment anything,

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:58:38.465194Z

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.

Observation 10f3463d-9a41-4bc5-a561-a5a8cd2c5172 · outbound

This paper cites Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge.

HResFormer: Hybrid Residual Transformer for Volumetric Medical Image Segmentation Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge

Reference 203

Resolution: unresolved; no resolver link, observed 2026-08-11T14:58:38.272167Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 071d6e19-0073-4553-b2c6-86bb02ee743f · outbound

This paper cites 10 041–10.

HResFormer: Hybrid Residual Transformer for Volumetric Medical Image Segmentation 10 041–10

Reference 235

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:58:38.484031Z

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.

Observation 24e390d8-d0d9-455e-ac97-8aa0261f5ef2 · outbound

This paper cites Shunted self-attention via multi-scale token aggregation,.

HResFormer: Hybrid Residual Transformer for Volumetric Medical Image Segmentation Shunted self-attention via multi-scale token aggregation,

Reference 357

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:58:38.667840Z

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.

Observation 45f9ead0-9467-4475-8c19-e92ba6852be0 · outbound

This paper cites MISSFormer: An Effective Medical Image Segmentation Transformer.

HResFormer: Hybrid Residual Transformer for Volumetric Medical Image Segmentation MISSFormer: An Effective Medical Image Segmentation Transformer

Reference 464

Resolution: unresolved; no resolver link, observed 2026-08-11T14:58:38.261971Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8c6e856a-49f0-47ba-8668-3e78435b9c67 · outbound

This paper cites Dlformer: Discrete latent transformer for video inpainting. 2022 ieee,.

HResFormer: Hybrid Residual Transformer for Volumetric Medical Image Segmentation Dlformer: Discrete latent transformer for video inpainting. 2022 ieee,

Reference 862

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:58:38.544724Z

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.

Observation eb54d188-a1ec-4217-a051-4467312accd6 · outbound

This paper cites Lamp: Large deep nets with automated model parallelism for image segmentation,.

HResFormer: Hybrid Residual Transformer for Volumetric Medical Image Segmentation Lamp: Large deep nets with automated model parallelism for image segmentation,

Reference 2017

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:58:38.843220Z

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.

Observation cd1a711f-d97a-49cf-b6d3-dbe11936e464 · outbound

This paper cites Superhuman Accuracy on the SNEMI3D Connectomics Challenge.

HResFormer: Hybrid Residual Transformer for Volumetric Medical Image Segmentation Superhuman Accuracy on the SNEMI3D Connectomics Challenge

Reference 2018

Resolution: unresolved; no resolver link, observed 2026-08-11T14:58:38.001182Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e1fc5973-52ef-48a4-bab9-3df939194cd8 · outbound

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

HResFormer: Hybrid Residual Transformer for Volumetric Medical Image Segmentation Swin transformer: Hierarchical vision transformer using shifted windows,

Reference 2021

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:58:39.221390Z

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.

Observation 356111cc-db69-4a61-8875-fe25fd3a576e · outbound

This paper cites Multi- compound transformer for accurate biomedical image segmentation,.

HResFormer: Hybrid Residual Transformer for Volumetric Medical Image Segmentation Multi- compound transformer for accurate biomedical image segmentation,

Reference 2022

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:58:38.821182Z

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.

Observation 72ef6a5e-c132-4a0b-854a-e152129f3772 · outbound

This paper cites Cotr: Efficiently bridging cnn and transformer for 3d medical image segmentation,.

HResFormer: Hybrid Residual Transformer for Volumetric Medical Image Segmentation Cotr: Efficiently bridging cnn and transformer for 3d medical image segmentation,

Reference 2023

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:58:38.908406Z

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.

Observation fdab4b73-4aba-4a4b-a04b-effe7ecf12ce · outbound

This paper cites Reciprocal transformations for unsupervised video object segmentation,.

HResFormer: Hybrid Residual Transformer for Volumetric Medical Image Segmentation Reciprocal transformations for unsupervised video object segmentation,

Reference 2024

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:58:38.521943Z

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.

Pith citing papers

No inbound Pith citation observations are available.