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Paper Citation Record · LEDGER

nnFormer: Interleaved Transformer for Volumetric Segmentation

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 18 inbound Pith citation observations for arXiv:2109.03201.

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

pith.paper-citation-record.v1
2109.03201 v6

Coverage vector

measured 0 of 0 reference resolution

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Source: paper_references, paper_reference_links

measured 18 of 18 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 18 of 18 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T04:38:09.530568Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T12:49:52.262722Z

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Outbound references

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Pith citing papers

Observation 1d1158a5-e66c-4fbf-8b57-ffbb8cb06ae8 · inbound

Rethinking Brain Tumor Segmentation from the Frequency Domain Perspective cites this paper.

Rethinking Brain Tumor Segmentation from the Frequency Domain Perspective nnFormer: Interleaved Transformer for Volumetric Segmentation

Reference 100

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no resolver link, observed 2026-08-07T04:38:09.530568Z

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Unavailable: canonical work link unavailable.

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Observation 1e69ed0d-20a6-48b9-ba71-925578805611 · inbound

BraTS orchestrator : Democratizing and Disseminating state-of-the-art brain tumor image analysis cites this paper.

BraTS orchestrator : Democratizing and Disseminating state-of-the-art brain tumor image analysis nnFormer: Interleaved Transformer for Volumetric Segmentation

Reference 67

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no resolver link, observed 2026-08-07T00:57:29.773312Z

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source=pdf_text observed=2026-08-07T00:57:29.773312Z digest=sha256:1d8671bcfdae901d02052f26a730a5a592d0713288ca0212f37cbfdb74ca4bfe

Observation de662e6f-50e9-460f-91cf-0c3e9efdc19d · inbound

Improving Prostate Gland Segmentation Using Transformer based Architectures cites this paper.

Improving Prostate Gland Segmentation Using Transformer based Architectures nnFormer: Interleaved Transformer for Volumetric Segmentation

Reference 14

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arxiv_id, observed 2026-05-19T09:17:14.362153Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-19T09:14:19.400299Z digest=sha256:49b351359688a40702a8153c6788d7734651c0bd4a12383a02967e6fc9840505

Observation 84bb5a81-38a0-4b5c-8e52-07e7dc2c84e5 · inbound

Mapping intratumoral heterogeneity through PET-derived washout and deep learning after proton therapy cites this paper.

Mapping intratumoral heterogeneity through PET-derived washout and deep learning after proton therapy nnFormer: Interleaved Transformer for Volumetric Segmentation

Reference 60

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no resolver link, observed 2026-08-06T22:38:49.139016Z

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source=pdf_text observed=2026-08-06T22:38:49.139016Z digest=sha256:05dcb30cdede7210e015e79b15d95d19cff395e2e3bf5c31d47f16dc1df40e96

Observation 05867084-a8e8-4e1a-be99-a8efe167095e · inbound

Advancing Medical Image Segmentation via Self-supervised Instance-adaptive Prototype Learning cites this paper.

Advancing Medical Image Segmentation via Self-supervised Instance-adaptive Prototype Learning nnFormer: Interleaved Transformer for Volumetric Segmentation

Reference 34

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no resolver link, observed 2026-08-06T18:42:38.802485Z

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source=pdf_text observed=2026-08-06T18:42:38.802485Z digest=sha256:85f5c8597f7c398c02a60871a1e8287a2ef63fd6bb000ba868049a19f7cf9954

Observation 4f856173-11dd-4d76-9b8c-39a279eeae79 · inbound

MLRU++: Multiscale Lightweight Residual UNETR++ with Attention for Efficient 3D Medical Image Segmentation cites this paper.

MLRU++: Multiscale Lightweight Residual UNETR++ with Attention for Efficient 3D Medical Image Segmentation nnFormer: Interleaved Transformer for Volumetric Segmentation

Reference 33

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no resolver link, observed 2026-08-06T15:20:56.965523Z

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source=arxiv_source observed=2026-08-06T15:20:56.965523Z digest=sha256:7b2ad8c6b9d3e845a70a4294640085f19dd95953cbd8a72d8e4025b936f905e4

Observation d047a55d-257a-4aa7-8ff0-99bb9e3f3c04 · inbound

ScSAM: Debiasing Morphology and Distributional Variability in Subcellular Semantic Segmentation cites this paper.

ScSAM: Debiasing Morphology and Distributional Variability in Subcellular Semantic Segmentation nnFormer: Interleaved Transformer for Volumetric Segmentation

Reference 41

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no resolver link, observed 2026-08-06T15:00:56.423515Z

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source=pdf_text observed=2026-08-06T15:00:56.423515Z digest=sha256:c7587bc8fc7d4788b991d9b84fcd6b3ee172456385290167143d304172dffc31

Observation bf6937d6-1565-4497-83f5-dee1b3c3a63c · inbound

Pre- and Post-Treatment Glioma Segmentation with the Medical Imaging Segmentation Toolkit cites this paper.

Pre- and Post-Treatment Glioma Segmentation with the Medical Imaging Segmentation Toolkit nnFormer: Interleaved Transformer for Volumetric Segmentation

Reference 27

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no resolver link, observed 2026-08-06T14:15:29.815569Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:15:29.815569Z digest=sha256:71ef0371310352ba1debba4e478a571e994a1850c7a41abffae71d1e8f1f1a1a

Observation 198f4063-8ea3-425e-866e-30e2d04df956 · inbound

Dual Interaction Network with Cross-Image Attention for Medical Image Segmentation cites this paper.

Dual Interaction Network with Cross-Image Attention for Medical Image Segmentation nnFormer: Interleaved Transformer for Volumetric Segmentation

Reference 45

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no resolver link, observed 2026-08-05T04:51:41.048409Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T04:51:41.048409Z digest=sha256:fab994d756dde1ff23eb62899ff8bfa2bb027baebe03fb9f4682762274a5e188

Observation ac013080-0bf6-423e-acd2-f77b099e9401 · inbound

Unified Start, Personalized End: Progressive Pruning for Efficient 3D Medical Image Segmentation cites this paper.

Unified Start, Personalized End: Progressive Pruning for Efficient 3D Medical Image Segmentation nnFormer: Interleaved Transformer for Volumetric Segmentation

Reference 16

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no resolver link, observed 2026-08-04T19:27:19.456004Z

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source=pdf_text observed=2026-08-04T19:27:19.456004Z digest=sha256:4e8905a0d8c8a14c8fd3594d3550c733e8465a03839953f5be6da89e7e13ed00

Observation f6e2e4e1-e71b-47ad-b1f3-8677d884207f · inbound

Focal Modulation and Bidirectional Feature Fusion Network for Medical Image Segmentation cites this paper.

Focal Modulation and Bidirectional Feature Fusion Network for Medical Image Segmentation nnFormer: Interleaved Transformer for Volumetric Segmentation

Reference 70

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verified exact
arxiv_id, observed 2026-05-18T04:15:51.421499Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-18T04:14:14.277347Z digest=sha256:efdcab372b51a343604315171a0d121a2852358a0a971cfbacfcb4005e9b3ea3

Observation b2528234-ff8e-4086-a59c-3de3825d6724 · inbound

Segmentation, Detection and Explanation: A Unified Framework for CT Appearance Reasoning cites this paper.

Segmentation, Detection and Explanation: A Unified Framework for CT Appearance Reasoning nnFormer: Interleaved Transformer for Volumetric Segmentation

Reference 50

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verified exact
arxiv_id, observed 2026-05-20T18:23:37.682200Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-20T18:20:38.720544Z digest=sha256:8a61e5ca957a7bcf2007c33f804766a0f03f8bd904a5e500505afcd3fc39c043

Observation 9a8a0ca6-00cc-49d6-b14b-5291eccd1e60 · inbound

MHMamba: Multi-Head Mamba for 3D Brain Tumor Segmentation cites this paper.

MHMamba: Multi-Head Mamba for 3D Brain Tumor Segmentation nnFormer: Interleaved Transformer for Volumetric Segmentation

Reference 44

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verified exact
arxiv_id, observed 2026-05-20T18:28:52.984134Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 36d38baf-4bcf-4bfa-9ca4-bd777d2e1482 · inbound

MS-DKC: A Dataset Knowledge Card Framework for Designing and Adapting Medical Image Segmentation Models cites this paper.

MS-DKC: A Dataset Knowledge Card Framework for Designing and Adapting Medical Image Segmentation Models nnFormer: Interleaved Transformer for Volumetric Segmentation

Reference 9

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arxiv_id, observed 2026-07-02T12:46:56.588791Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-28T01:54:34.167016Z digest=sha256:0b6ab9c32b81d686f097b8c74446f5f040fac4291c998516cd98bd3a99be3db1

Observation d022cbc8-441e-404f-be76-fdf478be26a1 · inbound

A Positron Range Correction with Texture Preservation Framework in PET Imaging cites this paper.

A Positron Range Correction with Texture Preservation Framework in PET Imaging nnFormer: Interleaved Transformer for Volumetric Segmentation

Reference 44

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verified exact
arxiv_id, observed 2026-07-04T12:49:52.264433Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-26T06:01:18.254619Z digest=sha256:e1c09ae86b258316777c927c1081461963379edc3d6b8bb4362bd2af3f029559

Observation e9b7228a-6df0-47bd-868e-d336d0545d3e · inbound

Super-Generalist: Towards Comprehensive and Accurate Medical Image Understanding via Generalist-Specialist Synergy cites this paper.

Super-Generalist: Towards Comprehensive and Accurate Medical Image Understanding via Generalist-Specialist Synergy nnFormer: Interleaved Transformer for Volumetric Segmentation

Reference 46

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no resolver link, observed 2026-07-13T05:10:19.996629Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T05:10:19.996629Z digest=sha256:feecf69d2910060d292adf0f65307edc50a30ac1830cbc802d1052d41accf9ab

Observation 364c4676-6b52-4409-8b14-0e50347512b0 · inbound

One-for-All Adaptive Radiotherapy Planning Agent: A Foundation Framework for Daily CBCT-guided Radiotherapy cites this paper.

One-for-All Adaptive Radiotherapy Planning Agent: A Foundation Framework for Daily CBCT-guided Radiotherapy nnFormer: Interleaved Transformer for Volumetric Segmentation

Reference 47

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no resolver link, observed 2026-08-02T00:53:00.253672Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T00:53:00.253672Z digest=sha256:fe95500a51c0aa2740aefdbb9800047931ae495244a6608059ed28b4173c1763

Observation bd3e0292-2353-4925-bbde-116350a90f0d · inbound

SAM+D: Parameter-Efficient Dimensional Lifting of SAM-Family Models via Depth-Routed LoRA and Depth Shifting cites this paper.

SAM+D: Parameter-Efficient Dimensional Lifting of SAM-Family Models via Depth-Routed LoRA and Depth Shifting nnFormer: Interleaved Transformer for Volumetric Segmentation

Reference 52

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no resolver link, observed 2026-08-03T15:00:02.206248Z

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Unavailable: canonical work link unavailable.

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