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Paper Citation Record · LEDGER

RARE-UNet: Resolution-Aligned Routing Entry for Adaptive Medical Image Segmentation

As of 11 August 2026, this Paper Citation Record lists 17 of 17 outbound references and 0 inbound Pith citation observations for arXiv:2507.15524.

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

pith.paper-citation-record.v1
2507.15524 v1

Coverage vector

measured 17 of 17 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T15:34:59.633541Z

measured 17 of 17 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+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

17 of 17 outbound references displayed

  • verified exact0
  • verified fuzzy13
  • unresolved4
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 3cf33927-c163-474d-b4c2-163c88a69433 · outbound

This paper cites Alzheimer’s & Dementia20(10) (2024) 7350–7360.

RARE-UNet: Resolution-Aligned Routing Entry for Adaptive Medical Image Segmentation Alzheimer’s & Dementia20(10) (2024) 7350–7360

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:35:00.197794Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T15:34:58.058094Z digest=sha256:2e5ac01d9e8aef018edb97b040e0694b791284dfe11fb4e97b7b3004e73a67b1

Observation 0724c4a1-f419-4683-aaa8-ef0ff3568a2c · outbound

This paper cites JournalofCognitive Neuroscience 19(9) (2007) 1498–1507.

RARE-UNet: Resolution-Aligned Routing Entry for Adaptive Medical Image Segmentation JournalofCognitive Neuroscience 19(9) (2007) 1498–1507

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:35:00.191981Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T15:34:58.138815Z digest=sha256:8c82f97ed5cc1b0824803511ec0e40de62b1c291603693448c309710b3477313

Observation 32822c51-28bb-4918-bfd5-e25b172a94fb · outbound

This paper cites In: MICCAI 2015: 18th international conference, Munich, Germany, October 5-9, 2015, proceedings, part III 18, Springer (2015) 234–241 12 S.

RARE-UNet: Resolution-Aligned Routing Entry for Adaptive Medical Image Segmentation In: MICCAI 2015: 18th international conference, Munich, Germany, October 5-9, 2015, proceedings, part III 18, Springer (2015) 234–241 12 S

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:35:00.184265Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T15:34:58.257671Z digest=sha256:f989d077d7a4dc0d12ebe4b1c3585c1ed336d9a4fa1a45d19c930533eb45ce06

Observation 4d1d79b3-b59b-44fa-965d-a451ad0ada17 · outbound

This paper cites In: Deep learning in medical image analysis and multimodal learning for clinical decision support: MICCAI Workshops on DLMIA and ML-CDS, Springer (2018) 3–11.

RARE-UNet: Resolution-Aligned Routing Entry for Adaptive Medical Image Segmentation In: Deep learning in medical image analysis and multimodal learning for clinical decision support: MICCAI Workshops on DLMIA and ML-CDS, Springer (2018) 3–11

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:35:00.178594Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T15:34:58.333918Z digest=sha256:544bc845c872232f1e444c96ee7cfc3de90cfec1d96dc7f1c266cc27c4f804c0

Observation 02d2c701-f538-4d30-8606-4509040e94f7 · outbound

This paper cites IEEE Transac- tions on Medical Imaging39(6) (2019) 1856–1867.

RARE-UNet: Resolution-Aligned Routing Entry for Adaptive Medical Image Segmentation IEEE Transac- tions on Medical Imaging39(6) (2019) 1856–1867

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:35:00.171657Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T15:34:58.391532Z digest=sha256:e3ba8e5de4b9c930a6e6e9adae8f45a774d5ab35c9113d7a8ab7502dd05080ba

Observation 2b8ee061-483d-4cf4-a774-1a2b9d76c719 · outbound

This paper cites In: ICASSP, IEEE (2020) 1055–1059.

RARE-UNet: Resolution-Aligned Routing Entry for Adaptive Medical Image Segmentation In: ICASSP, IEEE (2020) 1055–1059

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:35:00.165382Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T15:34:58.478159Z digest=sha256:0932c3e55053bc5e0670138f7c733085f8f2d6c5ce96773a0c9f236f2c4dfd50

Observation d3cb3701-1506-4886-b1d6-d02258fe1bb4 · outbound

This paper cites Neural Networks121 (2020) 74–87.

RARE-UNet: Resolution-Aligned Routing Entry for Adaptive Medical Image Segmentation Neural Networks121 (2020) 74–87

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:35:00.158748Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T15:34:58.577828Z digest=sha256:151dc3d0de14be08579555a7cf5b12d244ab0646322b0dbb44f8753ce7e86470

Observation b790b35a-9c70-4afa-8664-d2df475f8cdc · outbound

This paper cites IEEE Transactions on Pattern Analysis and Machine Intelligence (2024).

RARE-UNet: Resolution-Aligned Routing Entry for Adaptive Medical Image Segmentation IEEE Transactions on Pattern Analysis and Machine Intelligence (2024)

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-06T15:34:58.682315Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:34:58.682315Z digest=sha256:2086d21b13d49ac1376e54305772067b2233487f1affa8c809537efab391ba3f

Observation 76ad83a0-7e98-452f-970e-e0535945a0cf · outbound

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

RARE-UNet: Resolution-Aligned Routing Entry for Adaptive Medical Image Segmentation In: Proceedings of the IEEE/CVF International Conference on Computer Vision

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:35:00.148923Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T15:34:58.735316Z digest=sha256:a5555965a51733c746b0804f6ea7158de934ac24e074e6b964a7c64df8a69214

Observation 6cd36da7-f891-4b97-b78f-f7bf0fea87ff · outbound

This paper cites Signal, Image and Video Processing 17(4) (2023) 1143–1151.

RARE-UNet: Resolution-Aligned Routing Entry for Adaptive Medical Image Segmentation Signal, Image and Video Processing 17(4) (2023) 1143–1151

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:35:00.140749Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T15:34:58.863150Z digest=sha256:dcbdead8d098a2586433fadfb8e0fcc55301f3e6209496adf5f26e9f6877505a

Observation 8334afd7-9baa-415a-86d4-c913c0221248 · outbound

This paper cites IEEE Transactions on Pattern Analysis and Machine Intelligence 40(4) (2017) 834–848.

RARE-UNet: Resolution-Aligned Routing Entry for Adaptive Medical Image Segmentation IEEE Transactions on Pattern Analysis and Machine Intelligence 40(4) (2017) 834–848

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:35:00.131343Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T15:34:58.964742Z digest=sha256:c56df7877e65ec24213e332dca3b892274a9b8f8d03a35aaca20adb5aa7dbbcb

Observation 340c74d6-007f-453e-83d6-967f733de183 · outbound

This paper cites Nature Methods18(2) (2021) 203–211.

RARE-UNet: Resolution-Aligned Routing Entry for Adaptive Medical Image Segmentation Nature Methods18(2) (2021) 203–211

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:35:00.122386Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T15:34:59.066896Z digest=sha256:59a5cf94d19f15b32c12f97f4d52a85e5b1945588658173fc3afbad04afbae63

Observation aee5124b-9e10-480b-b26e-152ea1385061 · outbound

This paper cites Scientific Data 4(1) (2017) 1–13.

RARE-UNet: Resolution-Aligned Routing Entry for Adaptive Medical Image Segmentation Scientific Data 4(1) (2017) 1–13

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:35:00.115282Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T15:34:59.200345Z digest=sha256:3c59a3154545bbb8c8427cad2dae0773e8ba19c0d5f0015dca6cd031c52a5577

Observation 9d621364-df11-4850-88f6-a1945e54a304 · outbound

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

RARE-UNet: Resolution-Aligned Routing Entry for Adaptive Medical Image Segmentation Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-06T15:34:59.318560Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:34:59.318560Z digest=sha256:62af932cb9f3aea347a3f92e323cc3d292c460a27bbe2091c8a6180bf51bec1a

Observation e5950e1b-eaba-4d36-baf8-f82a094770d8 · outbound

This paper cites A large annotated medical image dataset for the development and evaluation of segmentation algorithms.

RARE-UNet: Resolution-Aligned Routing Entry for Adaptive Medical Image Segmentation A large annotated medical image dataset for the development and evaluation of segmentation algorithms

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-06T15:34:59.420061Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:34:59.420061Z digest=sha256:7eb7cfad924dc0e3fdd1acc5505b161f1e9f45b4606c928108e7a03e87c17a80

Observation 9910954a-311b-412f-add4-275ed935ca64 · outbound

This paper cites Nature Communications13(1) (2022) 4128.

RARE-UNet: Resolution-Aligned Routing Entry for Adaptive Medical Image Segmentation Nature Communications13(1) (2022) 4128

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:35:00.106650Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T15:34:59.537039Z digest=sha256:2aec8bbb92d799ae0ff54295002d797fc57f99ecd35f9c94506ea093ba71d713

Observation 745d64f1-c3a8-4483-a02b-08262f3223ac · outbound

This paper cites an unresolved cited work.

RARE-UNet: Resolution-Aligned Routing Entry for Adaptive Medical Image Segmentation Unresolved cited work

Reference 17

Resolution
unresolved
raw_fallback, observed 2026-08-06T15:34:59.891106Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T15:34:59.633541Z digest=sha256:5f82c2b872155566770b92c8b54b7130a053e734add72acc9516b7dcc5b96440

Pith citing papers

No inbound Pith citation observations are available.