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Paper Citation Record · LEDGER

Learning Segmentation from Radiology Reports

As of 7 August 2026, this Paper Citation Record lists 30 of 30 outbound references and 0 inbound Pith citation observations for arXiv:2507.05582.

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

pith.paper-citation-record.v1
2507.05582 v1

Coverage vector

measured 30 of 30 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T19:30:55.541260Z

measured 30 of 30 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 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

30 of 30 outbound references displayed

  • verified exact0
  • verified fuzzy11
  • unresolved18
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 7a5cc990-fbc1-4494-8801-0b29c8ac5715 · outbound

This paper cites arXiv preprint arXiv:2106.05735 (2021).

Learning Segmentation from Radiology Reports arXiv preprint arXiv:2106.05735 (2021)

Reference 1

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Observation 86a6a5ae-fd12-4f98-8b9d-3a16ddba3695 · outbound

This paper cites an unresolved cited work.

Learning Segmentation from Radiology Reports Unresolved cited work

Reference 2

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

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Observation eabb055f-d22c-43db-98c7-c862e9428f62 · outbound

This paper cites RadGPT: Constructing 3D Image-Text Tumor Datasets.

Learning Segmentation from Radiology Reports RadGPT: Constructing 3D Image-Text Tumor Datasets

Reference 3

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source=pdf_text observed=2026-08-06T19:30:53.244595Z digest=sha256:4cc4c556ed31b43444f52940c2e6af1db96bc9a9cb3216a109c5ca94d3cb1f51

Observation 952c2378-b383-4b63-8874-85675c411afc · outbound

This paper cites The Liver Tumor Segmentation Benchmark (LiTS).

Learning Segmentation from Radiology Reports The Liver Tumor Segmentation Benchmark (LiTS)

Reference 4

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source=pdf_text observed=2026-08-06T19:30:53.355156Z digest=sha256:7bcb107c0cc1d726b4f9d8a701049b679ed2ef71e878286038e65ca3183fdd51

Observation 029f7139-d7a6-4758-b2c5-673fc216858e · outbound

This paper cites Research Square pp.

Learning Segmentation from Radiology Reports Research Square pp

Reference 5

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source=pdf_text observed=2026-08-06T19:30:53.412499Z digest=sha256:972dc2fb2f120b6616b2c11f8d5039fc8af865174a303da12abbf087e5105b26

Observation 8342a8e4-4654-4fd2-a463-db47d9043cb7 · outbound

This paper cites Radiology: Artificial Intelligence 5(5), e230031 (2023).

Learning Segmentation from Radiology Reports Radiology: Artificial Intelligence 5(5), e230031 (2023)

Reference 6

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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 5aff2a71-c5bd-4912-94b9-b12125f7fd43 · outbound

This paper cites In: 2019 IEEE 16th In- ternational Symposium on Biomedical Imaging (ISBI 2019).

Learning Segmentation from Radiology Reports In: 2019 IEEE 16th In- ternational Symposium on Biomedical Imaging (ISBI 2019)

Reference 7

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raw_fallback, observed 2026-08-06T19:30:58.249566Z

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=2026-08-06T19:30:53.545500Z digest=sha256:d11dc281493606f053c002a14db3460a7d4734ef3299b0ba1f0f2d1c97fc590a

Observation 1735aff6-7fa8-407f-9d41-be9860f83ed7 · outbound

This paper cites Machine Intelligence Research pp.

Learning Segmentation from Radiology Reports Machine Intelligence Research pp

Reference 8

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

source=pdf_text observed=2026-08-06T19:30:53.621449Z digest=sha256:981bed4a5f92ef8edf155c31a1d5644cdca3f3941b51f49b6caa7ed465948ee5

Observation 60991db1-a993-449e-a46f-9a13a3d2eb9d · outbound

This paper cites an unresolved cited work.

Learning Segmentation from Radiology Reports Unresolved cited work

Reference 9

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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=2026-08-06T19:30:53.701051Z digest=sha256:6bcc5d06983fdb6c77f108982a2c1a1a9134c598d8cf08b3ce1b6804109e9eb7

Observation 94060bce-1f4e-4cea-b7eb-ba6f011c4d0c · outbound

This paper cites The Llama 3 Herd of Models.

Learning Segmentation from Radiology Reports The Llama 3 Herd of Models

Reference 10

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source=pdf_text observed=2026-08-06T19:30:53.783953Z digest=sha256:604dae3e9aee51dbf33ab6b21ce2d0e6597592043f44e1677e9c9cd92df9711f

Observation 4d674fce-1018-4224-b1f3-f4ccbf0c3bff · outbound

This paper cites A Data-scalable Transformer for Medical Image Segmentation: Architecture, Model Efficiency, and Benchmark.

Learning Segmentation from Radiology Reports A Data-scalable Transformer for Medical Image Segmentation: Architecture, Model Efficiency, and Benchmark

Reference 11

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Observation cd2639ba-7567-43a9-9d19-33c8c3de308b · outbound

This paper cites CT2Rep: Automated Radiology Report Generation for 3D Medical Imaging.

Learning Segmentation from Radiology Reports CT2Rep: Automated Radiology Report Generation for 3D Medical Imaging

Reference 12

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Observation 2c618fd0-7eb1-40a7-a141-ad40f79f972e · outbound

This paper cites The KiTS19 Challenge Data: 300 Kidney Tumor Cases with Clinical Context, CT Semantic Segmentations, and Surgical Outcomes.

Learning Segmentation from Radiology Reports The KiTS19 Challenge Data: 300 Kidney Tumor Cases with Clinical Context, CT Semantic Segmentations, and Surgical Outcomes

Reference 13

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source=pdf_text observed=2026-08-06T19:30:54.057497Z digest=sha256:9edc7a45da6fff0292a2d23ae1385a72dea36e1f5f883a7dd77e386b3e41ddc6

Observation c173efed-7514-4aeb-a474-1fc410161856 · outbound

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

Learning Segmentation from Radiology Reports Nature Methods18(2), 203–211 (2021)

Reference 14

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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 95136065-cb32-4251-b15d-bf13a8276901 · outbound

This paper cites nnU-Net Revisited: A Call for Rigorous Validation in 3D Medical Image Segmentation.

Learning Segmentation from Radiology Reports nnU-Net Revisited: A Call for Rigorous Validation in 3D Medical Image Segmentation

Reference 15

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Observation 5551990e-e0e3-4e2c-8f66-257d689bd30d · outbound

This paper cites Towards Unifying Anatomy Segmentation: Automated Generation of a Full-body CT Dataset via Knowledge Aggregation and Anatomical Guidelines.

Learning Segmentation from Radiology Reports Towards Unifying Anatomy Segmentation: Automated Generation of a Full-body CT Dataset via Knowledge Aggregation and Anatomical Guidelines

Reference 16

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source=pdf_text observed=2026-08-06T19:30:54.314031Z digest=sha256:69f1c03794bfd29fca7a3f69d69d7b40a6e8ba9f331e64f131683e0b5ba009fa

Observation 7f3d2885-dc90-4893-9224-0fade570ce7b · outbound

This paper cites AMOS: A Large-Scale Abdominal Multi-Organ Benchmark for Versatile Medical Image Segmentation.

Learning Segmentation from Radiology Reports AMOS: A Large-Scale Abdominal Multi-Organ Benchmark for Versatile Medical Image Segmentation

Reference 17

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Observation a2eb7007-aa29-4b53-aa5b-df5f345b2a79 · outbound

This paper cites arXiv preprint arXiv:2501.03410 (2025),https://github.

Learning Segmentation from Radiology Reports arXiv preprint arXiv:2501.03410 (2025),https://github

Reference 18

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Observation 8d3099e0-142d-4b7f-95e6-825b8a9b0b52 · outbound

This paper cites Medical Image Analysis p.

Learning Segmentation from Radiology Reports Medical Image Analysis p

Reference 19

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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 3eb591b0-690f-45b5-8d94-5a9adb9d8294 · outbound

This paper cites an unresolved cited work.

Learning Segmentation from Radiology Reports Unresolved cited work

Reference 20

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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=2026-08-06T19:30:54.722508Z digest=sha256:a82f3ccbcf7a45c313e5f934b4995f47d538c687144834756ed5357a98ae2b74

Observation 9d352f20-ed82-4e7b-92a6-a2d5fbab5182 · outbound

This paper cites PanTS: The Pancreatic Tumor Segmentation Dataset.

Learning Segmentation from Radiology Reports PanTS: The Pancreatic Tumor Segmentation Dataset

Reference 21

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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=2026-08-06T19:30:54.810202Z digest=sha256:a89f666d1ac76f9a4f0e1492f627a08c99d3ca1469803cf2d9b2d568a53b77d1

Observation da1ffc04-64e0-49fe-b301-d2dc1dfbc7c0 · outbound

This paper cites Automatic Organ and Pan-cancer Segmentation in Abdomen CT: the FLARE 2023 Challenge.

Learning Segmentation from Radiology Reports Automatic Organ and Pan-cancer Segmentation in Abdomen CT: the FLARE 2023 Challenge

Reference 22

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Observation 86f72d95-2379-46c5-8ef3-154469cfb4be · outbound

This paper cites Cancer47(1), 207–214 (1981).

Learning Segmentation from Radiology Reports Cancer47(1), 207–214 (1981)

Reference 23

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

source=pdf_text observed=2026-08-06T19:30:54.984207Z digest=sha256:239b601b95198dc3dc1c03ff0321c0d21e4a496d5bfde8eda1a130b23ea8188d

Observation 055175c5-8cb3-40a3-a4ef-39b3b84f53cf · outbound

This paper cites Diagnostic and interventional imaging101(1), 35–44 (2020).

Learning Segmentation from Radiology Reports Diagnostic and interventional imaging101(1), 35–44 (2020)

Reference 24

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

source=pdf_text observed=2026-08-06T19:30:55.069865Z digest=sha256:341d1b078716246f91a965c9d039e8a5c7cc2e2ab56dcd769ae58a60e3116d5a

Observation a899f7c4-3684-4067-815b-c0adb8a527b0 · outbound

This paper cites In: Conference on Neural Information Processing Systems.

Learning Segmentation from Radiology Reports In: Conference on Neural Information Processing Systems

Reference 25

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

source=pdf_text observed=2026-08-06T19:30:55.146593Z digest=sha256:edf24bb1ed55ac4d5b0e59d3853f2cd17cd8ee860bddbaff80d534370b969fd9

Observation 939fce21-5748-4001-a231-1f218881cbf3 · outbound

This paper cites Radiology: Artificial Intelligence 5(5) (2023).

Learning Segmentation from Radiology Reports Radiology: Artificial Intelligence 5(5) (2023)

Reference 26

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:30:55.223055Z digest=sha256:06089f09fcaf07a2b644db38ed2300dbd56abb832cfe98e379532acbc1707604

Observation 28ba0b0c-4757-467b-b882-022cfc0bbdce · outbound

This paper cites medRxiv (2022).

Learning Segmentation from Radiology Reports medRxiv (2022)

Reference 27

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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=2026-08-06T19:30:55.311572Z digest=sha256:723b56f6dadeed1508fc0838873d5e86188e3d9f327af8bd0d0f4bca136ad74e

Observation 6450b367-f0ac-45c4-937b-3cf1cff9b144 · outbound

This paper cites IEEE transactions on medical imaging40(6), 1618–1631 (2021).

Learning Segmentation from Radiology Reports IEEE transactions on medical imaging40(6), 1618–1631 (2021)

Reference 28

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raw_fallback, observed 2026-08-06T19:30:56.518218Z

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=2026-08-06T19:30:55.386214Z digest=sha256:47163b923dcd3b3057c3de2cf3de0acd20608302f33cedccf932ef91729b4eb2

Observation ecdc2ff4-49c9-4b0d-9b52-7028ae25c82c · outbound

This paper cites an unresolved cited work.

Learning Segmentation from Radiology Reports Unresolved cited work

Reference 29

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

source=pdf_text observed=2026-08-06T19:30:55.485416Z digest=sha256:7c8d9ff4f072cd4192cfa8e8f0472f094af239c0f6e7417562bc642c0c296621

Observation a44e972f-6af3-4fc8-9c9b-2757d14f6941 · outbound

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

Learning Segmentation from Radiology Reports In: International Conference on Medical Image Computing and Computer-Assisted Intervention

Reference 30

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

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Pith citing papers

No inbound Pith citation observations are available.