Paper Citation Record · LEDGER

Cycle Context Verification for In-Context Medical Image Segmentation

As of 17 August 2026, this Paper Citation Record lists 32 of 32 outbound references and 0 inbound Pith citation observations for arXiv:2507.08357.

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

pith.paper-citation-record.v1
2507.08357 v1

Coverage vector

measured 32 of 32 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T18:24:52.113492Z

measured 32 of 32 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+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

32 of 32 outbound references displayed

verified exact1
verified fuzzy16
unresolved14
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 8deaa42e-af9a-4c1d-9f01-c68ab17149fe · outbound

This paper cites an unresolved cited work.

Cycle Context Verification for In-Context Medical Image Segmentation Unresolved cited work

Reference 1

Resolution: unresolved; raw_fallback, observed 2026-08-06T18:24:55.189524Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 9e7100e1-0137-46b4-b7f6-6ccc20d96a7b · outbound

This paper cites Data in brief28, 104863 (2020).

Cycle Context Verification for In-Context Medical Image Segmentation Data in brief28, 104863 (2020)

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-06T18:24:26.235961Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 37724020-21ce-49b5-8ba0-eaf4118bdecf · outbound

This paper cites Advances in Neural Information Processing Systems35, 25005–25017 (2022).

Cycle Context Verification for In-Context Medical Image Segmentation Advances in Neural Information Processing Systems35, 25005–25017 (2022)

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:24:55.115484Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation a21186b4-a462-4a36-87fa-28feba9d107f · outbound

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

Cycle Context Verification for In-Context Medical Image Segmentation In: Proceedings of the IEEE/CVF International Conference on Computer Vision

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:24:55.030949Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 5ae22b07-d57a-43af-aa85-abfe7fef6291 · outbound

This paper cites Medical Image Analysis98, 103310 (2024).

Cycle Context Verification for In-Context Medical Image Segmentation Medical Image Analysis98, 103310 (2024)

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:24:54.928788Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 5ebb067a-2920-4257-90ba-cb131e40e6ec · outbound

This paper cites IEEE Transactions on Medical Imaging (2024).

Cycle Context Verification for In-Context Medical Image Segmentation IEEE Transactions on Medical Imaging (2024)

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-06T18:24:50.346608Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0805ee46-06ba-495f-8940-1cbe861414ab · outbound

This paper cites In: Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing.

Cycle Context Verification for In-Context Medical Image Segmentation In: Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:24:54.830155Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 5436104c-bcbe-49d4-b498-9866a330c29b · outbound

This paper cites IEEE Transactions on Medical Imaging (2024) 10 S.

Cycle Context Verification for In-Context Medical Image Segmentation IEEE Transactions on Medical Imaging (2024) 10 S

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:24:54.748473Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 7185d668-458a-49f6-9f41-cbaa2694d93d · outbound

This paper cites an unresolved cited work.

Cycle Context Verification for In-Context Medical Image Segmentation Unresolved cited work

Reference 9

Resolution: unresolved; raw_fallback, observed 2026-08-06T18:24:54.604550Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation a46026ad-77e1-414d-be80-b841381529cf · outbound

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

Cycle Context Verification for In-Context Medical Image Segmentation In: Proceedings of the IEEE/CVF International Conference on Computer Vision

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-06T18:24:50.691695Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cf35a2c0-128f-4efe-90fa-6dd0c16c0c5a · outbound

This paper cites Mitigating the Alignment Tax of RLHF.

Cycle Context Verification for In-Context Medical Image Segmentation Mitigating the Alignment Tax of RLHF

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-06T18:24:50.745763Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0bb79352-add1-4d04-bf8e-837e0a49bd98 · outbound

This paper cites Nature Communications15(1), 654 (2024).

Cycle Context Verification for In-Context Medical Image Segmentation Nature Communications15(1), 654 (2024)

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-06T18:24:50.817996Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cac12967-a249-421d-8c4b-224ce96e1381 · outbound

This paper cites Medical Image Analysis 89, 102918 (2023).

Cycle Context Verification for In-Context Medical Image Segmentation Medical Image Analysis 89, 102918 (2023)

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-06T18:24:50.913997Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 30d0fb85-3dc8-4197-a655-e977b8f51a8a · outbound

This paper cites Visual Intelligence 3(1), 1 (2025).

Cycle Context Verification for In-Context Medical Image Segmentation Visual Intelligence 3(1), 1 (2025)

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:24:54.448881Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 3b656414-fb93-4f9e-a4ed-3daf15fe1b0c · outbound

This paper cites s1: Simple test-time scaling.

Cycle Context Verification for In-Context Medical Image Segmentation s1: Simple test-time scaling

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-06T18:24:51.088174Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 36e3f21c-b14b-4a58-a2fc-79aa2ff0aca4 · outbound

This paper cites In: Advances in Visual Computing: 16th International Symposium, ISVC 2021, virtual event, October 4-6, 2021, proceedings, part II.

Cycle Context Verification for In-Context Medical Image Segmentation In: Advances in Visual Computing: 16th International Symposium, ISVC 2021, virtual event, October 4-6, 2021, proceedings, part II

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:24:54.284276Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 47009201-45e5-46d5-bfc6-0843d8a206d4 · outbound

This paper cites Medical Image Analysis59, 101570 (2020).

Cycle Context Verification for In-Context Medical Image Segmentation Medical Image Analysis59, 101570 (2020)

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:24:54.128487Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation eabff54f-8dfe-4117-9a96-ebc28b21365a · outbound

This paper cites In: International Conference on Machine Learning.

Cycle Context Verification for In-Context Medical Image Segmentation In: International Conference on Machine Learning

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-06T18:24:51.290403Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e4440317-97a7-43e9-9537-6c124e9a6c3a · outbound

This paper cites IEEE Transactions on Medical Imaging 34(11), 2366–2378 (2015).

Cycle Context Verification for In-Context Medical Image Segmentation IEEE Transactions on Medical Imaging 34(11), 2366–2378 (2015)

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:24:53.965968Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 1d7f3934-4482-4cf3-9bbc-901512135339 · outbound

This paper cites Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters.

Cycle Context Verification for In-Context Medical Image Segmentation Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-06T18:24:51.421765Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 27c8e37e-a706-4373-8863-f7ec99886af9 · outbound

This paper cites arXiv preprint arXiv:2304.04748 (2023).

Cycle Context Verification for In-Context Medical Image Segmentation arXiv preprint arXiv:2304.04748 (2023)

Reference 21

Resolution: verified exact; raw_fallback, observed 2026-08-06T18:24:52.693194Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 21bdc2a0-886d-44a8-865a-88d2aba22ede · outbound

This paper cites In: European Conference on Computer Vision.

Cycle Context Verification for In-Context Medical Image Segmentation In: European Conference on Computer Vision

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:24:53.783034Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 7c59978d-1842-4771-89f1-8b4495c16534 · outbound

This paper cites Kaggle (2021), https://doi.org/10.34740/kaggle/dsv/3122958.

Cycle Context Verification for In-Context Medical Image Segmentation Kaggle (2021), https://doi.org/10.34740/kaggle/dsv/3122958

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-06T18:24:51.567935Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b05fc6e8-c1f2-4b49-8632-4d10198a310e · outbound

This paper cites Computers in Biology and Medicine148, 105852 (2022) Cycle Context Verification for In-Context Medical Image Segmentation 11.

Cycle Context Verification for In-Context Medical Image Segmentation Computers in Biology and Medicine148, 105852 (2022) Cycle Context Verification for In-Context Medical Image Segmentation 11

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:24:53.637070Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 3506d652-0db8-4014-94ff-d450ae3d6712 · outbound

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

Cycle Context Verification for In-Context Medical Image Segmentation In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:24:53.537762Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 772611c7-1fac-45f6-8c8c-0c98cd362d13 · outbound

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

Cycle Context Verification for In-Context Medical Image Segmentation In: Proceedings of the IEEE/CVF International Conference on Computer Vision

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:24:53.423683Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation bde059a0-b007-4680-ae9a-a4deeff704a6 · outbound

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

Cycle Context Verification for In-Context Medical Image Segmentation In: International Conference on Medical Image Computing and Computer-Assisted Intervention

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:24:53.301875Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation bf7c0ed1-dd91-4675-976a-5be30c5d3b04 · outbound

This paper cites Towards Global Optimal Visual In-Context Learning Prompt Selection.

Cycle Context Verification for In-Context Medical Image Segmentation Towards Global Optimal Visual In-Context Learning Prompt Selection

Reference 28

Resolution: metadata mismatch; local_arxiv, observed 2026-08-06T18:24:52.391502Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 1f447cac-f536-4dde-9253-ceee93745d77 · outbound

This paper cites Visual Intelligence2(1), 19 (2024).

Cycle Context Verification for In-Context Medical Image Segmentation Visual Intelligence2(1), 19 (2024)

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:24:53.136876Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 340fdc8d-7a34-43b2-8efa-9eac5c6c1086 · outbound

This paper cites an unresolved cited work.

Cycle Context Verification for In-Context Medical Image Segmentation Unresolved cited work

Reference 30

Resolution: unresolved; raw_fallback, observed 2026-08-06T18:24:52.980821Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 92c4de10-6711-498c-a498-062986caaf3b · outbound

This paper cites an unresolved cited work.

Cycle Context Verification for In-Context Medical Image Segmentation Unresolved cited work

Reference 31

Resolution: unresolved; raw_fallback, observed 2026-08-06T18:24:52.912711Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation d0069a3d-fdff-4131-9e8f-78b96f8378ba · outbound

This paper cites Nature Methods pp.

Cycle Context Verification for In-Context Medical Image Segmentation Nature Methods pp

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:24:52.829647Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Pith citing papers

No inbound Pith citation observations are available.