Paper Citation Record · LEDGER

Learning from Sparse Point Labels for Dense Carcinosis Localization in Advanced Ovarian Cancer Assessment

As of 22 August 2026, this Paper Citation Record lists 27 of 27 outbound references and 0 inbound Pith citation observations for arXiv:2507.06643.

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

pith.paper-citation-record.v1
2507.06643 v1

Coverage vector

measured 27 of 27 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T19:03:44.786384Z

measured 27 of 27 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+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

27 of 27 outbound references displayed

verified exact1
verified fuzzy16
unresolved10
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 61eefab6-4cc2-43eb-99dc-076733a6be0c · outbound

This paper cites 2017 Robotic Instrument Segmentation Challenge.

Learning from Sparse Point Labels for Dense Carcinosis Localization in Advanced Ovarian Cancer Assessment 2017 Robotic Instrument Segmentation Challenge

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-06T19:03:41.444223Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a630da6a-7062-4469-8aef-9ac544425a1d · outbound

This paper cites Jour- nal of the National Comprehensive Cancer Network19(2), 191–226 (2021).

Learning from Sparse Point Labels for Dense Carcinosis Localization in Advanced Ovarian Cancer Assessment Jour- nal of the National Comprehensive Cancer Network19(2), 191–226 (2021)

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:03:51.171427Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 3915e791-2963-4ae0-a6e1-ea5426724f77 · outbound

This paper cites In: Medical Image Computing and Computer-Assisted Intervention–MICCAI 2008: 11th International Confer- ence, New York, NY, USA, September 6-10, 2008, Proceedings, Part II 11.

Learning from Sparse Point Labels for Dense Carcinosis Localization in Advanced Ovarian Cancer Assessment In: Medical Image Computing and Computer-Assisted Intervention–MICCAI 2008: 11th International Confer- ence, New York, NY, USA, September 6-10, 2008, Proceedings, Part II 11

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:03:50.808679Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 33523ad1-7c53-4ca3-8dd0-e26bc0062d9c · outbound

This paper cites In: CVPR (2020).

Learning from Sparse Point Labels for Dense Carcinosis Localization in Advanced Ovarian Cancer Assessment In: CVPR (2020)

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-06T19:03:41.769766Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 841a3862-c653-4f8f-bb11-a8958bf62040 · outbound

This paper cites In: Proceedings of the IEEE conference on computer vision and pattern recognition.

Learning from Sparse Point Labels for Dense Carcinosis Localization in Advanced Ovarian Cancer Assessment In: Proceedings of the IEEE conference on computer vision and pattern recognition

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-06T19:03:41.886824Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ba55919e-d344-40b4-9cc2-e45d483f8cfa · outbound

This paper cites Zarin et al.

Learning from Sparse Point Labels for Dense Carcinosis Localization in Advanced Ovarian Cancer Assessment Zarin et al

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:03:50.467390Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 4d4b80d7-c6ba-4f80-b45d-a708fbf632b1 · outbound

This paper cites Acta obstetricia et gy- necologica Scandinavica 90(10), 1126–1131 (2011).

Learning from Sparse Point Labels for Dense Carcinosis Localization in Advanced Ovarian Cancer Assessment Acta obstetricia et gy- necologica Scandinavica 90(10), 1126–1131 (2011)

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:03:50.189510Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation b969d99a-66b7-48cb-a4d1-93a1846ac38d · outbound

This paper cites American journal of obstetrics and gynecology209(5), 462–e1 (2013).

Learning from Sparse Point Labels for Dense Carcinosis Localization in Advanced Ovarian Cancer Assessment American journal of obstetrics and gynecology209(5), 462–e1 (2013)

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:03:49.882617Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 66de073d-27df-4a4b-b31c-7403c328bfbb · outbound

This paper cites International Journal of Gynecologic Cancer31(1) (2021).

Learning from Sparse Point Labels for Dense Carcinosis Localization in Advanced Ovarian Cancer Assessment International Journal of Gynecologic Cancer31(1) (2021)

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:03:49.508072Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 17375c39-57bf-4be3-8eec-cbd28743222c · outbound

This paper cites Gynecologic oncology161(1), 56–62 (2021).

Learning from Sparse Point Labels for Dense Carcinosis Localization in Advanced Ovarian Cancer Assessment Gynecologic oncology161(1), 56–62 (2021)

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:03:49.200765Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 5b788c97-9766-4e23-b6f3-962b141b5eda · outbound

This paper cites Computer Methods and Programs in Biomedicine186, 105201 (2020).

Learning from Sparse Point Labels for Dense Carcinosis Localization in Advanced Ovarian Cancer Assessment Computer Methods and Programs in Biomedicine186, 105201 (2020)

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:03:48.870932Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 853e003d-c4a6-4687-b885-7946da66b632 · outbound

This paper cites In: CVPR 2011.

Learning from Sparse Point Labels for Dense Carcinosis Localization in Advanced Ovarian Cancer Assessment In: CVPR 2011

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:03:48.594840Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation c7e500cb-4cd3-44ec-b455-2316ceb242fc · outbound

This paper cites In: European Conference on Computer Vision.

Learning from Sparse Point Labels for Dense Carcinosis Localization in Advanced Ovarian Cancer Assessment In: European Conference on Computer Vision

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:03:48.177262Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 141e2970-3b83-43ce-bac4-2958eb36885a · outbound

This paper cites an unresolved cited work.

Learning from Sparse Point Labels for Dense Carcinosis Localization in Advanced Ovarian Cancer Assessment Unresolved cited work

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-06T19:03:43.032581Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1e6378ec-10ec-4bf3-9469-fb9b0262538f · outbound

This paper cites an unresolved cited work.

Learning from Sparse Point Labels for Dense Carcinosis Localization in Advanced Ovarian Cancer Assessment Unresolved cited work

Reference 15

Resolution: unresolved; raw_fallback, observed 2026-08-06T19:03:47.777264Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 3cf4662f-48da-4776-ada5-da418e371702 · outbound

This paper cites Medical Image Analysis78, 102433 (2022).

Learning from Sparse Point Labels for Dense Carcinosis Localization in Advanced Ovarian Cancer Assessment Medical Image Analysis78, 102433 (2022)

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-06T19:03:43.244861Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 21ca7f1b-fd0d-4457-8462-75b8e67f6580 · outbound

This paper cites In: International conference on medical image computing and computer-assisted intervention.

Learning from Sparse Point Labels for Dense Carcinosis Localization in Advanced Ovarian Cancer Assessment In: International conference on medical image computing and computer-assisted intervention

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:03:47.472278Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 41da013e-5856-47ae-abe7-5c572767b87e · outbound

This paper cites In: International conference on machine learning.

Learning from Sparse Point Labels for Dense Carcinosis Localization in Advanced Ovarian Cancer Assessment In: International conference on machine learning

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-06T19:03:43.553858Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2dbb45d1-1d54-439f-a7a1-2ea3a317ccd9 · outbound

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

Learning from Sparse Point Labels for Dense Carcinosis Localization in Advanced Ovarian Cancer Assessment In: Proceedings of the IEEE/CVF International Conference on Computer Vision

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:03:47.230656Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 873425d3-a119-4bfa-b028-3ce6e01c21e5 · outbound

This paper cites CA: a cancer journal for clinicians 68(1), 7–30 (2018).

Learning from Sparse Point Labels for Dense Carcinosis Localization in Advanced Ovarian Cancer Assessment CA: a cancer journal for clinicians 68(1), 7–30 (2018)

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:03:46.928370Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 0e017787-1555-4f9c-89eb-f355f68c2421 · outbound

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

Learning from Sparse Point Labels for Dense Carcinosis Localization in Advanced Ovarian Cancer Assessment In: Proceedings of the IEEE conference on Computer Vision and Pattern Recognition

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:03:46.620889Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation c68f32b3-3843-4980-99d4-276ff460000f · outbound

This paper cites IEEE transactions on neural networks and learning systems 34(11), 8135–8153 (2022).

Learning from Sparse Point Labels for Dense Carcinosis Localization in Advanced Ovarian Cancer Assessment IEEE transactions on neural networks and learning systems 34(11), 8135–8153 (2022)

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:03:46.339050Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation ef9bf4ac-3129-4de5-b9a5-50cc9295bfe2 · outbound

This paper cites Seminars in Oncology Nursing 35(2), 151–156 (2019).

Learning from Sparse Point Labels for Dense Carcinosis Localization in Advanced Ovarian Cancer Assessment Seminars in Oncology Nursing 35(2), 151–156 (2019)

Reference 23

Resolution: verified exact; doi, observed 2026-08-06T19:03:45.168498Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation d882bbe5-5da4-4cdc-bf7d-695793b9fc33 · outbound

This paper cites Deep High-Resolution Representation Learning for Human Pose Estimation.

Learning from Sparse Point Labels for Dense Carcinosis Localization in Advanced Ovarian Cancer Assessment Deep High-Resolution Representation Learning for Human Pose Estimation

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-06T19:03:44.262422Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 59fcb5f5-df7b-4a91-958c-15011888829d · outbound

This paper cites IEEE Transactions on Image Process- ing 31, 623–635 (2022).

Learning from Sparse Point Labels for Dense Carcinosis Localization in Advanced Ovarian Cancer Assessment IEEE Transactions on Image Process- ing 31, 623–635 (2022)

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-06T19:03:44.420166Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0b0a6583-9791-4fa8-b287-891516512916 · outbound

This paper cites an unresolved cited work.

Learning from Sparse Point Labels for Dense Carcinosis Localization in Advanced Ovarian Cancer Assessment Unresolved cited work

Reference 26

Resolution: unresolved; raw_fallback, observed 2026-08-06T19:03:46.052922Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 292ca46c-d452-44d7-a74f-e198764b2d3d · outbound

This paper cites In: Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd International Conference, Shenzhen, China, Oc- tober 13–17, 2019, Proceedings, Part VI 22.

Learning from Sparse Point Labels for Dense Carcinosis Localization in Advanced Ovarian Cancer Assessment In: Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd International Conference, Shenzhen, China, Oc- tober 13–17, 2019, Proceedings, Part VI 22

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:03:45.734759Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Pith citing papers

No inbound Pith citation observations are available.