Paper Citation Record · LEDGER

Segment Anything in Pathology Images with Natural Language

As of 13 August 2026, this Paper Citation Record lists 82 of 82 outbound references and 3 inbound Pith citation observations for arXiv:2506.20988.

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

pith.paper-citation-record.v1
2506.20988 v2

Coverage vector

measured 82 of 82 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T22:42:11.977337Z

measured 85 of 85 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T14:55:44.687122Z

measured 1 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T02:28:24.338817Z

Reference resolution

82 of 82 outbound references displayed

verified exact0
verified fuzzy62
unresolved19
parse uncertain0
malformed identifier1
metadata mismatch0

External citation measurements

1
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation 3e272571-cafe-49cf-967b-a4b62f1c7d47 · outbound

This paper cites IEEE Reviews in Biomedical Engineering 7, 97–114 (2013).

Segment Anything in Pathology Images with Natural Language IEEE Reviews in Biomedical Engineering 7, 97–114 (2013)

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-06T22:42:11.554955Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c06facbb-f7d8-4f82-bf2c-9ad2b667de7a · outbound

This paper cites : Recent advances of deep learning for computational histopathology: principles and applications.

Segment Anything in Pathology Images with Natural Language : Recent advances of deep learning for computational histopathology: principles and applications

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-06T22:42:11.560714Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 51e384c0-b720-4f61-92ac-4b67513b3c60 · outbound

This paper cites IEEE Reviews in Biomedical Engineering 9, 234–263 (2016).

Segment Anything in Pathology Images with Natural Language IEEE Reviews in Biomedical Engineering 9, 234–263 (2016)

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:42:13.298860Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation ba3cc987-1b4f-43ac-95b5-34fe2b8c7016 · outbound

This paper cites Medical Image Analysis 36, 135–146 (2017).

Segment Anything in Pathology Images with Natural Language Medical Image Analysis 36, 135–146 (2017)

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:42:13.284084Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 9c1094c4-55b3-4331-8c3e-157d18635372 · outbound

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

Segment Anything in Pathology Images with Natural Language In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:42:13.269382Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 8c1c535a-8f1c-4797-acc9-92911473e70a · outbound

This paper cites Medical Image Analysis 89, 102933 (2023).

Segment Anything in Pathology Images with Natural Language Medical Image Analysis 89, 102933 (2023)

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:42:13.253888Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 39d02178-a5d4-4038-b545-ff88cea27961 · outbound

This paper cites IEEE Transactions on Medical Imaging 43(6), 2137–2147 (2024).

Segment Anything in Pathology Images with Natural Language IEEE Transactions on Medical Imaging 43(6), 2137–2147 (2024)

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:42:13.236820Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 4762d9d9-30b5-483b-be5f-6d04da08f68f · outbound

This paper cites Medical Image Analysis 58, 101563 (2019).

Segment Anything in Pathology Images with Natural Language Medical Image Analysis 58, 101563 (2019)

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:42:13.220704Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation beaeac86-1432-444f-8970-954b5da53d07 · outbound

This paper cites Nature Methods 18(2), 203–211 (2021).

Segment Anything in Pathology Images with Natural Language Nature Methods 18(2), 203–211 (2021)

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:42:13.204828Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 7a331717-6bcb-4fdf-85f5-6838d397a476 · outbound

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

Segment Anything in Pathology Images with Natural Language In: International Conference on Medical Image Computing and Computer-Assisted Intervention, pp

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:42:13.188619Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation be833972-0b25-4728-a59c-a84e75506957 · outbound

This paper cites Medical Image Analysis 94, 103143 (2024).

Segment Anything in Pathology Images with Natural Language Medical Image Analysis 94, 103143 (2024)

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:42:13.172660Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation b65a6954-1369-4dda-9505-db78344d2270 · outbound

This paper cites CellViT++: Energy-Efficient and Adaptive Cell Segmentation and Classification Using Foundation Models.

Segment Anything in Pathology Images with Natural Language CellViT++: Energy-Efficient and Adaptive Cell Segmentation and Classification Using Foundation Models

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-06T22:42:11.609780Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8cbc5748-4f0c-45ad-a325-701e680ea874 · outbound

This paper cites : Segment anything.

Segment Anything in Pathology Images with Natural Language : Segment anything

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-06T22:42:11.616064Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 460586c5-585b-4274-889d-7b15ca37ec5b · outbound

This paper cites Advances in Neural Information Processing Systems 36, 29914– 29934 (2023).

Segment Anything in Pathology Images with Natural Language Advances in Neural Information Processing Systems 36, 29914– 29934 (2023)

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:42:13.147695Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 2f29c231-e385-454a-a77c-1b8e8d916e34 · outbound

This paper cites In: European Conference on Computer Vision, pp.

Segment Anything in Pathology Images with Natural Language In: European Conference on Computer Vision, pp

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:42:13.133000Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 91766549-d03c-4ce6-a750-12aa83ae794d · outbound

This paper cites Advances in Neural Information Processing Systems 36 (2024).

Segment Anything in Pathology Images with Natural Language Advances in Neural Information Processing Systems 36 (2024)

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:42:13.118235Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation e331bf4f-2d3d-4ca1-a5c9-b9f89d57275d · outbound

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

Segment Anything in Pathology Images with Natural Language Medical Image Analysis 89, 102918 (2023)

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-06T22:42:11.635430Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 63cb475b-09c8-43d3-b028-0f2bba67daa1 · outbound

This paper cites Computers in Biology and Medicine, 108238 (2024).

Segment Anything in Pathology Images with Natural Language Computers in Biology and Medicine, 108238 (2024)

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:42:13.091222Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 06437d0a-3038-443c-8b77-2300d4541579 · outbound

This paper cites Nature Communications 15(1), 654 (2024).

Segment Anything in Pathology Images with Natural Language Nature Communications 15(1), 654 (2024)

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-06T22:42:11.645550Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 93a986bf-4729-4003-8679-e0ddc71f477c · outbound

This paper cites SAM-Med2D.

Segment Anything in Pathology Images with Natural Language SAM-Med2D

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-06T22:42:11.650049Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b9f368f7-fe2f-4b88-b07a-a90ad432328c · outbound

This paper cites Nature Methods 22(1), 166–176 (2025).

Segment Anything in Pathology Images with Natural Language Nature Methods 22(1), 166–176 (2025)

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:42:13.062914Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 7209b179-61b3-4916-b4b8-a72ef00f2110 · outbound

This paper cites Nature Methods, 1–13 (2025) 37.

Segment Anything in Pathology Images with Natural Language Nature Methods, 1–13 (2025) 37

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:42:13.045460Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 75e1a319-350b-407a-b5ac-e460df0dd192 · outbound

This paper cites Advances in Neural Information Processing Systems 37, 110746–110783 (2024).

Segment Anything in Pathology Images with Natural Language Advances in Neural Information Processing Systems 37, 110746–110783 (2024)

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-06T22:42:11.664543Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 11b2af48-e9de-44c7-bdb7-a9070c5a2ad8 · outbound

This paper cites Large-Vocabulary Segmentation for Medical Images with Text Prompts.

Segment Anything in Pathology Images with Natural Language Large-Vocabulary Segmentation for Medical Images with Text Prompts

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-06T22:42:11.669212Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 647d97dd-5b17-46cb-b009-6391d6f9b0bc · outbound

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

Segment Anything in Pathology Images with Natural Language In: International Conference on Medical Image Computing and Computer-Assisted Intervention, pp

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:42:13.016261Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation ad4219cd-d8a9-4229-b3cb-2ac6d9d77ed4 · outbound

This paper cites Nature Medicine 30(10), 2924–2935 (2024).

Segment Anything in Pathology Images with Natural Language Nature Medicine 30(10), 2924–2935 (2024)

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:42:12.998214Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation c454d928-d7c7-4c76-9b32-8313f19e04ba · outbound

This paper cites Nature Medicine 30(3), 850–862 (2024).

Segment Anything in Pathology Images with Natural Language Nature Medicine 30(3), 850–862 (2024)

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:42:12.980155Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 9441d314-1124-4c92-a7ba-ecce38405975 · outbound

This paper cites Nature Medicine 30(3), 863–874 (2024).

Segment Anything in Pathology Images with Natural Language Nature Medicine 30(3), 863–874 (2024)

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-06T22:42:11.690347Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4cda2c33-f601-48c1-a6fb-2ee3d9c5a091 · outbound

This paper cites Towards A Generalizable Pathology Foundation Model via Unified Knowledge Distillation.

Segment Anything in Pathology Images with Natural Language Towards A Generalizable Pathology Foundation Model via Unified Knowledge Distillation

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-06T22:42:11.695856Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b1c4825d-c164-4fa2-9e4d-b732dcc0ece3 · outbound

This paper cites A Multimodal Knowledge-enhanced Whole-slide Pathology Foundation Model.

Segment Anything in Pathology Images with Natural Language A Multimodal Knowledge-enhanced Whole-slide Pathology Foundation Model

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-06T22:42:11.701578Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9210164f-104e-4f88-aca6-c1680a290f07 · outbound

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

Segment Anything in Pathology Images with Natural Language IEEE Transactions on Medical Imaging (2024)

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:42:12.952511Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 282c0d0c-9966-4b16-9b5d-1e83f9238401 · outbound

This paper cites In: Proceed- ings of the European Conference on Computer Vision, pp.

Segment Anything in Pathology Images with Natural Language In: Proceed- ings of the European Conference on Computer Vision, pp

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:42:12.936580Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation b0df3e94-662d-45f8-97ff-40131e46f418 · outbound

This paper cites In: Proceed- ings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp.

Segment Anything in Pathology Images with Natural Language In: Proceed- ings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:42:12.922087Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation e4aea518-aeee-4d22-9416-2bcec6872aff · outbound

This paper cites In: International Conference on Machine Learning, pp.

Segment Anything in Pathology Images with Natural Language In: International Conference on Machine Learning, pp

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:42:12.906392Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation ab9dc36a-ece0-4ae6-b2eb-2cebf9f305c9 · outbound

This paper cites Journal of Paleontology 1(3), 179–183 (1927).

Segment Anything in Pathology Images with Natural Language Journal of Paleontology 1(3), 179–183 (1927)

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:42:12.890729Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 4f4276b8-f4c2-4feb-a97a-ad16fb99caec · outbound

This paper cites ACM Computing Surveys 56(4), 1–41 (2023).

Segment Anything in Pathology Images with Natural Language ACM Computing Surveys 56(4), 1–41 (2023)

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:42:12.874056Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation f48e2dcc-18ef-4578-b7f8-25f4d513696b · outbound

This paper cites Medical Image Analysis 79, 102470 (2022).

Segment Anything in Pathology Images with Natural Language Medical Image Analysis 79, 102470 (2022)

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:42:12.857931Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 7eeae1f6-43bc-4acc-a167-5b0d7004050e · outbound

This paper cites Self-eXplainable AI for Medical Image Analysis: A Survey and New Outlooks.

Segment Anything in Pathology Images with Natural Language Self-eXplainable AI for Medical Image Analysis: A Survey and New Outlooks

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-06T22:42:11.749811Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 36b6cb35-4565-4218-9888-2337498ebc97 · outbound

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

Segment Anything in Pathology Images with Natural Language In: International Conference on Medical Image Computing and Computer-Assisted Intervention, pp

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:42:12.841695Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 8ebf3fce-75a9-4f82-a744-304a870972fd · outbound

This paper cites Nature Communications 12(1), 1613 (2021).

Segment Anything in Pathology Images with Natural Language Nature Communications 12(1), 1613 (2021)

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:42:12.825240Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation c4bc08b3-4f06-4e52-ae89-9bb4b4baa2cf · outbound

This paper cites Cell Reports Medicine 5(9) (2024).

Segment Anything in Pathology Images with Natural Language Cell Reports Medicine 5(9) (2024)

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:42:12.808521Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 6e652bb0-a47d-4d3d-9458-073d935eb29b · outbound

This paper cites Nature 490, 61–70 (2012) https://doi.org/10.1038/nature11412.

Segment Anything in Pathology Images with Natural Language Nature 490, 61–70 (2012) https://doi.org/10.1038/nature11412

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-06T22:42:11.770088Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 920725a3-b068-4ae2-ae79-d5c6da860fc3 · outbound

This paper cites In: Pro- ceedings of the International Conference on Intelligent Information Technology, pp.

Segment Anything in Pathology Images with Natural Language In: Pro- ceedings of the International Conference on Intelligent Information Technology, pp

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:42:12.792066Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation f98765c3-7a51-4e5f-b0d5-d157a6b395f4 · outbound

This paper cites In: British Machine Vision Conference 2018, p.

Segment Anything in Pathology Images with Natural Language In: British Machine Vision Conference 2018, p

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:42:12.775211Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation e2a11282-945c-4c59-ac84-6b9874313ec1 · outbound

This paper cites why should i trust you?.

Segment Anything in Pathology Images with Natural Language why should i trust you?

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:42:12.758854Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation c3c47953-84de-4300-bf88-2f97b7b2db20 · outbound

This paper cites Lippincott Williams & Wilkins, Philadel- phia (2001).

Segment Anything in Pathology Images with Natural Language Lippincott Williams & Wilkins, Philadel- phia (2001)

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:42:12.743143Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 1079bdce-bd02-4592-a612-3e5d8aaa7698 · outbound

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

Segment Anything in Pathology Images with Natural Language In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-06T22:42:11.798167Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation edc3f7cc-58fe-4708-ae27-22ad1d17e433 · outbound

This paper cites : Foundation model for cancer imaging biomarkers.

Segment Anything in Pathology Images with Natural Language : Foundation model for cancer imaging biomarkers

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:42:12.716099Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation eb9ec905-8d64-4e86-86b5-279a987c7511 · outbound

This paper cites Nature Machine Intelligence 1(5), 206–215 (2019).

Segment Anything in Pathology Images with Natural Language Nature Machine Intelligence 1(5), 206–215 (2019)

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:42:12.698493Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 97ce081d-3ff9-481e-9ca2-540be8f30dd2 · outbound

This paper cites Medical image analysis 71, 102062 (2021).

Segment Anything in Pathology Images with Natural Language Medical image analysis 71, 102062 (2021)

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:42:12.682086Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 6aa723aa-1419-4362-8097-927c192e5b27 · outbound

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

Segment Anything in Pathology Images with Natural Language In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:42:12.666456Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation c9ee1500-1b11-4d98-a410-52554536bd5d · outbound

This paper cites IEEE Transactions on Medical Imaging (2025).

Segment Anything in Pathology Images with Natural Language IEEE Transactions on Medical Imaging (2025)

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:42:12.650102Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation c347498e-8363-4770-a8d4-0d67893373e1 · outbound

This paper cites Advances in Neural Information Processing Systems 35, 4203–4217 (2022).

Segment Anything in Pathology Images with Natural Language Advances in Neural Information Processing Systems 35, 4203–4217 (2022)

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:42:12.634748Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 001273d2-d7f3-4a08-bd37-d08fac9c90d3 · outbound

This paper cites ACM Transactions on Computing for Healthcare (HEALTH) 3(1), 1–23 (2021).

Segment Anything in Pathology Images with Natural Language ACM Transactions on Computing for Healthcare (HEALTH) 3(1), 1–23 (2021)

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-06T22:42:11.830003Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c35cd01b-7e0a-47ad-b78b-57cf1165b9f9 · outbound

This paper cites Computerized Medical Imaging and Graphics 112, 102337 (2024).

Segment Anything in Pathology Images with Natural Language Computerized Medical Imaging and Graphics 112, 102337 (2024)

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:42:12.608250Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 8175dc54-8811-4d9b-af4e-46f69dee7f68 · outbound

This paper cites In: Interna- tional Conference on Learning Representations (2017).

Segment Anything in Pathology Images with Natural Language In: Interna- tional Conference on Learning Representations (2017)

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:42:12.591391Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 9ecfa0f4-cea4-490e-a648-3502c881278c · outbound

This paper cites Advances in Neural Information Processing Systems, 8024–8035 40.

Segment Anything in Pathology Images with Natural Language Advances in Neural Information Processing Systems, 8024–8035 40

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:42:12.573281Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation b4ca03c8-5ba7-480b-bf77-ce8d731c2d75 · outbound

This paper cites In: International Conference on Machine Learning, pp.

Segment Anything in Pathology Images with Natural Language In: International Conference on Machine Learning, pp

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:42:12.554848Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 10573b18-779d-4bb3-b70a-b5746bc76a8c · outbound

This paper cites Nature Biomedical Engineering 5(6), 555–570 (2021).

Segment Anything in Pathology Images with Natural Language Nature Biomedical Engineering 5(6), 555–570 (2021)

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:42:12.536321Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 637433e5-232f-4cdc-8925-ccdba919f860 · outbound

This paper cites In: Interna- tional Conference on Learning Representations (2015).

Segment Anything in Pathology Images with Natural Language In: Interna- tional Conference on Learning Representations (2015)

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:42:12.520667Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation fc4ea315-974b-458d-9990-eb0c3e879fea · outbound

This paper cites Pathology-Research and Practice 212(7), 583–597 (2016).

Segment Anything in Pathology Images with Natural Language Pathology-Research and Practice 212(7), 583–597 (2016)

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:42:12.504382Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 184181d3-cc3b-47cf-bf6b-702cd9245df6 · outbound

This paper cites In: 2016 Fourth International Conference on 3D Vision (3DV), pp.

Segment Anything in Pathology Images with Natural Language In: 2016 Fourth International Conference on 3D Vision (3DV), pp

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:42:12.489136Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 180a7671-a907-4f69-a92e-169d24b8ce4d · outbound

This paper cites In: Proceedings of the IEEE International Conference on Computer Vision, pp.

Segment Anything in Pathology Images with Natural Language In: Proceedings of the IEEE International Conference on Computer Vision, pp

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-06T22:42:11.873848Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b1f4c389-4dc0-4102-be8a-0a0e4d46937f · outbound

This paper cites Bioinformatics 35(18), 3461–3467 (2019).

Segment Anything in Pathology Images with Natural Language Bioinformatics 35(18), 3461–3467 (2019)

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:42:12.462509Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 4f715b5e-fb35-46f6-9379-98d47ced17e8 · outbound

This paper cites Biomedical Signal Processing and Control 66, 102402 (2021).

Segment Anything in Pathology Images with Natural Language Biomedical Signal Processing and Control 66, 102402 (2021)

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:42:12.446523Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation f79ddcc7-c4fb-4173-bd15-f6d4c629b666 · outbound

This paper cites : Conic challenge: Pushing the frontiers of nuclear detection, segmentation, classification and counting.

Segment Anything in Pathology Images with Natural Language : Conic challenge: Pushing the frontiers of nuclear detection, segmentation, classification and counting

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:42:12.431908Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 902066e1-2bbf-4643-b280-3fee56130f10 · outbound

This paper cites Medical Image Analysis 52, 199–211 (2019).

Segment Anything in Pathology Images with Natural Language Medical Image Analysis 52, 199–211 (2019)

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:42:12.417194Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 8de3dac5-96a2-4e90-9eb3-df046f9168ab · outbound

This paper cites : Digestpath: A benchmark dataset with challenge review for the pathological detection and segmentation of digestive-system.

Segment Anything in Pathology Images with Natural Language : Digestpath: A benchmark dataset with challenge review for the pathological detection and segmentation of digestive-system

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:42:12.401924Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 4f13ca57-b120-40d3-af6f-df5d170731f1 · outbound

This paper cites Medical Image Analysis 35, 489–502 (2017).

Segment Anything in Pathology Images with Natural Language Medical Image Analysis 35, 489–502 (2017)

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:42:12.386036Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 1f2ede28-fa86-4cac-84dd-d8423d1aaecc · outbound

This paper cites Journal of Pathology Informatics 7(1), 29 (2016).

Segment Anything in Pathology Images with Natural Language Journal of Pathology Informatics 7(1), 29 (2016)

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:42:12.369561Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 062da7ce-d544-495f-b0ac-51fdbb5adb10 · outbound

This paper cites : Domain gener- alization across tumor types, laboratories, and species—insights from the 2022 edition of the mitosis domain generalization challenge.

Segment Anything in Pathology Images with Natural Language : Domain gener- alization across tumor types, laboratories, and species—insights from the 2022 edition of the mitosis domain generalization challenge

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:42:12.350573Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 0dca6979-1ce2-4efe-8a80-6e57a889ccae · outbound

This paper cites IEEE Transactions on Medical Imaging 40(12), 3413–3423 (2021).

Segment Anything in Pathology Images with Natural Language IEEE Transactions on Medical Imaging 40(12), 3413–3423 (2021)

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:42:12.328224Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 35cc826d-ff32-4414-9360-da75c6e751e6 · outbound

This paper cites : Nucls: A scalable crowdsourcing approach and dataset for nucleus classification and segmentation in breast cancer.

Segment Anything in Pathology Images with Natural Language : Nucls: A scalable crowdsourcing approach and dataset for nucleus classification and segmentation in breast cancer

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:42:12.309052Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation ec8df0bd-f2e2-495d-9556-37c6b95d44a1 · outbound

This paper cites In: Digital Pathology: 15th European Congress, ECDP 2019, Warwick, UK, April 10–13, 2019, Proceedings 15, pp.

Segment Anything in Pathology Images with Natural Language In: Digital Pathology: 15th European Congress, ECDP 2019, Warwick, UK, April 10–13, 2019, Proceedings 15, pp

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:42:12.288639Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 4698125c-79ec-44fd-a216-414431e2e596 · outbound

This paper cites Artificial Intelligence in Medicine 115, 102076 (2021).

Segment Anything in Pathology Images with Natural Language Artificial Intelligence in Medicine 115, 102076 (2021)

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:42:12.270668Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 6531e10a-c46e-4bb6-8281-b43633beea62 · outbound

This paper cites Patterns 4(2) (2023).

Segment Anything in Pathology Images with Natural Language Patterns 4(2) (2023)

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:42:12.253105Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 20426536-16a4-4161-bb71-5c73cff38f24 · outbound

This paper cites Mendeley Data (2020).

Segment Anything in Pathology Images with Natural Language Mendeley Data (2020)

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:42:12.235979Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 69390f60-f23a-483a-8560-65d2b9c2ebd2 · outbound

This paper cites IEEE Transactions on Medical Imaging 38(2), 448–459 (2018).

Segment Anything in Pathology Images with Natural Language IEEE Transactions on Medical Imaging 38(2), 448–459 (2018)

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:42:12.218547Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 333e4e97-f182-4d6d-a115-01d06a3756e9 · outbound

This paper cites WSSS4LUAD: Grand Challenge on Weakly-supervised Tissue Semantic Segmentation for Lung Adenocarcinoma.

Segment Anything in Pathology Images with Natural Language WSSS4LUAD: Grand Challenge on Weakly-supervised Tissue Semantic Segmentation for Lung Adenocarcinoma

Reference 79

Resolution: unresolved; no resolver link, observed 2026-08-06T22:42:11.960256Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 35eb2f7a-957c-4672-a238-9bcbb02fde89 · outbound

This paper cites : Methods for seg- mentation and classification of digital microscopy tissue images.

Segment Anything in Pathology Images with Natural Language : Methods for seg- mentation and classification of digital microscopy tissue images

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:42:12.199416Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 4d321c92-4ba6-42ce-9d60-cafb48eb36d1 · outbound

This paper cites IEEE Transactions on Medical Imaging 39(12), 4124–4136 (2020).

Segment Anything in Pathology Images with Natural Language IEEE Transactions on Medical Imaging 39(12), 4124–4136 (2020)

Reference 81

Resolution: unresolved; no resolver link, observed 2026-08-06T22:42:11.971753Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 00959ccc-732e-48df-9f46-244e509af10d · outbound

This paper cites [histological structure]-level [object type] in [anatomicalregion] pathology.

Segment Anything in Pathology Images with Natural Language [histological structure]-level [object type] in [anatomicalregion] pathology

Reference 82

Resolution: malformed identifier; raw_fallback, observed 2026-08-06T22:42:12.169781Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Pith citing papers

Observation 634db98f-e6fd-4c35-ab77-2dd33256a934 · inbound

A Versatile Pathology Co-pilot via Reasoning Enhanced Multimodal Large Language Model cites this paper.

A Versatile Pathology Co-pilot via Reasoning Enhanced Multimodal Large Language Model Segment Anything in Pathology Images with Natural Language

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-06T14:55:44.687122Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5139590a-a025-4184-bb99-0701ae772204 · inbound

Solutions for Mitotic Figure Detection and Atypical Classification in MIDOG 2025 cites this paper.

Solutions for Mitotic Figure Detection and Atypical Classification in MIDOG 2025 Segment Anything in Pathology Images with Natural Language

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-05T14:04:46.237835Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 01fc40e0-3cfb-4913-8c48-0a705def533f · inbound

Universal and Transferable Attacks on Pathology Foundation Models cites this paper.

Universal and Transferable Attacks on Pathology Foundation Models Segment Anything in Pathology Images with Natural Language

Reference 43

Resolution: verified exact; local_arxiv, observed 2026-08-04T09:19:41.064556Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.