Paper Citation Record · LEDGER

Toward Mask Annotation-Free Surgical Instrument Segmentation from Endoscopic Images Using Text-Prompted Segment Anything Model 3 (SAM3)

As of 21 August 2026, this Paper Citation Record lists 30 of 30 outbound references and 0 inbound Pith citation observations for arXiv:2608.08844.

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

pith.paper-citation-record.v1
2608.08844 v1

Coverage vector

measured 30 of 30 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T04:28:10.098544Z

measured 30 of 30 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+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 exact1
verified fuzzy14
unresolved15
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1c459d4c-78b5-41d2-a3f8-d4a485bae07c · outbound

This paper cites Artificial Intelligence Review58(1), 1 (2024).

Toward Mask Annotation-Free Surgical Instrument Segmentation from Endoscopic Images Using Text-Prompted Segment Anything Model 3 (SAM3) Artificial Intelligence Review58(1), 1 (2024)

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:28:10.549176Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 3e351f5a-4a07-4301-8404-e9d8d5d361a9 · outbound

This paper cites 2018 Robotic Scene Segmentation Challenge.

Toward Mask Annotation-Free Surgical Instrument Segmentation from Endoscopic Images Using Text-Prompted Segment Anything Model 3 (SAM3) 2018 Robotic Scene Segmentation Challenge

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-14T04:28:09.993433Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c7e17336-ebba-4a06-bb82-15b9fc4b7ceb · outbound

This paper cites 2017 Robotic Instrument Segmentation Challenge.

Toward Mask Annotation-Free Surgical Instrument Segmentation from Endoscopic Images Using Text-Prompted Segment Anything Model 3 (SAM3) 2017 Robotic Instrument Segmentation Challenge

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-14T04:28:09.997629Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3fff6b24-9251-4f53-ba05-0ab4aa1488af · outbound

This paper cites In: 2023 IEEE 20th Interna- tional Symposium on Biomedical Imaging (ISBI).

Toward Mask Annotation-Free Surgical Instrument Segmentation from Endoscopic Images Using Text-Prompted Segment Anything Model 3 (SAM3) In: 2023 IEEE 20th Interna- tional Symposium on Biomedical Imaging (ISBI)

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-14T04:28:10.001913Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b4d0dee7-b72c-4f02-99e8-369dfacace50 · outbound

This paper cites Medical Image Analysis p.

Toward Mask Annotation-Free Surgical Instrument Segmentation from Endoscopic Images Using Text-Prompted Segment Anything Model 3 (SAM3) Medical Image Analysis p

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:28:10.530238Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation bd057c11-528f-4d92-946b-e0b438d26667 · outbound

This paper cites In: Proceedings of the IEEE/CVF winter conference on applications of computer vision.

Toward Mask Annotation-Free Surgical Instrument Segmentation from Endoscopic Images Using Text-Prompted Segment Anything Model 3 (SAM3) In: Proceedings of the IEEE/CVF winter conference on applications of computer vision

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:28:10.518502Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 5e7e804a-365d-426d-b4d3-fa18858e1a8f · outbound

This paper cites Qwen2.5-VL Technical Report.

Toward Mask Annotation-Free Surgical Instrument Segmentation from Endoscopic Images Using Text-Prompted Segment Anything Model 3 (SAM3) Qwen2.5-VL Technical Report

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-14T04:28:10.013687Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a614a9c2-c52f-4114-a986-724d06b9e274 · outbound

This paper cites SAM 3: Segment Anything with Concepts.

Toward Mask Annotation-Free Surgical Instrument Segmentation from Endoscopic Images Using Text-Prompted Segment Anything Model 3 (SAM3) SAM 3: Segment Anything with Concepts

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-14T04:28:10.017271Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9c4c9b21-918d-4af3-86f9-e9eae4fc6155 · outbound

This paper cites Medical Image Analysis81, 102569 (2022) 14 N.

Toward Mask Annotation-Free Surgical Instrument Segmentation from Endoscopic Images Using Text-Prompted Segment Anything Model 3 (SAM3) Medical Image Analysis81, 102569 (2022) 14 N

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:28:10.506145Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation a02e9876-c406-4b81-97aa-5ba506cdf9ee · outbound

This paper cites an unresolved cited work.

Toward Mask Annotation-Free Surgical Instrument Segmentation from Endoscopic Images Using Text-Prompted Segment Anything Model 3 (SAM3) Unresolved cited work

Reference 10

Resolution: unresolved; raw_fallback, observed 2026-08-14T04:28:10.494504Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation cc85888d-32ab-485b-83f7-d9267b16fe3e · outbound

This paper cites In: Conference proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Toward Mask Annotation-Free Surgical Instrument Segmentation from Endoscopic Images Using Text-Prompted Segment Anything Model 3 (SAM3) In: Conference proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:28:10.483427Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation bc86ecd8-61f1-4788-a1fb-a20cbfd437bd · outbound

This paper cites ICLR1(2), 3 (2022).

Toward Mask Annotation-Free Surgical Instrument Segmentation from Endoscopic Images Using Text-Prompted Segment Anything Model 3 (SAM3) ICLR1(2), 3 (2022)

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-14T04:28:10.031878Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3a4b5e95-8092-4e14-9336-69dcc26f07f3 · outbound

This paper cites arXiv preprint arXiv:2510.08668 (2025).

Toward Mask Annotation-Free Surgical Instrument Segmentation from Endoscopic Images Using Text-Prompted Segment Anything Model 3 (SAM3) arXiv preprint arXiv:2510.08668 (2025)

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-14T04:28:10.035910Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bf81e46b-2965-4d88-b18c-c06c5d1fcb20 · outbound

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

Toward Mask Annotation-Free Surgical Instrument Segmentation from Endoscopic Images Using Text-Prompted Segment Anything Model 3 (SAM3) In: Interna- tional conference on medical image computing and computer-assisted intervention

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:28:10.464740Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 82c63650-15e3-4919-8d4d-c03bdc0ec416 · outbound

This paper cites In: Proceedings of the IEEE/CVF international conference on computer vision.

Toward Mask Annotation-Free Surgical Instrument Segmentation from Endoscopic Images Using Text-Prompted Segment Anything Model 3 (SAM3) In: Proceedings of the IEEE/CVF international conference on computer vision

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:28:10.451190Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 1f069772-af32-4528-8581-84b140cd3f53 · outbound

This paper cites SAMRefiner: Taming Segment Anything Model for Universal Mask Refinement.

Toward Mask Annotation-Free Surgical Instrument Segmentation from Endoscopic Images Using Text-Prompted Segment Anything Model 3 (SAM3) SAMRefiner: Taming Segment Anything Model for Universal Mask Refinement

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-14T04:28:10.046636Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0d8951d6-9e41-42e3-9526-5854db90cccf · outbound

This paper cites In: Medical Imaging 2025: Image Processing.

Toward Mask Annotation-Free Surgical Instrument Segmentation from Endoscopic Images Using Text-Prompted Segment Anything Model 3 (SAM3) In: Medical Imaging 2025: Image Processing

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:28:10.438552Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 84339151-a67a-4fed-8c90-c301b08d7010 · outbound

This paper cites In: Proceedings of the AAAI Conference on Artificial Intelligence.

Toward Mask Annotation-Free Surgical Instrument Segmentation from Endoscopic Images Using Text-Prompted Segment Anything Model 3 (SAM3) In: Proceedings of the AAAI Conference on Artificial Intelligence

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:28:10.426496Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 2ded2037-b8fa-41a2-9c48-e54bb16e2192 · outbound

This paper cites arXiv preprint arXiv:2601.16895 (2026).

Toward Mask Annotation-Free Surgical Instrument Segmentation from Endoscopic Images Using Text-Prompted Segment Anything Model 3 (SAM3) arXiv preprint arXiv:2601.16895 (2026)

Reference 19

Resolution: verified exact; raw_fallback, observed 2026-08-14T04:28:10.214615Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 8c1ab76a-8876-4454-935e-e6a4448b7685 · outbound

This paper cites SAM 2: Segment Anything in Images and Videos.

Toward Mask Annotation-Free Surgical Instrument Segmentation from Endoscopic Images Using Text-Prompted Segment Anything Model 3 (SAM3) SAM 2: Segment Anything in Images and Videos

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-14T04:28:10.060872Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5e29e922-9419-4d3b-bfe1-10e6b02868eb · outbound

This paper cites an unresolved cited work.

Toward Mask Annotation-Free Surgical Instrument Segmentation from Endoscopic Images Using Text-Prompted Segment Anything Model 3 (SAM3) Unresolved cited work

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-14T04:28:10.065070Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a19a227d-9920-4a0f-a918-eef79492686a · outbound

This paper cites In: International Conference on Medical image computing and computer-assisted intervention.

Toward Mask Annotation-Free Surgical Instrument Segmentation from Endoscopic Images Using Text-Prompted Segment Anything Model 3 (SAM3) In: International Conference on Medical image computing and computer-assisted intervention

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:28:10.413648Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 83489b54-f3dd-4ca1-800a-ce348237be5e · outbound

This paper cites International Journal of Computer Assisted Radiology and Surgery19(7), 1267–1271 (2024).

Toward Mask Annotation-Free Surgical Instrument Segmentation from Endoscopic Images Using Text-Prompted Segment Anything Model 3 (SAM3) International Journal of Computer Assisted Radiology and Surgery19(7), 1267–1271 (2024)

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:28:10.401868Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation c9d1df1b-cadd-495a-be15-28c05acfebdc · outbound

This paper cites In: 2018 17th IEEE international conference on machine learning and applications (ICMLA).

Toward Mask Annotation-Free Surgical Instrument Segmentation from Endoscopic Images Using Text-Prompted Segment Anything Model 3 (SAM3) In: 2018 17th IEEE international conference on machine learning and applications (ICMLA)

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-14T04:28:10.075841Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 07c9ef3b-b6c1-4ae6-9516-14de04fa94c9 · outbound

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

Toward Mask Annotation-Free Surgical Instrument Segmentation from Endoscopic Images Using Text-Prompted Segment Anything Model 3 (SAM3) In: International conference on medical image computing and computer-assisted intervention

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:28:10.383957Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 982e6c84-0480-4e90-94f9-6dbad7839064 · outbound

This paper cites In: Proceedings of the AAAI Conference on Artificial Intelligence.

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-14T04:28:10.082782Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a87d97bb-90d8-4852-b8ff-0397e33223f1 · outbound

This paper cites Customized Segment Anything Model for Medical Image Segmentation.

Toward Mask Annotation-Free Surgical Instrument Segmentation from Endoscopic Images Using Text-Prompted Segment Anything Model 3 (SAM3) Customized Segment Anything Model for Medical Image Segmentation

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-14T04:28:10.085985Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3ec808e7-875c-4e5d-87ca-f793b5e96ed3 · outbound

This paper cites Jour- nal of Imaging11(10), 364 (2025).

Toward Mask Annotation-Free Surgical Instrument Segmentation from Endoscopic Images Using Text-Prompted Segment Anything Model 3 (SAM3) Jour- nal of Imaging11(10), 364 (2025)

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:28:10.365540Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation bd39a347-856d-4c78-a087-2ade491724f3 · outbound

This paper cites In: 2022 International conference on robotics and automation (ICRA).

Toward Mask Annotation-Free Surgical Instrument Segmentation from Endoscopic Images Using Text-Prompted Segment Anything Model 3 (SAM3) In: 2022 International conference on robotics and automation (ICRA)

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:28:10.354732Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 08b95ff2-8407-4239-aed7-510e1eb65b9a · outbound

This paper cites Advances in Neural Infor- mation Processing Systems36, 28611–28623 (2023).

Toward Mask Annotation-Free Surgical Instrument Segmentation from Endoscopic Images Using Text-Prompted Segment Anything Model 3 (SAM3) Advances in Neural Infor- mation Processing Systems36, 28611–28623 (2023)

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-14T04:28:10.098544Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.