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Paper Citation Record · LEDGER

Parameter-Efficient Adaptation of SAM3 for Prompt-Driven Surgical Concept Segmentation

As of 7 August 2026, this Paper Citation Record lists 30 of 30 outbound references and 0 inbound Pith citation observations for arXiv:2607.23694.

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

pith.paper-citation-record.v1
2607.23694 v1

Coverage vector

measured 30 of 30 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-30T15:42:49.143667Z

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

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Outbound references

Observation 0d2f2859-9df4-4586-828e-54a1e1ba174b · outbound

This paper cites 2018 Robotic Scene Segmentation Challenge.

Parameter-Efficient Adaptation of SAM3 for Prompt-Driven Surgical Concept Segmentation 2018 Robotic Scene Segmentation Challenge

Reference 1

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Observation 1fa0f401-a424-4eb6-af74-215c9690ddbc · outbound

This paper cites In: European conference on computer vision.

Parameter-Efficient Adaptation of SAM3 for Prompt-Driven Surgical Concept Segmentation In: European conference on computer vision

Reference 2

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Observation 01bfeb05-a5b6-4837-855d-0deaf8c06d0e · outbound

This paper cites SAM 3: Segment Anything with Concepts.

Parameter-Efficient Adaptation of SAM3 for Prompt-Driven Surgical Concept Segmentation SAM 3: Segment Anything with Concepts

Reference 3

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Observation 5710fac9-e0fe-47cb-aac4-2c920c187b4b · outbound

This paper cites In: European conference on computer vision.

Parameter-Efficient Adaptation of SAM3 for Prompt-Driven Surgical Concept Segmentation In: European conference on computer vision

Reference 4

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Observation 03ab8a48-2a4d-4dc7-a703-caead0371204 · outbound

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

Parameter-Efficient Adaptation of SAM3 for Prompt-Driven Surgical Concept Segmentation In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition

Reference 5

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Observation 5531fdef-d3a4-44ac-8805-00c1730041af · outbound

This paper cites Nature machine intelligence5(3), 220–235 (2023).

Parameter-Efficient Adaptation of SAM3 for Prompt-Driven Surgical Concept Segmentation Nature machine intelligence5(3), 220–235 (2023)

Reference 6

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Observation 7e6e5fed-bfb2-4604-bc05-dd6451915c3a · outbound

This paper cites arXiv preprint arXiv:2601.10880 (2026).

Parameter-Efficient Adaptation of SAM3 for Prompt-Driven Surgical Concept Segmentation arXiv preprint arXiv:2601.10880 (2026)

Reference 7

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source=pdf_text observed=2026-07-30T15:42:49.004620Z digest=sha256:d6240f2a50f131755f42e75f50d7505c9515e2d68df0e1af0b491d8e4e436aea

Observation 96044169-eaee-476a-b55f-54d7acd775a7 · outbound

This paper cites Medical Image Analysis71, 102053 (2021).

Parameter-Efficient Adaptation of SAM3 for Prompt-Driven Surgical Concept Segmentation Medical Image Analysis71, 102053 (2021)

Reference 8

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Observation d024426b-2616-4297-8eeb-1bcd0ee45f71 · outbound

This paper cites IEEE Transactions on Biomedical Engineering69(3), 1173–1185 (2021).

Parameter-Efficient Adaptation of SAM3 for Prompt-Driven Surgical Concept Segmentation IEEE Transactions on Biomedical Engineering69(3), 1173–1185 (2021)

Reference 9

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source=pdf_text observed=2026-07-30T15:42:49.013438Z digest=sha256:10ee565ccaea90480273a988379e1e3ab4135f9c413894962fac341818190609

Observation dc16df4e-f836-4f5f-8669-1f99c5fbb0a8 · outbound

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

Parameter-Efficient Adaptation of SAM3 for Prompt-Driven Surgical Concept Segmentation In: Proceedings of the IEEE/CVF winter conference on applications of computer vi- sion

Reference 10

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Observation 5b33b222-6955-45f7-90a7-35d303be377c · outbound

This paper cites CholecSeg8k: A Semantic Segmentation Dataset for Laparoscopic Cholecystectomy Based on Cholec80.

Parameter-Efficient Adaptation of SAM3 for Prompt-Driven Surgical Concept Segmentation CholecSeg8k: A Semantic Segmentation Dataset for Laparoscopic Cholecystectomy Based on Cholec80

Reference 11

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Observation d4ec9849-1b27-43f1-a7d4-407bd1e4a0f8 · outbound

This paper cites Iclr1(2), 3 (2022) 10 C.

Parameter-Efficient Adaptation of SAM3 for Prompt-Driven Surgical Concept Segmentation Iclr1(2), 3 (2022) 10 C

Reference 12

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Observation 05b2ee5c-2413-4b5c-a151-e29d2faf2775 · outbound

This paper cites ACM Transactions on Graphics (TOC)37(4), 1–14 (2018).

Parameter-Efficient Adaptation of SAM3 for Prompt-Driven Surgical Concept Segmentation ACM Transactions on Graphics (TOC)37(4), 1–14 (2018)

Reference 13

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Observation 7e08e389-12aa-49c4-9c7d-fd0d36644571 · outbound

This paper cites In: ICASSP 2020-2020 IEEE international conference on acoustics, speech and signal processing (ICASSP).

Parameter-Efficient Adaptation of SAM3 for Prompt-Driven Surgical Concept Segmentation In: ICASSP 2020-2020 IEEE international conference on acoustics, speech and signal processing (ICASSP)

Reference 14

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Observation e1f8c46f-8ce8-4c33-ac47-7c38ef30f8b3 · outbound

This paper cites In: Medical Image Computing and Computer Assisted Inter- vention (MICCAI).

Parameter-Efficient Adaptation of SAM3 for Prompt-Driven Surgical Concept Segmentation In: Medical Image Computing and Computer Assisted Inter- vention (MICCAI)

Reference 15

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Observation 2a3b7115-479a-4e60-b45a-49d1f49960ee · outbound

This paper cites In: Medical Image Computing and Computer-Assisted Intervention (MICCAI).

Parameter-Efficient Adaptation of SAM3 for Prompt-Driven Surgical Concept Segmentation In: Medical Image Computing and Computer-Assisted Intervention (MICCAI)

Reference 16

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Observation f4b26f8d-2455-4bff-8699-823b989cb588 · outbound

This paper cites ACM Trans.

Parameter-Efficient Adaptation of SAM3 for Prompt-Driven Surgical Concept Segmentation ACM Trans

Reference 17

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Observation 541e2d13-b92d-43b0-b8b1-b8d3f4e007dd · outbound

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

Parameter-Efficient Adaptation of SAM3 for Prompt-Driven Surgical Concept Segmentation In: Proceedings of the IEEE/CVF international conference on computer vision

Reference 18

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Observation 813ddab6-f7a6-41d4-bb0d-7559f28752f8 · outbound

This paper cites EndoGSim: Physics-Aware 4D Dynamic Endoscopic Scene Simulations via MLLM-Guided Gaussian Splatting.

Parameter-Efficient Adaptation of SAM3 for Prompt-Driven Surgical Concept Segmentation EndoGSim: Physics-Aware 4D Dynamic Endoscopic Scene Simulations via MLLM-Guided Gaussian Splatting

Reference 19

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Observation 88578dc7-d514-4bc7-872d-e472ec94f2e3 · outbound

This paper cites Nature communications15(1), 654 (2024).

Parameter-Efficient Adaptation of SAM3 for Prompt-Driven Surgical Concept Segmentation Nature communications15(1), 654 (2024)

Reference 20

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Observation 7ec8f99a-d2ee-4c2d-96f2-75ae918c1a99 · outbound

This paper cites MedSAM2: Segment Anything in 3D Medical Images and Videos.

Parameter-Efficient Adaptation of SAM3 for Prompt-Driven Surgical Concept Segmentation MedSAM2: Segment Anything in 3D Medical Images and Videos

Reference 21

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Observation 9a07fe81-585f-4409-9ad0-413fb5646cbc · outbound

This paper cites In: 2016 fourth international confer- ence on 3D vision (3DV).

Parameter-Efficient Adaptation of SAM3 for Prompt-Driven Surgical Concept Segmentation In: 2016 fourth international confer- ence on 3D vision (3DV)

Reference 22

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Observation fdc94f90-af97-4a63-956f-47ac708ac8a6 · outbound

This paper cites In: International conference on machine learning.

Parameter-Efficient Adaptation of SAM3 for Prompt-Driven Surgical Concept Segmentation In: International conference on machine learning

Reference 23

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Observation 279a57a8-b0b9-4cf6-b6aa-d9129b55c49c · outbound

This paper cites In: International Conference on Learning Representations.

Parameter-Efficient Adaptation of SAM3 for Prompt-Driven Surgical Concept Segmentation In: International Conference on Learning Representations

Reference 24

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Observation 4c8681dc-706e-4aae-b025-e5d57d0fabe9 · outbound

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

Parameter-Efficient Adaptation of SAM3 for Prompt-Driven Surgical Concept Segmentation In: International Conference on Medical image computing and computer-assisted intervention

Reference 25

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Observation a546b14c-5c73-48a0-866a-e07958b2f05c · outbound

This paper cites Radiology: Artificial Intelligence 5(5), e230024 (2023).

Parameter-Efficient Adaptation of SAM3 for Prompt-Driven Surgical Concept Segmentation Radiology: Artificial Intelligence 5(5), e230024 (2023)

Reference 26

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Observation 4901a7f4-180e-4aef-82d1-d1ae88d158ac · outbound

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

Parameter-Efficient Adaptation of SAM3 for Prompt-Driven Surgical Concept Segmentation In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition

Reference 27

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Observation 2ffa89b6-ff79-42bb-9ae4-37b9bf98a163 · outbound

This paper cites In: Proceedings of the Computer Vision and Pattern Recognition (CVPR).

Parameter-Efficient Adaptation of SAM3 for Prompt-Driven Surgical Concept Segmentation In: Proceedings of the Computer Vision and Pattern Recognition (CVPR)

Reference 28

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Observation 08f4bf86-c8f2-4b48-aa95-955e567edd72 · outbound

This paper cites Medical Image Analysis105, 103644 (2025).

Parameter-Efficient Adaptation of SAM3 for Prompt-Driven Surgical Concept Segmentation Medical Image Analysis105, 103644 (2025)

Reference 29

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Observation d3b75753-d804-450d-8b7a-0a459c053399 · outbound

This paper cites Medical SAM 2: Segment medical images as video via Segment Anything Model 2.

Parameter-Efficient Adaptation of SAM3 for Prompt-Driven Surgical Concept Segmentation Medical SAM 2: Segment medical images as video via Segment Anything Model 2

Reference 30

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