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Paper Citation Record · LEDGER

ReSurgSAM2: Referring Segment Anything in Surgical Video via Credible Long-term Tracking

As of 16 August 2026, this Paper Citation Record lists 25 of 25 outbound references and 1 inbound Pith citation observation for arXiv:2505.08581.

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

pith.paper-citation-record.v1
2505.08581 v1

Coverage vector

measured 25 of 25 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T21:55:33.932119Z

measured 26 of 26 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T21:12:05.507774Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

25 of 25 outbound references displayed

  • verified exact0
  • verified fuzzy10
  • unresolved15
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 571aab0e-65fa-435b-b785-9b4cd7c01993 · outbound

This paper cites 2018 Robotic Scene Segmentation Challenge.

ReSurgSAM2: Referring Segment Anything in Surgical Video via Credible Long-term Tracking 2018 Robotic Scene Segmentation Challenge

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-15T21:55:33.855352Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:55:33.855352Z digest=sha256:13b27646d83174140deb4bb730b44b07d46015193cd94d0721f50fa629b6e345

Observation b7a97220-dce9-4a8d-8618-e17c41c87c32 · outbound

This paper cites 2017 Robotic Instrument Segmentation Challenge.

ReSurgSAM2: Referring Segment Anything in Surgical Video via Credible Long-term Tracking 2017 Robotic Instrument Segmentation Challenge

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-15T21:55:33.859458Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:55:33.859458Z digest=sha256:10efe425429350e9387afa01de4d93e697d0dff76d3502050b462a6fdbcf13e7

Observation 56a71c8e-6ca6-49e5-baea-48b64b72f8a2 · outbound

This paper cites SAMWISE: Infusing Wisdom in SAM2 for Text-Driven Video Segmentation.

ReSurgSAM2: Referring Segment Anything in Surgical Video via Credible Long-term Tracking SAMWISE: Infusing Wisdom in SAM2 for Text-Driven Video Segmentation

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-15T21:55:33.862576Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:55:33.862576Z digest=sha256:1c32504b2eb14361e91e4da9b206599fcb188199f8baa18f5ab43a21bb823571

Observation 3cc1cfbc-dca7-402d-8462-ae60cb0bf09e · outbound

This paper cites Mamba: Linear-Time Sequence Modeling with Selective State Spaces.

ReSurgSAM2: Referring Segment Anything in Surgical Video via Credible Long-term Tracking Mamba: Linear-Time Sequence Modeling with Selective State Spaces

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-15T21:55:33.865561Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:55:33.865561Z digest=sha256:588ebc42e43fe1e9429aa12588ce2f25ec95a219ac1fd1392e2a476c16f5b192

Observation 863c1639-e2d6-4022-861a-810a75a49b37 · outbound

This paper cites In: Computer Vision–ACCV 2018: 14th Asian Conference on Computer Vision, Perth, Australia, December 2–6, 2018, Revised Selected Papers, Part IV 14.

ReSurgSAM2: Referring Segment Anything in Surgical Video via Credible Long-term Tracking In: Computer Vision–ACCV 2018: 14th Asian Conference on Computer Vision, Perth, Australia, December 2–6, 2018, Revised Selected Papers, Part IV 14

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:55:34.148685Z

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.

source=pdf_text observed=2026-08-15T21:55:33.868643Z digest=sha256:22d29040288ac9f5cdcb63f7e6531e8a83c69ee616ef14b21824a9df8ac082b5

Observation eb336cd0-88e1-4b9b-82c4-e19f384699ed · outbound

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

ReSurgSAM2: Referring Segment Anything in Surgical Video via Credible Long-term Tracking In: Proceedings of the IEEE/CVF International Conference on Computer Vision

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-15T21:55:33.871672Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:55:33.871672Z digest=sha256:fbd9afd74a832df9591ac83dcfe8af1972841d29282622a8f4d3fc503a80fb04

Observation c8530037-bc6e-4c5b-80eb-463288fcdbd5 · outbound

This paper cites Surgery170(1), 88–98 (2021).

ReSurgSAM2: Referring Segment Anything in Surgical Video via Credible Long-term Tracking Surgery170(1), 88–98 (2021)

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:55:34.134149Z

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.

source=pdf_text observed=2026-08-15T21:55:33.874668Z digest=sha256:d7710dfd2e36ee6f0e0145dac4bf3956a487184399ff98c1bdda27121f1d60f2

Observation 6ad8c605-6b9d-4140-acd6-b91db316981b · outbound

This paper cites RefSAM: Efficiently Adapting Segmenting Anything Model for Referring Video Object Segmentation.

ReSurgSAM2: Referring Segment Anything in Surgical Video via Credible Long-term Tracking RefSAM: Efficiently Adapting Segmenting Anything Model for Referring Video Object Segmentation

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-15T21:55:33.877386Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:55:33.877386Z digest=sha256:a44fa696ab77120f704c6c83e155878e063c2d8159c8de7a2b5406d2847183e2

Observation c334e76c-697b-4001-97ee-e5e4738877e7 · outbound

This paper cites In: Advancements In Medical Foundation Models: Explainability, Robustness, Security, and Beyond (2024).

ReSurgSAM2: Referring Segment Anything in Surgical Video via Credible Long-term Tracking In: Advancements In Medical Foundation Models: Explainability, Robustness, Security, and Beyond (2024)

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:55:34.125127Z

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.

source=pdf_text observed=2026-08-15T21:55:33.880356Z digest=sha256:dcab14117264418ba2ec09d64a7366006ea0b49eae65f55773df926a9657bd02

Observation 91725b97-3224-4842-9e5a-e32e17d04ba7 · outbound

This paper cites In: European Conference on Computer Vision.

ReSurgSAM2: Referring Segment Anything in Surgical Video via Credible Long-term Tracking In: European Conference on Computer Vision

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-15T21:55:33.883402Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:55:33.883402Z digest=sha256:adc203f743ac30670b8516b8073a1f17cf45396d6d8db1b192b786c68f206d60

Observation 1788807a-3b98-487f-9834-1b58180ad739 · outbound

This paper cites International Journal of Surgery 95, 106151 (2021).

ReSurgSAM2: Referring Segment Anything in Surgical Video via Credible Long-term Tracking International Journal of Surgery 95, 106151 (2021)

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:55:34.110979Z

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.

source=pdf_text observed=2026-08-15T21:55:33.886183Z digest=sha256:e84b4f118c385b69260bbbfcf662402152a5eeb2de4e8aac48e898ad6108b451

Observation 776df1d4-a514-479a-b3dd-dec113decc2a · outbound

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

ReSurgSAM2: Referring Segment Anything in Surgical Video via Credible Long-term Tracking In: Proceedings of the IEEE conference on computer vision and pattern recognition

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:55:34.101996Z

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.

source=pdf_text observed=2026-08-15T21:55:33.889737Z digest=sha256:739a3db40c0de9554c764c6c15537663c17db08685f8d8503b5cf694bbcb71e1

Observation a2ac8a7e-5b4d-4249-a2d7-5e99a94b1372 · outbound

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

ReSurgSAM2: Referring Segment Anything in Surgical Video via Credible Long-term Tracking SAM 2: Segment Anything in Images and Videos

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-15T21:55:33.892776Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:55:33.892776Z digest=sha256:fa7909cd38cf7cb236cc9407cc0864560260dd0c02d0853f9fec1e28c158b06e

Observation 54a41add-c409-4f38-8b08-d1193f13a46b · outbound

This paper cites an unresolved cited work.

ReSurgSAM2: Referring Segment Anything in Surgical Video via Credible Long-term Tracking Unresolved cited work

Reference 14

Resolution
unresolved
raw_fallback, observed 2026-08-15T21:55:34.093223Z

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.

source=pdf_text observed=2026-08-15T21:55:33.895806Z digest=sha256:f4f7a08a1cd866cc7ed6dd9f37f9fcbc3925b772c613a2a57a5627cfc1e9e015

Observation 011cdf22-93fd-4657-a1c7-0f6691945da4 · outbound

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

ReSurgSAM2: Referring Segment Anything in Surgical Video via Credible Long-term Tracking In: Proceedings of the IEEE conference on computer vision and pattern recognition

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-15T21:55:33.898874Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:55:33.898874Z digest=sha256:3585253e6524f7f284a1616af40ef7b10459ab8b98ca5b5ea4bc8d6f1ca26d8d

Observation 0c897d2a-2300-4d7f-bd74-fde692859bf2 · outbound

This paper cites Surgical technology international 33 (2019).

ReSurgSAM2: Referring Segment Anything in Surgical Video via Credible Long-term Tracking Surgical technology international 33 (2019)

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:55:34.079471Z

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.

source=pdf_text observed=2026-08-15T21:55:33.901841Z digest=sha256:e7d71b449c5fd4524aefdc3d97ef653194bbc84474b2ee4c55df110c67b5b51c

Observation 65f1dd64-1f03-4192-889b-12d593c36936 · outbound

This paper cites ACM Computing Surveys55(6), 1–28 (2022).

ReSurgSAM2: Referring Segment Anything in Surgical Video via Credible Long-term Tracking ACM Computing Surveys55(6), 1–28 (2022)

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-15T21:55:33.904829Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:55:33.904829Z digest=sha256:35632e947866ef76a0cb158a0f38c0bd6e5223d343f811de3c2353bc8f05b346

Observation 93e6fc24-f281-479e-a2f4-159a6c8eacc6 · outbound

This paper cites Advances in neural information pro- cessing systems 30 (2017).

ReSurgSAM2: Referring Segment Anything in Surgical Video via Credible Long-term Tracking Advances in neural information pro- cessing systems 30 (2017)

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-15T21:55:33.907823Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:55:33.907823Z digest=sha256:f8216eba3a1fc72d4a9840e19cd2da82e0d88fc610045ab875dd1c24c4e79f5f

Observation 496e47a1-90d4-4a9f-a541-9467c0e10038 · outbound

This paper cites IEEE Transactions on Medical Imaging43(12), 4457–4469 (2024).

ReSurgSAM2: Referring Segment Anything in Surgical Video via Credible Long-term Tracking IEEE Transactions on Medical Imaging43(12), 4457–4469 (2024)

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:55:34.059797Z

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.

source=pdf_text observed=2026-08-15T21:55:33.911031Z digest=sha256:d41d19a4a4aef781fffd6e987ddd8c8fab63fbd4d52ebf837a914beabc9712b1

Observation 5777b2fb-c40d-4b5f-a7f6-862befa301c0 · outbound

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

ReSurgSAM2: Referring Segment Anything in Surgical Video via Credible Long-term Tracking In: Proceedings of the IEEE/CVF International Conference on Computer Vision

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:55:34.050062Z

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.

source=pdf_text observed=2026-08-15T21:55:33.914398Z digest=sha256:b84bc3570689931be5b427f0ca70d460ee20617187319c203072109111e7a572

Observation 3902f463-be24-4048-87c1-3ca51c4a20ad · outbound

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

ReSurgSAM2: Referring Segment Anything in Surgical Video via Credible Long-term Tracking In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:55:34.040535Z

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.

source=pdf_text observed=2026-08-15T21:55:33.918460Z digest=sha256:b192e6e583b80cdcc7d09568ddefd56383d7f31c1e4b08bcb2aed6e1fdeee324

Observation e49a1603-0246-4f6d-9db3-e027767281ff · outbound

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

ReSurgSAM2: Referring Segment Anything in Surgical Video via Credible Long-term Tracking In: Proceedings of the AAAI Conference on Artificial Intelligence

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:55:34.030022Z

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.

source=pdf_text observed=2026-08-15T21:55:33.922524Z digest=sha256:472d0a26fc411080be382a57abc7f6e55809af8a5a56c22a4cbd43d1e56d402a

Observation 24a8f4df-54de-426b-9a35-b76909fcbe98 · outbound

This paper cites Vivim: a Video Vision Mamba for Medical Video Segmentation.

ReSurgSAM2: Referring Segment Anything in Surgical Video via Credible Long-term Tracking Vivim: a Video Vision Mamba for Medical Video Segmentation

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-15T21:55:33.925438Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:55:33.925438Z digest=sha256:ba48d671e9fdaa963cf6566d5754967928220a38c5cc12278e1f293e53b824cf

Observation 4f0d7137-b66d-4c8c-ba08-a41aa8f837f1 · outbound

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

ReSurgSAM2: Referring Segment Anything in Surgical Video via Credible Long-term Tracking In: Proceedings of the AAAI Conference on Artificial Intelligence

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-15T21:55:33.929059Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:55:33.929059Z digest=sha256:49a63e300d285f1850413cf1a1576b86fd05d2cb861cd40c620e2da3d7ab467a

Observation 70d285a0-1fcb-47e5-a676-ad6eb390f809 · outbound

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

ReSurgSAM2: Referring Segment Anything in Surgical Video via Credible Long-term Tracking Advances in Neural Infor- mation Processing Systems36, 28611–28623 (2023)

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-15T21:55:33.932119Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:55:33.932119Z digest=sha256:9c886787e01051e9bf1c5b60412e940ab7fba32d217f486c412c19c117c1ff3d

Pith citing papers

Observation 9121928a-c066-43f9-8931-f02add9b1640 · inbound

SurgSLOT: Segment Anything in Surgical Videos via Semantic Long-term Tracking cites this paper.

SurgSLOT: Segment Anything in Surgical Videos via Semantic Long-term Tracking ReSurgSAM2: Referring Segment Anything in Surgical Video via Credible Long-term Tracking

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-03T21:12:05.507774Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T21:12:05.507774Z digest=sha256:b880c71a060b5567974397003c8f706f0116c2b505f8b862cb56f0316b56ac21