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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 2026-08-15T06:32:42.880941+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=sha256:2f815311fe4b1ab983f73d6487ed29a9dedf6b4f8b4a702574b2d85307445ce9

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:b5784b2db750d977033cc92796de6a6092b367faa0b1382b26cd5ccbd2240bb4

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=sha256:6a4a2279f8a591034992aaf5ce7b035390dcf87fd21bba89bd38c850d322735b

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=sha256:173e59063a6f2f7683ef72971c63266a1097b5f7e84984fe29439c0443e168be

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-15T21:55:33.868643Z digest=sha256:4104f7b108a31e20e437ddfbe0a434e28680e437c41a70dbd4d88ebddd3d0744

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:aac07d0d8d8b5b998de6b22a8c84d6adb372a6c486c44eae46a427df163ff3a9

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-15T21:55:33.874668Z digest=sha256:f94ed347c3723eac1806a42d664646d39486a095445c32bd502f1db1187cd2ca

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:aff9d68ecf82c6203512e88070cc4096a8cfc6f08ab2bfbb2cf0620430892b18

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-15T21:55:33.880356Z digest=sha256:6f1054c80389b4fe79d13c8675e1ffd3353b59546fd97793e5d54cf8c39c2054

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:dd6554f5b55f70efd573121a09c81c6829f461d875539cc97e4f0bb98ea8c4d6

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-15T21:55:33.886183Z digest=sha256:5463857e01c3b26782c9514490e350ae238a85a56a91061aaf8fa394bd2e8774

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-15T21:55:33.889737Z digest=sha256:3202f7a1fdceeed021efc63e382abe961152bd9814fadc0e46b2eac0108ae668

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=sha256:5877732ff624f75aee31f57f221247e6fa468992559805830eb954aa0f665614

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-15T21:55:33.895806Z digest=sha256:36a004977e6b84cbea777949e71671515d9c027e233f1a1c7bd3aa11fe10d89b

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:c586df75845c6856759233a0ee418c1193833b6602001881fdad8fd1b9729460

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-15T21:55:33.901841Z digest=sha256:f9e21b212117114b219320dcbd47ce4ee55e7b0e71c81ce337cc5c1266d333bd

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=sha256:5a83b5902b3416cdcd21aa1ca46315260c312b94dc6662797fec9871aeac6baf

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=sha256:81726efbc1df9670b7eafc61911f6f91c568594209f851822f5460911b0a3540

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-15T21:55:33.911031Z digest=sha256:eec465d5530b0374b801ecc496f6481fd3fa0e19a06ca2d412e0375733c42fb7

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-15T21:55:33.914398Z digest=sha256:769d19c8df2ce9825c018efd940bd5f695fa08cec0fc58f263e5a6834416981f

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-15T21:55:33.918460Z digest=sha256:e86169516ceec47ff3b380e2bce9212ad292f70ae76fdd02ae44cc49e586329c

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-15T21:55:33.922524Z digest=sha256:0ca9b0bd1c6d344c716f1d0950382c9c3907318e1baa78531301b3039a021ba5

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=sha256:09ca8c4bdd825ca1ce495f7a39bf645e027c16d1caf5f8772006856243bdc7eb

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=sha256:6a2a59e02b733c6a3be316a95d5a30cd5241f2f58891b675d9a0e8da0e480ba8

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=sha256:8c7774e25c5e5263f941368b90e766093933290ffaca128594b5f083da5c2c7a

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=sha256:44634ca9e143798ef780c14e42111a5370f7d3089ec0a9687ef67de1d3659f39