Pith. sign in

Paper Citation Record · LEDGER

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

As of 20 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 2026-08-20T06:33:59.587034+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:a04b691a595e28cc80799f5587898b7e07795e643ebb0f2e646a260a767b10b9

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:a54d8a03e6956849a791da28bbcbf4d8d9a2c3d9c4500cf257d18da0d1b22352

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=sha256:4a760de284be53fa317e27839b4b4d0bc25c2f95f33d301bc28f9b8286c1974f

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=sha256:32d1a1f20e4e79928417c8a00355a4ee3dbb0a18105ff62a986eba1616a3f0c2

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T21:55:33.868643Z digest=sha256:9da6d7e8220662256df0115b9153c54b616ec9e3254f8dee374de0bff1ba5309

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=sha256:346bc254547231aeab7d18a72bf95d3caf2d444c051fac4bfe04cdbb1e506d65

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T21:55:33.874668Z digest=sha256:cb038bd50d7db00a4c6af55e59e99f45fe865ec83dc44f102853f54ea1d22b50

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=sha256:89993fc2855fae74d5f38ffd12746b431728a81cbee5e6512a3d719248d23f4d

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T21:55:33.880356Z digest=sha256:58dae89139cde045ae3c2bb36601cc66854c139cf77404ef4fb3feebb0af60f8

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=sha256:03060873aa782e14bc3597c9de30a6d90786edcf3e6792a79e6441a2d08643eb

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T21:55:33.886183Z digest=sha256:bb1d8cd1f8d971120751d374985ea5443bf3c391c31c368ed9716602d6567684

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T21:55:33.889737Z digest=sha256:b661dab017e9c633790ac562a4bfdf61796211f49a9e7c4765dd3e38683dfa41

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=sha256:6d204dc4099ae9701a10e75b87edec6ff6a294d8535885a281a8e559ae00a23f

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T21:55:33.895806Z digest=sha256:497a0557557769c300a506caeafa76b3dab108dd633ed63a03c6e13f868a45cf

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=sha256:0ebc62fcec7cb0cf078856bd8091fe0a26e637b4c1c8a313f663b50cdcbbc593

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T21:55:33.901841Z digest=sha256:a1a8d74dec00e8ec5a88a58ce2a95b24563bab7d97b62742221df50321397d72

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=sha256:84a157b5ae7c2ea875954267ef55ed6d764afbd2f80152381985cb541e6bab5d

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=sha256:8d33d36f58a2be0f087671f49e339c4e4f9291c2f20f7b998dd347685928f53d

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T21:55:33.911031Z digest=sha256:5c513cdbe55f3eeb01341b7336b2cb7402d103475d79b437707e5d376b2fd117

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T21:55:33.914398Z digest=sha256:d270eb2b4901c99823b0fc2866990a5581f8cded52d39462248c38c35be4b68b

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T21:55:33.918460Z digest=sha256:8977257609bf5a3df6d1d2c805297ff8de1818c760fb9517abaa0767af7997b1

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T21:55:33.922524Z digest=sha256:6f22ea552efcbe34ed9ec902b25f53cd4cecfe90dd791656423e0d8c78d3656b

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:f42c019a50bffd79ade941e6a152fa2607cff9ef293a1e98e3b5e2851ea94027

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:c8bc77601b410da9e3754322a76c7927f605ab968ec316489472c4185eb93709

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:bb1fa016ca694baf0115009ae91f4094a90b550beeaa42ba01ac620359f0b32e

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=sha256:39bc99d7559075d26808a7429101b4784f730faef7569788a7896e73fed57977