Paper Citation Record · LEDGER

Performance and Non-adversarial Robustness of the Segment Anything Model 2 in Surgical Video Segmentation

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2408.04098.

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

pith.paper-citation-record.v1
2408.04098 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 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 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T17:58:45.997317Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T22:45:50.796388Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 9552bf6d-ffd0-4df9-a194-6e4118fa44a4 · inbound

SegSTRONG-C: Segmenting Surgical Tools Robustly On Non-adversarial Generated Corruptions -- An EndoVis'24 Challenge cites this paper.

SegSTRONG-C: Segmenting Surgical Tools Robustly On Non-adversarial Generated Corruptions -- An EndoVis'24 Challenge Performance and Non-adversarial Robustness of the Segment Anything Model 2 in Surgical Video Segmentation

Reference 36

Resolution: verified exact; arxiv_id, observed 2026-05-23T22:45:50.799162Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation c9a087ea-f74e-4762-b407-ad28c3c3aae9 · inbound

Towards Robust Surgical Automation via Digital Twin Representations from Foundation Models cites this paper.

Towards Robust Surgical Automation via Digital Twin Representations from Foundation Models Performance and Non-adversarial Robustness of the Segment Anything Model 2 in Surgical Video Segmentation

Reference 41

Resolution: metadata mismatch; arxiv_id, observed 2026-05-23T20:23:24.934702Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation d689a970-3837-4a74-a7d7-3f52283dfac9 · inbound

Memory-Augmented SAM2 for Training-Free Surgical Video Segmentation cites this paper.

Memory-Augmented SAM2 for Training-Free Surgical Video Segmentation Performance and Non-adversarial Robustness of the Segment Anything Model 2 in Surgical Video Segmentation

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-06T17:58:45.997317Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 43e7b8ec-8a18-4de3-b801-04d79db05720 · inbound

Beyond Rigid AI: Towards Natural Human-Machine Symbiosis for Interoperative Surgical Assistance cites this paper.

Beyond Rigid AI: Towards Natural Human-Machine Symbiosis for Interoperative Surgical Assistance Performance and Non-adversarial Robustness of the Segment Anything Model 2 in Surgical Video Segmentation

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-06T11:08:36.646430Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.