Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
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.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T17:58:45.997317Z
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 2026-08-06T06:34:29.942622+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 2026-08-06T06:34:29.942622+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.