Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
The SARAS Endoscopic Surgeon Action Detection (ESAD) dataset: Challenges and methods
As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2104.03178.
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 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T11:22:59.632117Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-06T19:25:09.140568Z
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 36000161-d57b-44a5-90ab-da456df2ac79 · inbound
Large-scale Self-supervised Video Foundation Model for Intelligent Surgery cites this paper.
Large-scale Self-supervised Video Foundation Model for Intelligent Surgery The SARAS Endoscopic Surgeon Action Detection (ESAD) dataset: Challenges and methods
Reference 62
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T11:22:59.632117Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 47b32b78-3570-4389-b981-9c564d7c76b3 · inbound
MedGen: Unlocking Medical Video Generation by Scaling Granularly-annotated Medical Videos cites this paper.
MedGen: Unlocking Medical Video Generation by Scaling Granularly-annotated Medical Videos The SARAS Endoscopic Surgeon Action Detection (ESAD) dataset: Challenges and methods
Reference 4
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-08-06T19:25:09.146157Z
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 97740936-b417-493e-88da-91304c4221ec · inbound
SurgAM: Surgical Affordance Map Prediction with Multimodal Feature Fusion for Robot Autonomy cites this paper.
SurgAM: Surgical Affordance Map Prediction with Multimodal Feature Fusion for Robot Autonomy The SARAS Endoscopic Surgeon Action Detection (ESAD) dataset: Challenges and methods
Reference 40
- Resolution
- unresolved
- no resolver link, observed 2026-07-11T19:36:47.488953Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.