Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Engagement Measurement Based on Facial Landmarks and Spatial-Temporal Graph Convolutional Networks
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2403.17175.
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 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-01T09:23:23.504064Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-12T11:01:31.758209Z
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 1ca61e47-4579-4cd6-9773-04673b5c27c9 · inbound
PriorNet: Prior-Guided Engagement Estimation from Face Video cites this paper.
PriorNet: Prior-Guided Engagement Estimation from Face Video Engagement Measurement Based on Facial Landmarks and Spatial-Temporal Graph Convolutional Networks
Reference 6
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T11:01:31.760192Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation b6281d2a-d161-43db-8c32-8d251bc6656c · inbound
Explainable graph attention network for stress recognition (StressGAT) via differential action units cites this paper.
Explainable graph attention network for stress recognition (StressGAT) via differential action units Engagement Measurement Based on Facial Landmarks and Spatial-Temporal Graph Convolutional Networks
Reference 38
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T09:23:23.504064Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.