Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
A Multimodal Emotion Recognition System: Integrating Facial Expressions, Body Movement, Speech, and Spoken Language
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2412.17907.
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 2026-05-19T13:09:00.732889Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-19T13:12:18.328786Z
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 7e3d44f3-749d-4caf-b5fe-1aa07dfccaa6 · inbound
BAH Dataset for Ambivalence/Hesitancy Recognition in Videos for Digital Behavioural Change cites this paper.
BAH Dataset for Ambivalence/Hesitancy Recognition in Videos for Digital Behavioural Change A Multimodal Emotion Recognition System: Integrating Facial Expressions, Body Movement, Speech, and Spoken Language
Reference 46
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T13:12:18.332119Z
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 a7185d3c-2719-40ec-af3e-1e41b9d5cc24 · inbound
Multimodal Ambivalence/Hesitancy Recognition in Videos for Personalized Digital Health Interventions cites this paper.
Multimodal Ambivalence/Hesitancy Recognition in Videos for Personalized Digital Health Interventions A Multimodal Emotion Recognition System: Integrating Facial Expressions, Body Movement, Speech, and Spoken Language
Reference 43
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T09:31:01.351126Z
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.