Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2205.08383.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-16T11:12:05.351877Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-05T17:18:08.381981Z
0 of 0 outbound references displayed
External citation measurements
No source-named external measurement is stored.
No outbound reference observations are available for this paper version.
Observation 59766b7c-55b7-4e78-890a-154c0aadb7a1 · inbound
More is Less? A Simulation-Based Approach to Dynamic Interactions between Biases in Multimodal Models Bias and Fairness on Multimodal Emotion Detection Algorithms
Reference 47
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 90f95239-c47b-4960-8adc-899658b368c3 · inbound
Is It Still Fair? Investigating Gender Fairness in Cross-Corpus Speech Emotion Recognition Bias and Fairness on Multimodal Emotion Detection Algorithms
Reference 9
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9e811efb-fc01-41c3-9a96-4586e4b46395 · inbound
Affect Models Have Weak Generalizability to Atypical Speech Bias and Fairness on Multimodal Emotion Detection Algorithms
Reference 26
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 51dba7ae-2946-4179-b41a-1f1c8593079a · inbound
TrustSkin: A Fairness Pipeline for Trustworthy Facial Affect Analysis Across Skin Tone Bias and Fairness on Multimodal Emotion Detection Algorithms
Reference 27
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4ca1f11c-cb44-4b50-9bc2-a442d35ce64c · inbound
FAIRWELL: Fair Multimodal Self-Supervised Learning for Wellbeing Prediction Bias and Fairness on Multimodal Emotion Detection Algorithms
Reference 8
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.