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Paper Citation Record · LEDGER

Bias and Fairness on Multimodal Emotion Detection Algorithms

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.

pith.paper-citation-record.v1
2205.08383 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:12:05.351877Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-08-05T17:18:08.381981Z

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 59766b7c-55b7-4e78-890a-154c0aadb7a1 · inbound

More is Less? A Simulation-Based Approach to Dynamic Interactions between Biases in Multimodal Models cites this paper.

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

Resolution
unresolved
no resolver link, observed 2026-08-11T05:29:59.250497Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T05:29:59.250497Z digest=sha256:bbf4f7f0fd7890a77eaeb9e46c5e90ea9b289c0ad2d1015bddcc0df9c6d85198

Observation 90f95239-c47b-4960-8adc-899658b368c3 · inbound

Is It Still Fair? Investigating Gender Fairness in Cross-Corpus Speech Emotion Recognition cites this paper.

Is It Still Fair? Investigating Gender Fairness in Cross-Corpus Speech Emotion Recognition Bias and Fairness on Multimodal Emotion Detection Algorithms

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-10T22:42:20.501906Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:42:20.501906Z digest=sha256:7e4cf5216c197d885d0574cbf6d0823a1e0109a5608cd47ab9278578c1764b00

Observation 9e811efb-fc01-41c3-9a96-4586e4b46395 · inbound

Affect Models Have Weak Generalizability to Atypical Speech cites this paper.

Affect Models Have Weak Generalizability to Atypical Speech Bias and Fairness on Multimodal Emotion Detection Algorithms

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-16T11:12:05.351877Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:12:05.351877Z digest=sha256:bb00bdfb006d471ff7a511a1bc2a448f62279de8398a2ea2e0da0e46ebef3bc1

Observation 51dba7ae-2946-4179-b41a-1f1c8593079a · inbound

TrustSkin: A Fairness Pipeline for Trustworthy Facial Affect Analysis Across Skin Tone cites this paper.

TrustSkin: A Fairness Pipeline for Trustworthy Facial Affect Analysis Across Skin Tone Bias and Fairness on Multimodal Emotion Detection Algorithms

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-07T13:55:16.784587Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:55:16.784587Z digest=sha256:3a1ff2b4bb6808fb109cc4e954d3bd68999febf84700eb5d1b53e5ad707866cd

Observation 4ca1f11c-cb44-4b50-9bc2-a442d35ce64c · inbound

FAIRWELL: Fair Multimodal Self-Supervised Learning for Wellbeing Prediction cites this paper.

FAIRWELL: Fair Multimodal Self-Supervised Learning for Wellbeing Prediction Bias and Fairness on Multimodal Emotion Detection Algorithms

Reference 8

Resolution
metadata mismatch
local_arxiv, observed 2026-08-05T17:18:08.464109Z

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.

source=pdf_text observed=2026-08-05T17:18:07.611524Z digest=sha256:aea0304890f83e91d40720581c77ac10238fcf9db73a5c7d47af53ef907bb3ae