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Paper Citation Record · LEDGER

Bias and Fairness on Multimodal Emotion Detection Algorithms

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 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 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:55:16.784587Z

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 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:fbedc2efbf00da9d3576e9c247d295176ef1c310925c993618368c325d1e5404

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T17:18:07.611524Z digest=sha256:e38f394daab274a8aa33395e98b7de85cb531c1816be6e76b036b779924bb0ae