Pith. sign in

Paper Citation Record · LEDGER

Fairness and Bias in Truth Discovery Algorithms: An Experimental Analysis

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2304.12573.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2304.12573 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 2026-08-09T06:31:02.800959+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-31T10:23:29.780998Z

measured 0 of 1 external citation measurements

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

Source: cited_works

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 af9cc9f0-4faa-4402-90e9-4a5b49d5fb5f · inbound

Learning When to Trust in Contextual Social Bandits cites this paper.

Learning When to Trust in Contextual Social Bandits Fairness and Bias in Truth Discovery Algorithms: An Experimental Analysis

Reference 7

Resolution
unresolved
no resolver link, observed 2026-07-15T12:59:04.484292Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-15T12:59:04.484292Z digest=sha256:fb246ec6f23a9c863e94f99bcb7aeefa495590429601d86b4aa4f1fccba18a81

Observation 68123824-07b3-4d26-8bb4-b4fd4f417552 · inbound

A Model for Imbalanced Label Aggregation: A Focus on Minority-Class Detection cites this paper.

A Model for Imbalanced Label Aggregation: A Focus on Minority-Class Detection Fairness and Bias in Truth Discovery Algorithms: An Experimental Analysis

Reference 119

Resolution
unresolved
no resolver link, observed 2026-07-31T10:23:29.780998Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-31T10:23:29.780998Z digest=sha256:875f891910217d3b4aeaf4edcad29985f67571f264661fc98ca0d323d04ca0ca