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Paper Citation Record · LEDGER

FAT Forensics: A Python Toolbox for Algorithmic Fairness, Accountability and Transparency

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1909.05167.

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

pith.paper-citation-record.v1
1909.05167 v3

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 2026-08-18T06:34:40.430872+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T21:28:23.673461Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T14:35:06.153711Z

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 72995893-e9a5-4425-9f89-7747b5db8e1b · inbound

What Makes a Fairness Tool Project Sustainable in Open Source? cites this paper.

What Makes a Fairness Tool Project Sustainable in Open Source? FAT Forensics: A Python Toolbox for Algorithmic Fairness, Accountability and Transparency

Reference 76

Resolution
unresolved
no resolver link, observed 2026-08-15T21:28:23.673461Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:28:23.673461Z digest=sha256:c111be244bd6e9c780a36bf2a557b1480d1ec29e42ee82972516aff05a3c75f4

Observation 75069ec3-8fda-4910-842f-3080499d2bad · inbound

Exploring the Landscape of Fairness Interventions in Software Engineering cites this paper.

Exploring the Landscape of Fairness Interventions in Software Engineering FAT Forensics: A Python Toolbox for Algorithmic Fairness, Accountability and Transparency

Reference 102

Resolution
verified exact
local_arxiv, observed 2026-08-06T14:35:06.159163Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T14:35:05.957528Z digest=sha256:f59f638fa49291029b972ecf2026139a2e01a5191e10284cea41e758eb0b9d29