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Paper Citation Record · LEDGER

Demographics and discussion influence views on algorithmic fairness

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1712.09124.

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

pith.paper-citation-record.v1
1712.09124 v2

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 2026-08-15T06:32:42.880941+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T22:01:23.530147Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-05-24T04:13:53.348928Z

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 e2730ac5-1634-4614-ae00-98f70ffa6dc0 · inbound

AI, Meet Human: Learning Paradigms for Hybrid Decision Making Systems cites this paper.

AI, Meet Human: Learning Paradigms for Hybrid Decision Making Systems Demographics and discussion influence views on algorithmic fairness

Reference 116

Resolution
verified exact
local_arxiv, observed 2026-05-24T04:13:53.351482Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-24T04:11:49.445697Z digest=sha256:fc87efef73dcdf64e0adffa7273521cdcc4499ed3225d5552fdffdb989205cd3

Observation 656f459e-0a9e-40a5-9495-cecc386ff249 · inbound

What's Privacy Good for? Measuring Privacy as a Shield from Harms due to Personal Data Use cites this paper.

What's Privacy Good for? Measuring Privacy as a Shield from Harms due to Personal Data Use Demographics and discussion influence views on algorithmic fairness

Reference 90

Resolution
unresolved
no resolver link, observed 2026-08-06T22:01:23.530147Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:01:23.530147Z digest=sha256:e325f73755395923a8a1c0da3e01b52cda2f4ddea13c51b3eb0b26a6af9001bd