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Paper Citation Record · LEDGER

Bias Amplification in Artificial Intelligence Systems

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1809.07842.

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

pith.paper-citation-record.v1
1809.07842 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 2026-08-10T06:31:04.303077+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T14:04:09.481134Z

measured 1 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

43
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation a5aa3885-831c-4c9c-a21d-92275b82c222 · inbound

Kernels of Selfhood: GPT-4o shows humanlike patterns of cognitive consistency moderated by free choice cites this paper.

Kernels of Selfhood: GPT-4o shows humanlike patterns of cognitive consistency moderated by free choice Bias Amplification in Artificial Intelligence Systems

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-10T14:04:09.481134Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T14:04:09.481134Z digest=sha256:c523fdedeee45f8468987b00cbcfe9b67c31b9752b0f946c4042d4a7e67b1477

Observation 314ffd4a-b643-4b9f-acd8-2aae593015f0 · inbound

Unmasking LAION-5B: Age, Gender, Race, and Emotion Biases in Large-Scale Image Datasets cites this paper.

Unmasking LAION-5B: Age, Gender, Race, and Emotion Biases in Large-Scale Image Datasets Bias Amplification in Artificial Intelligence Systems

Reference 275

Resolution
verified exact
local_arxiv, observed 2026-06-26T09:19:17.149124Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-06-26T09:12:19.873337Z digest=sha256:1a059dd1774028107cbf32b0eb1a17b29006ea4215d0b4a76c1ca940c137963a