Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
YouTube, The Great Radicalizer? Auditing and Mitigating Ideological Biases in YouTube Recommendations
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2203.10666.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T23:15:31.374803Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-12T09:51:29.014045Z
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 88e4f5cc-69c6-49e2-8581-3da23716d558 · inbound
AutoLike: Auditing Social Media Recommendations through User Interactions cites this paper.
AutoLike: Auditing Social Media Recommendations through User Interactions YouTube, The Great Radicalizer? Auditing and Mitigating Ideological Biases in YouTube Recommendations
Reference 14
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T23:15:31.374803Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 991d8575-d500-416e-b12a-839feae54021 · inbound
Algorithmic Audit of Personalisation Drift in Polarising Topics on TikTok cites this paper.
Algorithmic Audit of Personalisation Drift in Polarising Topics on TikTok YouTube, The Great Radicalizer? Auditing and Mitigating Ideological Biases in YouTube Recommendations
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-07-13T21:18:01.626348Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4bf24a99-bd42-480f-ad0f-d0ab217f9dc4 · inbound
Empire Amplifier: Uncovering and Contesting the Prioritization of Colonial Content on Platforms Through Community-Informed Algorithmic Auditing cites this paper.
Empire Amplifier: Uncovering and Contesting the Prioritization of Colonial Content on Platforms Through Community-Informed Algorithmic Auditing YouTube, The Great Radicalizer? Auditing and Mitigating Ideological Biases in YouTube Recommendations
Reference 52
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T09:51:29.017955Z
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.