Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Large Language Models are Biased Because They Are Large Language Models
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2406.13138.
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 2026-08-07T10:58:27.262021Z
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
2
pith, observed 2026-08-05T02:28:24.338817Z
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation 333b0b5b-1c0a-4de9-9522-bc719485b433 · inbound
Knockout LLM Assessment: Using Large Language Models for Evaluations through Iterative Pairwise Comparisons cites this paper.
Knockout LLM Assessment: Using Large Language Models for Evaluations through Iterative Pairwise Comparisons Large Language Models are Biased Because They Are Large Language Models
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T10:58:27.262021Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fdd4b5bf-dbe7-4128-9b8c-a6dd37b82ffb · inbound
BiasLab: A Multilingual Dual-Framing Framework for LLM Bias Measurement, Applied to Workplace and HR Contexts cites this paper.
BiasLab: A Multilingual Dual-Framing Framework for LLM Bias Measurement, Applied to Workplace and HR Contexts Large Language Models are Biased Because They Are Large Language Models
Reference 14
- Resolution
- verified exact
- local_arxiv, observed 2026-08-03T11:23:38.456647Z
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.