Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
No LLM is Free From Bias: A Comprehensive Study of Bias Evaluation in Large Language Models
As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2503.11985.
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 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-06-30T22:54:03.054871Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, 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
4
arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation c7231fc4-ba49-4d57-8019-81550b3f9b27 · inbound
Algorithms Trained on Normal Chest X-rays Can Predict Health Insurance Types cites this paper.
Algorithms Trained on Normal Chest X-rays Can Predict Health Insurance Types No LLM is Free From Bias: A Comprehensive Study of Bias Evaluation in Large Language Models
Reference 3
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T22:35:25.036271Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 8284a470-7075-4d65-9c76-973cc28f8bb9 · inbound
Creating and Evaluating K-12 GenAI Assessment Graders Through Context Engineering cites this paper.
Creating and Evaluating K-12 GenAI Assessment Graders Through Context Engineering No LLM is Free From Bias: A Comprehensive Study of Bias Evaluation in Large Language Models
Reference 230
- Resolution
- verified exact
- arxiv_id, observed 2026-06-30T22:55:06.200993Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation cdc8326d-12db-4c3e-b3de-063f68bdebf5 · inbound
Evaluating Second-Order Bias of LLMs Through Epistemic Entitlement cites this paper.
Evaluating Second-Order Bias of LLMs Through Epistemic Entitlement No LLM is Free From Bias: A Comprehensive Study of Bias Evaluation in Large Language Models
Reference 3
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-03T20:18:57.359099Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.