Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
AI Can Be Cognitively Biased: An Exploratory Study on Threshold Priming in LLM-Based Batch Relevance Assessment
As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2409.16022.
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 2026-08-13T06:32:02.005865+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-12T14:25:13.748668Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-11T19:32:56.509704Z
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 c9121d7f-c96a-4d56-b2d7-254a676e51b9 · inbound
The Decoy Dilemma in Online Medical Information Evaluation: A Comparative Study of Credibility Assessments by LLM and Human Judges cites this paper.
The Decoy Dilemma in Online Medical Information Evaluation: A Comparative Study of Credibility Assessments by LLM and Human Judges AI Can Be Cognitively Biased: An Exploratory Study on Threshold Priming in LLM-Based Batch Relevance Assessment
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T14:25:13.748668Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation dd3d2fc4-6c92-4ccc-b095-48885a3ebe4f · inbound
Anchoring Bias in Large Language Models: An Experimental Study cites this paper.
Anchoring Bias in Large Language Models: An Experimental Study AI Can Be Cognitively Biased: An Exploratory Study on Threshold Priming in LLM-Based Batch Relevance Assessment
Reference 16
- Resolution
- verified exact
- local_arxiv, observed 2026-08-11T19:32:56.516645Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.