Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Challenging the appearance of machine intelligence: Cognitive bias in LLMs and Best Practices for Adoption
As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2304.01358.
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 2026-08-12T05:32:20.881499Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-06T11:45:41.913612Z
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 c6016b8c-65f8-4217-9edc-525dc5e26a30 · inbound
Cognitive Biases in Large Language Models: A Survey and Mitigation Experiments cites this paper.
Cognitive Biases in Large Language Models: A Survey and Mitigation Experiments Challenging the appearance of machine intelligence: Cognitive bias in LLMs and Best Practices for Adoption
Reference 51
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T05:32:20.881499Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7b6a7e2b-4321-4c13-9eb7-9ef23625e172 · inbound
CBEval: A framework for evaluating and interpreting cognitive biases in LLMs cites this paper.
CBEval: A framework for evaluating and interpreting cognitive biases in LLMs Challenging the appearance of machine intelligence: Cognitive bias in LLMs and Best Practices for Adoption
Reference 22
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T22:54:51.555856Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ee997568-35c6-4268-a27f-fe8c7a2840ae · inbound
Addressing Benchmarking Gaps in Large Language Models for Health and Medicine with Dynamic Red-Teaming cites this paper.
Addressing Benchmarking Gaps in Large Language Models for Health and Medicine with Dynamic Red-Teaming Challenging the appearance of machine intelligence: Cognitive bias in LLMs and Best Practices for Adoption
Reference 47
- Resolution
- verified exact
- local_arxiv, observed 2026-08-06T11:45:41.918504Z
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.