Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
A critical analysis of cognitive load measurement methods for evaluating the usability of different types of interfaces: guidelines and framework for Human-Computer Interaction
As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2402.11820.
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 2026-08-11T06:34:44.6726+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-10T11:58:01.721432Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-15T18:41:28.665474Z
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 f6d15f80-0439-4115-a03c-3fbeefbe76ed · inbound
Engaging with AI: How Interface Design Shapes Human-AI Collaboration in High-Stakes Decision-Making cites this paper.
Engaging with AI: How Interface Design Shapes Human-AI Collaboration in High-Stakes Decision-Making A critical analysis of cognitive load measurement methods for evaluating the usability of different types of interfaces: guidelines and framework for Human-Computer Interaction
Reference 92
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T11:58:01.721432Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 925f558b-e848-4972-acb9-0a06bcbdd70b · inbound
Detecting Cognitive Signatures in Typing Behavior for Non-Intrusive Authorship Verification cites this paper.
Detecting Cognitive Signatures in Typing Behavior for Non-Intrusive Authorship Verification A critical analysis of cognitive load measurement methods for evaluating the usability of different types of interfaces: guidelines and framework for Human-Computer Interaction
Reference 17
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T18:41:28.668680Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 3ad7f3dc-c136-44e6-acd1-0bf2290f54f4 · inbound
Detecting Cognitive Signatures in Typing Behavior for Non-Intrusive Authorship Verification cites this paper.
Detecting Cognitive Signatures in Typing Behavior for Non-Intrusive Authorship Verification A critical analysis of cognitive load measurement methods for evaluating the usability of different types of interfaces: guidelines and framework for Human-Computer Interaction
Reference 18
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T20:21:27.287803Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.