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Paper Citation Record · LEDGER

User Experience Design Professionals' Perceptions of Generative Artificial Intelligence

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2309.15237.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2309.15237 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T04:09:04.195313Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-07-01T15:45:48.497174Z

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 5281a45d-c417-48b3-92fa-f21f21cdeda0 · inbound

"If we misunderstand the client, we misspend 100 hours": Exploring conversational AI and response types for information elicitation cites this paper.

"If we misunderstand the client, we misspend 100 hours": Exploring conversational AI and response types for information elicitation User Experience Design Professionals' Perceptions of Generative Artificial Intelligence

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-07T04:09:04.195313Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:09:04.195313Z digest=sha256:8786f132ce108d189b2b8e5d41ec09145eb526c7a8348beefcf4484e87297046

Observation 67670770-ec7e-4911-9e41-b879c7c44160 · inbound

Generative AI Literacy Training Improves Intelligence Analysts' Discrimination of Real and AI-Generated Images cites this paper.

Generative AI Literacy Training Improves Intelligence Analysts' Discrimination of Real and AI-Generated Images User Experience Design Professionals' Perceptions of Generative Artificial Intelligence

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-07-01T15:45:48.498798Z

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.

source=pdf_text observed=2026-06-30T01:08:22.794058Z digest=sha256:64760ffcb55d79be43fb6ea8649cd84aa3adb65c8223c7eaf695149fc837f97d