Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
AI Conversational Interviewing: Transforming Surveys with LLMs as Adaptive Interviewers
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2410.01824.
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 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T04:09:06.032464Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-05T12:14:53.073777Z
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 2c54edbc-5490-4932-bbbd-f6ed680cabae · 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 AI Conversational Interviewing: Transforming Surveys with LLMs as Adaptive Interviewers
Reference 46
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T04:09:06.032464Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b2459dd5-7f1f-47f5-9546-3d73cc75e7b5 · inbound
Mic Drop or Data Flop? Evaluating the Fitness for Purpose of AI Voice Interviewers for Data Collection within Quantitative & Qualitative Research Contexts cites this paper.
Mic Drop or Data Flop? Evaluating the Fitness for Purpose of AI Voice Interviewers for Data Collection within Quantitative & Qualitative Research Contexts AI Conversational Interviewing: Transforming Surveys with LLMs as Adaptive Interviewers
Reference 44
- Resolution
- verified exact
- local_arxiv, observed 2026-08-05T12:14:53.078527Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 130e83b4-40f5-4167-9f12-920924bd3804 · inbound
Artificially intelligent agents in the social and behavioral sciences: A history and outlook cites this paper.
Artificially intelligent agents in the social and behavioral sciences: A history and outlook AI Conversational Interviewing: Transforming Surveys with LLMs as Adaptive Interviewers
Reference 240
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T11:19:27.759212Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.