Paper Citation Record · LEDGER

AI Conversational Interviewing: Transforming Surveys with LLMs as Adaptive Interviewers

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2410.01824.

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

pith.paper-citation-record.v1
2410.01824 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T21:09:19.652612Z

measured 0 of 1 external citation measurements

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 6f916140-94c8-46ad-85bb-e7d7715da6d8 · inbound

Exploring LLMs for Automated Generation and Adaptation of Questionnaires cites this paper.

Exploring LLMs for Automated Generation and Adaptation of Questionnaires AI Conversational Interviewing: Transforming Surveys with LLMs as Adaptive Interviewers

Reference 80

Resolution: unresolved; no resolver link, observed 2026-08-10T21:09:19.652612Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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 2026-08-21T06:32:19.484+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.