Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-05T12:14:53.009100Z
Paper Citation Record · LEDGER
Mic Drop or Data Flop? Evaluating the Fitness for Purpose of AI Voice Interviewers for Data Collection within Quantitative & Qualitative Research Contexts
As of 19 August 2026, this Paper Citation Record lists 52 of 52 outbound references and 0 inbound Pith citation observations for arXiv:2509.01814.
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 2026-08-19T06:32:44.657259+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
52 of 52 outbound references displayed
- verified exact4
- verified fuzzy37
- unresolved11
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation db608558-695f-4750-9132-efacba2017b1 · outbound
This paper cites Conducting semi-structured interviews.
Mic Drop or Data Flop? Evaluating the Fitness for Purpose of AI Voice Interviewers for Data Collection within Quantitative & Qualitative Research Contexts Conducting semi-structured interviews
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T12:14:53.914896Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation fdd48ca6-c755-4631-9ff9-023828ac0699 · outbound
This paper cites A comprehensive evaluation of incremental speech recognition and diarization for conversational ai.
Mic Drop or Data Flop? Evaluating the Fitness for Purpose of AI Voice Interviewers for Data Collection within Quantitative & Qualitative Research Contexts A comprehensive evaluation of incremental speech recognition and diarization for conversational ai
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T12:14:53.903428Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation aa0c5d7b-0935-4173-9f6d-ee85e18c39ad · outbound
This paper cites Speech emotion recognition in conversations using artificial intelligence: a systematic review and meta-analysis.
Mic Drop or Data Flop? Evaluating the Fitness for Purpose of AI Voice Interviewers for Data Collection within Quantitative & Qualitative Research Contexts Speech emotion recognition in conversations using artificial intelligence: a systematic review and meta-analysis
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T12:14:53.892243Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation a075a094-bb1c-4469-95cd-725daa7dfe19 · outbound
This paper cites How call-in options affect address-based web surveys.
Mic Drop or Data Flop? Evaluating the Fitness for Purpose of AI Voice Interviewers for Data Collection within Quantitative & Qualitative Research Contexts How call-in options affect address-based web surveys
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T12:14:53.880945Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 78a4f56a-de79-4d71-bb4b-1654b6a9f415 · outbound
This paper cites Ai-assisted conversational interviewing: Effects on data quality and user experience.
Mic Drop or Data Flop? Evaluating the Fitness for Purpose of AI Voice Interviewers for Data Collection within Quantitative & Qualitative Research Contexts Ai-assisted conversational interviewing: Effects on data quality and user experience
Reference 5
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T12:14:51.726808Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b7e184ed-2d81-43fe-a2c5-1ee0a1345d9d · outbound
This paper cites The utility of probability-based online surveys: a literature review.
Mic Drop or Data Flop? Evaluating the Fitness for Purpose of AI Voice Interviewers for Data Collection within Quantitative & Qualitative Research Contexts The utility of probability-based online surveys: a literature review
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T12:14:53.869958Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 691692b2-465b-4590-bfcc-ed690409bfaf · outbound
This paper cites Gpt, pretend you are a survey researcher: Results from a systematic literature review exploring the use of large language models within survey research.
Mic Drop or Data Flop? Evaluating the Fitness for Purpose of AI Voice Interviewers for Data Collection within Quantitative & Qualitative Research Contexts Gpt, pretend you are a survey researcher: Results from a systematic literature review exploring the use of large language models within survey research
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T12:14:53.859034Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation fe1249fa-591f-45c9-a34a-2fa4bdede9c1 · outbound
This paper cites Conducting qualitative interviews with ai.
Mic Drop or Data Flop? Evaluating the Fitness for Purpose of AI Voice Interviewers for Data Collection within Quantitative & Qualitative Research Contexts Conducting qualitative interviews with ai
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T12:14:53.848232Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 18bf7008-0108-4cac-8f41-b23c750415da · outbound
This paper cites Qwen-Audio: Advancing Universal Audio Understanding via Unified Large-Scale Audio-Language Models.
Mic Drop or Data Flop? Evaluating the Fitness for Purpose of AI Voice Interviewers for Data Collection within Quantitative & Qualitative Research Contexts Qwen-Audio: Advancing Universal Audio Understanding via Unified Large-Scale Audio-Language Models
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T12:14:51.921009Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2a87bd13-2f95-4cd3-b9be-4c1626e01695 · outbound
This paper cites Automating telephone surveys: using t-acasi to obtain data on sensitive topics.
Mic Drop or Data Flop? Evaluating the Fitness for Purpose of AI Voice Interviewers for Data Collection within Quantitative & Qualitative Research Contexts Automating telephone surveys: using t-acasi to obtain data on sensitive topics
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T12:14:53.837415Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 55c9b6e3-62d6-407a-9418-32be46b707af · outbound
This paper cites Interactive voice response: review of studies 1989--2000.
Mic Drop or Data Flop? Evaluating the Fitness for Purpose of AI Voice Interviewers for Data Collection within Quantitative & Qualitative Research Contexts Interactive voice response: review of studies 1989--2000
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T12:14:53.826696Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation b5e8b150-da5a-4b8b-afb5-2b905116d633 · outbound
This paper cites Collecting Qualitative Data at Scale with Large Language Models: A Case Study.
Mic Drop or Data Flop? Evaluating the Fitness for Purpose of AI Voice Interviewers for Data Collection within Quantitative & Qualitative Research Contexts Collecting Qualitative Data at Scale with Large Language Models: A Case Study
Reference 12
- Resolution
- verified exact
- local_arxiv, observed 2026-08-05T12:14:53.148609Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 7082b871-1105-4515-aeb9-7af8f2c182b1 · outbound
This paper cites Recent Advances in Speech Language Models: A Survey.
Mic Drop or Data Flop? Evaluating the Fitness for Purpose of AI Voice Interviewers for Data Collection within Quantitative & Qualitative Research Contexts Recent Advances in Speech Language Models: A Survey
Reference 13
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T12:14:52.274618Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a81b53a6-6d59-4f2c-8783-6f89819e8cb6 · outbound
This paper cites Simsensei kiosk: A virtual human interviewer for healthcare decision support.
Mic Drop or Data Flop? Evaluating the Fitness for Purpose of AI Voice Interviewers for Data Collection within Quantitative & Qualitative Research Contexts Simsensei kiosk: A virtual human interviewer for healthcare decision support
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T12:14:53.815300Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 4286dd72-cdcc-4212-8ffc-0b5b856fb429 · outbound
This paper cites Response rate and measurement differences in mixed-mode surveys using mail, telephone, interactive voice response (ivr) and the internet.
Mic Drop or Data Flop? Evaluating the Fitness for Purpose of AI Voice Interviewers for Data Collection within Quantitative & Qualitative Research Contexts Response rate and measurement differences in mixed-mode surveys using mail, telephone, interactive voice response (ivr) and the internet
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T12:14:53.804747Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation e5d30542-4c7c-4183-9dbb-d9c1b71d14db · outbound
This paper cites Moshi: a speech-text foundation model for real-time dialogue.
Mic Drop or Data Flop? Evaluating the Fitness for Purpose of AI Voice Interviewers for Data Collection within Quantitative & Qualitative Research Contexts Moshi: a speech-text foundation model for real-time dialogue
Reference 16
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T12:14:52.605187Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 33325c48-9a50-40e0-a5f5-5101664f5e0e · outbound
This paper cites We need to talk: Audio surveys and information extraction.
Mic Drop or Data Flop? Evaluating the Fitness for Purpose of AI Voice Interviewers for Data Collection within Quantitative & Qualitative Research Contexts We need to talk: Audio surveys and information extraction
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T12:14:53.793598Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 64fa1696-8876-4122-b9b5-748f9e608031 · outbound
This paper cites Prompting insight: Enhancing open-ended survey responses with ai-powered follow-ups.
Mic Drop or Data Flop? Evaluating the Fitness for Purpose of AI Voice Interviewers for Data Collection within Quantitative & Qualitative Research Contexts Prompting insight: Enhancing open-ended survey responses with ai-powered follow-ups
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T12:14:53.781797Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 6f3eb74c-c47f-4dc9-946d-c1c9288649ad · outbound
This paper cites Digging deep: How diverse identities are associated with different survey mode preferences for adverse, traumatic experiences.
Mic Drop or Data Flop? Evaluating the Fitness for Purpose of AI Voice Interviewers for Data Collection within Quantitative & Qualitative Research Contexts Digging deep: How diverse identities are associated with different survey mode preferences for adverse, traumatic experiences
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T12:14:53.771136Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 409b5507-56b6-4907-a579-e7c289e740db · outbound
This paper cites The audio check: A method for improving data quality and detecting data fabrication.
Mic Drop or Data Flop? Evaluating the Fitness for Purpose of AI Voice Interviewers for Data Collection within Quantitative & Qualitative Research Contexts The audio check: A method for improving data quality and detecting data fabrication
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T12:14:53.759294Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 2c2b59cf-744e-4e6f-877d-fcd3148faa09 · outbound
This paper cites Interview mode and measurement of sexual behaviors: Methodological issues.
Mic Drop or Data Flop? Evaluating the Fitness for Purpose of AI Voice Interviewers for Data Collection within Quantitative & Qualitative Research Contexts Interview mode and measurement of sexual behaviors: Methodological issues
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T12:14:53.747875Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 45daf9ed-2a0e-456d-b78e-eb873f94e5ac · outbound
This paper cites Survey methodology.
Mic Drop or Data Flop? Evaluating the Fitness for Purpose of AI Voice Interviewers for Data Collection within Quantitative & Qualitative Research Contexts Survey methodology
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T12:14:53.736950Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 6ba80f90-7798-4e9e-b494-8a09a05d58bf · outbound
This paper cites A survey on hallucination in large language models: Principles, taxonomy, challenges, and open questions.
Mic Drop or Data Flop? Evaluating the Fitness for Purpose of AI Voice Interviewers for Data Collection within Quantitative & Qualitative Research Contexts A survey on hallucination in large language models: Principles, taxonomy, challenges, and open questions
Reference 23
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T12:14:52.911117Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 57fcaf57-7ee4-438d-96d3-7ff518572d6e · outbound
This paper cites Comparative analysis and review of interactive voice response systems.
Mic Drop or Data Flop? Evaluating the Fitness for Purpose of AI Voice Interviewers for Data Collection within Quantitative & Qualitative Research Contexts Comparative analysis and review of interactive voice response systems
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T12:14:53.718207Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 267285bb-5e67-420e-a760-aae66d9018ac · outbound
This paper cites Inherent usability problems in interactive voice response systems.
Mic Drop or Data Flop? Evaluating the Fitness for Purpose of AI Voice Interviewers for Data Collection within Quantitative & Qualitative Research Contexts Inherent usability problems in interactive voice response systems
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T12:14:53.707511Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation d1aa1612-4fde-4114-934a-1b5f529c224a · outbound
This paper cites Comparing data from chatbot and web surveys: Effects of platform and conversational style on survey response quality.
Mic Drop or Data Flop? Evaluating the Fitness for Purpose of AI Voice Interviewers for Data Collection within Quantitative & Qualitative Research Contexts Comparing data from chatbot and web surveys: Effects of platform and conversational style on survey response quality
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T12:14:53.696845Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 20c997b9-9575-41d8-87c0-49ffe178e88f · outbound
This paper cites Social desirability bias in cati, ivr, and web surveys: The effects of mode and question sensitivity.
Mic Drop or Data Flop? Evaluating the Fitness for Purpose of AI Voice Interviewers for Data Collection within Quantitative & Qualitative Research Contexts Social desirability bias in cati, ivr, and web surveys: The effects of mode and question sensitivity
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T12:14:53.685982Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation dd0fdb9f-652e-47f7-80e2-9094dd6b8df3 · outbound
This paper cites Measuring the accuracy of automatic speech recognition solutions.
Mic Drop or Data Flop? Evaluating the Fitness for Purpose of AI Voice Interviewers for Data Collection within Quantitative & Qualitative Research Contexts Measuring the accuracy of automatic speech recognition solutions
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T12:14:53.675346Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation f9d52841-aab4-46e6-bd93-5d0db9a46c33 · outbound
This paper cites Unmoderated usability studies evolved: Can gpt ask useful follow-up questions? International Journal of Human--Computer Interaction, pp.\ 1--18, 2024.
Mic Drop or Data Flop? Evaluating the Fitness for Purpose of AI Voice Interviewers for Data Collection within Quantitative & Qualitative Research Contexts Unmoderated usability studies evolved: Can gpt ask useful follow-up questions? International Journal of Human--Computer Interaction, pp.\ 1--18, 2024
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T12:14:53.665523Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation e3214d9b-08c4-463a-84ec-319414e8354a · outbound
This paper cites Telephone surveys meet conversational ai: Evaluating a llm-based telephone survey system at scale.
Mic Drop or Data Flop? Evaluating the Fitness for Purpose of AI Voice Interviewers for Data Collection within Quantitative & Qualitative Research Contexts Telephone surveys meet conversational ai: Evaluating a llm-based telephone survey system at scale
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T12:14:53.655129Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation dd27a0c9-7de7-49a2-84f2-94315d1119a5 · outbound
This paper cites Investigating memory constraints on recall of options in interactive voice response system messages.
Mic Drop or Data Flop? Evaluating the Fitness for Purpose of AI Voice Interviewers for Data Collection within Quantitative & Qualitative Research Contexts Investigating memory constraints on recall of options in interactive voice response system messages
Reference 31
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T12:14:53.644313Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 1eda1a0f-60ce-4e1e-838a-685055bc791b · outbound
This paper cites The promise & pitfalls of ai‑augmented survey research.
Mic Drop or Data Flop? Evaluating the Fitness for Purpose of AI Voice Interviewers for Data Collection within Quantitative & Qualitative Research Contexts The promise & pitfalls of ai‑augmented survey research
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T12:14:53.633772Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 2bd2ff62-be20-417e-99b6-f9f588e926d0 · outbound
This paper cites Leybzon, Shreyas Tirumala, Nishant Jain, Summer Gillen, Michael Jackson, Cameron McPhee, and Jennifer Schmidt.
Mic Drop or Data Flop? Evaluating the Fitness for Purpose of AI Voice Interviewers for Data Collection within Quantitative & Qualitative Research Contexts Leybzon, Shreyas Tirumala, Nishant Jain, Summer Gillen, Michael Jackson, Cameron McPhee, and Jennifer Schmidt
Reference 33
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T12:14:53.623326Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation bdfd7414-5d33-4b64-96a6-d447259d467e · outbound
This paper cites Social evaluation of text-to-speech voices by adults and children.
Mic Drop or Data Flop? Evaluating the Fitness for Purpose of AI Voice Interviewers for Data Collection within Quantitative & Qualitative Research Contexts Social evaluation of text-to-speech voices by adults and children
Reference 34
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T12:14:53.612439Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 53a6ebb6-b659-4b9c-99f0-8518b7ae5ffd · outbound
This paper cites Why do survey respondents disclose more when computers ask the questions? Public opinion quarterly, 77 0 (4): 0 888--935, 2013.
Mic Drop or Data Flop? Evaluating the Fitness for Purpose of AI Voice Interviewers for Data Collection within Quantitative & Qualitative Research Contexts Why do survey respondents disclose more when computers ask the questions? Public opinion quarterly, 77 0 (4): 0 888--935, 2013
Reference 35
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T12:14:53.601758Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 10d1e2ba-ffa9-4a95-819c-f7b61abd2f39 · outbound
This paper cites It’s only a computer: Virtual humans increase willingness to disclose.
Mic Drop or Data Flop? Evaluating the Fitness for Purpose of AI Voice Interviewers for Data Collection within Quantitative & Qualitative Research Contexts It’s only a computer: Virtual humans increase willingness to disclose
Reference 36
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T12:14:53.591035Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation d8f787fd-02b4-406b-a447-a40c4e0f17f2 · outbound
This paper cites Application of humanization to survey chatbots: Change in chatbot perception, interaction experience, and survey data quality.
Mic Drop or Data Flop? Evaluating the Fitness for Purpose of AI Voice Interviewers for Data Collection within Quantitative & Qualitative Research Contexts Application of humanization to survey chatbots: Change in chatbot perception, interaction experience, and survey data quality
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T12:14:53.580442Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation f636c49c-b7ca-4521-8eaf-af1d892335b6 · outbound
This paper cites Precision and disclosure in text and voice interviews on smartphones.
Mic Drop or Data Flop? Evaluating the Fitness for Purpose of AI Voice Interviewers for Data Collection within Quantitative & Qualitative Research Contexts Precision and disclosure in text and voice interviews on smartphones
Reference 38
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T12:14:53.569162Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 2dec41fd-8681-460c-b093-2a84b5d47e1f · outbound
This paper cites Emphasis control for parallel neural TTS.
Mic Drop or Data Flop? Evaluating the Fitness for Purpose of AI Voice Interviewers for Data Collection within Quantitative & Qualitative Research Contexts Emphasis control for parallel neural TTS
Reference 39
- Resolution
- verified exact
- local_arxiv, observed 2026-08-05T12:14:53.108140Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 7a11e163-22ff-4d3c-b95d-a18592939d4b · outbound
This paper cites The relationship between interviewer-respondent rapport and data quality.
Mic Drop or Data Flop? Evaluating the Fitness for Purpose of AI Voice Interviewers for Data Collection within Quantitative & Qualitative Research Contexts The relationship between interviewer-respondent rapport and data quality
Reference 40
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T12:14:53.557035Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 5eb0bf0f-ac0f-42d1-a24e-6f964c6cef19 · outbound
This paper cites SALMONN: Towards Generic Hearing Abilities for Large Language Models.
Mic Drop or Data Flop? Evaluating the Fitness for Purpose of AI Voice Interviewers for Data Collection within Quantitative & Qualitative Research Contexts SALMONN: Towards Generic Hearing Abilities for Large Language Models
Reference 41
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T12:14:52.970488Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 85dfc3a7-9eac-457c-8985-d43ce325fd47 · outbound
This paper cites Attention is all you need.
Mic Drop or Data Flop? Evaluating the Fitness for Purpose of AI Voice Interviewers for Data Collection within Quantitative & Qualitative Research Contexts Attention is all you need
Reference 42
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T12:14:53.546445Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 8f0fe66d-f2d9-450a-91c4-d698af6d350a · outbound
This paper cites Leveraging large language models to power chatbots for collecting user self-reported data.
Mic Drop or Data Flop? Evaluating the Fitness for Purpose of AI Voice Interviewers for Data Collection within Quantitative & Qualitative Research Contexts Leveraging large language models to power chatbots for collecting user self-reported data
Reference 43
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T12:14:53.535731Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation b2459dd5-7f1f-47f5-9546-3d73cc75e7b5 · outbound
This paper cites AI Conversational Interviewing: Transforming Surveys with LLMs as Adaptive Interviewers.
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 2026-08-19T06:32:44.657259+00:00.
Observation 90561c46-d77f-4966-a7eb-c5a2dfd25f02 · outbound
This paper cites Qwen2.5-Omni Technical Report.
Mic Drop or Data Flop? Evaluating the Fitness for Purpose of AI Voice Interviewers for Data Collection within Quantitative & Qualitative Research Contexts Qwen2.5-Omni Technical Report
Reference 45
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T12:14:52.983980Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f2e9ca14-e9f4-4b30-9549-7bd3e9eb5769 · outbound
This paper cites Keeping Users Engaged During Repeated Administration of the Same Questionnaire: Using Large Language Models to Reliably Diversify Questions.
Mic Drop or Data Flop? Evaluating the Fitness for Purpose of AI Voice Interviewers for Data Collection within Quantitative & Qualitative Research Contexts Keeping Users Engaged During Repeated Administration of the Same Questionnaire: Using Large Language Models to Reliably Diversify Questions
Reference 46
- Resolution
- verified exact
- local_arxiv, observed 2026-08-05T12:14:53.047661Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation b40fbb39-e84a-47dd-955f-8300a721b26f · outbound
This paper cites Question generation to elicit users’ food preferences by considering the semantic content.
Mic Drop or Data Flop? Evaluating the Fitness for Purpose of AI Voice Interviewers for Data Collection within Quantitative & Qualitative Research Contexts Question generation to elicit users’ food preferences by considering the semantic content
Reference 47
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T12:14:53.524358Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 635717dc-5f47-4229-b925-28289a41cbef · outbound
This paper cites Accented text-to-speech synthesis with limited data.
Mic Drop or Data Flop? Evaluating the Fitness for Purpose of AI Voice Interviewers for Data Collection within Quantitative & Qualitative Research Contexts Accented text-to-speech synthesis with limited data
Reference 48
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T12:14:53.513468Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation ae851a4c-f289-47be-b70c-35913ddf950c · outbound
This paper cites write newline.
Reference 49
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T12:14:52.997150Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 11e9f82c-ab57-4be5-b308-6fde357e871a · outbound
This paper cites @esa (Ref.
Reference 50
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T12:14:53.001588Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e0e19880-4755-49c2-ab64-1ec0091b2be5 · outbound
This paper cites an unresolved cited work.
Mic Drop or Data Flop? Evaluating the Fitness for Purpose of AI Voice Interviewers for Data Collection within Quantitative & Qualitative Research Contexts Unresolved cited work
Reference 51
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T12:14:53.005460Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation dc65a231-005d-4b26-8fb6-9bacba6045d7 · outbound
This paper cites an unresolved cited work.
Mic Drop or Data Flop? Evaluating the Fitness for Purpose of AI Voice Interviewers for Data Collection within Quantitative & Qualitative Research Contexts Unresolved cited work
Reference 52
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T12:14:53.009100Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Pith citing papers
No inbound Pith citation observations are available.