RESEARCH LIBRARY / SYNTHETIC MARKET RESEARCH
Synthetic respondents
Published research and source material for readers who want to explore this topic in depth.
Synthetic respondents research library
Published research on AI-simulated survey participants, measurement and validation. This library supports the corresponding section of SMR's industry guide and is provided for readers who want to explore the underlying work in more depth.
Sources
2026-09-09Epistemic Displacement Theory: Understanding the Transformation of Consumer Knowledge in the Age of Synthetic Respondents — Journal of Macromarketing2026-09-09Total Simulated Survey Error: Designing and Diagnosing Survey Responses from Large Language Models — arXiv (Cornell University)2026-09-07Development of a Predictive Model for Tuberculosis (TB) in a Small Town Like Kapurthala, Punjab Using AI — International Journal of Computer Information Systems and Industrial Management Applicati…2026-09-07Marginal Fidelity Does Not Establish User Simulation in Demographic Synthetic Survey Panels: Response Contracts, Support Collapse and Conditioning Failure — arXiv (Cornell University)2026-09-07Can AI-Generated Data Mirror Real Responses? A Population-Level Fidelity Assessment of LLM-Generated Synthetic Likert Data Against Real Teacher Occupational Self-Efficacy Responses — Zenodo (CERN European Organization for Nuclear Research)2026-09-07Can AI-Generated Data Mirror Real Responses? A Population-Level Fidelity Assessment of LLM-Generated Synthetic Likert Data Against Real Teacher Occupational Self-Efficacy Responses — Zenodo (CERN European Organization for Nuclear Research)2026-09-06Ordinary, Reasonable Chatbots: Do AI Models Track Human Legal Judgments? — arXiv (Cornell University)2026-09-06Synthetic Confirmation: AI, Evidential Independence, and the Drift from Empirical Constraint — Zenodo (CERN European Organization for Nuclear Research)2026-09-06Synthetic Confirmation: AI, Evidential Independence, and the Drift from Empirical Constraint — Zenodo (CERN European Organization for Nuclear Research)2026-09-04Silicon Sample Benchmark — Tier 3 (direct effect forecast) submission (team team_23) — Zenodo (CERN European Organization for Nuclear Research)2026-09-04Silicon Sample Benchmark — Tier 3 (direct effect forecast) submission (team team_23) — Zenodo (CERN European Organization for Nuclear Research)2026-09-04Silicon Sample Benchmark — Tier 2 (group-level reasoning) submission (team team_23) — Zenodo (CERN European Organization for Nuclear Research)2026-09-04Silicon Sample Benchmark — Tier 2 (group-level reasoning) submission (team team_23) — Zenodo (CERN European Organization for Nuclear Research)2026-09-02Do LLMs Get The Treatment? Testing the Limits of Synthetic Respondents in Survey Experiments — Zenodo (CERN European Organization for Nuclear Research)2026-09-02Do LLMs Get The Treatment? Testing the Limits of Synthetic Respondents in Survey Experiments — Zenodo (CERN European Organization for Nuclear Research)2026-09-02Silicon Sample Benchmark — Tier 1 (individual simulation) submission (team team_11) — Zenodo (CERN European Organization for Nuclear Research)2026-09-02Silicon Sample Benchmark — Tier 1 (individual simulation) submission (team team_11) — Zenodo (CERN European Organization for Nuclear Research)2026-09-02Silicon Sample Benchmark — Tier 1 (individual simulation) submission (team team_22) — Zenodo (CERN European Organization for Nuclear Research)2026-09-02Silicon Sample Benchmark — Tier 1 (individual simulation) submission (team team_22) — Zenodo (CERN European Organization for Nuclear Research)2026-09-02Silicon Sample Benchmark — Tier 3 (direct effect forecast) submission (team team_11) — Zenodo (CERN European Organization for Nuclear Research)2026-09-02Silicon Sample Benchmark — Tier 3 (direct effect forecast) submission (team team_11) — Zenodo (CERN European Organization for Nuclear Research)2026-09-02Silicon Sample Benchmark — Tier 3 (direct effect forecast) submission (team team_22) — Zenodo (CERN European Organization for Nuclear Research)2026-09-02Silicon Sample Benchmark — Tier 3 (direct effect forecast) submission (team team_22) — Zenodo (CERN European Organization for Nuclear Research)2026-09-01Silicon Sample Benchmark — Tier 3 expert-agent submission: direct ATE forecasts from an LLM prompted as a social-science expert (team_15, secondary-2) — Zenodo (CERN European Organization for Nuclear Research)2026-09-01Silicon Sample Benchmark — Tier 3 expert-agent submission: direct ATE forecasts from an LLM prompted as a social-science expert (team_15, secondary-2) — Zenodo (CERN European Organization for Nuclear Research)2026-09-01Silicon Sample Benchmark — Team 29 / Tier 2 / primary — Zenodo (CERN European Organization for Nuclear Research)2026-09-01Silicon Sample Benchmark — Team 29 / Tier 2 / primary — Zenodo (CERN European Organization for Nuclear Research)2026-09-01Silicon Sample Benchmark — Tier 1 (individual simulation) submission (team team_19) — Zenodo (CERN European Organization for Nuclear Research)2026-09-01Silicon Sample Benchmark — Tier 1 (individual simulation) submission (team team_19) — Zenodo (CERN European Organization for Nuclear Research)2026-09-01Silicon Sample Benchmark — Tier 1 (individual simulation) submission (team team_4) — Zenodo (CERN European Organization for Nuclear Research)2026-09-01Silicon Sample Benchmark — Tier 3 (direct effect forecast) primary consensus submission (team_16) — Zenodo (CERN European Organization for Nuclear Research)2026-09-01Replication Data for: Investigating the Utility of LLM-Based ‘Silicon Samples’ in Political Science Conjoint Experiments — Harvard Dataverse2026-09-01Silicon Sample Benchmark — Tier 3 (direct effect forecast) primary consensus submission (team_16) — Zenodo (CERN European Organization for Nuclear Research)2026-09-01Silicon Sample Benchmark — Tier 3 (direct effect forecast) secondary-2 Claude submission (team_16) — Zenodo (CERN European Organization for Nuclear Research)2026-09-01Silicon Sample Benchmark — Tier 3 (direct effect forecast) secondary-2 Claude submission (team_16) — Zenodo (CERN European Organization for Nuclear Research)2026-09-01Silicon Sample Benchmark — Tier 3 (direct effect forecast) secondary-1 Gemini submission (team_16) — Zenodo (CERN European Organization for Nuclear Research)2026-09-01Silicon Sample Benchmark — Tier 3 (direct effect forecast) secondary-1 Gemini submission (team_16) — Zenodo (CERN European Organization for Nuclear Research)2026-09-01Silicon Sample Benchmark — Tier 1 interview-agent submission: LLM personas conditioned on life-story interviews (team_15, primary entry) — Zenodo (CERN European Organization for Nuclear Research)2026-09-01Silicon Sample Benchmark — Tier 1 interview-agent submission: LLM personas conditioned on life-story interviews (team_15, primary entry) — Zenodo (CERN European Organization for Nuclear Research)2026-09-01Silicon Sample Benchmark — Tier 1 survey-agent submission: LLM personas conditioned on climate survey data (team_15, secondary-1 entry) — Zenodo (CERN European Organization for Nuclear Research)2026-09-01Silicon Sample Benchmark — Tier 1 survey-agent submission: LLM personas conditioned on climate survey data (team_15, secondary-1 entry) — Zenodo (CERN European Organization for Nuclear Research)2026-09-01Surveys and artificial intelligence: a new challenge for non-market economic valuation — Knowledge-Based Systems2026-08-31Silicon Sample Benchmark — Tier 3 (direct effect forecast) submission (team team_15) — Zenodo (CERN European Organization for Nuclear Research)2026-08-31Silicon Sample Benchmark — Tier 3 (direct effect forecast) submission (team team_15) — Zenodo (CERN European Organization for Nuclear Research)2026-08-31Ecological validity as a foundation for service research rigor — Service Industries Journal2026-08-31Silicon Sample Benchmark — Tier 1 (individual simulation) submission (team team_7) — Zenodo (CERN European Organization for Nuclear Research)2026-08-31Silicon Sample Benchmark — Tier 1 (individual simulation) submission (team team_7) — Zenodo (CERN European Organization for Nuclear Research)2026-08-31Silicon Sample Benchmark — Tier 1 (individual simulation) submission (team team_7) — Zenodo (CERN European Organization for Nuclear Research)2026-08-31Silicon Sample Benchmark — Tier 1 (individual simulation) submission (team team_7) — Zenodo (CERN European Organization for Nuclear Research)2026-08-31Silicon Sample Benchmark — Tier 3 (direct effect forecast) submission (team team_15) — Zenodo (CERN European Organization for Nuclear Research)2026-08-31Silicon Sample Benchmark — Tier 3 (direct effect forecast) submission (team team_15) — Zenodo (CERN European Organization for Nuclear Research)2026-08-31Silicon Sample Benchmark — Tier 1 (individual simulation) submission (team team_7) — Zenodo (CERN European Organization for Nuclear Research)2026-08-31Silicon Sample Benchmark — Tier 1 (individual simulation) submission (team team_7) — Zenodo (CERN European Organization for Nuclear Research)2026-08-31Silicon Sample Benchmark team_32 — raw LLM output logs — Zenodo (CERN European Organization for Nuclear Research)2026-08-31Silicon Sample Benchmark team_32 — raw LLM output logs — Zenodo (CERN European Organization for Nuclear Research)2026-08-31Silicon Sample Benchmark — Tier 1 (individual simulation) submission (team team_10) — Zenodo (CERN European Organization for Nuclear Research)2026-08-31Silicon Sample Benchmark — Tier 1 (individual simulation) submission (team team_17) — Zenodo (CERN European Organization for Nuclear Research)2026-08-31Silicon Sample Benchmark — Tier 1 (individual simulation) submission (team team_31) — Zenodo (CERN European Organization for Nuclear Research)2026-08-31Silicon Sample Benchmark — Tier 1 (individual simulation) submission (team team_28) — Zenodo (CERN European Organization for Nuclear Research)2026-08-31Silicon Sample Benchmark — Tier 1 (individual simulation) submission (team team_27) — Zenodo (CERN European Organization for Nuclear Research)2026-08-31Silicon Sample Benchmark — Tier 1 (individual simulation) submission (team team_28) — Zenodo (CERN European Organization for Nuclear Research)2026-08-31Silicon Sample Benchmark — Tier 1 (individual simulation) submission (team team_3) — Zenodo (CERN European Organization for Nuclear Research)2026-08-31Silicon Sample Benchmark — Tier 1 (individual simulation) submission (team team_27) — Zenodo (CERN European Organization for Nuclear Research)2026-08-31Silicon Sample Benchmark — Tier 1 (individual simulation) submission (team team_17) — Zenodo (CERN European Organization for Nuclear Research)2026-08-31Silicon Sample Benchmark — Tier 1 (individual simulation) submission (team team_31) — Zenodo (CERN European Organization for Nuclear Research)2026-08-31tobihol/silicon-sample-submission: team_31 deposit snapshot (2026-08-31) — Zenodo (CERN European Organization for Nuclear Research)2026-08-31Silicon Sample Benchmark — Tier 1 (individual simulation) submission (team team_3) — Zenodo (CERN European Organization for Nuclear Research)2026-08-31Silicon Sample Benchmark — Tier 1 (individual simulation) submission (team team_17) — Zenodo (CERN European Organization for Nuclear Research)2026-08-31tobihol/silicon-sample-submission: team_31 deposit snapshot (2026-08-31) — Zenodo (CERN European Organization for Nuclear Research)2026-08-31Silicon Sample Benchmark — Tier 1 (individual simulation) submission (team team_10) — Zenodo (CERN European Organization for Nuclear Research)2026-08-31Silicon Sample Benchmark — Tier 1 (individual simulation) submission (team team_28) — Zenodo (CERN European Organization for Nuclear Research)2026-08-31Silicon Sample Benchmark — Tier 1 (individual simulation) submission (team team_3) — Zenodo (CERN European Organization for Nuclear Research)2026-08-31Silicon Sample Benchmark — Tier 1 (individual simulation) submission (team team_31) — Zenodo (CERN European Organization for Nuclear Research)2026-08-31Silicon Sample Benchmark — Tier 1 (individual simulation) submission (team team_17) — Zenodo (CERN European Organization for Nuclear Research)2026-08-31Silicon Sample Benchmark — Tier 1 (individual simulation) submission (team team_28) — Zenodo (CERN European Organization for Nuclear Research)2026-08-31Silicon Sample Benchmark — Tier 1 (individual simulation) submission (team team_3) — Zenodo (CERN European Organization for Nuclear Research)2026-08-31Silicon Sample Benchmark — Tier 1 (individual simulation) submission (team team_27) — Zenodo (CERN European Organization for Nuclear Research)2026-08-31Silicon Sample Benchmark — Tier 1 (individual simulation) submission (team team_4) — Zenodo (CERN European Organization for Nuclear Research)2026-08-31Silicon Sample Benchmark — Tier 1 (individual simulation) submission (team team_28) — Zenodo (CERN European Organization for Nuclear Research)2026-08-31Silicon Sample Benchmark — Tier 1 (individual simulation) submission (team team_28) — Zenodo (CERN European Organization for Nuclear Research)2026-08-31Silicon Sample Benchmark — Tier 1 (individual simulation) submission (team team_31) — Zenodo (CERN European Organization for Nuclear Research)2026-08-31Silicon Sample Benchmark — Tier 1 (individual simulation) submission (team team_17) — Zenodo (CERN European Organization for Nuclear Research)2026-08-31Silicon Sample Benchmark — Tier 1 (individual simulation) submission (team team_28) — Zenodo (CERN European Organization for Nuclear Research)2026-08-31Silicon Sample Benchmark — Tier 1 (individual simulation) submission (team team_28) — Zenodo (CERN European Organization for Nuclear Research)2026-08-31Silicon Sample Benchmark — Tier 1 (individual simulation) submission (team team_17) — Zenodo (CERN European Organization for Nuclear Research)2026-08-31Silicon Sample Benchmark — Tier 1 (individual simulation) submission (team team_27) — Zenodo (CERN European Organization for Nuclear Research)2026-08-31Silicon Sample Benchmark — Tier 1 (individual simulation) submission (team team_28) — Zenodo (CERN European Organization for Nuclear Research)2026-08-31Silicon Sample Benchmark — Tier 2 (group-level reasoning) submission (team team_32) — Zenodo (CERN European Organization for Nuclear Research)2026-08-31Silicon Sample Benchmark — Tier 3 (direct effect forecast) submission (team team_28) — Zenodo (CERN European Organization for Nuclear Research)2026-08-31Silicon Sample Benchmark — Tier 2 (group-level reasoning) submission (team team_17) — Zenodo (CERN European Organization for Nuclear Research)2026-08-31Silicon Sample Benchmark — Tier 3 (direct effect forecast) submission (team team_28) — Zenodo (CERN European Organization for Nuclear Research)2026-08-31Silicon Sample Benchmark — Tier 3 (direct effect forecast) submission (team team_17) — Zenodo (CERN European Organization for Nuclear Research)2026-08-31Silicon Sample Benchmark — Tier 3 (direct effect forecast) submission (team team_28) — Zenodo (CERN European Organization for Nuclear Research)2026-08-31Silicon Sample Benchmark — Tier 2 (group-level reasoning) submission (team team_17) — Zenodo (CERN European Organization for Nuclear Research)2026-08-31Silicon Sample Benchmark — Tier 2 (group-level reasoning) submission (team team_33) — Zenodo (CERN European Organization for Nuclear Research)2026-08-31Silicon Sample Benchmark — Tier 2 (group-level reasoning) submission (team team_32) — Zenodo (CERN European Organization for Nuclear Research)2026-08-31Silicon Sample Benchmark — Tier 3 (direct effect forecast) submission (team team_28) — Zenodo (CERN European Organization for Nuclear Research)2026-08-31Silicon Sample Benchmark — Tier 3 (direct effect forecast) submission (team team_3) — Zenodo (CERN European Organization for Nuclear Research)2026-08-31Silicon Sample Benchmark — Tier 3 (direct effect forecast) submission (team team_17) — Zenodo (CERN European Organization for Nuclear Research)2026-08-31Silicon Sample Benchmark — Tier 3 (direct effect forecast) submission (team team_28) — Zenodo (CERN European Organization for Nuclear Research)2026-08-31Silicon Sample Benchmark — Tier 3 (direct effect forecast) submission (team team_28) — Zenodo (CERN European Organization for Nuclear Research)2026-08-31Silicon Sample Benchmark — Tier 2 (group-level reasoning) submission (team team_32) — Zenodo (CERN European Organization for Nuclear Research)2026-08-31Silicon Sample Benchmark — Tier 3 (direct effect forecast) submission (team team_17) — Zenodo (CERN European Organization for Nuclear Research)2026-08-31Silicon Sample Benchmark — Tier 3 (direct effect forecast) submission (team team_28) — Zenodo (CERN European Organization for Nuclear Research)2026-08-31Silicon Sample Benchmark — Tier 3 (direct effect forecast) submission (team team_28) — Zenodo (CERN European Organization for Nuclear Research)2026-08-31Silicon Sample Benchmark — Tier 2 (group-level reasoning) submission (team team_32) — Zenodo (CERN European Organization for Nuclear Research)2026-08-31Silicon Sample Benchmark — Tier 2 (group-level reasoning) submission (team team_32) — Zenodo (CERN European Organization for Nuclear Research)2026-08-31Silicon Sample Benchmark — Tier 2 (group-level reasoning) submission (team team_17) — Zenodo (CERN European Organization for Nuclear Research)2026-08-31Silicon Sample Benchmark — Tier 2 (group-level reasoning) submission (team team_17) — Zenodo (CERN European Organization for Nuclear Research)2026-08-31Silicon Sample Benchmark — Tier 3 (direct effect forecast) submission (team team_28) — Zenodo (CERN European Organization for Nuclear Research)2026-08-31Silicon Sample Benchmark — Tier 2 (group-level reasoning) submission (team team_17) — Zenodo (CERN European Organization for Nuclear Research)2026-08-31Silicon Sample Benchmark — Tier 3 (direct effect forecast) submission (team team_17) — Zenodo (CERN European Organization for Nuclear Research)2026-08-31Silicon Sample Benchmark — Tier 2 (group-level reasoning) submission (team team_33) — Zenodo (CERN European Organization for Nuclear Research)2026-08-31Silicon Sample Benchmark — Tier 2 (group-level reasoning) submission (team team_33) — Zenodo (CERN European Organization for Nuclear Research)2026-08-31Silicon Sample Benchmark — Tier 3 (direct effect forecast) submission (team team_28) — Zenodo (CERN European Organization for Nuclear Research)2026-08-31Silicon Sample Benchmark — Tier 2 (group-level reasoning) submission (team team_32) — Zenodo (CERN European Organization for Nuclear Research)2026-08-31Silicon Sample Benchmark — Tier 3 (direct effect forecast) submission (team team_28) — Zenodo (CERN European Organization for Nuclear Research)2026-08-31Silicon Sample Benchmark — Tier 3 (direct effect forecast) submission (team team_27) — Zenodo (CERN European Organization for Nuclear Research)2026-08-31Silicon Sample Benchmark — Tier 2 (group-level reasoning) submission (team team_17) — Zenodo (CERN European Organization for Nuclear Research)2026-08-31Silicon Sample Benchmark — Tier 3 (direct effect forecast) submission (team team_17) — Zenodo (CERN European Organization for Nuclear Research)2026-08-31Silicon Sample Benchmark — Tier 2 (group-level reasoning) submission (team team_33) — Zenodo (CERN European Organization for Nuclear Research)2026-08-31Silicon Sample Benchmark — Tier 3 (direct effect forecast) submission (team team_17) — Zenodo (CERN European Organization for Nuclear Research)2026-08-31Silicon Sample Benchmark — Tier 3 (direct effect forecast) submission (team team_3) — Zenodo (CERN European Organization for Nuclear Research)2026-08-31Silicon Sample Benchmark — Tier 3 (direct effect forecast) submission (team team_28) — Zenodo (CERN European Organization for Nuclear Research)2026-08-31Silicon Sample Benchmark — Tier 3 (direct effect forecast) submission (team team_27) — Zenodo (CERN European Organization for Nuclear Research)2026-08-31team_31 Silicon Sample Benchmark: primary entry (idea_03): raw agent logs (escrow, class B) — Zenodo (CERN European Organization for Nuclear Research)2026-08-31team_31 Silicon Sample Benchmark: primary entry (idea_03): raw agent logs (escrow, class B) — Zenodo (CERN European Organization for Nuclear Research)2026-08-31Silicon Sample Benchmark — Tier 1 primary entry (team_28): raw generation logs, Qwen3.6-27B — Zenodo (CERN European Organization for Nuclear Research)2026-08-31Silicon Sample Benchmark — Tier 1 primary entry (team_28): raw generation logs, Qwen3.6-27B — Zenodo (CERN European Organization for Nuclear Research)2026-08-31Possibilities and Limitations of Korean Silicon Sampling : Algorithmic Fidelity, Variance, and Bias in AI-Based Public Opinion Simulation — Korean Journal of Journalism & Communication Studies2026-08-31Silicon Sample Benchmark — Tier 1 secondary-4 entry (team_28): raw generation logs, Llama 3.3 70B — Zenodo (CERN European Organization for Nuclear Research)2026-08-31Silicon Sample Benchmark — Tier 1 secondary-4 entry (team_28): raw generation logs, Llama 3.3 70B — Zenodo (CERN European Organization for Nuclear Research)2026-08-30Silicon Sample Benchmark — Tier 1 (individual simulation) submission (team_21) — Zenodo (CERN European Organization for Nuclear Research)2026-08-30Silicon Sample Benchmark — Tier 1 (individual simulation) submission (team_21) — Zenodo (CERN European Organization for Nuclear Research)2026-08-30Silicon Sample Benchmark — Tier 3 (direct effect forecast) submission (team team_15) — Zenodo (CERN European Organization for Nuclear Research)2026-08-30Team 8 Silicon Sample Benchmark Submission 2 (Tier 1) — Zenodo (CERN European Organization for Nuclear Research)2026-08-30Silicon Sample Benchmark — Tier 1 (individual simulation) submission (team_21) — Zenodo (CERN European Organization for Nuclear Research)2026-08-30Team 8 Silicon Sample Benchmark Submission 1 (Tier 3) — Zenodo (CERN European Organization for Nuclear Research)2026-08-30Team 8 Silicon Sample Benchmark Submission 3 (Tier 2) — Zenodo (CERN European Organization for Nuclear Research)2026-08-30Team 8 Silicon Sample Benchmark Submission 2 (Tier 1) — Zenodo (CERN European Organization for Nuclear Research)2026-08-30Silicon Sample Benchmark — Tier 1 (individual simulation) submission (team_21) — Zenodo (CERN European Organization for Nuclear Research)2026-08-30Silicon Sample Benchmark — Tier 1 (individual simulation) submission (team_21) — Zenodo (CERN European Organization for Nuclear Research)2026-08-30Team 8 Silicon Sample Benchmark Submission 3 (Tier 2) — Zenodo (CERN European Organization for Nuclear Research)2026-08-30Team 8 Silicon Sample Benchmark Submission 1 (Tier 3) — Zenodo (CERN European Organization for Nuclear Research)2026-08-30Silicon Sample Benchmark — Tier 1 (individual simulation) submission (team_21) — Zenodo (CERN European Organization for Nuclear Research)2026-08-30Silicon Sample Benchmark — Tier 2 group-level submission (Team 9) — Zenodo (CERN European Organization for Nuclear Research)2026-08-30Silicon Sample Benchmark — Tier 1 (individual simulation) submission (team team_30) — Zenodo (CERN European Organization for Nuclear Research)2026-08-30Silicon Sample Benchmark — Tier 3 treatment-effect submission (Team 9) — Zenodo (CERN European Organization for Nuclear Research)2026-08-30Silicon Sample Benchmark — Tier 3 treatment-effect submission (Team 9) — Zenodo (CERN European Organization for Nuclear Research)2026-08-30Silicon Sample Benchmark — Tier 1 (individual simulation) submission (team team_30) — Zenodo (CERN European Organization for Nuclear Research)2026-08-30Silicon Sample Benchmark — Tier 2 group-level submission (Team 9) — Zenodo (CERN European Organization for Nuclear Research)2026-08-30Silicon Sample Benchmark — Tier 1 (individual simulation) submission (team team_30) — Zenodo (CERN European Organization for Nuclear Research)2026-08-30Silicon Sample Benchmark — Tier 2 group-level submission (Team 9) — Zenodo (CERN European Organization for Nuclear Research)2026-08-30Silicon Sample Benchmark — Tier 3 treatment-effect submission (Team 9) — Zenodo (CERN European Organization for Nuclear Research)2026-08-30Silicon Sample Benchmark — Tier 1 (individual simulation) submission (team team_30) — Zenodo (CERN European Organization for Nuclear Research)2026-08-30K2_archive_LLM_calls_responses_team_30_primary — Zenodo (CERN European Organization for Nuclear Research)2026-08-30K2_archive_LLM_calls_responses_team_30_primary — Zenodo (CERN European Organization for Nuclear Research)2026-08-29THE SIMULATED CITIZEN — Zenodo (CERN European Organization for Nuclear Research)2026-08-29THE SIMULATED CITIZEN — Zenodo (CERN European Organization for Nuclear Research)2026-08-29alperozpinar/ascend: ASCEND v1.0.0 — Zenodo (CERN European Organization for Nuclear Research)2026-08-29alperozpinar/ascend: ASCEND v1.0.0 — Zenodo (CERN European Organization for Nuclear Research)2026-08-29kristinagligoric/silicon-sample-submission: Primary submission — Zenodo (CERN European Organization for Nuclear Research)2026-08-29kristinagligoric/silicon-sample-submission: Primary submission — Zenodo (CERN European Organization for Nuclear Research)2026-08-28Silicon Sample Benchmark <80><94> Tier 1 (individual simulation) submission (team team_5) — Zenodo (CERN European Organization for Nuclear Research)2026-08-28Silicon Sample Benchmark <80><94> Tier 1 (individual simulation) submission (team team_5) — Zenodo (CERN European Organization for Nuclear Research)2026-08-28Silicon Sample Benchmark — Tier 1 (individual simulation) submission (team 20) — Zenodo (CERN European Organization for Nuclear Research)2026-08-28Silicon Sample Benchmark — Tier 1 (individual simulation) submission (team 20) — Zenodo (CERN European Organization for Nuclear Research)2026-08-28Silicon Sample Benchmark Raw Data team_7 — Zenodo (CERN European Organization for Nuclear Research)2026-08-28Silicon Sample Benchmark Raw Data team_7 — Zenodo (CERN European Organization for Nuclear Research)2026-08-28Silicon Sample Benchmark — Tier 1 (individual simulation) submission (team team_6) — Zenodo (CERN European Organization for Nuclear Research)2026-08-28Silicon Sample Benchmark — Tier 1 (individual simulation) submission (team team_6) — Zenodo (CERN European Organization for Nuclear Research)2026-08-28Silicon Sample Benchmark — Tier 1 (individual simulation) submission (team team_6) — Zenodo (CERN European Organization for Nuclear Research)2026-08-28Silicon Sample Benchmark — Tier 1 (individual simulation) submission (team team_6) — Zenodo (CERN European Organization for Nuclear Research)2026-08-28Silicon Sample Benchmark — Tier 1 (individual simulation) submission (team team_9) — Zenodo (CERN European Organization for Nuclear Research)2026-08-28Silicon Sample Benchmark — Tier 1 (individual simulation) submission (team team_6) — Zenodo (CERN European Organization for Nuclear Research)2026-08-28Silicon Sample Benchmark — Tier 1 (individual simulation) submission (team team_6) — Zenodo (CERN European Organization for Nuclear Research)2026-08-28Silicon Sample Benchmark — Tier 1 (individual simulation) submission (team team_9) — Zenodo (CERN European Organization for Nuclear Research)2026-08-28Silicon Sample Benchmark — Tier 2 (group-level reasoning) submission (team team_6) — Zenodo (CERN European Organization for Nuclear Research)2026-08-28Silicon Sample Benchmark — Tier 2 (group-level reasoning) submission (team team_6) — Zenodo (CERN European Organization for Nuclear Research)2026-08-28Escrowed Reproducibility Materials for Team 9's Tier 1 Silicon Sample Benchmark Submission — Zenodo (CERN European Organization for Nuclear Research)2026-08-28Escrowed Reproducibility Materials for Team 9's Tier 1 Silicon Sample Benchmark Submission — Zenodo (CERN European Organization for Nuclear Research)2026-08-28Silicon Sample Benchmark <80><94> Tier 3 (direct effect forecast) submission (team team_5) — Zenodo (CERN European Organization for Nuclear Research)2026-08-28Silicon Sample Benchmark <80><94> Tier 3 (direct effect forecast) submission (team team_5) — Zenodo (CERN European Organization for Nuclear Research)2026-08-28Silicon Sample Benchmark <80><94> Tier 2 (group-level reasoning) submission (team team_5) — Zenodo (CERN European Organization for Nuclear Research)2026-08-28Silicon Sample Benchmark <80><94> Tier 3 (direct effect forecast) submission (team team_5) — Zenodo (CERN European Organization for Nuclear Research)2026-08-28Silicon Sample Benchmark <80><94> Tier 3 (direct effect forecast) submission (team team_5) — Zenodo (CERN European Organization for Nuclear Research)2026-08-28Silicon Sample Benchmark <80><94> Tier 2 (group-level reasoning) submission (team team_5) — Zenodo (CERN European Organization for Nuclear Research)2026-08-28Silicon Sample Benchmark — Tier 1 (per-respondent simulation) submission (team 20): raw model output logs — Zenodo (CERN European Organization for Nuclear Research)2026-08-28Silicon Sample Benchmark — Tier 1 (per-respondent simulation) submission (team 20): raw model output logs — Zenodo (CERN European Organization for Nuclear Research)2026-08-28Particle swarm optimization of Rutherford backscattering spectra — Journal of Applied Physics2026-08-27Output of T2 runs for silicon sampling benchmark — Zenodo (CERN European Organization for Nuclear Research)2026-08-27Output of T2 runs for silicon sampling benchmark — Zenodo (CERN European Organization for Nuclear Research)2026-08-27Dataset of 'Efficiency Gains in Social Science Research: A Prospective Silicon Sampling Protocol for Pre-Treatment and Code Optimization' — Recherche Data Gouv France2026-08-24Replication Package: The Illusion of Cognitive Sovereignty / Die Illusion kognitiver Souveränität? — Zenodo (CERN European Organization for Nuclear Research)2026-08-24Replication Package: The Illusion of Cognitive Sovereignty / Die Illusion kognitiver Souveränität? — Zenodo (CERN European Organization for Nuclear Research)2026-08-24Large language models simulate intersectional synthetic identities with a budget of one to two dimensions — arXiv (Cornell University)2026-08-24BRAS-9: Meta-prompts and platform for generating Brazilian synthetic survey respondents — Zenodo (CERN European Organization for Nuclear Research)2026-08-24BRAS-9: Meta-prompts and platform for generating Brazilian synthetic survey respondents — Zenodo (CERN European Organization for Nuclear Research)2026-08-23When Persona Simulations Are Informative: Graph-Structured Signals for Pluralistic Opinion Sensing — arXiv (Cornell University)2026-08-23silicon-htr: a silicon-sampling audit framework for hard-to-reach survey populations — Zenodo (CERN European Organization for Nuclear Research)2026-08-23silicon-htr: a silicon-sampling audit framework for hard-to-reach survey populations — Zenodo (CERN European Organization for Nuclear Research)2026-08-22Signal Origin Substitution: Reproducibility Package for Synthetic Discrepancy-Formation Model Recovery — Zenodo (CERN European Organization for Nuclear Research)2026-08-22Signal Origin Substitution: Reproducibility Package for Synthetic Discrepancy-Formation Model Recovery — Zenodo (CERN European Organization for Nuclear Research)2026-08-21Silicon Sample Benchmark — Tier 3 (direct effect forecast) submission (team team_12) — Zenodo (CERN European Organization for Nuclear Research)2026-08-21Silicon Sample Benchmark — Tier 3 (direct effect forecast) submission (team team_12) — Zenodo (CERN European Organization for Nuclear Research)2026-08-21Silicon Sample Benchmark — Tier 3 (direct effect forecast) submission (team team_12) — Zenodo (CERN European Organization for Nuclear Research)2026-08-21Silicon Sample Benchmark — Tier 3 (direct effect forecast) submission (team team_12) — Zenodo (CERN European Organization for Nuclear Research)2026-08-17Human and Artificial Agents in Social Decision-Making: Experimental, Computational, and Neurobiological Evidence — Caltech Library2026-08-17Point cloud calorimeter shower datasets for multi-geometry pre-training: SimpleBox and LEMURS — Universität Hamburg2026-08-17Point cloud calorimeter shower datasets for multi-geometry pre-training: SimpleBox and LEMURS — Universität Hamburg2026-08-15janpfander/llm_predictions_megastudy: Benchmark Preregistration — Zenodo (CERN European Organization for Nuclear Research)2026-08-15janpfander/llm_predictions_megastudy: Benchmark Preregistration — Zenodo (CERN European Organization for Nuclear Research)2026-08-14Use of LLMs for Generating Synthetic ARDs to Make Estimates in Electoral Processes — Research Square2026-08-14The conditional superiority of fast silicon sampling — arXiv (Cornell University)2026-08-14Vicarian: inspectable LLM-simulated survey respondents — Zenodo (CERN European Organization for Nuclear Research)2026-08-14Vicarian: inspectable LLM-simulated survey respondents — Zenodo (CERN European Organization for Nuclear Research)2026-08-13Multi-dimensional Bias in Modeling Multi-dimensional Preferences: Evaluating the Ability of Synthetic Agents to Replace Human Participants in Conjoint Experiments — arXiv (Cornell University)2026-08-13From human panels to silicon samples: a research agenda for synthetic data in marketing research — Journal of Marketing Analytics2026-08-12Beyond Mean Ratings: Cross-Linguistic Human-LLM Alignment in Sensorimotor Norms — OSF Preprints (OSF Preprints)2026-08-12EduFusionFormer: A Multimodal Transformer Framework for Analyzing Educational Administrative Behavior Using Simulated Institutional Data — Zenodo (CERN European Organization for Nuclear Research)2026-08-12EduFusionFormer: A Multimodal Transformer Framework for Analyzing Educational Administrative Behavior Using Simulated Institutional Data — Zenodo (CERN European Organization for Nuclear Research)2026-08-11Does a Culturally-Native LLM Improve Silicon-Sampling Fidelity? —2026-08-06Calibrated Population Diversity: Closing the Loop Between Survey Fidelity and Agentic Behavior in Synthetic Respondents — Zenodo (CERN European Organization for Nuclear Research)2026-08-06Marginal Alignment Does Not Guarantee Joint-Distribution Fidelity: An Official-Reference Audit of Nemotron-Personas-Korea with Cross-Locale Replication — Research Square2026-08-02A Psychometric-Statistical Framework for Silicon Samples — OSF Preprints (OSF Preprints)2026-07-31Believable Is Not Valid: A preregistered severe test of LLM student avatars as a substitute for human pilot data in assessment development — Open Science Framework2026-07-31Structural and Electrical Properties of n- and p-type Silicon and Tellurium-doped Silicon after 2 MeV Electron Irradiation — Semiconductors2026-07-30Correcting Mode Collapse in Silicon Sampling with Semantic Similarity Rating — arXiv (Cornell University)2026-07-30Correcting Mode Collapse in Silicon Sampling with Semantic Similarity Rating — arXiv (Cornell University)2026-07-30Code and Data for "Correcting Mode Collapse in Silicon Sampling with Semantic Similarity Rating" — Zenodo (CERN European Organization for Nuclear Research)2026-07-30Code and Data for "Correcting Mode Collapse in Silicon Sampling with Semantic Similarity Rating" — Zenodo (CERN European Organization for Nuclear Research)2026-07-30Code and Data for "Correcting Mode Collapse in Silicon Sampling with Semantic Similarity Rating" — Zenodo (CERN European Organization for Nuclear Research)2026-07-30Study planning is better served by Monte Carlo simulation than AI-generated participants —2026-07-30Agentic Vehicle Acceptance: Alignment-Gate Registration, Code, and Synthetic Data —2026-07-28Can Synthetic Participants Reproduce Human Experimental Results? Evidence from Fischer et al.'s (2008) Selective Exposure and Information Quantity Paradigm — Open Science Framework2026-07-28Evaluating 10B- and 11B-implanted standards for the analysis of boron in silicon with ultralow energy SIMS — Journal of Vacuum Science & Technology A Vacuum Surfaces and Films2026-07-28Vertical Interconnects Using Magnetically Aligned Anisotropic Conductive Adhesive for RF Packaging — IMAPSource Proceedings2026-07-28Instruction-Tuned Language Models Cannot Sample from Distributions They Can Describe — arXiv (Cornell University)2026-07-28Instruction-Tuned Language Models Cannot Sample from Distributions They Can Describe — arXiv (Cornell University)2026-07-27Synthetic survey participants cannot substitute for sample diversity in policy —2026-07-27Reason-Mediated Behavioral Models for Auditing LLM Social Simulators — arXiv (Cornell University)2026-07-27Reason-Mediated Behavioral Models for Auditing LLM Social Simulators — arXiv (Cornell University)2026-07-25Silicon sampling em pacientes psiquiátricos: replicação metodológica de Fisher 2017 —2026-07-24The Relationship Between Environmental Awareness and Waste Segregation Practices Among Students of Gaudencio Abordo Memorial National High School in Barangay Bangcal, Agutaya, Palawan — DIT ADS International Multidisciplinary Research Journal2026-07-23Impact of mechanical scratches on the structural, thermal, and electronic properties of monocrystalline silicon — Journal of Applied Physics2026-07-16Synthetic Participants for Real Interventions: Augmenting Behavioral RCTs with Fine-Tuned LLMs — OSF Preprints (OSF Preprints)2026-07-15Can Large Language Model Synthetic Respondents Anticipate Human Preferences? An Out-of-Sample Test in a Preregistered Discrete Choice Experiment —2026-07-15Substitutability and Complementarity of Ecolabels in the Presence of Conflicting Brand Messaging: A Discrete Choice Experiment with Process-Tracing Measures —2026-07-14Community Perceptions of the Impact of Coastal Development on Mangrove Ecosystem Sustainability in the Municipality of Pilar, Bataan — DIT ADS International Multidisciplinary Research Journal2026-07-14Scenario-based sample-size requirements for stable hierarchical AHP rankings: A computational simulation and empirically anchored framework — Operations Research Perspectives2026-07-13WarehouseGame Dataset: Behavioral Telemetry from Gamified Logistics Training — Zenodo (CERN European Organization for Nuclear Research)2026-07-13WarehouseGame Dataset: Behavioral Telemetry from Gamified Logistics Training — Zenodo (CERN European Organization for Nuclear Research)2026-07-13Simulating Sensitivity: A Simpson’s Paradox in Large Language Model-Based Creative Practitioner Modeling — Advanced Institute of Industrial Technology2026-07-092 µm wavelength nanosecond laser welding of silicon — Optical Materials Express2026-07-06Plausible but Not Valid: A Psychometric Audit of LLMs as Synthetic Survey Respondents — arXiv (Cornell University)2026-07-03Evaluation Criteria for Synthetic Respondents in Qualitative Research: Limits of Applicability — Inter2026-07-03Silicon Sampling via Cross-Survey Transfer — arXiv (Cornell University)2026-07-03Who Is Missing from the Silicon Sample? Deafness, Sign Language, and the Epistemic Architecture of Trained Models —2026-07-02Can LLM-driven synthetic participants help user research? A case study in designing augmented reality for education — Proceedings of the Design Society2026-07-02Who Is Missing from the Silicon Sample? Deafness, Sign Language, and the Epistemic Architecture of Trained Models — SocArXiv (OSF Preprints)2026-07-01Large Language Models as Surrogate Respondents in Capturing Tacit, Experience-Embedded Knowledge — Academy of Management Proceedings2026-07-01Silicon Sampling via Cross-Survey Transfer — National Sun Yat-sen University2026-07-01The Threat of Analytic Flexibility in Using Large Language Models to Simulate Human Data — Advances in Methods and Practices in Psychological Science2026-07-01Principles of Carbon Scaffold Selection for Silicon/Carbon Composite Battery Anodes — Chemistry of Materials2026-07-01PFIB-Based Sample Preparation Workflow for a MEMS Tensile Platform Enabling Correlative In-Situ SEM and TEM Studies — Microscopy and Microanalysis2026-07-01The Hydrogen Effect: Probing Silicon Bonding and Barrier Integrity in MEMS via STEM–EELS — Microscopy and Microanalysis2026-06-30tikhomirno/silicon-sample-submission: v1 — Zenodo (CERN European Organization for Nuclear Research)2026-06-30tikhomirno/silicon-sample-submission: v1 — Zenodo (CERN European Organization for Nuclear Research)2026-06-30Визначення впливу електрогідравлічного методу на дроблення металургійного кремнію — The Scientific Issues of Ternopil Volodymyr Hnatiuk National Pedagogical University Serie…2026-06-30Determination of the effect of the electrohydraulic method on the crushing of metallurgical silicon — Eastern-European Journal of Enterprise Technologies2026-06-30Structural and electrical properties of PSi/CNT junction — Modern Electronic Materials2026-06-29Designing, Evaluating, and Using Synthetic Participants in Behavioural Public Policy: The PATH Checklist — PsyArXiv (OSF Preprints)2026-06-29Designing, Evaluating, and Using Synthetic Participants in Behavioural Public Policy: The PATH Checklist —2026-06-29Tastes without distinction: silicon samples and the synthetic construction of tastes — arXiv (Cornell University)2026-06-29Tastes without distinction: silicon samples and the synthetic construction of tastes — arXiv (Cornell University)2026-06-28Synthetic Participants for Real Interventions: Augmenting Behavioral RCTs with Fine-Tuned LLMs — University of Oxford2026-06-26Revealing the Hidden Stress Field and Its Thermal Input Dependence in Femtosecond Laser–Processed Silicon Photonic Chip Substrates via Weak Measurement — Nanophotonics2026-06-24Data for Evaluating Large Language Models as Artificial Patients: A Multilingual Silicon Sampling Study in Oncology Decision-Making — Harvard Dataverse2026-06-23The Collapse of Heterogeneity in Silicon Philosophers — Adobe Systems (United States)2026-06-19Is generative AI WEIRD? Considerations on the use of silicon samples in sensory and consumer research — Food Quality and Preference2026-06-15Is Llm-Based Synthetic Data Research In Information Systems Replicable? — Journal of the Association for Information Systems2026-06-15A comparison of human and LLM-simulated participants in a writing style task — arXiv (Cornell University)2026-06-15A comparison of human and LLM-simulated participants in a writing style task — arXiv (Cornell University)2026-06-12When Synthetic Respondents Reverse Your Findings — OSF Preprints (OSF Preprints)2026-06-12"Higher-Education Governance Dataset: Organizational Justice, Academic Freedom, Organizational Silence, Administrative Power ..." — IEEE DataPort2026-06-12"HEGov-172K: A Higher-Education Governance Dataset for Organizational Behavior and Governance Research" — IEEE DataPort2026-06-11Valid Inference with Synthetic Data via Task Exchangeability — arXiv (Cornell University)2026-06-10WarehouseGame Dataset: Behavioral Telemetry from Gamified Logistics Training — Zenodo (CERN European Organization for Nuclear Research)2026-06-10WarehouseGame Dataset: Behavioral Telemetry from Gamified Logistics Training — Zenodo (CERN European Organization for Nuclear Research)2026-06-10Structural and Phase States of Rhodium Doped Silicon Monocrystals — East European Journal of Physics2026-06-09One Year of Outdoor Performance of Perovskite/Perovskite/Silicon Triple‐Junction Solar Cell — Solar RRL2026-06-08Detection of processing depth and penetration based on recoil force induced by laser ablation — Optics & Laser Technology2026-05-31Simulating Lay Health-Seeking Behavior with LLM Personas and Illness Vignettes: Reproducibility, Prompt Sensitivity, and Slice Dependence — Qeios2026-05-30tkhk405/Do-LLMs-Learn-Belief-Networks: v1.0.0: PLOS ONE submission version — Zenodo (CERN European Organization for Nuclear Research)2026-05-30tkhk405/Do-LLMs-Learn-Belief-Networks: v1.0.0: PLOS ONE submission version — Zenodo (CERN European Organization for Nuclear Research)2026-05-29The Jury Methods Package: Synthetic Survey Respondents on Pew ATP Wave 158 — Zenodo (CERN European Organization for Nuclear Research)2026-05-29The Jury Methods Package: Synthetic Survey Respondents on Pew ATP Wave 158 — Zenodo (CERN European Organization for Nuclear Research)2026-05-28Assessing the Reliability of Persona-Conditioned LLMs as Synthetic Survey Respondents — University of Pisa2026-05-25Ableism, Disablism, and other Ability Judgment terms: Mapping out the Academic Literature to support ability judgment justice research, teaching and advocacy —2026-05-21Impact of illumination on the effective diffusivity of hydrogen in n- and p-type crystalline silicon — Solar Energy Materials and Solar Cells2026-05-19Probing Political Ideology in Large Language Models: How Latent Political Representations Generalize Across Task and Modality — University of Chicago2026-05-19Probing Political Ideology in Large Language Models: How Latent Political Representations Generalize Across Task and Modality — Knowledge@UChicago (University of Chicago)2026-05-18What Would GPT Click: Practical Effects of Human-AI Behavioral Misalignment and the Cost of Synthetic Participants in User Experience — arXiv (Cornell University)2026-05-18What Would GPT Click: Practical Effects of Human-AI Behavioral Misalignment and the Cost of Synthetic Participants in User Experience — arXiv (Cornell University)2026-05-17The Synthetic Mind Charter: Developmental Agency-Span Safety and Substrate-Invariant Agency Structure — Zenodo (CERN European Organization for Nuclear Research)2026-05-17The Synthetic Mind Charter: Developmental Agency-Span Safety and Substrate-Invariant Agency Structure — Zenodo (CERN European Organization for Nuclear Research)2026-05-17tkhk405/Do-LLMs-Learn-Belief-Networks: v0.2.1: Fix baseline temperature to match paper — Zenodo (CERN European Organization for Nuclear Research)2026-05-16P-SCA: Prompt Specification Curve Analysis — Zenodo (CERN European Organization for Nuclear Research)2026-05-16P-SCA: Prompt Specification Curve Analysis — Zenodo (CERN European Organization for Nuclear Research)2026-05-15P-SCA: Prompt Specification Curve Analysis — Zenodo (CERN European Organization for Nuclear Research)2026-05-15Marginal Alignment Does Not Guarantee Joint-Distribution Fidelity: An Official-Reference Audit of Nemotron-Personas-Korea with Cross-Locale Replication — arXiv (Cornell University)2026-05-15Marginal Alignment Does Not Guarantee Joint-Distribution Fidelity: An Official-Reference Audit of Nemotron-Personas-Korea with Cross-Locale Replication — arXiv (Cornell University)2026-05-08Hierarchy of Personas: Investigating Variation in Synthetic LGBTQ-Related Survey Responses by Persona-Prompted Large Language Models —2026-05-08Can Synthetic Participants Reproduce Human Experimental Results? Evidence from Fischer et al.'s (2008) Selective Exposure and Information Quantity Paradigm —2026-05-07Review of: "Simulating Lay Health-Seeking Behavior with LLM Personas and Illness Vignettes: Reproducibility, Prompt Sensitivity, and Slice Dependence" — Universidade Luterana do Brasil2026-05-05AI and Research Methods — New York University2026-05-01Multimodal Large Language Models as Synthetic Participants in Video-Based Studies: An Evaluation — arXiv (Cornell University)2026-05-01Multimodal Large Language Models as Synthetic Participants in Video-Based Studies: An Evaluation — arXiv (Cornell University)2026-05-01Electrophysical and Photoelectric Properties, and Elemental Composition of Silicon Doped with Selenium Impurity Atoms — Elektronnaya Obrabotka Materialov2026-05-01Adiabatic Photonic Nanotapers reveal black silicon anti-reflection properties — AIP Publishing2026-05-01Adiabatic Photonic Nanotapers reveal black silicon anti-reflection properties — AIP Publishing2026-05-01Metallisation-associated degradation of silicon coated with thin dielectric layers — Semiconductor Science and Technology2026-05-01Adiabatic photonic nanotapers reveal black silicon antireflection properties — Journal of Applied Physics2026-04-27A Practical Guide to PsycSim: Simulating Pilot Studies with AI for Experimental Research — USF Scholarship Repository (University of San Francisco)2026-04-26Can large language models recover economic survey responses? — Aaltodoc (Aalto University)2026-04-26The Collapse of Heterogeneity in Silicon Philosophers — arXiv (Cornell University)2026-04-26The Collapse of Heterogeneity in Silicon Philosophers — arXiv (Cornell University)2026-04-25Thermal desorption spectroscopy studies of xenon implanted into germanium — Advances in Science and Technology – Research Journal2026-04-24Replication Data for: When Wording Becomes Variance: Prompt Specification Error in LLM-Based Consumer Surveys — Harvard Dataverse2026-04-24Experimental study on the effects of nanosecond green laser on silicon micromachining parameters — Optics & Laser Technology2026-04-17Where do synthetic respondents take consumer research? — Zenodo (CERN European Organization for Nuclear Research)2026-04-17Where do synthetic respondents take consumer research? — Zenodo (CERN European Organization for Nuclear Research)2026-04-16Data for Metallisation-associated degradation of silicon coated with thin dielectric layers — Warwick Research Archive Portal (University of Warwick)2026-04-09Boundaries of understanding for synthetic respondents: a new knowledge-production framework, methodological risks, and data validation standards — Sociopolitical sciences2026-04-08Leaving Insight to Digital Twins? Promise, Progress and Limits of Synthetic Respondents — NIM Marketing Intelligence Review2026-04-08Your Next Respondent Might Be an LLM: Guidelines for Using Silicon Samples in Marketing Research — NIM Marketing Intelligence Review2026-04-08Restoring Heterogeneity in LLM-based Social Simulation: An Audience Segmentation Approach — arXiv (Cornell University)2026-04-08Restoring Heterogeneity in LLM-based Social Simulation: An Audience Segmentation Approach — arXiv (Cornell University)2026-04-03Using large language models as a source of human behavioral data in social science experiments —2026-04-02BEHAVIORAL ECONOMICS MEETS AI: EVALUATING LLMS AS SYNTHETIC PARTICIPANTS IN SAVINGS TEMPORAL FRAMING EXPERIMENT — eCommons (Cornell University)2026-04-01AI Agent Prevalence and Data Quality Across Multiple Online Sample Providers —2026-04-01AI Agent Prevalence and Data Quality Across Multiple Online Sample Providers — PsyArXiv (OSF Preprints)2026-04-01AI Agent Prevalence and Data Quality Across Multiple Online Sample Providers —2026-04-01Questionnaire Survey on Perceived Flood Risk — Zenodo (CERN European Organization for Nuclear Research)2026-04-01Questionnaire Survey on Perceived Flood Risk — Zenodo (CERN European Organization for Nuclear Research)2026-04-01Time-resolved non-contact THz diagnostics of impurity state in different sulfur-implanted/laser-annealed silicon samples — The Journal of Chemical Physics2026-04-01Time-resolved non-contact THz diagnostics of impurity state in different sulfur-implanted/laser-annealed silicon samples — AIP Publishing2026-04-01Time-resolved non-contact THz diagnostics of impurity state in different sulfur-implanted/laser-annealed silicon samples — AIP Publishing2026-03-31Exploring Business Models for Metaverse-Based Korean Language Education Industry: A Multi-Stakeholder Analysis Using the Synthetic Respondent Methodology — Journal of Korea Culture Industry2026-03-30Integration of Artificial Intelligence-Based Marketing Technologies into the Strategic Management System of a Company — Management Sciences2026-03-29Simulating Lay Health-Seeking Behavior with LLM Personas and Illness Vignettes: Reproducibility, Prompt Sensitivity, and Slice Dependence — Qeios2026-03-27Beyond linearity: reimagining AI as a participant in circular bioeconomies — Journal of Biological Engineering2026-03-25OKKA.AI Expanded Intelligence Series: A Study in Individual Sovereignty, Cognitive Expansion, and Collective Governance — Zenodo (CERN European Organization for Nuclear Research)2026-03-25OKKA.AI Expanded Intelligence Series: A Study in Individual Sovereignty, Cognitive Expansion, and Collective Governance — Zenodo (CERN European Organization for Nuclear Research)2026-03-24The Mindsets of Amazon Shoppers: A Mind Genomics and AI-Based Behavioral Backgrounder — Scholastic Case Reports2026-03-21A scale for detecting LLM-generated responses in online survey research —2026-03-21A scale for detecting LLM-generated responses in online survey research — PsyArXiv (OSF Preprints)2026-03-20Visualising Collective Reasoning in Synthetic Times: The Bard and Institutional Memory — Zenodo (CERN European Organization for Nuclear Research)2026-03-20Visualising Collective Reasoning in Synthetic Times: The Bard and Institutional Memory — Zenodo (CERN European Organization for Nuclear Research)2026-03-17Call for Papers: Generative Artificial Intelligence, Synthetic Data, and Synthetic Respondents in Marketing and Market Research — Zenodo (CERN European Organization for Nuclear Research)2026-03-17Call for Papers: Generative Artificial Intelligence, Synthetic Data, and Synthetic Respondents in Marketing and Market Research — Zenodo (CERN European Organization for Nuclear Research)2026-03-16A scale for detecting LLM-generated responses in online survey research —2026-03-14A scale for detecting LLM-generated responses in online survey research —2026-03-14Study of the Formation of Radiation Defects in Irradiated Silicon Samples, Doped with Chromium Atoms — East European Journal of Physics2026-03-14Effect of Impurity Clusters on Optical Properties of Nickel and Copper Doped Single-Crystal Silicon — East European Journal of Physics2026-03-12A scale for detecting LLM-generated responses in online survey research —2026-03-11A scale for detecting LLM-generated responses in online survey research —2026-03-10Synthetic Participants Generated by Large Language Models: A Systematic Literature Review — Research Square2026-03-10Comparison of biaxial mechanical and microstructural properties between human femoral arteries and surrogate models for stent development — Journal of the mechanical behavior of biomedical materials/Journal of mechanical behavior…2026-03-06The threat of synthetic respondents extends to clinical mental health screening —2026-03-06Electron-irradiation effects on Raman and infrared spectra of Te-doped n- and p-type silicon — Physica B Condensed Matter2026-03-04Which AI for silicon sampling? A comparative evaluation of generative and neuro-symbolic approaches — Zenodo (CERN European Organization for Nuclear Research)2026-03-04The Accuracy of Silicon Samples in Market Research: Can AI Respondents Replace Humans? — Zenodo (CERN European Organization for Nuclear Research)2026-03-03Supplementary Information — AIP Publishing2026-03-03Supplementary Information — AIP Publishing2026-03-02Generative AI in Participatory Urban Planning: Synthetic Inhabitants and Experts — Land2026-03-02Synthetic personas distort the structure of human belief systems — SocArXiv (OSF Preprints)2026-03-01Obtaining Silicon Samples with Different Crystallographic Directions Diffusion-Doped with Impurity Manganese Atoms — Elektronnaya Obrabotka Materialov2026-03-01Raman Spectoroscopy of Silicon Single Crystals, Doped with Palladium and Irradiated by GammaRays — Journal of Ovonic Research2026-03-01Improvement of PN photodiode performance through the optimization of black silicon nanostructure geometry using FDTD simulation — Results in Optics2026-02-27Simulating Lay Health-Seeking Behavior with LLM Personas and Illness Vignettes: Reproducibility, Prompt Sensitivity, and Slice Dependence — Qeios2026-02-26Beyond human proxies: The roles and usefulness of large language models in user research for mobility service development — Transportation Research Interdisciplinary Perspectives2026-02-26Synthetic personas distort the structure of human belief systems —2026-02-19In silico reads mixture of 100 Angiosperms353 target capture arrays for testing species identification — DRYAD2026-02-18Understanding Parent Perspectives on Vedic Principles of Digestion and Modern Gut-Brain Science: A Mind Genomics Exploration Using Synthetic Respondents —2026-02-17This human study did not involve human subjects: Validating LLM simulations as behavioral evidence — arXiv (Cornell University)2026-02-17This human study did not involve human subjects: Validating LLM simulations as behavioral evidence — arXiv (Cornell University)2026-02-16Large Language Models as Synthetic Respondents for Economic Preferences: A Global Audit — Research Square2026-02-10Stochastic Parrots or Singing in Harmony? Testing Five Leading LLMs for their Ability to Replicate a Human Survey with Synthetic Data — arXiv (Cornell University)2026-02-10Stochastic Parrots or Singing in Harmony? Testing Five Leading LLMs for their Ability to Replicate a Human Survey with Synthetic Data — arXiv (Cornell University)2026-02-06Assessing the Reliability of Persona-Conditioned LLMs as Synthetic Survey Respondents — arXiv (Cornell University)2026-02-06Assessing the Reliability of Persona-Conditioned LLMs as Synthetic Survey Respondents — arXiv (Cornell University)2026-01-28Robust Spectral Signal Processing-Based Framework for Infrared Interferometry-Driven SiC Epitaxial Thickness Estimation — Northwestern Polytechnical University2026-01-16Large Language Models as Simulative Agents for Neurodivergent Adult Psychometric Profiles — arXiv (Cornell University)2026-01-16Large Language Models as Simulative Agents for Neurodivergent Adult Psychometric Profiles — arXiv (Cornell University)2026-01-16Influence of SnO2 Prepared by Rosemary Extract to Improve Porous Silicon for Photodetector Applications — Zenodo (CERN European Organization for Nuclear Research)2026-01-16Influence of SnO2 Prepared by Rosemary Extract to Improve Porous Silicon for Photodetector Applications — Zenodo (CERN European Organization for Nuclear Research)2026-01-14Can AI Conduct Research: A Pragmatic Experiment —2026-01-13Automatic selection of dispersion models in spectroscopic ellipsometry using a hierarchical genetic algorithm — Springer Link (Chiba Institute of Technology)2026-01-11Synthetic Policymaking: Using LLM-Generated Personas to Predict Public Views on Existing and Prospective Policies in non-WEIRD Countries — PsyArXiv (OSF Preprints)
CONTINUE EXPLORING