Autoresearch: Engineering an Auditable Agentic Research Loop for Event-Driven Earnings Prediction
- DOI
- 10.5281/zenodo.24022840
- Published
- 2026
- Container
- Not recorded
- Publisher
- Zenodo
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.5281/zenodo.24022840,
title = {Autoresearch: Engineering an Auditable Agentic Research Loop for Event-Driven Earnings Prediction},
author = {Trinity Global Capital LLC — Quantitative Research \& Agentic AI Systems Group},
year = {2026},
doi = {10.5281/zenodo.24022840},
url = {https://doi.org/10.5281/zenodo.24022840}
}RIS
TY - JOUR TI - Autoresearch: Engineering an Auditable Agentic Research Loop for Event-Driven Earnings Prediction AU - Trinity Global Capital LLC — Quantitative Research & Agentic AI Systems Group PY - 2026 DO - 10.5281/zenodo.24022840 UR - https://doi.org/10.5281/zenodo.24022840 ER -
APA
Group, T. G. C. L. —. Q. R. &. A. A. S. (2026). Autoresearch: Engineering an Auditable Agentic Research Loop for Event-Driven Earnings Prediction. https://doi.org/10.5281/zenodo.24022840