paperAugust 2026Unreviewed

AI-Assisted Extraction of Follow-up Observations from GCN Circulars in Astro-COLIBRI

F. Schüssler, S. Bisero, M. Cellier, A. Ciric, B. Cornejo, I. Jaroschewski, A. Alkan, W. Kiendr'eb'eogo, A. Saint-Paul

Abstract

We present a new Astro-COLIBRI component that converts free-text GCN Circulars into structured, event-linked follow-up records and combines them with structured reports submitted directly by the community. A continuously running Circular listener associates new reports with transient events, applies deterministic pre-analysis, and invokes a schema-constrained large language model extraction step for photometry, contacts, redshifts, and other reported results and metadata. The resulting records a

Framework mappings

MITRE ATLAS

AML.T0024.002Extract AI Model

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Cite

@misc{schussler2026aiassisted,
  title = {{AI-Assisted Extraction of Follow-up Observations from GCN Circulars in Astro-COLIBRI}},
  author = {F. Schüssler and S. Bisero and M. Cellier and A. Ciric and B. Cornejo and I. Jaroschewski and A. Alkan and W. Kiendr'eb'eogo and A. Saint-Paul},
  year = {2026},
  month = aug,
  eprint = {2608.23270},
  archivePrefix = {arXiv},
  url = {https://www.semanticscholar.org/paper/99ff499a2c237cde2bfdbca646cc68e2a49c856e}
}