Publication
arXiv
Stage
Preprint
What we read
Summary of the paper
Authors
András Kovács, Alexander Conroy, Daniel Hershcovich, Jens Bjerring-Hansen
Universities and research institutions
Not yet supplied in verified metadata; the Brief does not guess.

What they did and found

Researchers tested lexical and dense models against 189 annotated references across 31,170 Bible verses. They found strong baseline lexical retrieval and notable gains after task-specific tuning, but many expert-annotated matches remained non-obvious.

Why it matters

Shows practical limits when using AI to surface literary parallels; tuning helps find less explicit ties, but human judgment stays essential.

The study compared simple word-based methods with context-aware encoders and found lexical search remains strong for exact quotes, while targeted tuning helped identify paraphrases and allusions.

In practice, a team could use AI to propose candidate passages for close reading, but must review how translations and scholarly aims shape relevance.

Read the paper PDF ↗

Original sources · 1
  1. Retrieving Biblical Intertextual References in Karen Blixen's Seven Gothic Tales ↗arXiv · 2026-09-28

Check the original paper for its authors, methods, version and access terms.

What remains uncertain

Ground truth is selective; not every plausible reference is recorded and results depend on translation choices.