The Last Mile of Coding Agents for Long-Document Tasks: An Empirical Study on Clinical Trial Protocol Digitization
Empirical study of coding agents on long-document protocol digitization; a distinct topic from the later papers.
AI Storyline
3 items · 2 sources · 3 days
Operational story trace
Empirical Study
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Latest change
A new arXiv paper benchmarks recent LLMs on knowledge-graph-to-text generation against fine-tuned encoder-decoder models on standard benchmarks (Oct 22).
Earlier contextThe story so far
Three unrelated arXiv papers share only the phrase "empirical study" in their titles. They cover coding agents on clinical trial protocols (Oct 13), calibrated attack triage (Oct 21), and LLMs on knowledge-graph-to-text (Oct 22).
editor-curated · source-linked
Arc
Oct 13Oct 22 · now
PAPER 1 · Oct 13Coding agents tested on long-document clinical trial protocol digitization1 source · show source ▾
PAPER 2 · Oct 21VX-One studies calibration and unknown-attack handling in perimeter triage1 source · show source ▾
VX-One: Typed, Calibrated Decision Heads for Real-Time Perimeter Triage - An empirical study of unknown-attack honesty, cascade gray zones, and calibration under drift
Unrelated security-triage paper on calibrated decision heads, linked here only by title wording.
PAPER 3 · Oct 22LLMs compared on knowledge-graph-to-text generation benchmarks1 source · show source ▾
An Empirical Study of Recent Large Language Models for Knowledge Graph to Text Generation on Standard Benchmarks
Latest paper: recent LLMs evaluated for KG-to-text generation on standard benchmarks.
Day 1 Tuesday, Oct 13, 2026
The Last Mile of Coding Agents for Long-Document Tasks: An Empirical Study on Clinical Trial Protocol Digitization
Empirical study of coding agents on long-document protocol digitization; a distinct topic from the later papers.
Day 2 Wednesday, Oct 21, 2026
VX-One: Typed, Calibrated Decision Heads for Real-Time Perimeter Triage - An empirical study of unknown-attack honesty, cascade gray zones, and calibration under drift
Unrelated security-triage paper on calibrated decision heads, linked here only by title wording.
Day 3 Thursday, Oct 22, 2026
An Empirical Study of Recent Large Language Models for Knowledge Graph to Text Generation on Standard Benchmarks
Latest paper: recent LLMs evaluated for KG-to-text generation on standard benchmarks.
What to watch — open questions
- Do any of these preprints get independent replication or a follow-up from another group?
- Do the KG-to-text results hold on non-standard, domain-specific graphs?
How this thread was built
editor wrote the arc · 3 beats
Storylines are threaded mechanically from the feed: stories that share a distinctive anchor across multiple days and sources. Each item links to its original source. The evidence trace, current state, and open questions are written by the editor routine and refreshed whenever a new beat lands.