metadata
title: Paper Compression — Context Experiment
emoji: 📄
colorFrom: blue
colorTo: yellow
sdk: static
app_file: index.html
pinned: false
license: mit
Paper Compression — Prior-Context Experiment
Interactive visualization of an off-vs-on context experiment: does giving a memoryless reconstructor access to a paper's prior reference paper let it recover the target theorem from a shorter compressed summary?
- Target: On Language Generation in the Limit with Bounded Memory (arXiv 2605.30324)
- Context paper: Kleinberg & Mullainathan, Language Generation in the Limit (arXiv 2404.06757)
- Design: budgets {200, 300, 400} × {OFF, ON} × 3 trials
Tabs
- Report — narrative writeup and headline conclusion.
- Results — pass-rate chart, blinded comparative ranking, per-trial rank spread.
- Runs — browse each reconstruction's PDF alongside the evaluator's verdict.
Data
All artifacts live under data/:
scores.jsonl, ranking.json/.md, report.md, and pdfs/{budget}_{cond}_run{k}.pdf
plus matching .comparison.md evaluator verdicts.
Generated by the paper-compression harness. No model calls happen in the app — it only visualizes precomputed artifacts.