---
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](https://github.com/) harness. No model calls
happen in the app — it only visualizes precomputed artifacts.