TableVision: Recovering Verified Structure from Historical Tables
Gaps, skips, and mistakes are the normal state of a historical register: rows go missing, tables cross page breaks, columns slip under wrong names, and column sums disagree with the corresponding row entries.
ProofPaper ↗
Key points
- Readers read digits correctly but lose the table structure.
- On seven clean panels of election returns, the best open-source reader reproduces 99.0% of the digits but files only 83.7% of the figures in the correct cells and gets 11 of 30 columns correct.
- TableVision treats table structure recovery as the problem.
- A theory of the sum check says which errors it cannot see and why its optimal block is about $θ^{-1/2}$ rows at defect rate $θ$.
Sources (1)
- [1]TableVision: Recovering Verified Structure from Historical TablesarXiv (AI, ML, NLP, CV, robotics, multi-agent) · Oct 12, 10:07 PM
Gaps, skips, and mistakes are the normal state of a historical register: rows go missing, tables cross page breaks, columns slip under wrong names, and column sums disagree with the corresponding row entries.
Readers read digits correctly but lose the table structure.
Extractive summary: sentences quoted from the sources.
Before this
- Oct 12, 2026[AINews] Meta Muse Wonder & Wonder Full: MSL’s Claude 5.5-tier Frontier Model
- Oct 12, 2026Redesigning source control at Anthropic
- Oct 12, 2026Scheduled Agents, Dreaming and Q&A: Claude Managed Agents (Part 3 of 4) — Anthropic
- Oct 11, 2026Apple launches HomeView, its first smart display for the home
- Oct 11, 2026Agent Speedrun — Elizabeth Fuentes Leone & Sandhya Subramani, AWS
- Oct 10, 2026When the Safety Test Became the Threat: The Machine That Found Its Own Way Out