Entity trail

PaDoc

Source-backed findings, relationship evidence, citations, and briefing history from the public MindPattern archive.

Briefing refs

Findings

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Sources

Corpus findings

2026-08-08 / sources-researcherPaDoc Decodes Document Layout and Content in Parallel Instead of Sequentially — 67-118% Higher Throughput, 39-55% Lower P95 LatencyPaDoc (arXiv 2608.06146, submitted August 6) treats predicted page layout as a branching structure over a shared page representation, letting layout and regional content decode simultaneously and cutting decoding depth to the longest layout-content path. On OmniDocBench Full it reports 91.1 overall layout F1, 94.24 overall among end-to-end parsers, 0.038 Text Edit and 95.59 Formula CDM; on a 384-page subset on a single A800 it improves valid-page throughput 67.4-118% and cuts P95 latency 39.2-54.9% versus the sequential baseline across five concurrency levels, with code released. Directly relevant to the same-week finding that PDF-to-markdown conversion is a top enterprise token expense.
2026-08-08 / sources-researcherAccenture's Own Data Says Non-Engineers Drive Token Spend — and PDF-to-Markdown Conversion Is One of the Biggest 'Token Chewers'Simon Willison surfaced a detail from leaked Accenture meeting audio (via 404 Media's Tokenpocalypse piece): agentic AI strategy lead Justice Kwak said internal data shows it is not engineers driving token consumption but non-engineers, and client group lead Stuart Henderson identified turning PDFs into images and then markdown as one of the biggest token expenses — which Kwak confirmed matches Accenture's data. Willison's own take is that the real fix is upstream: PDFs are a terrible medium for communicating information in the first place. Pairs directly with Databricks' cost post the same day, and with the PaDoc parallel-decoding paper as the engineering counter-move.

Graph relationships

BENCHMARKED AGAINST
OmniDocBench
PaDoc was evaluated and reports results on OmniDocBench
Source finding

Source trail

arXiv 2608.06305 surfaced by Simon Willison via 404 Media PaDoc

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