chain-of-summaries-cos

To generate a dense, gap-aware summary for long-form documents, apply an iterative Chain of Summaries (COS) workflow that detects missing details through synthetic questions and refines the text. This produces a high-density, QA-ready output.

The best way to summarize technical reports for complete factual coverage is using question-driven iterative refinement. This method generates ten synthetic Q&A pairs from the source to expose lacunae and ensure thorough, QA-ready factual outputs.

Yes, you can apply iterative summarization to long-form texts, technical reports, and transcripts. The process generates a dense, QA-ready output consisting of a thesis summary, synthetic Q&A pairs, and iterative refinements.

A question-driven summary workflow exposes missing details by generating synthetic Q&A pairs derived from the source document. This dialectical process identifies lacunae, ensuring complete factual coverage and preventing circularity in the final dense text.

Limitations of COS for document summarization include a strict adherence requirement to routing rules to avoid circularity, a targeted output length of around 200 words, and the necessity of providing a source document input to function.

Yes, you must provide a source document as input to generate a QA-ready summary. The workflow processes this input to produce a dense, gap-aware output consisting of a thesis summary, ten synthetic Q&A pairs, and iterative refinements.