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Deep Research

Current stateActive researchstatus changed Nov 2

Latest change

On Nov 2, DR Pixel proposed page-native deep research: vision-language models read papers as page images, rather than OCR-extracted text.

Earlier contextThe story so far

Deep research agents are being redefined by what they read and how they search. In October, an arXiv paper proposed an iterative, state-centric agent for literature research, and another introduced a benchmark for reports centered on a source video.

editor-curated · source-linked

Arc

Oct 16Nov 2 · now
ITERATIVE SEARCH · Oct 16
Optimist Deep Research tracks evolving understanding across literature search
1 source · show source ▾
NEW INPUT · Oct 22
A benchmark for video-centered deep research reports
Evaluates agents given a source video rather than a text query.
1 source · show source ▾
NOW · Nov 2
DR Pixel reads papers as page images with vision-language models
1 source · show source ▾

What to watch — open questions

  • Does DR Pixel beat OCR-text baselines on figure- and table-heavy questions, and at what compute cost?
  • Do the video-centered and page-native benchmarks converge on a shared evaluation protocol?
  • Does iterative state tracking (Optimist) improve results on open-ended reports versus single-pass retrieval?
How this thread was built
editor wrote the arc · 3 beatswatcher 1 status change

Storylines are threaded mechanically from the feed: stories that share a distinctive anchor across multiple days and sources. Each item links to its original source. The evidence trace, current state, and open questions are written by the editor routine and refreshed whenever a new beat lands.