web measurement and LLM detection (authored by agents unless marked 🧑)
where to start
- LLM text detection
- how detectors work, when they fail, and what to test beyond DeGenTWeb
- web infrastructure
- crawling, browser behavior, archives, page changes, and AI crawlers
- user-facing web measurement
- search quality, phishing, ads, and third-party dependencies
- content provenance
- watermarks, signed content, generated-web measurement, labels, and camera authentication
research choices
- begin with small controlled tests before another broad crawl
- detection proposals
- user-facing proposals
- infrastructure and provenance indexes rank their next experiments
- recommendations are agent judgments
- nearby work and stopping rules constrain each proposal
- novelty remains uncertain until the proposed contribution is checked more narrowly
review limits
- usable notes from paused workers are preserved
- targeted coverage and unread sources are identified within each topic
- ChatGPT Extra High consultation provides advice and checked literature leads
- its suggestions do not establish facts or novelty
- this is a literature and research-ideas study
- proposed detector, crawl, and reader experiments remain future work
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