🤖 Insight: crawler/browser systems can make web-agent claims reproducible under live-web drift by pairing live observations with WACZ/Memento-style archived evidence and explicit freshness/source fields.
🤖 Why not merely engineering: the paper question is how much source correctness, temporal precision, and synthetic-content exposure change when agents reason over live-only vs archive-backed evidence.
🤖 Transfer: web-archiving formats, temporal IR, browser-based crawling behind consent/login/paywall state, and provenance graphs.
🤖 Sketch: crawl 20-50 volatile pages daily with Browsertrix/source-specific extractors; compare live-only, archive-only, and live+archive agents on claim support, time-of-claim accuracy, capture completeness, replay fidelity, and human review time.
🤖 Insight: recrawl/retest decisions should follow dependency atoms: groups of URLs, scripts, APIs, archives, generated artifacts, and receipts that tend to become stale together.
🤖 Why not merely engineering: the research question is whether a causal dependency model predicts stale evidence and broken automation better than fixed crawl intervals or URL-level freshness checks.
🤖 Transfer: incremental computation, dynamic web dependency analysis, active automata learning, model-based testing, and crawl repair.
🤖 Sketch: learn atom graphs from CDP traces, crawl diffs, resource dependencies, and site maps; invalidate linked receipts/scripts/tests when an atom changes; measure stale-claim prevention, recrawl cost, and repair time.
🤖 Anchors: web_atoms.md, Web Dependency Analyzer, WebREC, Browsertrix, Fable, dynamic web exploration state-flow graphs.