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Claude
d91673bb34
Point #1 (freshness): each run now fetches every discovered user's LATEST kind:3/10000/1984 once from their outbox (grouped by write relay in routeByOutbox; empty-tagged relays already count as write), instead of skipping users whose list is already cached. `done` still guarantees once-per-run and that a fresh download isn't repeated. Point #2 (memory): replace the HexKey-keyed, TrustEdge-object graph with a compact representation that scales to the whole network: - commons/wot: pubkeys interned to dense Int ids; edges stored in two CSR IntArray layouts (by target for scoring, by source for the worklist), each incoming entry packing source id + relation into one int. GrapeRank.compute returns a DoubleArray by node id (no boxed map at millions of nodes). TrustGraphBuilder is now stateful/streaming (addFollows/addMutes/addReports). Tests rewritten; the full-sweep cross-check still passes. - cli: contact lists stream straight into the builder as they arrive and the Event is discarded — the crawl never holds millions of kind:3 objects. Mutes and reports (far fewer) are fed from the store. Output de-interns the top-N. Validated: a fresh online run built a 108,961-user / 1.67M-edge graph and scored 83,613 users in a 4 GB heap. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01RWk2ZMrGBSr4WenKgwqmbB