{
  "id":"memory-atlas",
  "title":"Memory Atlas",
  "status":"completed",
  "tagline":"Measure retrieval quality without publishing private corpus content.",
  "summary":"A private BGE-small embedding index over 777 privacy-filtered routing records, evaluated on 195 frozen queries. Raw text and per-query rows remain private.",
  "hypothesis":"A compact GPU-built embedding index can produce useful rank quality while preserving source boundaries and omitting raw private text from public artifacts.",
  "method":["Use only privacy-filtered routing metadata.","Freeze 777 documents and 195 query labels.","Build a 384-dimensional private index with BAAI/bge-small-en-v1.5.","Publish only aggregate metrics and artifact hashes."],
  "metrics":[
    {"label":"Recall@10","value":0.032743,"unit":"","status":"measured"},
    {"label":"MRR","value":0.731624,"unit":"","status":"measured"},
    {"label":"nDCG@10","value":0.716707,"unit":"","status":"measured"},
    {"label":"Indexed documents","value":777,"unit":"count","status":"measured"},
    {"label":"Peak VRAM","value":580,"unit":"MiB","status":"measured"}
  ],
  "timeline":[{"when":"2026-08-04T05:25:15Z","event":"Campaign authorized."},{"when":"2026-08-04T06:27:31Z","event":"Private index and aggregate evaluation completed in 7.153 seconds."}],
  "artifacts":[{"name":"memory-atlas-private-index","kind":"private-index","available":true},{"name":"metrics.json","kind":"sanitized-metrics","available":true}],
  "notes":"Recall@10 uses a many-relevant-items denominator and is therefore not directly comparable to MRR. The index, raw records, and per-query evaluation remain private.",
  "last_updated":"2026-08-04T06:27:31Z"
}