pith:HWGQFLBN
BBC: Improving Large-k Approximate Nearest Neighbor Search with a Bucket-based Result Collector
A bucket-based collector organizes ANN candidates by distance to speed up large-k queries in quantization indexes by up to 3.8 times.
arxiv:2604.01960 v3 · 2026-04-02 · cs.DB · cs.DS
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\usepackage{pith}
\pithnumber{HWGQFLBN273CPKSDZF2DDEYGUB}
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Record completeness
Claims
BBC accelerates existing quantization-based ANN methods by up to 3.8x at recall@k = 0.95 for large-k ANN queries.
That organizing candidates into distance-based buckets reduces ranking costs and cache misses enough to offset any overhead, and that the two tailored re-ranking algorithms accelerate re-ranking across different quantization methods without harming accuracy.
BBC improves large-k ANN efficiency via bucketed candidate buffers and optimized re-ranking, delivering up to 3.8x speedup at recall@k=0.95.
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Receipt and verification
| First computed | 2026-06-03T01:05:12.435297Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
3d8d02ac2dd7f627aa43c974319306a05afc69ae19fec5df9608662f9bc63f8a
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/HWGQFLBN273CPKSDZF2DDEYGUB \
| jq -c '.canonical_record' \
| python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: 3d8d02ac2dd7f627aa43c974319306a05afc69ae19fec5df9608662f9bc63f8a
Canonical record JSON
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"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
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"title_canon_sha256": "60bab5b969a9b1453a4475c9b077b702d588c19ffa20fc516e462ff9be81bf86"
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