pith:W5MATT5F
DynamicLogLog: Faster, Smaller, and More Accurate Cardinality Estimation
DynamicLogLog stores relative leading-zero counts with a shared exponent to cut memory by one-third while removing HyperLogLog's error spike and adding an early-exit mask.
arxiv:2603.27405 v2 · 2026-03-28 · cs.DS
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\usepackage{pith}
\pithnumber{W5MATT5FNNODZTWQUSGAA7BCBI}
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Record completeness
Claims
At 2,048 buckets with 512k simulations, DLL4's hybrid estimate achieves 1.830% mean and 1.834% peak absolute error using 1,024 bytes, compared to 1.84% mean and 34.1% peak for HLL using 1,536 bytes.
That the early-exit mask and hybrid blend maintain their reported accuracy and speed on real-world data distributions rather than only on the synthetic streams used in the 512k simulations.
DynamicLogLog cuts memory by 33%, speeds up queries over 10x in bandwidth-limited cases, and removes HyperLogLog's transition-region error spike while matching or beating accuracy.
Formal links
Receipt and verification
| First computed | 2026-05-18T03:09:22.479757Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
b75809cfa56b5c3cced0a48c007c220a0b6d5ffcf163517ae0ff920a7017aa4b
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/W5MATT5FNNODZTWQUSGAA7BCBI \
| 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: b75809cfa56b5c3cced0a48c007c220a0b6d5ffcf163517ae0ff920a7017aa4b
Canonical record JSON
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