Pith Number
pith:M2N5DGBI
pith:2016:M2N5DGBIJGIILYRRRY7FGQGJXO
not attested
not anchored
not stored
refs pending
Finding Needle in a Million Metrics: Anomaly Detection in a Large-scale Computational Advertising Platform
arxiv:1602.07057 v1 · 2016-02-23 · cs.AI · cs.CY · cs.DC
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{M2N5DGBIJGIILYRRRY7FGQGJXO}
Prints a linked badge after your title and injects PDF metadata. Compiles on arXiv. Learn more · Embed verified badge
Record completeness
1
Bitcoin timestamp
2
Internet Archive
3
Author claim
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claim
4
Citations
5
Replications
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Portable graph bundle live · download bundle · merged
state
The bundle contains the canonical record plus signed events. A mirror can host it anywhere and recompute the same
current state with the deterministic merge algorithm.
Receipt and verification
| First computed | 2026-05-18T01:20:07.285475Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
669bd19828499085e2318e3e5340c9bb8f6c278b869386193c4e5a0f33fd1b96
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/M2N5DGBIJGIILYRRRY7FGQGJXO \
| 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: 669bd19828499085e2318e3e5340c9bb8f6c278b869386193c4e5a0f33fd1b96
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "97c4a1e0129f9f180b1a825cb9e19f38f02626c4d323105175d54bad57136cd4",
"cross_cats_sorted": [
"cs.CY",
"cs.DC"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.AI",
"submitted_at": "2016-02-23T07:07:26Z",
"title_canon_sha256": "3e9888219ec69758178f86ae1922f22c3f659d535066b506c15f512ef2af47d5"
},
"schema_version": "1.0",
"source": {
"id": "1602.07057",
"kind": "arxiv",
"version": 1
}
}