Pith Number
pith:3AUP27MB
pith:2017:3AUP27MB7NHIFMP33H5EKVPZT7
not attested
not anchored
not stored
refs pending
Is Big Data Sufficient for a Reliable Detection of Non-Technical Losses?
arxiv:1702.03767 v2 · 2017-02-13 · cs.LG · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{3AUP27MB7NHIFMP33H5EKVPZT7}
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 | 2026-05-18T00:39:36.976024Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
d828fd7d81fb4e82b1fbd9fa4555f99fcc971eb064a340fb56b0191a598f2938
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/3AUP27MB7NHIFMP33H5EKVPZT7 \
| 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: d828fd7d81fb4e82b1fbd9fa4555f99fcc971eb064a340fb56b0191a598f2938
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "b38b9563e67c3f132d3f03ee64b6e24083c757fa9ba65d0f4764e36fbe45115a",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2017-02-13T13:33:47Z",
"title_canon_sha256": "d1856ba5f3c8ffcb723c13a5657bd6de6d0b959ec77503e3e6de21f7fff92636"
},
"schema_version": "1.0",
"source": {
"id": "1702.03767",
"kind": "arxiv",
"version": 2
}
}