Pith Number
pith:LK3MSPWJ
pith:2017:LK3MSPWJZO5FB64RQJARZMPWT2
not attested
not anchored
not stored
refs pending
Guided Machine Learning for power grid segmentation
arxiv:1711.09715 v3 · 2017-11-13 · stat.AP · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{LK3MSPWJZO5FB64RQJARZMPWT2}
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 | 2026-05-18T00:19:47.270004Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
5ab6c93ec9cbba50fb9182411cb1f69eb89a0c5e9007b4a24359e431c8bd5850
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/LK3MSPWJZO5FB64RQJARZMPWT2 \
| 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: 5ab6c93ec9cbba50fb9182411cb1f69eb89a0c5e9007b4a24359e431c8bd5850
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "67f665cb159f989316f2ac56186dbfdb62e07c008fa37a0516d42281bcf789ac",
"cross_cats_sorted": [
"stat.ML"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "stat.AP",
"submitted_at": "2017-11-13T10:44:01Z",
"title_canon_sha256": "1665b8fe2cd582d51f91ece72f7fa42ee066a3aa4cb046adb805c7dc8a5ea947"
},
"schema_version": "1.0",
"source": {
"id": "1711.09715",
"kind": "arxiv",
"version": 3
}
}