Pith Number
pith:GG7IVYLZ
pith:2018:GG7IVYLZSDYB2OPEJJGD2Y52YP
not attested
not anchored
not stored
refs pending
Large Data and Zero Noise Limits of Graph-Based Semi-Supervised Learning Algorithms
arxiv:1805.09450 v2 · 2018-05-23 · stat.ML · cs.LG · math.AP
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{GG7IVYLZSDYB2OPEJJGD2Y52YP}
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
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4
Citations
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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 | 2026-05-17T23:57:15.198709Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
31be8ae17990f01d39e44a4c3d63bac3c72720c6e7b4c3f403e074f63f008339
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/GG7IVYLZSDYB2OPEJJGD2Y52YP \
| 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: 31be8ae17990f01d39e44a4c3d63bac3c72720c6e7b4c3f403e074f63f008339
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "baa2c2346f9b208db0b6920ed5d0b28e356280140f4f044e5f1de089e2203980",
"cross_cats_sorted": [
"cs.LG",
"math.AP"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "stat.ML",
"submitted_at": "2018-05-23T22:50:53Z",
"title_canon_sha256": "bf95ac7ccec2d3ca8d5ca9c992507317c886b5991fe2ecbd894b818fce600aea"
},
"schema_version": "1.0",
"source": {
"id": "1805.09450",
"kind": "arxiv",
"version": 2
}
}