Pith Number
pith:7UGJDV3N
pith:2017:7UGJDV3NA3SHY2T2GQ2VZN2ZXI
not attested
not anchored
not stored
refs pending
Smooth Neighbors on Teacher Graphs for Semi-supervised Learning
arxiv:1711.00258 v2 · 2017-11-01 · cs.LG · cs.NE · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{7UGJDV3NA3SHY2T2GQ2VZN2ZXI}
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 | 2026-05-18T00:19:56.840256Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
fd0c91d76d06e47c6a7a34355cb759ba3ace4df87af3e6bcfdf4cfcb77ee226f
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/7UGJDV3NA3SHY2T2GQ2VZN2ZXI \
| 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: fd0c91d76d06e47c6a7a34355cb759ba3ace4df87af3e6bcfdf4cfcb77ee226f
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "07ad179bcd4a9fd2c6ad5613fda3be2bdb72b047e1d3d9b6fcb67e6ecfc4d6a0",
"cross_cats_sorted": [
"cs.NE",
"stat.ML"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2017-11-01T09:10:07Z",
"title_canon_sha256": "063e25a84a20c41ba684f41632470bf80473f1f9ccac97febde6609041708eff"
},
"schema_version": "1.0",
"source": {
"id": "1711.00258",
"kind": "arxiv",
"version": 2
}
}