Pith Number
pith:Z65AANG2
pith:2019:Z65AANG2MTTHM2TNGNZJ7JIII3
not attested
not anchored
not stored
refs pending
Exploiting Synthetically Generated Data with Semi-Supervised Learning for Small and Imbalanced Datasets
arxiv:1903.10022 v1 · 2019-03-24 · cs.LG · cs.AI · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{Z65AANG2MTTHM2TNGNZJ7JIII3}
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 | 2026-05-17T23:50:34.758846Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
cfba0034da64e6766a6d33729fa50846f5bc91a9f5630e5de610db7a01d5fffd
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/Z65AANG2MTTHM2TNGNZJ7JIII3 \
| 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: cfba0034da64e6766a6d33729fa50846f5bc91a9f5630e5de610db7a01d5fffd
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "57048247cb9a7f23b1065e771288aba1c719411df361c236f5cea317d6905388",
"cross_cats_sorted": [
"cs.AI",
"stat.ML"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2019-03-24T17:09:28Z",
"title_canon_sha256": "7d4b098e7b1daff796841c4284c0f980fca30febad5939b9512284bd74ba643b"
},
"schema_version": "1.0",
"source": {
"id": "1903.10022",
"kind": "arxiv",
"version": 1
}
}