Pith Number
pith:2NMSYPYK
pith:2018:2NMSYPYK4LL7774KPP2ZTINHCI
not attested
not anchored
not stored
refs pending
One-Shot Learning using Mixture of Variational Autoencoders: a Generalization Learning approach
arxiv:1804.07645 v1 · 2018-04-18 · cs.CV · cs.LG · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{2NMSYPYK4LL7774KPP2ZTINHCI}
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 | 2026-05-18T00:17:58.213868Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
d3592c3f0ae2d7ffff8a7bf599a1a7122059f7bbc1c79a7afd1c5b46133600d2
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/2NMSYPYK4LL7774KPP2ZTINHCI \
| 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: d3592c3f0ae2d7ffff8a7bf599a1a7122059f7bbc1c79a7afd1c5b46133600d2
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "a50bbcb59dbe3f4d7a8d7f0b66fc3d9e76a0231f5eab4bc630ed612ca6081c8e",
"cross_cats_sorted": [
"cs.LG",
"stat.ML"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2018-04-18T22:00:20Z",
"title_canon_sha256": "4a9c5da9a6612fcbe2e8198301efc7e300c5bbd15693856489201d2c4b6ce7e7"
},
"schema_version": "1.0",
"source": {
"id": "1804.07645",
"kind": "arxiv",
"version": 1
}
}