Pith Number
pith:VHVCIT2I
pith:2018:VHVCIT2IDI7FCEK6HVI2Z3WYE6
not attested
not anchored
not stored
refs pending
Semi-supervised Deep Generative Modelling of Incomplete Multi-Modality Emotional Data
arxiv:1808.02096 v1 · 2018-07-27 · eess.SP · cs.CV · cs.LG · cs.MM
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{VHVCIT2IDI7FCEK6HVI2Z3WYE6}
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 | 2026-05-18T00:08:47.627982Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
a9ea244f481a3e51115e3d51aceed827a9367a599cbed0c0c28911b233f1b94f
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/VHVCIT2IDI7FCEK6HVI2Z3WYE6 \
| 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: a9ea244f481a3e51115e3d51aceed827a9367a599cbed0c0c28911b233f1b94f
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "6fb94231c19968398ddcc6348c85685ea956640b44fb14d736482e51c1498ae7",
"cross_cats_sorted": [
"cs.CV",
"cs.LG",
"cs.MM"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "eess.SP",
"submitted_at": "2018-07-27T07:07:36Z",
"title_canon_sha256": "ac06ffcc425fdf600da0fd854700118067d2cd7820467df3731e2b1b241913f1"
},
"schema_version": "1.0",
"source": {
"id": "1808.02096",
"kind": "arxiv",
"version": 1
}
}