Pith Number
pith:SCNPUNXW
pith:2018:SCNPUNXWLITVF74QU4UOLYIDB3
not attested
not anchored
not stored
refs pending
Entropy-Assisted Multi-Modal Emotion Recognition Framework Based on Physiological Signals
arxiv:1809.08410 v1 · 2018-09-22 · q-bio.QM · cs.LG · eess.SP
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{SCNPUNXWLITVF74QU4UOLYIDB3}
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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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 | 2026-05-18T00:05:08.589657Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
909afa36f65a2752ff90a728e5e1030eeef61164e619110075e84037c2eee5f9
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/SCNPUNXWLITVF74QU4UOLYIDB3 \
| 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: 909afa36f65a2752ff90a728e5e1030eeef61164e619110075e84037c2eee5f9
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "7b205b6fce62499f5cd6b349df5b16aeb71e8c360083179133c46a9cb6e58469",
"cross_cats_sorted": [
"cs.LG",
"eess.SP"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "q-bio.QM",
"submitted_at": "2018-09-22T08:45:15Z",
"title_canon_sha256": "46d62b8c049891025818844fc3c4f44d975b1197196cf0b6360c996969f406c6"
},
"schema_version": "1.0",
"source": {
"id": "1809.08410",
"kind": "arxiv",
"version": 1
}
}