Pith Number
pith:VCTW6KTY
pith:2017:VCTW6KTYBLBEEW7GRMNV52RQ77
not attested
not anchored
not stored
refs pending
Attentive Convolutional Neural Network based Speech Emotion Recognition: A Study on the Impact of Input Features, Signal Length, and Acted Speech
arxiv:1706.00612 v1 · 2017-06-02 · cs.CL
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{VCTW6KTYBLBEEW7GRMNV52RQ77}
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Record completeness
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Bitcoin timestamp
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4
Citations
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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 | 2026-05-18T00:43:12.548855Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
a8a76f2a780ac2425be68b1b5eea30fffafbb80c3df9f431e02b591f69772a83
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/VCTW6KTYBLBEEW7GRMNV52RQ77 \
| 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: a8a76f2a780ac2425be68b1b5eea30fffafbb80c3df9f431e02b591f69772a83
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "6581d2f5d13287a39000fd97efe505c4459db3bb631d6d1b8301ef5829678e23",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CL",
"submitted_at": "2017-06-02T10:12:52Z",
"title_canon_sha256": "acf2347742c5e0ae21766fc42cb65a45b23f670d357e8166762ce8ee758fd24b"
},
"schema_version": "1.0",
"source": {
"id": "1706.00612",
"kind": "arxiv",
"version": 1
}
}