Pith Number
pith:R3FWYT23
pith:2018:R3FWYT23YBZWHVTWDZ7ASWYGMM
not attested
not anchored
not stored
refs pending
Deep Multimodal Learning for Emotion Recognition in Spoken Language
arxiv:1802.08332 v1 · 2018-02-22 · cs.CL
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{R3FWYT23YBZWHVTWDZ7ASWYGMM}
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 | 2026-05-18T00:22:43.955983Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
8ecb6c4f5bc07363d6761e7e095b066315e1590abf0d8ad6a3aec26224803416
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/R3FWYT23YBZWHVTWDZ7ASWYGMM \
| 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: 8ecb6c4f5bc07363d6761e7e095b066315e1590abf0d8ad6a3aec26224803416
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "6c9f8f5e93219178e031ef94c215cb83a47a855f02c5c2fb92b714de905d0401",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CL",
"submitted_at": "2018-02-22T22:34:24Z",
"title_canon_sha256": "bf230092fc09bd5062592d437160a37c762dcff3f06edd2ff0ce1bd8eecb9716"
},
"schema_version": "1.0",
"source": {
"id": "1802.08332",
"kind": "arxiv",
"version": 1
}
}