Pith Number
pith:XW4EYCK4
pith:2020:XW4EYCK4AIFPT7PEQKXFUDD5M5
not attested
not anchored
not stored
refs pending
Learning Fine-Grained Cross Modality Excitement for Speech Emotion Recognition
arxiv:2010.12733 v2 · 2020-10-24 · cs.SD · eess.AS
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{XW4EYCK4AIFPT7PEQKXFUDD5M5}
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 | 2026-07-05T02:58:04.956591Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
bdb84c095c020af9fde482ae5a0c7d6764d15738c104ba322265b01f2d97d03a
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/XW4EYCK4AIFPT7PEQKXFUDD5M5 \
| 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: bdb84c095c020af9fde482ae5a0c7d6764d15738c104ba322265b01f2d97d03a
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "9305b9b3d0fa7dc799641e1dab60002a8d5830e6ee670fcec068f5c6d032fe50",
"cross_cats_sorted": [
"eess.AS"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.SD",
"submitted_at": "2020-10-24T01:17:58Z",
"title_canon_sha256": "2a96451f2cdc6bc27b641b2a45366691223f5a99f9ceaa99bdf4dc8f8a5cc39e"
},
"schema_version": "1.0",
"source": {
"id": "2010.12733",
"kind": "arxiv",
"version": 2
}
}