Pith Number
pith:HFBHAYAC
pith:2020:HFBHAYAC5KRJGLYD7J3SHX6QFU
not attested
not anchored
not stored
refs pending
A Efficient Multimodal Framework for Large Scale Emotion Recognition by Fusing Music and Electrodermal Activity Signals
arxiv:2008.09743 v2 · 2020-08-22 · cs.SD · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{HFBHAYAC5KRJGLYD7J3SHX6QFU}
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Record completeness
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Bitcoin timestamp
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4
Citations
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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 | 2026-07-05T04:22:49.483503Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
3942706002eaa2932f03fa7723dfd02d19c1a740192101702dda7eca1fe9717f
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/HFBHAYAC5KRJGLYD7J3SHX6QFU \
| 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: 3942706002eaa2932f03fa7723dfd02d19c1a740192101702dda7eca1fe9717f
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "2307aa6801dba11029d65c16dd3e7b62f9a749a64506d405afe4facfdf043990",
"cross_cats_sorted": [
"cs.CV"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.SD",
"submitted_at": "2020-08-22T03:13:20Z",
"title_canon_sha256": "f8aa337320d777bc4e780cb24df68272daa1569ad533890b2d65ca91a690a5c2"
},
"schema_version": "1.0",
"source": {
"id": "2008.09743",
"kind": "arxiv",
"version": 2
}
}