Pith Number
pith:MNHM33ME
pith:2023:MNHM33MEXN5E6LSD5KSV5AI62F
not attested
not anchored
not stored
refs pending
A Comparison of Personalized and Generalized Approaches to Emotion Recognition Using Consumer Wearable Devices: Machine Learning Study
arxiv:2308.14245 v1 · 2023-08-28 · cs.LG · cs.CY · cs.HC · eess.SP
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{MNHM33MEXN5E6LSD5KSV5AI62F}
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Record completeness
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Bitcoin timestamp
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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 | 2026-07-05T06:45:23.732121Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
634ecded84bb7a4f2e43eaa55e811ed151ab6ff1164c2bf9311e7dc9216c8f97
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/MNHM33MEXN5E6LSD5KSV5AI62F \
| 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: 634ecded84bb7a4f2e43eaa55e811ed151ab6ff1164c2bf9311e7dc9216c8f97
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "ece5a2714cc85383ab65d568db77beae3b5fc6f63580f41e7c5e0c4b8f07f3df",
"cross_cats_sorted": [
"cs.CY",
"cs.HC",
"eess.SP"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2023-08-28T01:21:22Z",
"title_canon_sha256": "123f4e9e4fa370d1dcf30c5403ecff8de37520be31ed4284b689885f2d9116c1"
},
"schema_version": "1.0",
"source": {
"id": "2308.14245",
"kind": "arxiv",
"version": 1
}
}