Pith Number
pith:MHWQI6WZ
pith:2020:MHWQI6WZMLFOXOQBU5U3N34ROA
not attested
not anchored
not stored
refs pending
Multimodal Privacy-preserving Mood Prediction from Mobile Data: A Preliminary Study
arxiv:2012.02359 v1 · 2020-12-04 · cs.LG · cs.CY · stat.AP
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{MHWQI6WZMLFOXOQBU5U3N34ROA}
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 | 2026-07-05T01:56:58.848357Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
61ed047ad962caebba01a769b6ef91700b091a004d43931407c9f4f3c907fbff
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/MHWQI6WZMLFOXOQBU5U3N34ROA \
| 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: 61ed047ad962caebba01a769b6ef91700b091a004d43931407c9f4f3c907fbff
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "0f6a156777eebcb1b7533bce94dd463cbbc0088d97e09614ba8c8d69bcdf69f9",
"cross_cats_sorted": [
"cs.CY",
"stat.AP"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2020-12-04T01:44:22Z",
"title_canon_sha256": "2eb314381bea07c99d08f53055f8fc7e5cb58d6af6355ff219de55a156feead2"
},
"schema_version": "1.0",
"source": {
"id": "2012.02359",
"kind": "arxiv",
"version": 1
}
}