Pith Number
pith:CAXYQWOZ
pith:2017:CAXYQWOZE3X5WLU57JOW273JU6
not attested
not anchored
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Towards Deep Learning Models for Psychological State Prediction using Smartphone Data: Challenges and Opportunities
arxiv:1711.06350 v1 · 2017-11-16 · cs.LG · cs.AI · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{CAXYQWOZE3X5WLU57JOW273JU6}
Prints a linked badge after your title and injects PDF metadata. Compiles on arXiv. Learn more · Embed verified badge
Record completeness
1
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 | 2026-05-18T00:30:21.372303Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
102f8859d926efdb2e9dfa5d6d7f69a79a34fc1d0d7d8c1bee688fe7d2c2481e
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/CAXYQWOZE3X5WLU57JOW273JU6 \
| 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: 102f8859d926efdb2e9dfa5d6d7f69a79a34fc1d0d7d8c1bee688fe7d2c2481e
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "cd982e04b4b04b6e433895593623443114fae1b09ae9fa8b488ac91613cd57a6",
"cross_cats_sorted": [
"cs.AI",
"stat.ML"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2017-11-16T23:18:03Z",
"title_canon_sha256": "54ddcb6519edbbfc9210f046e9708a532e87d3e5c7ec2fcfec7522aed70d06f0"
},
"schema_version": "1.0",
"source": {
"id": "1711.06350",
"kind": "arxiv",
"version": 1
}
}