Pith Number
pith:GQNSJYSH
pith:2019:GQNSJYSHIOMRREC5V35J4PJ46F
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A Network-based Multimodal Data Fusion Approach for Characterizing Dynamic Multimodal Physiological Patterns
arxiv:1901.00877 v1 · 2019-01-03 · cs.LG · q-bio.QM · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{GQNSJYSHIOMRREC5V35J4PJ46F}
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Record completeness
1
Bitcoin timestamp
2
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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 | 2026-05-17T23:56:57.830540Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
341b24e247439918905daefa9e3d3cf1738b8410c5ecc97d9baba1d529d7d0ee
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/GQNSJYSHIOMRREC5V35J4PJ46F \
| 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: 341b24e247439918905daefa9e3d3cf1738b8410c5ecc97d9baba1d529d7d0ee
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "dc338dc6cb5d91c30f8ef4caf07b8198189473878205d9367106dc73cae876ba",
"cross_cats_sorted": [
"q-bio.QM",
"stat.ML"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2019-01-03T19:04:12Z",
"title_canon_sha256": "6832943533b68116262391d141d5a13801d3827a53df70091a13f2ca96fe6e87"
},
"schema_version": "1.0",
"source": {
"id": "1901.00877",
"kind": "arxiv",
"version": 1
}
}