Pith Number
pith:3GWS7EGK
pith:2019:3GWS7EGKZVNO45OBEPRFZDHF5D
not attested
not anchored
not stored
refs pending
Analysis of an Automated Machine Learning Approach in Brain Predictive Modelling: A data-driven approach to Predict Brain Age from Cortical Anatomical Measures
arxiv:1910.03349 v1 · 2019-10-08 · q-bio.NC · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{3GWS7EGKZVNO45OBEPRFZDHF5D}
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Record completeness
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Bitcoin timestamp
2
Internet Archive
3
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4
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 | 2026-07-05T00:10:20.342616Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
d9ad2f90cacd5aee75c123e25c8ce5e8f3dc8131677736b0246cac39b217a63d
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/3GWS7EGKZVNO45OBEPRFZDHF5D \
| 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: d9ad2f90cacd5aee75c123e25c8ce5e8f3dc8131677736b0246cac39b217a63d
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "80a2adba5ba32111828794f6bff97fa11ccb066d61822a9c042786612a47d427",
"cross_cats_sorted": [
"stat.ML"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "q-bio.NC",
"submitted_at": "2019-10-08T11:54:43Z",
"title_canon_sha256": "5be013a20aebf848f31d6be5bc3c859997c568a5d4b03e0a4070e09784daee7a"
},
"schema_version": "1.0",
"source": {
"id": "1910.03349",
"kind": "arxiv",
"version": 1
}
}