Pith Number
pith:BSHHG4QS
pith:2019:BSHHG4QSX3N3VMGQHV3WKJF5RI
not attested
not anchored
not stored
refs pending
Ensemble of 3D CNN regressors with data fusion for fluid intelligence prediction
arxiv:1905.10550 v1 · 2019-05-25 · eess.IV · cs.CV · cs.LG · stat.AP
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{BSHHG4QSX3N3VMGQHV3WKJF5RI}
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 | 2026-05-17T23:45:08.133793Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
0c8e737212bedbbab0d03d776524bd8a0a5dfb99cccb871c84ee0db793f2fd33
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/BSHHG4QSX3N3VMGQHV3WKJF5RI \
| 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: 0c8e737212bedbbab0d03d776524bd8a0a5dfb99cccb871c84ee0db793f2fd33
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "48a6ea58e9d9d75a45b3a81679ed30e341c75ac75a4f16b3e8f135c7a15e5627",
"cross_cats_sorted": [
"cs.CV",
"cs.LG",
"stat.AP"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "eess.IV",
"submitted_at": "2019-05-25T07:54:56Z",
"title_canon_sha256": "0c377a71eb8c6b1b7a0be2453deb3e1edc1a844c4b03da1ce4421265f6bfaaf7"
},
"schema_version": "1.0",
"source": {
"id": "1905.10550",
"kind": "arxiv",
"version": 1
}
}