Pith Number
pith:BVMEJXQK
pith:2020:BVMEJXQKPWIO2LN4EWH2IUGGT3
not attested
not anchored
not stored
refs pending
Brain MRI-based 3D Convolutional Neural Networks for Classification of Schizophrenia and Controls
arxiv:2003.08818 v1 · 2020-03-14 · cs.CV · cs.LG · eess.IV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{BVMEJXQKPWIO2LN4EWH2IUGGT3}
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 | 2026-07-05T00:49:14.535836Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
0d5844de0a7d90ed2dbc258fa450c69eeb1f2c08006fc36b0baa0509d913b975
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/BVMEJXQKPWIO2LN4EWH2IUGGT3 \
| 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: 0d5844de0a7d90ed2dbc258fa450c69eeb1f2c08006fc36b0baa0509d913b975
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "9e6ba31ea0d768a3d7d3f1722b907ee4f57fb4891285e195e12808f573f08215",
"cross_cats_sorted": [
"cs.LG",
"eess.IV"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2020-03-14T10:05:21Z",
"title_canon_sha256": "6139f746f4c7e48eb04fdf72ab983f94d76e1eaf61b28a794afe554f43aae2a0"
},
"schema_version": "1.0",
"source": {
"id": "2003.08818",
"kind": "arxiv",
"version": 1
}
}