Pith Number
pith:4A4ZRWUJ
pith:2019:4A4ZRWUJPYHYJOY5PV4VFU3XEC
not attested
not anchored
not stored
refs pending
Deep ensemble learning for Alzheimers disease classification
arxiv:1905.12827 v1 · 2019-05-30 · cs.LG · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{4A4ZRWUJPYHYJOY5PV4VFU3XEC}
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 | 2026-05-17T23:44:39.563585Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
e03998da897e0f84bb1d7d7952d37720805ac712de80616416010a0a9cfa5fe5
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/4A4ZRWUJPYHYJOY5PV4VFU3XEC \
| 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: e03998da897e0f84bb1d7d7952d37720805ac712de80616416010a0a9cfa5fe5
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "a63d53062a3d090e4cd0b882b129d19d76d513795eb19f8c7c4252ef39e4f413",
"cross_cats_sorted": [
"stat.ML"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2019-05-30T02:04:57Z",
"title_canon_sha256": "539ddc3bc1fd5375ee44e000a67ac0737ee3738edc4f8301d39908be7fc8be04"
},
"schema_version": "1.0",
"source": {
"id": "1905.12827",
"kind": "arxiv",
"version": 1
}
}