Pith Number
pith:XSC4RO4F
pith:2018:XSC4RO4FI3BR3ABXODS4GG2AJP
not attested
not anchored
not stored
refs pending
Artificial neural networks condensation: A strategy to facilitate adaption of machine learning in medical settings by reducing computational burden
arxiv:1812.09659 v1 · 2018-12-23 · cs.LG · cs.AI · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{XSC4RO4FI3BR3ABXODS4GG2AJP}
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Record completeness
1
Bitcoin timestamp
2
Internet Archive
3
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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 | 2026-05-17T23:57:27.209020Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
bc85c8bb8546c31d803770e5c31b404bca4d98a81b95dc1e64b6a4bb565fea49
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/XSC4RO4FI3BR3ABXODS4GG2AJP \
| 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: bc85c8bb8546c31d803770e5c31b404bca4d98a81b95dc1e64b6a4bb565fea49
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "9957c95fe2affb690ec61d1c45efc3d75e2d4228e518808c26a50b5968590a21",
"cross_cats_sorted": [
"cs.AI",
"stat.ML"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2018-12-23T05:08:24Z",
"title_canon_sha256": "048ab72afcba95c186ae173349561b2255f8c4dc2ffbc243bffd3cc4cbfd9959"
},
"schema_version": "1.0",
"source": {
"id": "1812.09659",
"kind": "arxiv",
"version": 1
}
}