Pith Number
pith:X32KTYMK
pith:2019:X32KTYMKXJB4QYUVA2NGGLK4AZ
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Evaluation of Dataflow through layers of Deep Neural Networks in Classification and Regression Problems
arxiv:1906.05156 v1 · 2019-06-12 · cs.CV · cs.AI · cs.IT · cs.LG · math.IT
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{X32KTYMKXJB4QYUVA2NGGLK4AZ}
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Record completeness
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Bitcoin timestamp
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Internet Archive
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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 | 2026-05-17T23:43:25.660687Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
bef4a9e18aba43c86295069a632d5c0642e11426e9205867ca5ca981c72aacb3
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/X32KTYMKXJB4QYUVA2NGGLK4AZ \
| 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: bef4a9e18aba43c86295069a632d5c0642e11426e9205867ca5ca981c72aacb3
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "ec8c2ef393a547bb664f025052e891fb42abf179d6034d83cd896c7ba6579337",
"cross_cats_sorted": [
"cs.AI",
"cs.IT",
"cs.LG",
"math.IT"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2019-06-12T14:16:10Z",
"title_canon_sha256": "b4db6daacf378d270ff8aa8c4bb082d296a2520f8b19bed01db8607b1623481b"
},
"schema_version": "1.0",
"source": {
"id": "1906.05156",
"kind": "arxiv",
"version": 1
}
}