Pith Number
pith:3EKJSPFW
pith:2019:3EKJSPFW5JGPYTQNOKVBNNNADV
not attested
not anchored
not stored
refs pending
Accelerated Training for CNN Distributed Deep Learning through Automatic Resource-Aware Layer Placement
arxiv:1901.05803 v1 · 2019-01-17 · cs.DC
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{3EKJSPFW5JGPYTQNOKVBNNNADV}
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.
Cited by
Receipt and verification
| First computed | 2026-05-17T23:56:06.144000Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
d914993cb6ea4cfc4e0d72aa16b5a01d5333d611e8b303a6a0dc49c2f14146b3
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/3EKJSPFW5JGPYTQNOKVBNNNADV \
| 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: d914993cb6ea4cfc4e0d72aa16b5a01d5333d611e8b303a6a0dc49c2f14146b3
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "b680b803fa7a28b878997eca27b3ad3c0c435929d723112699680f4b07a658fa",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.DC",
"submitted_at": "2019-01-17T14:19:49Z",
"title_canon_sha256": "d5d4686913f7e23daef5cfc5624fdea351ebe502b262350d0dafdd31cade7fc6"
},
"schema_version": "1.0",
"source": {
"id": "1901.05803",
"kind": "arxiv",
"version": 1
}
}