Pith Number
pith:SFFYKJLS
pith:2018:SFFYKJLS3QKS5GMPW4AQHJHDOL
not attested
not anchored
not stored
refs pending
MXNET-MPI: Embedding MPI parallelism in Parameter Server Task Model for scaling Deep Learning
arxiv:1801.03855 v1 · 2018-01-11 · cs.DC · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{SFFYKJLS3QKS5GMPW4AQHJHDOL}
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 | 2026-05-18T00:26:13.368209Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
914b852572dc152e998fb70103a4e372e24ae31ffec30fa9b77a9b51056d41b5
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/SFFYKJLS3QKS5GMPW4AQHJHDOL \
| 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: 914b852572dc152e998fb70103a4e372e24ae31ffec30fa9b77a9b51056d41b5
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "5fc5c35e09d2c976887a2f79160d9448f729dd2df100aaf184a0433d0f10bcac",
"cross_cats_sorted": [
"cs.LG"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.DC",
"submitted_at": "2018-01-11T16:32:10Z",
"title_canon_sha256": "b95bfe248b426925f95e1fde9a7ff1fc59683a0ac43a02c1a2bbc1d0744824cb"
},
"schema_version": "1.0",
"source": {
"id": "1801.03855",
"kind": "arxiv",
"version": 1
}
}