Pith Number
pith:OF6CYKPW
pith:2019:OF6CYKPWZDFPT67F4OAYZV67UF
not attested
not anchored
not stored
refs pending
Taming Unbalanced Training Workloads in Deep Learning with Partial Collective Operations
arxiv:1908.04207 v5 · 2019-08-12 · cs.DC · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{OF6CYKPWZDFPT67F4OAYZV67UF}
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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 | 2026-07-05T11:56:46.381807Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
717c2c29f6c8caf9fbe5e3818cd7dfa1763df9ef2d6a5d5b3e04b5ad7f4f84c5
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/OF6CYKPWZDFPT67F4OAYZV67UF \
| 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: 717c2c29f6c8caf9fbe5e3818cd7dfa1763df9ef2d6a5d5b3e04b5ad7f4f84c5
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "8f1d8604e81a72a844d3f7f4a4b433320e5108a87e8986b2f796897fc484d8a6",
"cross_cats_sorted": [
"cs.LG"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.DC",
"submitted_at": "2019-08-12T15:37:51Z",
"title_canon_sha256": "8fde76340835d438d56ae2ace780ce96ea3b4437ce5eb183d141810410b7fddd"
},
"schema_version": "1.0",
"source": {
"id": "1908.04207",
"kind": "arxiv",
"version": 5
}
}