Pith Number
pith:U4YEQ24P
pith:2021:U4YEQ24PL7TZPRNJOH4ZG6QJHG
not attested
not anchored
not stored
refs pending
Maximizing Parallelism in Distributed Training for Huge Neural Networks
arxiv:2105.14450 v1 · 2021-05-30 · cs.DC · cs.LG · cs.PF
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{U4YEQ24PL7TZPRNJOH4ZG6QJHG}
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
· sign in to
claim
4
Citations
5
Replications
✓
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 | 2026-07-05T02:44:24.013306Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
a730486b8f5fe797c5a971f9937a0939930b3294590596be633664cae8430b3b
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/U4YEQ24PL7TZPRNJOH4ZG6QJHG \
| 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: a730486b8f5fe797c5a971f9937a0939930b3294590596be633664cae8430b3b
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "a5abd61b79f42de5303aa2d19db318bbe16e41d398aef1df3ac17855b84c82a9",
"cross_cats_sorted": [
"cs.LG",
"cs.PF"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.DC",
"submitted_at": "2021-05-30T07:41:08Z",
"title_canon_sha256": "b03df1b34969410233d58f2393e536c1ee1ae4b7ca2c9a78ba9b5b19fbc13454"
},
"schema_version": "1.0",
"source": {
"id": "2105.14450",
"kind": "arxiv",
"version": 1
}
}