Pith Number
pith:64DIBAFT
pith:2022:64DIBAFTHYFFL5UUE7ZSKD4ZNC
not attested
not anchored
not stored
refs pending
MiCS: Near-linear Scaling for Training Gigantic Model on Public Cloud
arxiv:2205.00119 v5 · 2022-04-30 · cs.DC
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{64DIBAFTHYFFL5UUE7ZSKD4ZNC}
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 | 2026-07-05T05:11:19.521359Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
f7068080b33e0a55f69427f3250f9968ba993d48e6d5d85870b547a8e82e4b14
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/64DIBAFTHYFFL5UUE7ZSKD4ZNC \
| 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: f7068080b33e0a55f69427f3250f9968ba993d48e6d5d85870b547a8e82e4b14
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "2724e3170797c43c3e23824767ff6cbd08f8dbf48424fcc1c5838dc1e9b378d6",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.DC",
"submitted_at": "2022-04-30T00:55:29Z",
"title_canon_sha256": "2503e2fbcbe004c1ec327dc4efbf2f0c4614c32d495471a01ab3d1989665bb03"
},
"schema_version": "1.0",
"source": {
"id": "2205.00119",
"kind": "arxiv",
"version": 5
}
}