Pith Number
pith:WBQSWWBH
pith:2019:WBQSWWBH2NCBNKJQ4Q6L3PE3UH
not attested
not anchored
not stored
refs pending
Analysis of Large-Scale Multi-Tenant GPU Clusters for DNN Training Workloads
arxiv:1901.05758 v2 · 2019-01-17 · cs.DC
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{WBQSWWBH2NCBNKJQ4Q6L3PE3UH}
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 | 2026-07-04T23:52:19.938618Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
b0612b5827d34416a930e43cbdbc9ba1e2f56ad27192baa7527dd989df80595e
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/WBQSWWBH2NCBNKJQ4Q6L3PE3UH \
| 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: b0612b5827d34416a930e43cbdbc9ba1e2f56ad27192baa7527dd989df80595e
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "784f4732000934c525c34eb049cdfdd9cde1d42af56573d416c7caa71010fac7",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.DC",
"submitted_at": "2019-01-17T12:28:09Z",
"title_canon_sha256": "64bea330e0dba9b7123f425f159c6e33526934681de24103b75cb47560e2e20c"
},
"schema_version": "1.0",
"source": {
"id": "1901.05758",
"kind": "arxiv",
"version": 2
}
}