Pith Number
pith:TFXYSFKZ
pith:2018:TFXYSFKZSNUSNPR5FDE2W3OK5X
not attested
not anchored
not stored
refs pending
Efficient and Robust Parallel DNN Training through Model Parallelism on Multi-GPU Platform
arxiv:1809.02839 v4 · 2018-09-08 · cs.DC · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{TFXYSFKZSNUSNPR5FDE2W3OK5X}
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
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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.
Cited by
Receipt and verification
| First computed | 2026-07-05T00:15:00.946114Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
996f891559936926be3d28c9ab6dcaedceca439e31c7bc0840e9b8fd09ec5eeb
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/TFXYSFKZSNUSNPR5FDE2W3OK5X \
| 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: 996f891559936926be3d28c9ab6dcaedceca439e31c7bc0840e9b8fd09ec5eeb
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "856b9279fe2bc0da330dcb763ee808bcbf8cd733778915b93b053d62aee9066d",
"cross_cats_sorted": [
"cs.LG"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.DC",
"submitted_at": "2018-09-08T17:21:58Z",
"title_canon_sha256": "bf443d06fd02c670210be19ff5fb63071217a28637a268588753fc72aaa1ae29"
},
"schema_version": "1.0",
"source": {
"id": "1809.02839",
"kind": "arxiv",
"version": 4
}
}