Pith Number
pith:PDJJAWQP
pith:2017:PDJJAWQPNZW6KRVSLW4HGGUJ3P
not attested
not anchored
not stored
refs pending
CHAOS: A Parallelization Scheme for Training Convolutional Neural Networks on Intel Xeon Phi
arxiv:1702.07908 v1 · 2017-02-25 · cs.DC · cs.CV · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{PDJJAWQPNZW6KRVSLW4HGGUJ3P}
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.
Receipt and verification
| First computed | 2026-05-18T00:49:56.692567Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
78d2905a0f6e6de546b25db8731a89dbc5b18d71b02320bfed30808704e79ea1
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/PDJJAWQPNZW6KRVSLW4HGGUJ3P \
| 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: 78d2905a0f6e6de546b25db8731a89dbc5b18d71b02320bfed30808704e79ea1
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "50b1f79318e715a0d3b698435a7f4b865c7c8a37252990a8f237e1ce0c777eb0",
"cross_cats_sorted": [
"cs.CV",
"cs.LG"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.DC",
"submitted_at": "2017-02-25T15:48:44Z",
"title_canon_sha256": "521b7223a13433e05383bf3b52d77da0fc19350f04014bce4d5fa81b3a481a47"
},
"schema_version": "1.0",
"source": {
"id": "1702.07908",
"kind": "arxiv",
"version": 1
}
}