Pith Number
pith:QBZKJQ5Q
pith:2018:QBZKJQ5QUZ67VHGQC66PUTJTDQ
not attested
not anchored
not stored
refs pending
An Orchestrated Empirical Study on Deep Learning Frameworks and Platforms
arxiv:1811.05187 v1 · 2018-11-13 · cs.LG · cs.CR · cs.SE
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{QBZKJQ5QUZ67VHGQC66PUTJTDQ}
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 | 2026-05-18T00:00:37.509936Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
8072a4c3b0a67dfa9cd017bcfa4d331c0110469a0576ea237a87c36af204df53
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/QBZKJQ5QUZ67VHGQC66PUTJTDQ \
| 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: 8072a4c3b0a67dfa9cd017bcfa4d331c0110469a0576ea237a87c36af204df53
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "19c0865db9fe208e0251c8da8211b5e0fb7649fc58adf314ae36f5f4ac7275a2",
"cross_cats_sorted": [
"cs.CR",
"cs.SE"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2018-11-13T09:51:57Z",
"title_canon_sha256": "c0b876f58e895b324ad94df15a33181d5e965a85eb140d5deefbf1364907ae96"
},
"schema_version": "1.0",
"source": {
"id": "1811.05187",
"kind": "arxiv",
"version": 1
}
}