Pith Number
pith:IFNN72Q7
pith:2019:IFNN72Q7D7P77EA4NKNXVX7TCU
not attested
not anchored
not stored
refs pending
SLSGD: Secure and Efficient Distributed On-device Machine Learning
arxiv:1903.06996 v3 · 2019-03-16 · cs.LG · cs.DC · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{IFNN72Q7D7P77EA4NKNXVX7TCU}
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 | 2026-07-05T00:09:14.132186Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
415adfea1f1fdfff901c6a9b7adff3150c33816f4271a6df52ac2c32b21ff1cc
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/IFNN72Q7D7P77EA4NKNXVX7TCU \
| 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: 415adfea1f1fdfff901c6a9b7adff3150c33816f4271a6df52ac2c32b21ff1cc
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "a3e95e1cff4f78d8f1a63a6c5e75bd19073c612ab3eb05f92c528eee8671aca3",
"cross_cats_sorted": [
"cs.DC",
"stat.ML"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2019-03-16T22:25:20Z",
"title_canon_sha256": "b61e1705b1e9e8694708f761f7dc8c5add6e82fe3c8f50efd080d2b5edb5abc6"
},
"schema_version": "1.0",
"source": {
"id": "1903.06996",
"kind": "arxiv",
"version": 3
}
}