Pith Number
pith:BF5B3QX4
pith:2019:BF5B3QX42XR53HTYCLM3GOAINN
not attested
not anchored
not stored
refs pending
Improving Federated Learning Personalization via Model Agnostic Meta Learning
arxiv:1909.12488 v2 · 2019-09-27 · cs.LG · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{BF5B3QX42XR53HTYCLM3GOAINN}
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
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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 | 2026-07-05T05:33:57.343178Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
097a1dc2fcd5e3dd9e7812d9b338086b4780817dd2fb1f572e93d54d992f1d9f
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/BF5B3QX42XR53HTYCLM3GOAINN \
| 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: 097a1dc2fcd5e3dd9e7812d9b338086b4780817dd2fb1f572e93d54d992f1d9f
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "7bcd7bf8c2fd477aad3df56ee5a69c8b26cbba505e526ac9ebf61cbd9ae75341",
"cross_cats_sorted": [
"stat.ML"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2019-09-27T04:26:37Z",
"title_canon_sha256": "df3a028e86110c23acce05c8f4302047ce3ac7f5d4d5ef467a55875ec39a5796"
},
"schema_version": "1.0",
"source": {
"id": "1909.12488",
"kind": "arxiv",
"version": 2
}
}