Pith Number
pith:IWM3RNW6
pith:2022:IWM3RNW6CYWW5XZI7OZQDA6LPR
not attested
not anchored
not stored
refs pending
Where to Begin? On the Impact of Pre-Training and Initialization in Federated Learning
arxiv:2206.15387 v3 · 2022-06-30 · cs.LG · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{IWM3RNW6CYWW5XZI7OZQDA6LPR}
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.
Cited by
Receipt and verification
| First computed | 2026-07-05T05:54:29.597549Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
4599b8b6de162d6edf28fbb30183cb7c74d7a2c94c2c3cfdff20ddb5bfd1fa6e
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/IWM3RNW6CYWW5XZI7OZQDA6LPR \
| 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: 4599b8b6de162d6edf28fbb30183cb7c74d7a2c94c2c3cfdff20ddb5bfd1fa6e
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "f2856798dea46706ef1d4b8e1d36ac5e218d3dcc06740dd33fcd785bde3d1e77",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://creativecommons.org/licenses/by-nc-sa/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2022-06-30T16:18:21Z",
"title_canon_sha256": "ea2eb7d72951b7262e28c3af7102cf8cd7e75f9d3969728533bcb31613db0b43"
},
"schema_version": "1.0",
"source": {
"id": "2206.15387",
"kind": "arxiv",
"version": 3
}
}