Pith Number
pith:4OSD7ZWY
pith:2025:4OSD7ZWYISQNT7LXT6PZA7K5FI
not attested
not anchored
not stored
refs pending
FedNano: Toward Lightweight Federated Tuning for Pretrained Multimodal Large Language Models
arxiv:2506.14824 v1 · 2025-06-12 · cs.LG · cs.AI · cs.MM
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{4OSD7ZWYISQNT7LXT6PZA7K5FI}
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.
Receipt and verification
| First computed | 2026-07-05T11:23:32.260685Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
e3a43fe6d844a0d9fd779f9f907d5d2a1292aa1398ccb45a7398c6ff58e6bdfc
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/4OSD7ZWYISQNT7LXT6PZA7K5FI \
| 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: e3a43fe6d844a0d9fd779f9f907d5d2a1292aa1398ccb45a7398c6ff58e6bdfc
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "384edf58580270f1b2406ff7c6120b83e5f58f2a950904af86177154dd310b71",
"cross_cats_sorted": [
"cs.AI",
"cs.MM"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2025-06-12T17:50:50Z",
"title_canon_sha256": "c434315af673eac3ba531422952bba37ed2bc53d22f40cd80400a91571f9fc4d"
},
"schema_version": "1.0",
"source": {
"id": "2506.14824",
"kind": "arxiv",
"version": 1
}
}