Pith Number
pith:KO4DSJH3
pith:2024:KO4DSJH3IORKR5B5GKGQHZY4N3
not attested
not anchored
not stored
refs pending
FedMLLM: Federated Fine-tuning MLLM on Multimodal Heterogeneity Data
arxiv:2411.14717 v2 · 2024-11-22 · cs.LG · cs.CL · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{KO4DSJH3IORKR5B5GKGQHZY4N3}
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 | 2026-07-05T10:26:41.628857Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
53b83924fb43a2a8f43d328d03e71c6ef37d8864e44096b5097a45c56c5fc9ed
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/KO4DSJH3IORKR5B5GKGQHZY4N3 \
| 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: 53b83924fb43a2a8f43d328d03e71c6ef37d8864e44096b5097a45c56c5fc9ed
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "bbd8cf6a4fecc3c93784bb405807f9062e963ba73c24d7d9548a900b792b9a46",
"cross_cats_sorted": [
"cs.CL",
"cs.CV"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2024-11-22T04:09:23Z",
"title_canon_sha256": "9745304a0a30ac11300503c345af507e58280f6b22e97bda48e58314de7dc2cc"
},
"schema_version": "1.0",
"source": {
"id": "2411.14717",
"kind": "arxiv",
"version": 2
}
}