Pith Number
pith:XDZCRP7O
pith:2023:XDZCRP7OCLHZGFCY6WWRY2LLYW
not attested
not anchored
not stored
refs pending
FedDAT: An Approach for Foundation Model Finetuning in Multi-Modal Heterogeneous Federated Learning
arxiv:2308.12305 v1 · 2023-08-21 · cs.LG · cs.AI · cs.MM
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{XDZCRP7OCLHZGFCY6WWRY2LLYW}
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
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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 | 2026-07-05T06:44:10.133457Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
b8f228bfee12cf931458f5ad1c696bc5b0b6c17be63b29caba9be66eab7e3105
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/XDZCRP7OCLHZGFCY6WWRY2LLYW \
| 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: b8f228bfee12cf931458f5ad1c696bc5b0b6c17be63b29caba9be66eab7e3105
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "f12d2ad12ff6ba0e0340c4f78493caf4ec560017a3d7c56392d58857a51ce804",
"cross_cats_sorted": [
"cs.AI",
"cs.MM"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2023-08-21T21:57:01Z",
"title_canon_sha256": "341e4228070d774b50ec1b497339f74ab33eb9d7838c9504495b9da3ed13f5a2"
},
"schema_version": "1.0",
"source": {
"id": "2308.12305",
"kind": "arxiv",
"version": 1
}
}