Pith Number
pith:V7BDKAKW
pith:2025:V7BDKAKWWHWLQMYMQTUCLAEJSW
not attested
not anchored
not stored
refs pending
Federated Learning for Large Models in Medical Imaging: A Comprehensive Review
arxiv:2508.20414 v1 · 2025-08-28 · cs.CR · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{V7BDKAKWWHWLQMYMQTUCLAEJSW}
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
✓
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 | 2026-07-05T12:00:36.233184Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
afc2350156b1ecb8330c84e82580899597b9987259a1dc6347e3f5f2221a295f
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/V7BDKAKWWHWLQMYMQTUCLAEJSW \
| 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: afc2350156b1ecb8330c84e82580899597b9987259a1dc6347e3f5f2221a295f
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "299d374698ab19213926bf026f6cc14cae3203d1cf6f2e431db2bf9cc7a33bb5",
"cross_cats_sorted": [
"cs.CV"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CR",
"submitted_at": "2025-08-28T04:31:41Z",
"title_canon_sha256": "7c0fc95c5bab6ea4aa360978a02e0fe7505d78817b896ca93e5a5b8abf18ceee"
},
"schema_version": "1.0",
"source": {
"id": "2508.20414",
"kind": "arxiv",
"version": 1
}
}