Pith Number
pith:4QWFCXFL
pith:2024:4QWFCXFLHZDCSAFVJC4ASIJRP7
not attested
not anchored
not stored
refs pending
Using Diffusion Models as Generative Replay in Continual Federated Learning -- What will Happen?
arxiv:2411.06618 v1 · 2024-11-10 · cs.LG · cs.DC
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{4QWFCXFLHZDCSAFVJC4ASIJRP7}
Prints a linked badge after your title and injects PDF metadata. Compiles on arXiv. Learn more · Embed verified badge
Record completeness
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Bitcoin timestamp
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4
Citations
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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 | 2026-07-05T09:33:49.047171Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
e42c515cab3e462900b548b80921317fc42af04605fbc9b08e4c585af30460fc
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/4QWFCXFLHZDCSAFVJC4ASIJRP7 \
| 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: e42c515cab3e462900b548b80921317fc42af04605fbc9b08e4c585af30460fc
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "ed7c591610a67a1f9ecbc6a0befc589a0e462c3826d150872a78d2f28949d1e1",
"cross_cats_sorted": [
"cs.DC"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2024-11-10T22:48:21Z",
"title_canon_sha256": "58c6e7103f0040212be51dcab6cb527d5485de637b4698c5495bf4cf546745ea"
},
"schema_version": "1.0",
"source": {
"id": "2411.06618",
"kind": "arxiv",
"version": 1
}
}