Pith Number
pith:5H6ZP4DS
pith:2025:5H6ZP4DSOQN3HEEY4TSY5XPD5U
not attested
not anchored
not stored
refs pending
FedSA: A Unified Representation Learning via Semantic Anchors for Prototype-based Federated Learning
arxiv:2501.05496 v2 · 2025-01-09 · cs.LG · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{5H6ZP4DSOQN3HEEY4TSY5XPD5U}
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 | 2026-07-05T11:01:30.743455Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
e9fd97f072741bb39098e4e58edde3ed0c9ab0a73c42df00e529bb3ca279e908
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/5H6ZP4DSOQN3HEEY4TSY5XPD5U \
| 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: e9fd97f072741bb39098e4e58edde3ed0c9ab0a73c42df00e529bb3ca279e908
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "939e59807c9b4f9e6ee2b78760a416f0efa155fe884a21db18a391a2aad44d80",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://creativecommons.org/licenses/by-nc-nd/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2025-01-09T16:10:03Z",
"title_canon_sha256": "7eb61afa1d6a9371f8bde2d5723fd0e931d949be333d405d12b8b5fa6fe216f9"
},
"schema_version": "1.0",
"source": {
"id": "2501.05496",
"kind": "arxiv",
"version": 2
}
}