Pith. sign in
Pith Number

pith:U3LG5OCA

pith:2025:U3LG5OCAWIC4VAUMN2GMTOVGQJ
not attested not anchored not stored refs pending

A Weighted Loss Approach to Robust Federated Learning under Data Heterogeneity

Diana Nurbakova, Elod Egyed-Zsigmond, Johan Erbani, Pierre-Edouard Portier, Sonia Ben Mokhtar

arxiv:2506.09824 v3 · 2025-06-11 · cs.LG

Add to your LaTeX paper
\usepackage{pith}
\pithnumber{U3LG5OCAWIC4VAUMN2GMTOVGQJ}

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 open · sign in to claim
4 Citations open
5 Replications open
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 2026-07-05T12:05:17.579787Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

a6d66eb840b205ca828c6e8cc9baa6827ac3f870e5452061bdbe7436d990b338

Aliases

arxiv: 2506.09824 · arxiv_version: 2506.09824v3 · doi: 10.48550/arxiv.2506.09824 · pith_short_12: U3LG5OCAWIC4 · pith_short_16: U3LG5OCAWIC4VAUM · pith_short_8: U3LG5OCA
Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/U3LG5OCAWIC4VAUMN2GMTOVGQJ \
  | 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: a6d66eb840b205ca828c6e8cc9baa6827ac3f870e5452061bdbe7436d990b338
Canonical record JSON
{
  "metadata": {
    "abstract_canon_sha256": "f081fb4c582087e5ef4bf61f8c19bc70078940cc77a5061cafdca8d32e06729c",
    "cross_cats_sorted": [],
    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "cs.LG",
    "submitted_at": "2025-06-11T15:04:43Z",
    "title_canon_sha256": "4c2bc9c202642b5c8fa51a4f3090c0e6f8fb8bcaa93007e49f713c8b1808d407"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2506.09824",
    "kind": "arxiv",
    "version": 3
  }
}