Pith. sign in
Pith Number

pith:DKJ63YG7

pith:2025:DKJ63YG7O5WZM5D6D2RH54ESJH
not attested not anchored not stored refs pending

Semi-Supervised Federated Learning via Dual Contrastive Learning and Soft Labeling for Intelligent Fault Diagnosis

Jun Li, Sheng Guo, Shi Jin, Wei Xiang, Yajiao Dai, Yiyang Ni, Zengxiang Li, Zhen Mei

arxiv:2507.14181 v1 · 2025-07-12 · cs.LG · cs.AI

Add to your LaTeX paper
\usepackage{pith}
\pithnumber{DKJ63YG7O5WZM5D6D2RH54ESJH}

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 2026-07-05T11:39:30.332222Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

1a93ede0df776d96747e1ea27ef09249d48f1880ce6f8e6966c21354dd1d60b3

Aliases

arxiv: 2507.14181 · arxiv_version: 2507.14181v1 · doi: 10.48550/arxiv.2507.14181 · pith_short_12: DKJ63YG7O5WZ · pith_short_16: DKJ63YG7O5WZM5D6 · pith_short_8: DKJ63YG7
Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/DKJ63YG7O5WZM5D6D2RH54ESJH \
  | 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: 1a93ede0df776d96747e1ea27ef09249d48f1880ce6f8e6966c21354dd1d60b3
Canonical record JSON
{
  "metadata": {
    "abstract_canon_sha256": "3a9a1f2acf7d0e6633dd1b2fcc1bb3b537a1035b7bbc00663f8408ea2c675973",
    "cross_cats_sorted": [
      "cs.AI"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.LG",
    "submitted_at": "2025-07-12T10:54:23Z",
    "title_canon_sha256": "1c15a7af00a8e676497b772893e1860e9e7d96bc96cc859cb8de9c6d21dc86c9"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2507.14181",
    "kind": "arxiv",
    "version": 1
  }
}