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Pith Number

pith:MGXL7REL

pith:2025:MGXL7REL7ZTCXIKERYGFF6NTXH
not attested not anchored not stored refs pending

Heterogeneous Federated Learning Systems for Time-Series Power Consumption Prediction with Multi-Head Embedding Mechanism

Gautam Srivastava, Jerry Chun-Wei Lin, Jia-Hao Syu, Unil Yun

arxiv:2501.12136 v1 · 2025-01-21 · cs.LG

Add to your LaTeX paper
\usepackage{pith}
\pithnumber{MGXL7REL7ZTCXIKERYGFF6NTXH}

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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 2026-07-05T10:03:31.920789Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

61aebfc48bfe662ba1448e0c52f9b3b9f0da1e3d1f6d67c89ed863cc56e9cf82

Aliases

arxiv: 2501.12136 · arxiv_version: 2501.12136v1 · doi: 10.48550/arxiv.2501.12136 · pith_short_12: MGXL7REL7ZTC · pith_short_16: MGXL7REL7ZTCXIKE · pith_short_8: MGXL7REL
Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/MGXL7REL7ZTCXIKERYGFF6NTXH \
  | 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: 61aebfc48bfe662ba1448e0c52f9b3b9f0da1e3d1f6d67c89ed863cc56e9cf82
Canonical record JSON
{
  "metadata": {
    "abstract_canon_sha256": "cda0440613186cc892f25229f1c3c3796f73fe2fa4ba76eb11dd606f41dee726",
    "cross_cats_sorted": [],
    "license": "http://creativecommons.org/licenses/by-nc-sa/4.0/",
    "primary_cat": "cs.LG",
    "submitted_at": "2025-01-21T13:49:38Z",
    "title_canon_sha256": "dcb8ff622a8d3d5f80147c150851009f1126e1deb41fa55fc413c8d34b089f68"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2501.12136",
    "kind": "arxiv",
    "version": 1
  }
}