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Pith Number

pith:EEUUK4N4

pith:2025:EEUUK4N4OYQXZEMR5QHZA3MFHN
not attested not anchored not stored refs pending

Applying Ensemble Models based on Graph Neural Network and Reinforcement Learning for Wind Power Forecasting

Hongjin Song, Qianrun Chen, Songtao Huang, Tianqi Jiang, Wenjun Xi, Xusheng Li, Yongfeng Li

arxiv:2501.16591 v1 · 2025-01-28 · cs.LG · cs.AI

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\usepackage{pith}
\pithnumber{EEUUK4N4OYQXZEMR5QHZA3MFHN}

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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 2026-07-05T10:06:15.554347Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

21294571bc76217c9191ec0f906d853b52fe1194a671f6e6eb5e35668cd1d078

Aliases

arxiv: 2501.16591 · arxiv_version: 2501.16591v1 · doi: 10.48550/arxiv.2501.16591 · pith_short_12: EEUUK4N4OYQX · pith_short_16: EEUUK4N4OYQXZEMR · pith_short_8: EEUUK4N4
Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/EEUUK4N4OYQXZEMR5QHZA3MFHN \
  | 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: 21294571bc76217c9191ec0f906d853b52fe1194a671f6e6eb5e35668cd1d078
Canonical record JSON
{
  "metadata": {
    "abstract_canon_sha256": "65f29ac902b0baef8fa2bce9e7b4ef5d3f05bb579d412e614a06c15f50d23fd9",
    "cross_cats_sorted": [
      "cs.AI"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.LG",
    "submitted_at": "2025-01-28T00:12:26Z",
    "title_canon_sha256": "603a4f75b36c459277bf3c300d7b93fed3b2acf04fb620c416a91bc3a62e4e2a"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2501.16591",
    "kind": "arxiv",
    "version": 1
  }
}