Pith Number

pith:IUONRU2M

pith:2020:IUONRU2MPTQCSVUIYUE5GSHRVZ

not attested not anchored not stored refs pending

Connecting the Dots: Multivariate Time Series Forecasting with Graph Neural Networks

Chengqi Zhang, Guodong Long, Jing Jiang, Shirui Pan, Xiaojun Chang, Zonghan Wu

arxiv:2005.11650 v1 · 2020-05-24 · cs.LG · stat.ML

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Add to your LaTeX paper

\usepackage{pith}
\pithnumber{IUONRU2MPTQCSVUIYUE5GSHRVZ}

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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.

Cited by

1 paper in Pith

BuildSTG: A Multi-building Energy Load Forecasting Method using Spatio-Temporal Graph Neural Network

Receipt and verification

First computed	2026-07-05T01:05:28.247519Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

451cd8d34c7ce0295688c509d348f1ae60502143f4329ffee7a625ddef1e7b01

Aliases

arxiv: 2005.11650 · arxiv_version: 2005.11650v1 · doi: 10.48550/arxiv.2005.11650 · pith_short_12: IUONRU2MPTQC · pith_short_16: IUONRU2MPTQCSVUI · pith_short_8: IUONRU2M

Agent API

Resolver JSON Graph JSON Events JSON Schema Signing key

Verify this Pith Number yourself

curl -sH 'Accept: application/ld+json' https://pith.science/pith/IUONRU2MPTQCSVUIYUE5GSHRVZ \
  | 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: 451cd8d34c7ce0295688c509d348f1ae60502143f4329ffee7a625ddef1e7b01

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "53100ff085fc952aeb1dd00941a16b6553ac2f5947cd415dd755a8f0dbd4c5e8",
    "cross_cats_sorted": [
      "stat.ML"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.LG",
    "submitted_at": "2020-05-24T04:02:18Z",
    "title_canon_sha256": "7756ab88494b73b62ab9ca49f6fa5b55a199f0ca6271e98ec7da98571f072967"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2005.11650",
    "kind": "arxiv",
    "version": 1
  }
}