Pith Number
pith:VRGZJZPV
pith:2021:VRGZJZPVGGSB47FSSML2SK6N5L
not attested
not anchored
not stored
refs pending
Spatio-temporal graph neural networks for multi-site PV power forecasting
arxiv:2107.13875 v2 · 2021-07-29 · cs.LG · eess.SP
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{VRGZJZPVGGSB47FSSML2SK6N5L}
Prints a linked badge after your title and injects PDF metadata. Compiles on arXiv. Learn more · Embed verified badge
Record completeness
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Bitcoin timestamp
2
Internet Archive
3
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claim
4
Citations
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Replications
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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 | 2026-07-05T03:29:51.191486Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
ac4d94e5f531a41e7cb29317a92bcdeae4f1ba3baeacfe440266a57d1739137c
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/VRGZJZPVGGSB47FSSML2SK6N5L \
| 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: ac4d94e5f531a41e7cb29317a92bcdeae4f1ba3baeacfe440266a57d1739137c
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "0fd5a829a95ce06cedbf083be8ab048310d14c6febcc1e5c154a213bcfc3839e",
"cross_cats_sorted": [
"eess.SP"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2021-07-29T10:15:01Z",
"title_canon_sha256": "483ec84cd780a4b5fcb56fdbb0e620d1d82db83b7417d3f8b17ad9fb0a0e3e2e"
},
"schema_version": "1.0",
"source": {
"id": "2107.13875",
"kind": "arxiv",
"version": 2
}
}