Pith Number
pith:6CFX23ZD
pith:2023:6CFX23ZDM7SKDIX3S6P5O3ORBE
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refs pending
Spatio-Temporal Graph Neural Networks for Predictive Learning in Urban Computing: A Survey
arxiv:2303.14483 v3 · 2023-03-25 · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{6CFX23ZDM7SKDIX3S6P5O3ORBE}
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Record completeness
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Bitcoin timestamp
2
Internet Archive
3
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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.
Cited by
Receipt and verification
| First computed | 2026-07-05T07:15:53.463631Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
f08b7d6f2367e4a1a2fb979fd76dd10911a9b648631e67a383b201c01ec9f07b
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/6CFX23ZDM7SKDIX3S6P5O3ORBE \
| 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: f08b7d6f2367e4a1a2fb979fd76dd10911a9b648631e67a383b201c01ec9f07b
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "7505a13c9aa96e783e9ead47c60c695ff702de2adb0f933225bbadca983f90a4",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2023-03-25T14:29:20Z",
"title_canon_sha256": "8faf7ee614610c009e9a05d8a4a40b35341039ecf988c297cc16ff5b620a5ae5"
},
"schema_version": "1.0",
"source": {
"id": "2303.14483",
"kind": "arxiv",
"version": 3
}
}