Pith Number
pith:HCOFLUQT
pith:2023:HCOFLUQTXSXGEPNGH4NAVBVZ7Z
not attested
not anchored
not stored
refs pending
Graph Neural Processes for Spatio-Temporal Extrapolation
arxiv:2305.18719 v1 · 2023-05-30 · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{HCOFLUQTXSXGEPNGH4NAVBVZ7Z}
Prints a linked badge after your title and injects PDF metadata. Compiles on arXiv. Learn more · Embed verified badge
Record completeness
1
Bitcoin timestamp
2
Internet Archive
3
Author claim
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claim
4
Citations
5
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 | 2026-07-05T06:15:04.086036Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
389c55d213bcae623da63f1a0a86b9fe54ef6c4de45e8aaea4e46b2bef5d0755
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/HCOFLUQTXSXGEPNGH4NAVBVZ7Z \
| 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: 389c55d213bcae623da63f1a0a86b9fe54ef6c4de45e8aaea4e46b2bef5d0755
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "03c66eba3a42d2fe5a526e00ad78665c01cd7d922b2bb6db6c8b69c95e615209",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2023-05-30T03:55:37Z",
"title_canon_sha256": "a1b2b9c630dba33d2af5faa8e93fe38ce2829133fcc81dc77dfb7670e6fd4186"
},
"schema_version": "1.0",
"source": {
"id": "2305.18719",
"kind": "arxiv",
"version": 1
}
}