Pith Number
pith:FGTUMTX7
pith:2023:FGTUMTX7QTF32MZ7ISECLAXAUC
not attested
not anchored
not stored
refs pending
DSTCGCN: Learning Dynamic Spatial-Temporal Cross Dependencies for Traffic Forecasting
arxiv:2307.00518 v1 · 2023-07-02 · cs.LG · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{FGTUMTX7QTF32MZ7ISECLAXAUC}
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.
Cited by
Receipt and verification
| First computed | 2026-07-05T06:26:56.997343Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
29a7464eff84cbbd333f44882582e0a0a0f3f7c3740967c1ad5b6a9a79d8e16f
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/FGTUMTX7QTF32MZ7ISECLAXAUC \
| 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: 29a7464eff84cbbd333f44882582e0a0a0f3f7c3740967c1ad5b6a9a79d8e16f
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "904692408acd74cc685ee6cf7dce00acabfe6b1b8967ef4764667a102e441ed5",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2023-07-02T08:53:10Z",
"title_canon_sha256": "9de10ad5a838643b03c17ec3fe91d118a6d6a596cf10e1a444a5a9351d2fc20c"
},
"schema_version": "1.0",
"source": {
"id": "2307.00518",
"kind": "arxiv",
"version": 1
}
}