Pith Number
pith:ICVG4GK2
pith:2022:ICVG4GK2OUUAZ52T6VZO46RIE7
not attested
not anchored
not stored
refs pending
Decoupled Dynamic Spatial-Temporal Graph Neural Network for Traffic Forecasting
arxiv:2206.09112 v4 · 2022-06-18 · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{ICVG4GK2OUUAZ52T6VZO46RIE7}
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
· sign in to
claim
4
Citations
5
Replications
✓
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 | 2026-07-05T04:54:21.617590Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
40aa6e195a75280cf753f572ee7a2827eb66f43c964ebb2943080ec5381bfbcf
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/ICVG4GK2OUUAZ52T6VZO46RIE7 \
| 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: 40aa6e195a75280cf753f572ee7a2827eb66f43c964ebb2943080ec5381bfbcf
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "5d64ecae4789ec284f4889a6ec84746e8e6604a2c387358d4b75773c952c9f85",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by-nc-nd/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2022-06-18T04:14:38Z",
"title_canon_sha256": "d44f271980b9db3a04e97f63f10c732bdba27aa5384fffcd1f0e469d3d6d07a4"
},
"schema_version": "1.0",
"source": {
"id": "2206.09112",
"kind": "arxiv",
"version": 4
}
}