Pith Number
pith:H55X7YEM
pith:2022:H55X7YEMRCUIA73TOI3P5JXRVP
not attested
not anchored
not stored
refs pending
Graph Neural Networks for Multivariate Time Series Regression with Application to Seismic Data
arxiv:2201.00818 v3 · 2022-01-03 · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{H55X7YEMRCUIA73TOI3P5JXRVP}
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 | 2026-07-05T05:12:10.155856Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
3f7b7fe08c88a8807f737236fea6f1abf387170e8ff32bd0f8004facf4f11153
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/H55X7YEMRCUIA73TOI3P5JXRVP \
| 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: 3f7b7fe08c88a8807f737236fea6f1abf387170e8ff32bd0f8004facf4f11153
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "174e82eb2c9d08693e56e2cd3f1df61cec6500b11e818ab13d96c6c461e32867",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2022-01-03T16:11:46Z",
"title_canon_sha256": "29d24e2592609d90f2777911a29097276aa55a53cb1ddc08419e47a8c8e55d7f"
},
"schema_version": "1.0",
"source": {
"id": "2201.00818",
"kind": "arxiv",
"version": 3
}
}