Pith Number
pith:HOZICOIQ
pith:2019:HOZICOIQ4QJH6XPD4SI5SOLLA7
not attested
not anchored
not stored
refs pending
A Spatial-Temporal Decomposition Based Deep Neural Network for Time Series Forecasting
arxiv:1902.00636 v1 · 2019-02-02 · cs.LG · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{HOZICOIQ4QJH6XPD4SI5SOLLA7}
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 | 2026-05-17T23:54:52.591378Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
3bb2813910e4127f5de3e491d9396b07e80abc34840ddb8d514a442cce5e209d
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/HOZICOIQ4QJH6XPD4SI5SOLLA7 \
| 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: 3bb2813910e4127f5de3e491d9396b07e80abc34840ddb8d514a442cce5e209d
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "a6b374ce58c9ebf3758e68e401058d1fb9fd2d278ff7e7d631815a2c001091ce",
"cross_cats_sorted": [
"stat.ML"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2019-02-02T03:28:34Z",
"title_canon_sha256": "cfb4b60dda2730e384baebc0313e5124e1b33ff45cbc75cfd5d0496e7ef55a65"
},
"schema_version": "1.0",
"source": {
"id": "1902.00636",
"kind": "arxiv",
"version": 1
}
}