Pith Number
pith:Q2HYT3LL
pith:2018:Q2HYT3LLQYZ4SMJXW7IWDRYUIW
not attested
not anchored
not stored
refs pending
Machine Learning for Spatiotemporal Sequence Forecasting: A Survey
arxiv:1808.06865 v1 · 2018-08-21 · cs.LG · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{Q2HYT3LLQYZ4SMJXW7IWDRYUIW}
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 | 2026-05-18T00:07:38.841029Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
868f89ed6b8633c93137b7d161c7144585d10b7c82f62f62096fa172c30c8318
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/Q2HYT3LLQYZ4SMJXW7IWDRYUIW \
| 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: 868f89ed6b8633c93137b7d161c7144585d10b7c82f62f62096fa172c30c8318
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "a3e27afaf2dbb0e1ef4a5b09521136735a0c24bbd1c857e491adfd88762aa3ca",
"cross_cats_sorted": [
"stat.ML"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2018-08-21T12:17:08Z",
"title_canon_sha256": "469898a7847e62228f72c2636a73bbdc0c4af5a39973c4f322cb737586d34b18"
},
"schema_version": "1.0",
"source": {
"id": "1808.06865",
"kind": "arxiv",
"version": 1
}
}