Pith Number
pith:IW5LFJX7
pith:2019:IW5LFJX7OUJCYIL46WNMRNGG6K
not attested
not anchored
not stored
refs pending
Deep Learning for Spatio-Temporal Data Mining: A Survey
arxiv:1906.04928 v2 · 2019-06-11 · cs.LG · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{IW5LFJX7OUJCYIL46WNMRNGG6K}
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 | 2026-05-17T23:42:41.392700Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
45bab2a6ff75122c217cf59ac8b4c6f2b2d4f636b01541c0e573ce797d56e348
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/IW5LFJX7OUJCYIL46WNMRNGG6K \
| 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: 45bab2a6ff75122c217cf59ac8b4c6f2b2d4f636b01541c0e573ce797d56e348
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "6427b817fd762fa5a1a5ab7ee084a9ecd86344b4ebb47977008be88b773e3c04",
"cross_cats_sorted": [
"stat.ML"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2019-06-11T13:43:54Z",
"title_canon_sha256": "db0110b803ca5e6e687b6eab19c3a9d31d22c7a8fd9056200571239b4f8048d8"
},
"schema_version": "1.0",
"source": {
"id": "1906.04928",
"kind": "arxiv",
"version": 2
}
}