Pith Number
pith:DAI32D4B
pith:2018:DAI32D4BOUW2EUV6RTMB6GCYJW
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Multivariate Arrival Times with Recurrent Neural Networks for Personalized Demand Forecasting
arxiv:1812.11444 v1 · 2018-12-29 · stat.ML · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{DAI32D4BOUW2EUV6RTMB6GCYJW}
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Record completeness
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Bitcoin timestamp
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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 | 2026-05-17T23:57:11.942451Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
1811bd0f81752da252be8cd81f18584d93a1d8377ca4bc2dc0ee6cf4874c8b3e
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/DAI32D4BOUW2EUV6RTMB6GCYJW \
| 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: 1811bd0f81752da252be8cd81f18584d93a1d8377ca4bc2dc0ee6cf4874c8b3e
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "23c830d98b44c8e1bf22e1275a883ebebfd1f4c261097b07457a510ac85e6839",
"cross_cats_sorted": [
"cs.LG"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "stat.ML",
"submitted_at": "2018-12-29T23:23:29Z",
"title_canon_sha256": "e0945fe41a158b46f72afb4cf3078563bfc83803818f8e42ad28f815a60e8bc4"
},
"schema_version": "1.0",
"source": {
"id": "1812.11444",
"kind": "arxiv",
"version": 1
}
}