Pith Number
pith:EDWRA3R3
pith:2019:EDWRA3R3ZGRNDDBE6WWGCJEGRY
not attested
not anchored
not stored
refs pending
A Deep Spatio-Temporal Fuzzy Neural Network for Passenger Demand Prediction
arxiv:1905.05614 v1 · 2019-05-13 · cs.LG · cs.NE
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{EDWRA3R3ZGRNDDBE6WWGCJEGRY}
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 | 2026-05-17T23:46:14.047309Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
20ed106e3bc9a2d18c24f5ac6124868e38ff3d15e43536a63ee5b7629ec34852
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/EDWRA3R3ZGRNDDBE6WWGCJEGRY \
| 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: 20ed106e3bc9a2d18c24f5ac6124868e38ff3d15e43536a63ee5b7629ec34852
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "5c0d472b8a26ba51c45a8c26fc0fa1b8d665b38b32ae7b9b1b672e497b902390",
"cross_cats_sorted": [
"cs.NE"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2019-05-13T15:57:14Z",
"title_canon_sha256": "9eb8140c9c59e024869936601ed309cd506191f6857caf53205973f6eb19e6f0"
},
"schema_version": "1.0",
"source": {
"id": "1905.05614",
"kind": "arxiv",
"version": 1
}
}