Pith Number
pith:Q5EOBEZD
pith:2017:Q5EOBEZD2BLQKHEKN66TFTZRVM
not attested
not anchored
not stored
refs pending
Short-Term Forecasting of Passenger Demand under On-Demand Ride Services: A Spatio-Temporal Deep Learning Approach
arxiv:1706.06279 v1 · 2017-06-20 · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{Q5EOBEZD2BLQKHEKN66TFTZRVM}
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 | 2026-05-18T00:23:56.441324Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
8748e09323d057051c8a6fbd32cf31ab13a8081fdeccc8f035bf6c9714cb9829
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/Q5EOBEZD2BLQKHEKN66TFTZRVM \
| 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: 8748e09323d057051c8a6fbd32cf31ab13a8081fdeccc8f035bf6c9714cb9829
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "f25e04ed10c30dd22f3417a22ce1c5d3cb74b00304a3083dacfb2409c5850eb2",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2017-06-20T06:07:20Z",
"title_canon_sha256": "6792088418845113ee7c6beab0b8704724dccbe7e632e28ad044a1d764f38455"
},
"schema_version": "1.0",
"source": {
"id": "1706.06279",
"kind": "arxiv",
"version": 1
}
}