Pith Number
pith:PQW2H3CQ
pith:2019:PQW2H3CQM3QSTMNVYM2DXLSTDH
not attested
not anchored
not stored
refs pending
STG2Seq: Spatial-temporal Graph to Sequence Model for Multi-step Passenger Demand Forecasting
arxiv:1905.10069 v1 · 2019-05-24 · cs.LG · cs.AI · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{PQW2H3CQM3QSTMNVYM2DXLSTDH}
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 | 2026-05-17T23:45:11.501074Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
7c2da3ec5066e129b1b5c3343bae5319f2a6c283a40cbc57a999e6721f9d71b2
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/PQW2H3CQM3QSTMNVYM2DXLSTDH \
| 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: 7c2da3ec5066e129b1b5c3343bae5319f2a6c283a40cbc57a999e6721f9d71b2
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "b91d479fdd49f383373e4315b819e7ed6bdfd88ed542073561c6938c939ee23e",
"cross_cats_sorted": [
"cs.AI",
"stat.ML"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2019-05-24T07:24:09Z",
"title_canon_sha256": "610b16ba3c9f99189223eb161dcf6076a55380030239361cba06b0cd0efd9871"
},
"schema_version": "1.0",
"source": {
"id": "1905.10069",
"kind": "arxiv",
"version": 1
}
}