Pith Number
pith:EQBFBIQE
pith:2025:EQBFBIQEDQWPPXGCTYUPE6RBQC
not attested
not anchored
not stored
refs pending
Micromobility Flow Prediction: A Bike Sharing Station-level Study via Multi-level Spatial-Temporal Attention Neural Network
arxiv:2507.16020 v1 · 2025-07-21 · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{EQBFBIQEDQWPPXGCTYUPE6RBQC}
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
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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.
Cited by
Receipt and verification
| First computed | 2026-07-05T11:41:01.387454Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
240250a2041c2cf7dcc29e28f27a218096b62cffe2318590e211592c20210507
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/EQBFBIQEDQWPPXGCTYUPE6RBQC \
| 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: 240250a2041c2cf7dcc29e28f27a218096b62cffe2318590e211592c20210507
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "bbd0d9b3892ebf23ea0d8ba7071590d0fab99938d09621d5c162352767845707",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.AI",
"submitted_at": "2025-07-21T19:31:42Z",
"title_canon_sha256": "b2395800799e8dc6c988735fe44f96d79bca5f45046afb008cb056ebc52dd75d"
},
"schema_version": "1.0",
"source": {
"id": "2507.16020",
"kind": "arxiv",
"version": 1
}
}