Pith Number
pith:UAZHQLIP
pith:2020:UAZHQLIPI7HXFQZX67C36FJMY7
not attested
not anchored
not stored
refs pending
Adaptive Reinforcement Learning Model for Simulation of Urban Mobility during Crises
arxiv:2009.01359 v1 · 2020-09-02 · physics.soc-ph · cs.CY
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{UAZHQLIPI7HXFQZX67C36FJMY7}
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.
Cited by
Receipt and verification
| First computed | 2026-07-05T01:32:48.564804Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
a032782d0f47cf72c337f7c5bf152cc7fbb62b49feb0683c50faa68dbaebc121
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/UAZHQLIPI7HXFQZX67C36FJMY7 \
| 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: a032782d0f47cf72c337f7c5bf152cc7fbb62b49feb0683c50faa68dbaebc121
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "1dfb0e3111c7a073d5d888d9859e99b9f6cc2c2569574bcf8261b8f3c13798b1",
"cross_cats_sorted": [
"cs.CY"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "physics.soc-ph",
"submitted_at": "2020-09-02T21:47:18Z",
"title_canon_sha256": "c2f36f6f2a84a36edec4e86e56c12c1449fdcc49b1305567cbb1aeb704cdc824"
},
"schema_version": "1.0",
"source": {
"id": "2009.01359",
"kind": "arxiv",
"version": 1
}
}