Pith Number
pith:EZLQ7R57
pith:2025:EZLQ7R57DITQQKWN3SCV4HHR6G
not attested
not anchored
not stored
refs pending
Machine Learning Surrogates for Optimizing Transportation Policies with Agent-Based Models
arxiv:2501.11057 v2 · 2025-01-19 · cs.CE
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{EZLQ7R57DITQQKWN3SCV4HHR6G}
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
· sign in to
claim
4
Citations
5
Replications
✓
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 | 2026-07-05T10:15:24.589572Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
26570fc7bf1a27082acddc855e1cf1f1b1764e4bce396f8dcce7c6633892a516
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/EZLQ7R57DITQQKWN3SCV4HHR6G \
| 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: 26570fc7bf1a27082acddc855e1cf1f1b1764e4bce396f8dcce7c6633892a516
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "ca174fee520a04f85f3a44d1b361408c649d11c4bc3338b88ccf5462a4b4e59c",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by-nc-nd/4.0/",
"primary_cat": "cs.CE",
"submitted_at": "2025-01-19T14:21:33Z",
"title_canon_sha256": "fabd5a4159e11a3f84f8f63fa3ffb2f9757f1d733e65b665642c5ddaac6953fb"
},
"schema_version": "1.0",
"source": {
"id": "2501.11057",
"kind": "arxiv",
"version": 2
}
}