Pith Number
pith:TP5TJCXU
pith:2026:TP5TJCXUSBCICW3VS7422JOE5W
not attested
not anchored
not stored
refs pending
Improving Crash Frequency Prediction from Simulated Traffic Conflicts Using Machine Learning Based Microsimulation
arxiv:2606.12500 v1 · 2026-06-10 · cs.LG · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{TP5TJCXUSBCICW3VS7422JOE5W}
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.
Receipt and verification
| First computed | 2026-06-12T00:07:52.561702Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
9bfb348af49044815b7597f9ad25c4eda73ba24690ff6a3c74ceb43064100de7
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/TP5TJCXUSBCICW3VS7422JOE5W \
| 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: 9bfb348af49044815b7597f9ad25c4eda73ba24690ff6a3c74ceb43064100de7
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "041bf4e3bf8b2f2dba894a7aecdf1b3b019c43f9fdb14462e744053b7e7effa6",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2026-06-10T15:43:20Z",
"title_canon_sha256": "430733a79b35ee629948726109179c8969e20b242f939bb5e14d8d5b409bbd71"
},
"schema_version": "1.0",
"source": {
"id": "2606.12500",
"kind": "arxiv",
"version": 1
}
}