Pith Number
pith:BZWFRALU
pith:2019:BZWFRALUJJZC363KKN6HHRJ2YC
not attested
not anchored
not stored
refs pending
Data-driven simulation of pedestrian collision avoidance with a nonparametric neural network
arxiv:1907.07702 v1 · 2019-07-17 · physics.soc-ph
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{BZWFRALUJJZC363KKN6HHRJ2YC}
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.
Receipt and verification
| First computed | 2026-05-17T23:40:16.706851Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
0e6c5881744a722dfb6a537c73c53ac0a3fbecc606c05273078f80591aaff650
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/BZWFRALUJJZC363KKN6HHRJ2YC \
| 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: 0e6c5881744a722dfb6a537c73c53ac0a3fbecc606c05273078f80591aaff650
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "410a3e20ebb451cf2b91581d469db9c63c5e135144fa31e594aef64c951c7627",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by-nc-sa/4.0/",
"primary_cat": "physics.soc-ph",
"submitted_at": "2019-07-17T18:14:30Z",
"title_canon_sha256": "ff1e20f85573fe6ecb09b18d3773e6cfbe00895f2b899f0f503177323f1708cc"
},
"schema_version": "1.0",
"source": {
"id": "1907.07702",
"kind": "arxiv",
"version": 1
}
}