Pith Number
pith:D6KPFSEW
pith:2022:D6KPFSEWNM3ZB25RNTZ5WJYCDJ
not attested
not anchored
not stored
refs pending
Physics Embedded Neural Network Vehicle Model and Applications in Risk-Aware Autonomous Driving Using Latent Features
arxiv:2207.07920 v1 · 2022-07-16 · cs.RO · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{D6KPFSEWNM3ZB25RNTZ5WJYCDJ}
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.
Receipt and verification
| First computed | 2026-07-05T04:40:58.469952Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
1f94f2c8966b3790ebb16cf3db27021a7521f24a66b40f4a3d00f79115569f89
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/D6KPFSEWNM3ZB25RNTZ5WJYCDJ \
| 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: 1f94f2c8966b3790ebb16cf3db27021a7521f24a66b40f4a3d00f79115569f89
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "a7a960172f8e0226d851d306e0aa17dec5b5b5f55ebf0238934a0dd51dbc1430",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.RO",
"submitted_at": "2022-07-16T12:06:55Z",
"title_canon_sha256": "69905b127b7da3b78a1477317fde7edce924e88afb5d006acaafd4ebf379d483"
},
"schema_version": "1.0",
"source": {
"id": "2207.07920",
"kind": "arxiv",
"version": 1
}
}