Pith Number
pith:L6NJEGRQ
pith:2024:L6NJEGRQPPFPEPERGD5FUBKOB4
not attested
not anchored
not stored
refs pending
Real-time Accident Anticipation for Autonomous Driving Through Monocular Depth-Enhanced 3D Modeling
arxiv:2409.01256 v1 · 2024-09-02 · cs.CV · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{L6NJEGRQPPFPEPERGD5FUBKOB4}
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 | 2026-07-05T09:02:26.694859Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
5f9a921a307bcaf23c9130fa5a054e0f3a142854eee1fdc122e4f3ae568480da
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/L6NJEGRQPPFPEPERGD5FUBKOB4 \
| 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: 5f9a921a307bcaf23c9130fa5a054e0f3a142854eee1fdc122e4f3ae568480da
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "8c3f8203a9ae241dff744d91a987fd37fb34272079213c47995e1f7c5687fd6c",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2024-09-02T13:46:25Z",
"title_canon_sha256": "c07c82a6d42bc5325e90a4b9cb377f4d3bac8f766a13bdaa59f8a838b7709dd2"
},
"schema_version": "1.0",
"source": {
"id": "2409.01256",
"kind": "arxiv",
"version": 1
}
}