Pith Number
pith:DZVDOW6U
pith:2025:DZVDOW6UH5HKAVFG4UC3SVBTHE
not attested
not anchored
not stored
refs pending
Large Foundation Models for Trajectory Prediction in Autonomous Driving: A Comprehensive Survey
arxiv:2509.10570 v1 · 2025-09-11 · cs.RO · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{DZVDOW6UH5HKAVFG4UC3SVBTHE}
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 | 2026-07-05T12:11:23.645845Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
1e6a375bd43f4ea054a6e505b95433393bdbb65a067c9419f949fa2ed699146f
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/DZVDOW6UH5HKAVFG4UC3SVBTHE \
| 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: 1e6a375bd43f4ea054a6e505b95433393bdbb65a067c9419f949fa2ed699146f
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "a2e86e01b38138563c14ae0ce534f74d1adc88e4a139d6024aca0a84973eb145",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.RO",
"submitted_at": "2025-09-11T10:30:06Z",
"title_canon_sha256": "db6f704738166d3b1bf9d98e0891c64283be7f600d77af8aac34bb93f30279a5"
},
"schema_version": "1.0",
"source": {
"id": "2509.10570",
"kind": "arxiv",
"version": 1
}
}