Pith Number
pith:UYFXE7HU
pith:2025:UYFXE7HUBVESDX62YLA5ZDWZFI
not attested
not anchored
not stored
refs pending
Deep Learning Advances in Vision-Based Traffic Accident Anticipation: A Comprehensive Review of Methods, Datasets, and Future Directions
arxiv:2505.07611 v2 · 2025-05-12 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{UYFXE7HUBVESDX62YLA5ZDWZFI}
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 | 2026-07-05T12:04:34.641551Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
a60b727cf40d4921dfdac2c1dc8ed92a3ea2906e61a05616e1b747d8e3c461e8
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/UYFXE7HUBVESDX62YLA5ZDWZFI \
| 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: a60b727cf40d4921dfdac2c1dc8ed92a3ea2906e61a05616e1b747d8e3c461e8
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "dd36d017c219e0e957a86136c639dad595835449c37408298513515912f839e6",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CV",
"submitted_at": "2025-05-12T14:34:22Z",
"title_canon_sha256": "d3be89ce639c37f8328252ac15140ac407bc05096c78ffbc55d04c1f91f6512e"
},
"schema_version": "1.0",
"source": {
"id": "2505.07611",
"kind": "arxiv",
"version": 2
}
}