Pith Number
pith:IWTPWLNW
pith:2019:IWTPWLNWQJ46MU6FXAWTYK7XJI
not attested
not anchored
not stored
refs pending
OmniDRL: Robust Pedestrian Detection using Deep Reinforcement Learning on Omnidirectional Cameras
arxiv:1903.00676 v1 · 2019-03-02 · cs.CV · cs.RO
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{IWTPWLNWQJ46MU6FXAWTYK7XJI}
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 | 2026-05-17T23:52:13.709563Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
45a6fb2db68279e653c5b82d3c2bf74a1e45d0a15ff648d117c27371cd819196
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/IWTPWLNWQJ46MU6FXAWTYK7XJI \
| 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: 45a6fb2db68279e653c5b82d3c2bf74a1e45d0a15ff648d117c27371cd819196
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "ecb14e414a10663edd1e7f96133ef266e991cf9008a620977b9196cfbe24b0f4",
"cross_cats_sorted": [
"cs.RO"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2019-03-02T10:16:38Z",
"title_canon_sha256": "a77b41176ef2e30a040ff0e054ae4a79d1bb19f6569c51139408d56c934ddbcb"
},
"schema_version": "1.0",
"source": {
"id": "1903.00676",
"kind": "arxiv",
"version": 1
}
}