Pith Number
pith:GOTJLFIH
pith:2020:GOTJLFIHSMCP4KWQ4BKIITM3AL
not attested
not anchored
not stored
refs pending
Safety-Aware Hardening of 3D Object Detection Neural Network Systems
arxiv:2003.11242 v3 · 2020-03-25 · cs.LG · cs.CV · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{GOTJLFIHSMCP4KWQ4BKIITM3AL}
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 | 2026-07-05T00:52:08.037529Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
33a69595079304fe2ad0e054844d9b02ed089c1063b4bd91ebd804c270aa17bb
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/GOTJLFIHSMCP4KWQ4BKIITM3AL \
| 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: 33a69595079304fe2ad0e054844d9b02ed089c1063b4bd91ebd804c270aa17bb
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "ee55dfe40a5e5ea0b64bce9729d763901acd0d95454ff8989a90a90f7d212fd1",
"cross_cats_sorted": [
"cs.CV",
"stat.ML"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2020-03-25T07:06:11Z",
"title_canon_sha256": "bb6efa3698cdff1d053c97b077e520bf5e2f9e3d9db0b0b1d9e239b5460cc16f"
},
"schema_version": "1.0",
"source": {
"id": "2003.11242",
"kind": "arxiv",
"version": 3
}
}