Pith Number
pith:RJD4SY72
pith:2020:RJD4SY72AWGFVXAIE6TU35LKCJ
not attested
not anchored
not stored
refs pending
ZoomNet: Part-Aware Adaptive Zooming Neural Network for 3D Object Detection
arxiv:2003.00529 v1 · 2020-03-01 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{RJD4SY72AWGFVXAIE6TU35LKCJ}
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 | 2026-07-05T00:44:48.120282Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
8a47c963fa058c5adc0827a74df56a125fd95f30367ec518f213dcddff9bb022
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/RJD4SY72AWGFVXAIE6TU35LKCJ \
| 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: 8a47c963fa058c5adc0827a74df56a125fd95f30367ec518f213dcddff9bb022
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "04a7417e8040e5736f3f46f5c84ffcb41e5ffce525cf9d46784555821dbd5e6b",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2020-03-01T17:18:08Z",
"title_canon_sha256": "b68ad1a06722b0dca4a534a23b068040de47d71e1f94f7407f6dac3fea648813"
},
"schema_version": "1.0",
"source": {
"id": "2003.00529",
"kind": "arxiv",
"version": 1
}
}