Pith Number
pith:MFMUARAF
pith:2017:MFMUARAFP3D24KWL3LP4Z76NRB
not attested
not anchored
not stored
refs pending
Frustum PointNets for 3D Object Detection from RGB-D Data
arxiv:1711.08488 v2 · 2017-11-22 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{MFMUARAFP3D24KWL3LP4Z76NRB}
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.
Cited by
Receipt and verification
| First computed | 2026-05-18T00:18:35.844410Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
61594044057ec7ae2acbdadfccffcd886220fe305ab6db26434ae1ebd3735876
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/MFMUARAFP3D24KWL3LP4Z76NRB \
| 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: 61594044057ec7ae2acbdadfccffcd886220fe305ab6db26434ae1ebd3735876
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "e886c5a85e64991dab29757149afa5ffe3317c3c7473c6c0f1f2c04ce2d8fb1f",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2017-11-22T19:52:18Z",
"title_canon_sha256": "a2aed163b34e23510065ab544cba9e99b21ae7d4ba75a9ab47024d7c36b0b5b5"
},
"schema_version": "1.0",
"source": {
"id": "1711.08488",
"kind": "arxiv",
"version": 2
}
}