Pith Number
pith:3Z4YGDPD
pith:2016:3Z4YGDPDZ2ROT6RMJJGI5KTRVA
not attested
not anchored
not stored
refs pending
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
arxiv:1612.00593 v2 · 2016-12-02 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{3Z4YGDPDZ2ROT6RMJJGI5KTRVA}
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 | 2026-05-18T00:46:38.696730Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
de79830de3cea2e9fa2c4a4c8eaa71a83a25e435cf65d62924ce7d494eed3afb
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/3Z4YGDPDZ2ROT6RMJJGI5KTRVA \
| 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: de79830de3cea2e9fa2c4a4c8eaa71a83a25e435cf65d62924ce7d494eed3afb
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "7df9447e891b2edb9ee92db59bb3e03c7675991616df9c590f872368c59b3027",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2016-12-02T08:40:40Z",
"title_canon_sha256": "5be4c2e8a966c1b362799ff2635325d378d9242b0c3d150969eeb534c92b0275"
},
"schema_version": "1.0",
"source": {
"id": "1612.00593",
"kind": "arxiv",
"version": 2
}
}