Pith Number
pith:67THSPZG
pith:2021:67THSPZGEBA42EA2NO3W2TTXSC
not attested
not anchored
not stored
refs pending
Cylindrical and Asymmetrical 3D Convolution Networks for LiDAR-based Perception
arxiv:2109.05441 v1 · 2021-09-12 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{67THSPZGEBA42EA2NO3W2TTXSC}
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 | 2026-07-05T03:13:38.987399Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
f7e6793f262041cd101a6bb76d4e7790bdcb7ac5c1535bc15da8fcc6a9047c18
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/67THSPZGEBA42EA2NO3W2TTXSC \
| 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: f7e6793f262041cd101a6bb76d4e7790bdcb7ac5c1535bc15da8fcc6a9047c18
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "e49f33f1bc6ca111f74ce3df272a18ad7725ec940397fec856249e0731d8fe7c",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by-nc-sa/4.0/",
"primary_cat": "cs.CV",
"submitted_at": "2021-09-12T06:25:11Z",
"title_canon_sha256": "d4c93df0bc8a9c0ffbca1a4426cab2e32e26ce9d0a07fe9cc018f8deabf6c14e"
},
"schema_version": "1.0",
"source": {
"id": "2109.05441",
"kind": "arxiv",
"version": 1
}
}