Pith Number
pith:ZBNJFSKR
pith:2023:ZBNJFSKR65VIGRXWN5OOIGYIBR
not attested
not anchored
not stored
refs pending
StereoDistill: Pick the Cream from LiDAR for Distilling Stereo-based 3D Object Detection
arxiv:2301.01615 v2 · 2023-01-04 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{ZBNJFSKR65VIGRXWN5OOIGYIBR}
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 | 2026-07-05T05:31:19.874621Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
c85a92c951f76a8346f66f5ce41b080c62dc74c6b9c2fb5e0fe3b5d651083e78
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/ZBNJFSKR65VIGRXWN5OOIGYIBR \
| 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: c85a92c951f76a8346f66f5ce41b080c62dc74c6b9c2fb5e0fe3b5d651083e78
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "117ffd4e455bd292dd0e6379103b04aabb2b32bebe70b18e75edc4443c8345e9",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2023-01-04T13:38:48Z",
"title_canon_sha256": "a9db9bfbfa453e378a5d3b1936d18c6fd51d8c814fb18d15a8ea47dc628f5abd"
},
"schema_version": "1.0",
"source": {
"id": "2301.01615",
"kind": "arxiv",
"version": 2
}
}