Pith Number
pith:FDKHPIAC
pith:2024:FDKHPIACYD5W2PMGVL5CYAFFUN
not attested
not anchored
not stored
refs pending
LiDAR-PTQ: Post-Training Quantization for Point Cloud 3D Object Detection
arxiv:2401.15865 v1 · 2024-01-29 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{FDKHPIACYD5W2PMGVL5CYAFFUN}
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 | 2026-07-05T07:38:40.887005Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
28d477a002c0fb6d3d86aafa2c00a5a352b880c9af7d3cee2b81cb20188631de
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/FDKHPIACYD5W2PMGVL5CYAFFUN \
| 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: 28d477a002c0fb6d3d86aafa2c00a5a352b880c9af7d3cee2b81cb20188631de
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "727808afd735071373aade318cffb0d6188aeca05439e5f7a21d392f3e0765c6",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by-nc-sa/4.0/",
"primary_cat": "cs.CV",
"submitted_at": "2024-01-29T03:35:55Z",
"title_canon_sha256": "928674a878ba8273fbea512e6fb94379f384cf0fb0c2008c6fd9bf5ff74fb8db"
},
"schema_version": "1.0",
"source": {
"id": "2401.15865",
"kind": "arxiv",
"version": 1
}
}