Pith Number
pith:JHNOSHPY
pith:2018:JHNOSHPYGSOBPJP5KFOD7QMKKF
not attested
not anchored
not stored
refs pending
Boosting LiDAR-based Semantic Labeling by Cross-Modal Training Data Generation
arxiv:1804.09915 v1 · 2018-04-26 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{JHNOSHPYGSOBPJP5KFOD7QMKKF}
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
✓
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 | 2026-05-18T00:17:27.495497Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
49dae91df8349c17a5fd515c3fc18a51411d85831e00f31030f9f1fd000890f7
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/JHNOSHPYGSOBPJP5KFOD7QMKKF \
| 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: 49dae91df8349c17a5fd515c3fc18a51411d85831e00f31030f9f1fd000890f7
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "5dc4a09b2f8d28ebedf9efd0caf6443ba650f26081630780351d2ebb5d19713c",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2018-04-26T07:18:30Z",
"title_canon_sha256": "6b68afbf8a75c4d5ab6d781c00346b34c9237fbe3d6ab42dcc4876d2fa2c7718"
},
"schema_version": "1.0",
"source": {
"id": "1804.09915",
"kind": "arxiv",
"version": 1
}
}