Pith Number
pith:7XT7I7CI
pith:2018:7XT7I7CI2WBJYUVMXLZWT4ETOR
not attested
not anchored
not stored
refs pending
Multisensor Online Transfer Learning for 3D LiDAR-based Human Detection with a Mobile Robot
arxiv:1801.04137 v3 · 2018-01-12 · cs.RO
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{7XT7I7CI2WBJYUVMXLZWT4ETOR}
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 | 2026-05-18T00:09:27.512556Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
fde7f47c48d5829c52acbaf369f093747f27cbfd825e585b1caf92ba99be8f79
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/7XT7I7CI2WBJYUVMXLZWT4ETOR \
| 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: fde7f47c48d5829c52acbaf369f093747f27cbfd825e585b1caf92ba99be8f79
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "7b3b8a39b90cca11a72e3e310ace1b15e428b2124eae1987ecd1ffd344bbc088",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.RO",
"submitted_at": "2018-01-12T11:35:42Z",
"title_canon_sha256": "1d7e6f5b89b6ae1b5f56affbd45a5efff5c24d4e4dde1c5d798279cf36fccc4f"
},
"schema_version": "1.0",
"source": {
"id": "1801.04137",
"kind": "arxiv",
"version": 3
}
}