Pith Number
pith:DBOKQ7OU
pith:2016:DBOKQ7OU3MGZ6SHN7L6SDQJBXK
not attested
not anchored
not stored
refs pending
Random Forests versus Neural Networks - What's Best for Camera Localization?
arxiv:1609.05797 v3 · 2016-09-19 · cs.CV · cs.RO
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{DBOKQ7OU3MGZ6SHN7L6SDQJBXK}
Prints a linked badge after your title and injects PDF metadata. Compiles on arXiv. Learn more
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 | 2026-05-18T00:40:24.182296Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
185ca87dd4db0d9f48edfafd21c121baaa84c482799b6e0a39def977bd0271d6
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/DBOKQ7OU3MGZ6SHN7L6SDQJBXK \
| 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: 185ca87dd4db0d9f48edfafd21c121baaa84c482799b6e0a39def977bd0271d6
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "02f55352bc39caa627f5674c670977767b7d18125a6b46e51a798a8ebc2bdc6f",
"cross_cats_sorted": [
"cs.RO"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2016-09-19T15:50:25Z",
"title_canon_sha256": "73bc8ff123845abd7e54dec57663ab3f77bebd7798ee730b937300f98f2061df"
},
"schema_version": "1.0",
"source": {
"id": "1609.05797",
"kind": "arxiv",
"version": 3
}
}