Pith Number
pith:UVZXFS5Y
pith:2025:UVZXFS5YGD72VXV4BBEWHD3YLB
not attested
not anchored
not stored
refs pending
MDF: Multi-Modal Data Fusion with CNN-Based Object Detection for Enhanced Indoor Localization Using LiDAR-SLAM
arxiv:2505.08388 v1 · 2025-05-13 · cs.RO
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{UVZXFS5YGD72VXV4BBEWHD3YLB}
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 | 2026-07-05T11:02:29.947202Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
a57372cbb830ffaadebc0849638f78585d4da6104619497aa1a982aaf9b65bc1
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/UVZXFS5YGD72VXV4BBEWHD3YLB \
| 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: a57372cbb830ffaadebc0849638f78585d4da6104619497aa1a982aaf9b65bc1
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "0ed4e0acdf2e749d375bb08ad2ba81d0ee21787bf10098f22739b43b7d8e5ac0",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.RO",
"submitted_at": "2025-05-13T09:34:55Z",
"title_canon_sha256": "c2cb54ea8eaa9b7d6f83a67cbc1180bf196a4dd9748ae3263c601e3309e6234a"
},
"schema_version": "1.0",
"source": {
"id": "2505.08388",
"kind": "arxiv",
"version": 1
}
}