Pith Number
pith:YVS5AZGF
pith:2018:YVS5AZGFNUZJOA3WB7GNZNGEXS
not attested
not anchored
not stored
refs pending
Fast and Accurate, Convolutional Neural Network Based Approach for Object Detection from UAV
arxiv:1808.05756 v2 · 2018-08-16 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{YVS5AZGFNUZJOA3WB7GNZNGEXS}
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 | 2026-05-17T23:56:58.368470Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
c565d064c56d329703760fccdcb4c4bc97835eb469a1a5b535a63f563076044e
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/YVS5AZGFNUZJOA3WB7GNZNGEXS \
| 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: c565d064c56d329703760fccdcb4c4bc97835eb469a1a5b535a63f563076044e
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "08d686559ef79d6b64c747594d1cf37649072f999a45d4cb7c8e8bf1818b4b1e",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2018-08-16T13:22:00Z",
"title_canon_sha256": "e3ed04cfb512b5d1d316d9d39e4b30e161baa55b8c24ef2e35955fba02b15538"
},
"schema_version": "1.0",
"source": {
"id": "1808.05756",
"kind": "arxiv",
"version": 2
}
}