Pith Number
pith:5YYXFVIH
pith:2019:5YYXFVIH2ZXVXPIZB3MEZTGUB4
not attested
not anchored
not stored
refs pending
Deep-Learning-Based Aerial Image Classification for Emergency Response Applications Using Unmanned Aerial Vehicles
arxiv:1906.08716 v1 · 2019-06-20 · cs.CV · cs.RO
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{5YYXFVIH2ZXVXPIZB3MEZTGUB4}
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
· sign in to
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 | 2026-05-17T23:42:49.502777Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
ee3172d507d66f5bbd190ed84cccd40f1d1f609616c055caba8176699bfecc73
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/5YYXFVIH2ZXVXPIZB3MEZTGUB4 \
| 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: ee3172d507d66f5bbd190ed84cccd40f1d1f609616c055caba8176699bfecc73
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "9451221e5c4de8b333babdeeacf65e92e0eab8a8b88eb5451971498689a4effc",
"cross_cats_sorted": [
"cs.RO"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CV",
"submitted_at": "2019-06-20T16:03:32Z",
"title_canon_sha256": "cb2f85484c661a15a229d17cbddbd270df813407036567c36799c24cec21aaa9"
},
"schema_version": "1.0",
"source": {
"id": "1906.08716",
"kind": "arxiv",
"version": 1
}
}