Pith Number
pith:LEDA6KQZ
pith:2019:LEDA6KQZP5DZFNKEKR2CFTB46H
not attested
not anchored
not stored
refs pending
Online Deep Learning for Improved Trajectory Tracking of Unmanned Aerial Vehicles Using Expert Knowledge
arxiv:1905.10796 v1 · 2019-05-26 · cs.RO · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{LEDA6KQZP5DZFNKEKR2CFTB46H}
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
✓
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 | 2026-05-17T23:45:05.239778Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
59060f2a197f4792b544547422cc3cf1d9b0ac1644d73f1a61c3ea82a2ad5b04
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/LEDA6KQZP5DZFNKEKR2CFTB46H \
| 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: 59060f2a197f4792b544547422cc3cf1d9b0ac1644d73f1a61c3ea82a2ad5b04
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "f464c74c8ac87c76ac53d27f5e5545272da850ed8ddc807d11c9e4cbea89e5ad",
"cross_cats_sorted": [
"cs.LG"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.RO",
"submitted_at": "2019-05-26T12:36:26Z",
"title_canon_sha256": "4980d99b3be441eb200dd9426229d9dfd3a190e14165d2b054800c0066b9b848"
},
"schema_version": "1.0",
"source": {
"id": "1905.10796",
"kind": "arxiv",
"version": 1
}
}