Pith Number
pith:QJST43YT
pith:2019:QJST43YT7CF5BKV6DPZHELG6UO
not attested
not anchored
not stored
refs pending
End-to-End Motion Planning of Quadrotors Using Deep Reinforcement Learning
arxiv:1909.13599 v2 · 2019-09-30 · cs.RO · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{QJST43YT7CF5BKV6DPZHELG6UO}
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 | 2026-07-05T00:10:04.870184Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
82653e6f13f88bd0aabe1bf2722cdea3b65b06c9553e6dd303e2edf98dbd7842
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/QJST43YT7CF5BKV6DPZHELG6UO \
| 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: 82653e6f13f88bd0aabe1bf2722cdea3b65b06c9553e6dd303e2edf98dbd7842
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "db508c92c1fd8a4e318056fc68eea04863313656d4a0c7c686d25ada2789a069",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.RO",
"submitted_at": "2019-09-30T11:31:59Z",
"title_canon_sha256": "ba72f7141fe7430491cb2fb232cf00214cc65ceb293ef9144b5f7f6363e5753c"
},
"schema_version": "1.0",
"source": {
"id": "1909.13599",
"kind": "arxiv",
"version": 2
}
}