Pith Number
pith:LTL47I2N
pith:2023:LTL47I2NCH24AATKBJGHIWBNT6
not attested
not anchored
not stored
refs pending
Deep Learning for Optimization of Trajectories for Quadrotors
arxiv:2309.15191 v2 · 2023-09-26 · cs.RO
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{LTL47I2NCH24AATKBJGHIWBNT6}
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 | 2026-07-05T07:19:48.917868Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
5cd7cfa34d11f5c0026a0a4c74582d9f96478ef8403a387b207fbd9b5ea5bb26
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/LTL47I2NCH24AATKBJGHIWBNT6 \
| 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: 5cd7cfa34d11f5c0026a0a4c74582d9f96478ef8403a387b207fbd9b5ea5bb26
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "60f7ac44b476935f889456b76d192379236bcb219d8aa94672c998a85bfc2432",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.RO",
"submitted_at": "2023-09-26T18:51:46Z",
"title_canon_sha256": "1785153f618b78019b87a0831f703e349d75d2144fdcc60cdfd0065098720a29"
},
"schema_version": "1.0",
"source": {
"id": "2309.15191",
"kind": "arxiv",
"version": 2
}
}