Pith Number
pith:4J7WMMCQ
pith:2019:4J7WMMCQA2FWHLPXV6CLUAMF3T
not attested
not anchored
not stored
refs pending
Wind Estimation Using Quadcopter Motion: A Machine Learning Approach
arxiv:1907.05720 v1 · 2019-07-11 · eess.SP · cs.LG · cs.RO
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{4J7WMMCQA2FWHLPXV6CLUAMF3T}
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 | 2026-05-17T23:40:44.658821Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
e27f663050068b63adf7af84ba0185dccda978a2cd9351142969797665f86fed
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/4J7WMMCQA2FWHLPXV6CLUAMF3T \
| 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: e27f663050068b63adf7af84ba0185dccda978a2cd9351142969797665f86fed
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "76827b04b987bbcf97c0568fe7fabc162365b927b1e6cf47eedc7f8200d13b1d",
"cross_cats_sorted": [
"cs.LG",
"cs.RO"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "eess.SP",
"submitted_at": "2019-07-11T04:03:27Z",
"title_canon_sha256": "247fe9565997b70468978912fa82344b6843ced79e544c8b251c86d1846dd4ce"
},
"schema_version": "1.0",
"source": {
"id": "1907.05720",
"kind": "arxiv",
"version": 1
}
}