Pith Number
pith:3MRAUN3W
pith:2023:3MRAUN3W3GX2VWNHB56ZHQ32AV
not attested
not anchored
not stored
refs pending
Deep Learning Based Active Spatial Channel Gain Prediction Using a Swarm of Unmanned Aerial Vehicles
arxiv:2310.04547 v1 · 2023-10-06 · eess.SP
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{3MRAUN3W3GX2VWNHB56ZHQ32AV}
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.
Cited by
Receipt and verification
| First computed | 2026-07-05T06:58:19.791668Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
db220a3776d9afaad9a70f7d93c37a054814af3f66866b9b6ff855e98974d2b0
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/3MRAUN3W3GX2VWNHB56ZHQ32AV \
| 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: db220a3776d9afaad9a70f7d93c37a054814af3f66866b9b6ff855e98974d2b0
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "a0c7316f2fd3e49a69dad4295944a7b2d1e4c104cd6908ddb2cf2abf9e103ce6",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "eess.SP",
"submitted_at": "2023-10-06T19:19:29Z",
"title_canon_sha256": "2fb575996def56cb32c03f2ffaa1f7dbe39d486a4da2be82fcf2f79e2403c6dc"
},
"schema_version": "1.0",
"source": {
"id": "2310.04547",
"kind": "arxiv",
"version": 1
}
}