Pith Number
pith:T5RQFQNZ
pith:2019:T5RQFQNZOZCGJUPIQT6FMM3RMS
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not anchored
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refs pending
Performance Advantages of Deep Neural Networks for Angle of Arrival Estimation
arxiv:1902.03569 v2 · 2019-02-10 · eess.SP · cs.LG · cs.SD · eess.AS · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{T5RQFQNZOZCGJUPIQT6FMM3RMS}
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Record completeness
1
Bitcoin timestamp
2
Internet Archive
3
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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 | 2026-05-17T23:53:49.288472Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
9f6302c1b9764464d1e884fc56337164891b9f383f7ce27d84db7148985dbe18
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/T5RQFQNZOZCGJUPIQT6FMM3RMS \
| 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: 9f6302c1b9764464d1e884fc56337164891b9f383f7ce27d84db7148985dbe18
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "81ee657cf75e8174c41b145d3daa473d16409c5597e5b4c7dde89d1289059cd8",
"cross_cats_sorted": [
"cs.LG",
"cs.SD",
"eess.AS",
"stat.ML"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "eess.SP",
"submitted_at": "2019-02-10T10:33:27Z",
"title_canon_sha256": "2ad1447df44a13e7709acb837253c3bf953af62887866ee4b5f730598e89ff1a"
},
"schema_version": "1.0",
"source": {
"id": "1902.03569",
"kind": "arxiv",
"version": 2
}
}