Pith Number
pith:FMPUIF5Y
pith:2019:FMPUIF5YBLSLHIN6ZMID3E77ZS
not attested
not anchored
not stored
refs pending
Neural Networks in Hybrid Precoding for Millimeter Wave Massive MIMO Systems
arxiv:1903.08849 v1 · 2019-03-21 · cs.NI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{FMPUIF5YBLSLHIN6ZMID3E77ZS}
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 | 2026-05-17T23:50:43.764103Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
2b1f4417b80ae4b3a1becb103d93ffcc893f97cffacc7d4474e20d716f413b51
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/FMPUIF5YBLSLHIN6ZMID3E77ZS \
| 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: 2b1f4417b80ae4b3a1becb103d93ffcc893f97cffacc7d4474e20d716f413b51
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "03fc4c7c3aaf07eb15e02d2b6be69878ad643fccd0667b1e03df112c4937e8b5",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.NI",
"submitted_at": "2019-03-21T07:01:44Z",
"title_canon_sha256": "2f93fb9012e8b54f38ad48ac2161dc8b5587d84833b38960b9523eb5a636af66"
},
"schema_version": "1.0",
"source": {
"id": "1903.08849",
"kind": "arxiv",
"version": 1
}
}