Pith Number
pith:QIR4SMZQ
pith:2019:QIR4SMZQYXHYRRLOSHSJ6NU6DC
not attested
not anchored
not stored
refs pending
Deep Learning for Physical-Layer 5G Wireless Techniques: Opportunities, Challenges and Solutions
arxiv:1904.09673 v1 · 2019-04-21 · eess.SP · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{QIR4SMZQYXHYRRLOSHSJ6NU6DC}
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
· sign in to
claim
4
Citations
5
Replications
✓
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 | 2026-05-17T23:48:03.664181Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
8223c93330c5cf88c56e91e49f369e18a3fe154dab5bc1db895ed017340dd4d0
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/QIR4SMZQYXHYRRLOSHSJ6NU6DC \
| 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: 8223c93330c5cf88c56e91e49f369e18a3fe154dab5bc1db895ed017340dd4d0
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "e0cbfb0b8e8ad3e4f8cbad49dd885b810fe6b08837f561d6c1bb7331b098382b",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "eess.SP",
"submitted_at": "2019-04-21T22:52:10Z",
"title_canon_sha256": "13d18c188f30b9b85441d47006ade235a0b31650607361e4be362998bb743750"
},
"schema_version": "1.0",
"source": {
"id": "1904.09673",
"kind": "arxiv",
"version": 1
}
}