Pith Number
pith:EMBV6UYQ
pith:2020:EMBV6UYQ2MYEA4WQ63ILJIBYDW
not attested
not anchored
not stored
refs pending
Convolutional Neural Network for Behavioral Modeling and Predistortion of Wideband Power Amplifiers
arxiv:2005.09848 v1 · 2020-05-20 · eess.SP
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{EMBV6UYQ2MYEA4WQ63ILJIBYDW}
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 | 2026-07-05T01:04:34.706733Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
23035f5310d3304072d0f6d0b4a0381d896567ba08fccdd2be23643e857750e0
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/EMBV6UYQ2MYEA4WQ63ILJIBYDW \
| 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: 23035f5310d3304072d0f6d0b4a0381d896567ba08fccdd2be23643e857750e0
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "32b2b8887f67211bcd9763d8d04a3feb5e879189319058a1a5491fd41afbcdaa",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "eess.SP",
"submitted_at": "2020-05-20T05:14:49Z",
"title_canon_sha256": "fbae96c226f8e81399ff90d9358df3770a3d8f8ad484eb232271d606666b061a"
},
"schema_version": "1.0",
"source": {
"id": "2005.09848",
"kind": "arxiv",
"version": 1
}
}