Pith Number
pith:NADXHY3F
pith:2017:NADXHY3F3QQPWD6KIBHW3NQ3VK
not attested
not anchored
not stored
refs pending
An Introduction to Deep Learning for the Physical Layer
arxiv:1702.00832 v2 · 2017-02-02 · cs.IT · cs.LG · cs.NI · math.IT
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{NADXHY3F3QQPWD6KIBHW3NQ3VK}
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
✓
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 | 2026-05-18T00:40:28.596635Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
680773e365dc20fb0fca404f6db61baaba85589f480b7ff2c5d18eb703f1e05b
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/NADXHY3F3QQPWD6KIBHW3NQ3VK \
| 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: 680773e365dc20fb0fca404f6db61baaba85589f480b7ff2c5d18eb703f1e05b
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "947764ebf946dec5b0ab25619103c999d3e4482d91bae7107b07b933a075294c",
"cross_cats_sorted": [
"cs.LG",
"cs.NI",
"math.IT"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.IT",
"submitted_at": "2017-02-02T21:30:08Z",
"title_canon_sha256": "c13caa9a34ecd38d9694ba6bb8bc4c67a328dcca8b09b56aeb407407fde602f9"
},
"schema_version": "1.0",
"source": {
"id": "1702.00832",
"kind": "arxiv",
"version": 2
}
}