Pith Number
pith:HJOBFV5X
pith:2018:HJOBFV5XDLXYQFL5MN65HJF5LX
not attested
not anchored
not stored
refs pending
Deep Learning for Decoding of Linear Codes - A Syndrome-Based Approach
arxiv:1802.04741 v1 · 2018-02-13 · cs.IT · cs.LG · cs.NE · math.IT
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{HJOBFV5XDLXYQFL5MN65HJF5LX}
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.
Cited by
Receipt and verification
| First computed | 2026-05-18T00:22:38.772575Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
3a5c12d7b71aef88157d637dd3a4bd5dc75a1a0895c12d0d37f38efbd5159252
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/HJOBFV5XDLXYQFL5MN65HJF5LX \
| 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: 3a5c12d7b71aef88157d637dd3a4bd5dc75a1a0895c12d0d37f38efbd5159252
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "b71dd55927bd75ee65a8ec20e83237029355cf763d88329d37eb23c53e71ef0e",
"cross_cats_sorted": [
"cs.LG",
"cs.NE",
"math.IT"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.IT",
"submitted_at": "2018-02-13T17:06:40Z",
"title_canon_sha256": "cd6376bc5d82c9a2ab1eb509349560e827d6b860297497eb14a06cc1318b3be7"
},
"schema_version": "1.0",
"source": {
"id": "1802.04741",
"kind": "arxiv",
"version": 1
}
}