Pith Number
pith:GFNNFLST
pith:2016:GFNNFLSTWL76HU2KEXJS4QBVPQ
not attested
not anchored
not stored
refs pending
Learning to Decode Linear Codes Using Deep Learning
arxiv:1607.04793 v2 · 2016-07-16 · cs.IT · cs.LG · cs.NE · math.IT
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{GFNNFLSTWL76HU2KEXJS4QBVPQ}
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 | 2026-05-18T01:03:36.151827Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
315ad2ae53b2ffe3d34a25d32e40357c185e3bd2b24d63c88df4cb5bd043868f
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/GFNNFLSTWL76HU2KEXJS4QBVPQ \
| 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: 315ad2ae53b2ffe3d34a25d32e40357c185e3bd2b24d63c88df4cb5bd043868f
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "906973ac9b96d4389a12d87857b3db4cc8bca5645edd632d86edcf526f185939",
"cross_cats_sorted": [
"cs.LG",
"cs.NE",
"math.IT"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.IT",
"submitted_at": "2016-07-16T19:09:26Z",
"title_canon_sha256": "6478e5c3f101c22dc87d75aae9bbff0344a627b038f8ef02706e2eb169c54454"
},
"schema_version": "1.0",
"source": {
"id": "1607.04793",
"kind": "arxiv",
"version": 2
}
}