Pith Number
pith:AL7KM7DU
pith:2018:AL7KM7DU7N57LR5VQAM32OMWEI
not attested
not anchored
not stored
refs pending
Character-level Recurrent Neural Networks in Practice: Comparing Training and Sampling Schemes
arxiv:1801.00632 v2 · 2018-01-02 · cs.LG · cs.CL · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{AL7KM7DU7N57LR5VQAM32OMWEI}
Prints a linked badge after your title and injects PDF metadata. Compiles on arXiv. Learn more · Embed verified badge
Record completeness
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Bitcoin timestamp
2
Internet Archive
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4
Citations
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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 | 2026-05-18T00:26:23.065712Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
02fea67c74fb7bf5c7b58019bd399622240d6695a2f0491ddd4f6afbc9326e2a
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/AL7KM7DU7N57LR5VQAM32OMWEI \
| 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: 02fea67c74fb7bf5c7b58019bd399622240d6695a2f0491ddd4f6afbc9326e2a
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "e7213c7709c9f71cbe94f1b2aaf41d4139ab5f67e491a8f449740da5e97562f7",
"cross_cats_sorted": [
"cs.CL",
"stat.ML"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2018-01-02T12:50:12Z",
"title_canon_sha256": "53a8b6bc2558a2d7488061355291a09fd236bfe108532192b5bf9a8111fa5678"
},
"schema_version": "1.0",
"source": {
"id": "1801.00632",
"kind": "arxiv",
"version": 2
}
}