Pith Number
pith:JDUSXM5G
pith:2012:JDUSXM5GCXG7CAJDDJ3IHZ3ZH2
not attested
not anchored
not stored
refs pending
On the difficulty of training Recurrent Neural Networks
arxiv:1211.5063 v2 · 2012-11-21 · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{JDUSXM5GCXG7CAJDDJ3IHZ3ZH2}
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
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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 | 2026-05-18T03:33:25.436642Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
48e92bb3a615cdf101231a7683e7793eadcaabc805ad936c1f139fb2735d83c0
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/JDUSXM5GCXG7CAJDDJ3IHZ3ZH2 \
| 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: 48e92bb3a615cdf101231a7683e7793eadcaabc805ad936c1f139fb2735d83c0
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "7b839f3beb92e596f8dd2d6ac2b875fa170be63d39b3aa5602ce967034926136",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2012-11-21T15:40:11Z",
"title_canon_sha256": "48e1617522fe5a2a1f95afd7d6c97967a8ae53d60bf710b28ee425e1405d5a07"
},
"schema_version": "1.0",
"source": {
"id": "1211.5063",
"kind": "arxiv",
"version": 2
}
}