Pith Number
pith:XJWOWFPU
pith:2012:XJWOWFPUVXICA7V2UVQIUXW7ZV
not attested
not anchored
not stored
refs pending
Recognizing recurrent neural networks (rRNN): Bayesian inference for recurrent neural networks
arxiv:1201.4339 v1 · 2012-01-20 · q-bio.NC
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{XJWOWFPUVXICA7V2UVQIUXW7ZV}
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 | 2026-05-18T03:51:35.549278Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
ba6ceb15f4add0207ebaa5608a5edfcd41c38380f6a357a88ada70415f3a42b7
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/XJWOWFPUVXICA7V2UVQIUXW7ZV \
| 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: ba6ceb15f4add0207ebaa5608a5edfcd41c38380f6a357a88ada70415f3a42b7
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "65ed30af268f1866ac999fb704914ab2db78b6bed642756fc7a2a2ecac95c047",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "q-bio.NC",
"submitted_at": "2012-01-20T17:04:18Z",
"title_canon_sha256": "7ae3938c29de886b240c9241c85d4742593b28512cc957fadf28ba48e35311bb"
},
"schema_version": "1.0",
"source": {
"id": "1201.4339",
"kind": "arxiv",
"version": 1
}
}