Pith Number
pith:WUM7KECQ
pith:2024:WUM7KECQ5T5H6GFP7EKEP2XCWV
not attested
not anchored
not stored
refs pending
A Fuzzy Reinforcement LSTM-based Long-term Prediction Model for Fault Conditions in Nuclear Power Plants
arxiv:2411.08370 v1 · 2024-11-13 · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{WUM7KECQ5T5H6GFP7EKEP2XCWV}
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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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 | 2026-07-05T09:34:46.234581Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
b519f51050ecfa7f18aff91447eae2b57c09e5164ec0107b037dc632ddb67f85
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/WUM7KECQ5T5H6GFP7EKEP2XCWV \
| 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: b519f51050ecfa7f18aff91447eae2b57c09e5164ec0107b037dc632ddb67f85
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "b35982d4582762dd81306df6c76237769673a3304c40ca65a3436b8c06d3f4c8",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.AI",
"submitted_at": "2024-11-13T06:40:17Z",
"title_canon_sha256": "d86cdb577ad28f718382d9f778e5bf3229ce8f4ddf55a767c985cb14c369d0c3"
},
"schema_version": "1.0",
"source": {
"id": "2411.08370",
"kind": "arxiv",
"version": 1
}
}