Pith Number
pith:V2ELLKC3
pith:2022:V2ELLKC3TRSRXUP3YXHI2YRXV2
not attested
not anchored
not stored
refs pending
An Extreme-Adaptive Time Series Prediction Model Based on Probability-Enhanced LSTM Neural Networks
arxiv:2211.15891 v1 · 2022-11-29 · cs.LG · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{V2ELLKC3TRSRXUP3YXHI2YRXV2}
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
· sign in to
claim
4
Citations
5
Replications
✓
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 | 2026-07-05T07:23:55.053832Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
ae88b5a85b9c651bd1fbc5ce8d6237ae93243fccac2caff5637dd4442a02ecdf
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/V2ELLKC3TRSRXUP3YXHI2YRXV2 \
| 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: ae88b5a85b9c651bd1fbc5ce8d6237ae93243fccac2caff5637dd4442a02ecdf
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "947905f14b40a57b923116f69adfdad4dde8f8ea3f28d0901477e589309dc1c0",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2022-11-29T03:01:59Z",
"title_canon_sha256": "0c69637d8f872a8df6739537771c49f5dec329d4d2baf5a41947cf82447c9040"
},
"schema_version": "1.0",
"source": {
"id": "2211.15891",
"kind": "arxiv",
"version": 1
}
}