Pith Number
pith:O6AKYJVU
pith:2024:O6AKYJVUVCSJARZY4T35GGXTO2
not attested
not anchored
not stored
refs pending
Beyond explaining: XAI-based Adaptive Learning with SHAP Clustering for Energy Consumption Prediction
arxiv:2402.04982 v1 · 2024-02-07 · cs.LG · cs.DB
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{O6AKYJVUVCSJARZY4T35GGXTO2}
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.
Cited by
Receipt and verification
| First computed | 2026-07-05T07:42:34.850843Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
7780ac26b4a8a4904738e4f7d31af3768f213523919fdbdf2dd1aa69918e4755
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/O6AKYJVUVCSJARZY4T35GGXTO2 \
| 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: 7780ac26b4a8a4904738e4f7d31af3768f213523919fdbdf2dd1aa69918e4755
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "35422599f69e6728ae3ae0028c7c6cdeb9f44412f5033bb12d5888ac582ee019",
"cross_cats_sorted": [
"cs.DB"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2024-02-07T15:58:51Z",
"title_canon_sha256": "d846c8fd9f81aeb859e9b770182f844dca18c18f1ea97f981a3cbf67a680c4da"
},
"schema_version": "1.0",
"source": {
"id": "2402.04982",
"kind": "arxiv",
"version": 1
}
}