Pith Number
pith:MPEOS4BC
pith:2026:MPEOS4BC6P7ZQZI7JH6JJ3AMP2
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refs pending
Explainable Data-driven Deep Reinforcement Learning Methods for Optimal Energy Management in Buildings
arxiv:2606.02049 v1 · 2026-06-01 · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{MPEOS4BC6P7ZQZI7JH6JJ3AMP2}
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 | 2026-06-02T02:05:04.525432Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
63c8e97022f3ff98651f49fc94ec0c7ebfa59a6c0a7b03fc2ecaafcab235e545
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/MPEOS4BC6P7ZQZI7JH6JJ3AMP2 \
| 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: 63c8e97022f3ff98651f49fc94ec0c7ebfa59a6c0a7b03fc2ecaafcab235e545
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "6a7ec22154528f680493a43532b1d0e6e4808bd90bbe700c7e34152789dfd189",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.AI",
"submitted_at": "2026-06-01T10:39:34Z",
"title_canon_sha256": "3a9a5cde3d7c192f0526ddddb50a0595d06d2858881e82ae2d11493ac102c412"
},
"schema_version": "1.0",
"source": {
"id": "2606.02049",
"kind": "arxiv",
"version": 1
}
}