Pith Number
pith:6KYAANOS
pith:2026:6KYAANOSFL5B5FMJJ75UWVG7PK
not attested
not anchored
not stored
refs pending
Understanding electricity consumption behaviour through Inverse Reinforcement Learning
arxiv:2607.03176 v1 · 2026-07-03 · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{6KYAANOSFL5B5FMJJ75UWVG7PK}
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 | 2026-07-07T01:16:45.667608Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
f2b00035d22afa1e95894ffb4b54df7a9ac0a4401fe74a28da0102f0810d7a34
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/6KYAANOSFL5B5FMJJ75UWVG7PK \
| 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: f2b00035d22afa1e95894ffb4b54df7a9ac0a4401fe74a28da0102f0810d7a34
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "c3bc68f8226e07cd1f4080777d889a86f1bfd6bb577d7027e47a859914ab9947",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2026-07-03T10:24:30Z",
"title_canon_sha256": "71560e91b892e2c63380006bad4adfa3cadf5a0e1d92c098427e6ce2cc731e94"
},
"schema_version": "1.0",
"source": {
"id": "2607.03176",
"kind": "arxiv",
"version": 1
}
}