Pith Number
pith:DHW6GU7K
pith:2024:DHW6GU7K7Q45GV6FHUQKEBSS2J
not attested
not anchored
not stored
refs pending
Unveiling Hidden Energy Anomalies: Harnessing Deep Learning to Optimize Energy Management in Sports Facilities
arxiv:2402.08742 v1 · 2024-02-13 · cs.CY · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{DHW6GU7K7Q45GV6FHUQKEBSS2J}
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 | 2026-07-05T07:45:01.716860Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
19ede353eafc39d357c53d20a20652d275485bda04a28d472de99d27e8121c77
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/DHW6GU7K7Q45GV6FHUQKEBSS2J \
| 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: 19ede353eafc39d357c53d20a20652d275485bda04a28d472de99d27e8121c77
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "0afa51bf40ab2a75c6de2b24620f6cfb2c1954d1a908f172399dacd61dcddd99",
"cross_cats_sorted": [
"cs.LG"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CY",
"submitted_at": "2024-02-13T19:27:06Z",
"title_canon_sha256": "2e7e56565c06f1b8dac54ac392ea297b4e252d848e6606fe43330840b58ce8cc"
},
"schema_version": "1.0",
"source": {
"id": "2402.08742",
"kind": "arxiv",
"version": 1
}
}