Pith Number
pith:QDGZMN53
pith:2018:QDGZMN535YFADNZ4OYPWAGT3DN
not attested
not anchored
not stored
refs pending
A Deep Learning and Gamification Approach to Energy Conservation at Nanyang Technological University
arxiv:1809.05142 v2 · 2018-09-13 · cs.LG · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{QDGZMN535YFADNZ4OYPWAGT3DN}
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 | 2026-05-18T00:04:44.391332Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
80cd9637bbee0a01b73c761f601a7b1b735cff9f902d875a306f289884002747
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/QDGZMN535YFADNZ4OYPWAGT3DN \
| 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: 80cd9637bbee0a01b73c761f601a7b1b735cff9f902d875a306f289884002747
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "78d4dbb597428f34499044c7377d754f6365c1a7ddcef169021cfc27ae2721c3",
"cross_cats_sorted": [
"stat.ML"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2018-09-13T18:52:16Z",
"title_canon_sha256": "d15ab1f091fb06db512612f832dc87720ebd39f58e7dd4a5e23671673a8e4009"
},
"schema_version": "1.0",
"source": {
"id": "1809.05142",
"kind": "arxiv",
"version": 2
}
}