Pith Number
pith:BBC6P2EK
pith:2023:BBC6P2EK3UHHVBYIAJMLQRUZ7Y
not attested
not anchored
not stored
refs pending
Analysis of Weather and Time Features in Machine Learning-aided ERCOT Load Forecasting
arxiv:2310.08793 v1 · 2023-10-13 · cs.LG · cs.SY · eess.SY
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{BBC6P2EK3UHHVBYIAJMLQRUZ7Y}
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 | 2026-07-05T07:00:34.942859Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
0845e7e88add0e7a87080258b84699fe11e499c9dffc2628da6755dc1bf385cd
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/BBC6P2EK3UHHVBYIAJMLQRUZ7Y \
| 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: 0845e7e88add0e7a87080258b84699fe11e499c9dffc2628da6755dc1bf385cd
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "518388b7fbae08ed4913bec60fbc2c9d56d7fc4edf5dceb660c3dea455175c20",
"cross_cats_sorted": [
"cs.SY",
"eess.SY"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2023-10-13T00:46:12Z",
"title_canon_sha256": "14f5d8e236c1b801d98c2c673f20ed404ebcddf9b4a7687f439f8a484da1e311"
},
"schema_version": "1.0",
"source": {
"id": "2310.08793",
"kind": "arxiv",
"version": 1
}
}