Pith Number
pith:TPLH7YOP
pith:2023:TPLH7YOPPC5JVDTF4RHYJHBWK7
not attested
not anchored
not stored
refs pending
DiffLoad: Uncertainty Quantification in Electrical Load Forecasting with the Diffusion Model
arxiv:2306.01001 v5 · 2023-05-31 · cs.LG · cs.AI · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{TPLH7YOPPC5JVDTF4RHYJHBWK7}
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.
Cited by
Receipt and verification
| First computed | 2026-07-05T09:01:24.551502Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
9bd67fe1cf78ba9a8e65e44f849c3657e02e4778d8b4db691bfb274062789028
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/TPLH7YOPPC5JVDTF4RHYJHBWK7 \
| 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: 9bd67fe1cf78ba9a8e65e44f849c3657e02e4778d8b4db691bfb274062789028
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "ff7da5c6cb9f472a9d484ebaedac41c8d77433044ab04ab35ecd95973ecbd454",
"cross_cats_sorted": [
"cs.AI",
"stat.ML"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2023-05-31T05:04:50Z",
"title_canon_sha256": "2f6ff6a6f271895c0aa66b6a879ddcc795cbf3e5f1cbe6ae44ddaabf42c34053"
},
"schema_version": "1.0",
"source": {
"id": "2306.01001",
"kind": "arxiv",
"version": 5
}
}