Pith Number
pith:XN2ECYMD
pith:2019:XN2ECYMDLWB34PTHQ4KPBLLE5C
not attested
not anchored
not stored
refs pending
Predicting AC Optimal Power Flows: Combining Deep Learning and Lagrangian Dual Methods
arxiv:1909.10461 v2 · 2019-09-19 · eess.SP · cs.AI · cs.LG · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{XN2ECYMDLWB34PTHQ4KPBLLE5C}
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Record completeness
1
Bitcoin timestamp
2
Internet Archive
3
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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 | 2026-07-05T00:23:24.312159Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
bb744161835d83be3e678714f0ad64e8843e1391ed969990373bfd0f99a6d813
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/XN2ECYMDLWB34PTHQ4KPBLLE5C \
| 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: bb744161835d83be3e678714f0ad64e8843e1391ed969990373bfd0f99a6d813
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "21608c8bd52f16a286d6a10f8b2979a536bae089a5c999be0e16f7e670ceddc9",
"cross_cats_sorted": [
"cs.AI",
"cs.LG",
"stat.ML"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "eess.SP",
"submitted_at": "2019-09-19T00:39:17Z",
"title_canon_sha256": "5a3bb5af2d0db6bd3dc990254fc58067debbc843aa39ed7da6bea32eb90cb0af"
},
"schema_version": "1.0",
"source": {
"id": "1909.10461",
"kind": "arxiv",
"version": 2
}
}