Pith Number
pith:5E2W7VC7
pith:2025:5E2W7VC73R3MEPZCSAA3Y7DBDY
not attested
not anchored
not stored
refs pending
Power Flow Approximations for Multiphase Distribution Networks using Gaussian Processes
arxiv:2504.21260 v1 · 2025-04-30 · eess.SY · cs.LG · cs.SY
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{5E2W7VC73R3MEPZCSAA3Y7DBDY}
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 | 2026-07-05T10:56:21.033063Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
e9356fd45fdc76c23f229001bc7c611e1b56e00eec48202a5b5d363a31839a31
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/5E2W7VC73R3MEPZCSAA3Y7DBDY \
| 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: e9356fd45fdc76c23f229001bc7c611e1b56e00eec48202a5b5d363a31839a31
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "48b812073d18aaab2efabc3fbc9d66795b9b054838363459d176ab693b11c850",
"cross_cats_sorted": [
"cs.LG",
"cs.SY"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "eess.SY",
"submitted_at": "2025-04-30T02:26:31Z",
"title_canon_sha256": "2f0f8a9aa016e41afe6c23a51ac3dc3eb4cc14ba9ecf48e86e94360089380b27"
},
"schema_version": "1.0",
"source": {
"id": "2504.21260",
"kind": "arxiv",
"version": 1
}
}