Pith Number
pith:CHQBB24M
pith:2019:CHQBB24MPC5OL4WMQVMEMYYW5I
not attested
not anchored
not stored
refs pending
Predicting the Voltage Distribution for Low Voltage Networks using Deep Learning
arxiv:1906.08374 v1 · 2019-06-19 · cs.LG · eess.SP
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{CHQBB24MPC5OL4WMQVMEMYYW5I}
Prints a linked badge after your title and injects PDF metadata. Compiles on arXiv. Learn more
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 | 2026-05-17T23:42:52.656855Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
11e010eb8c78bae5f2cc8558466316ea0c36915a5c8cac627c280260a7ce36a3
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/CHQBB24MPC5OL4WMQVMEMYYW5I \
| 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: 11e010eb8c78bae5f2cc8558466316ea0c36915a5c8cac627c280260a7ce36a3
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "1cd4710646ef8f57e6d0bd56dc41c2c781c163a311dacb9efdb3fb232b9b9670",
"cross_cats_sorted": [
"eess.SP"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2019-06-19T21:44:54Z",
"title_canon_sha256": "e15371f541564b358071fa665f2a85f397f33598241f5097cf545e68e5a90d55"
},
"schema_version": "1.0",
"source": {
"id": "1906.08374",
"kind": "arxiv",
"version": 1
}
}