Pith Number
pith:RYAJD2ZP
pith:2023:RYAJD2ZPCMSHPY4J7CRDMEEXXV
not attested
not anchored
not stored
refs pending
Learning Optimal Power Flow Value Functions with Input-Convex Neural Networks
arxiv:2310.04605 v1 · 2023-10-06 · cs.LG · math.OC
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{RYAJD2ZPCMSHPY4J7CRDMEEXXV}
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 | 2026-07-05T06:58:20.564267Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
8e0091eb2f132477e389f8a2361097bd68bdddaa0ab32b500360a0407aff5476
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/RYAJD2ZPCMSHPY4J7CRDMEEXXV \
| 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: 8e0091eb2f132477e389f8a2361097bd68bdddaa0ab32b500360a0407aff5476
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "1e508103b938040f76dbed200d4875a3a38aea099b1856eebd6e72003f674aad",
"cross_cats_sorted": [
"math.OC"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2023-10-06T21:48:39Z",
"title_canon_sha256": "aa50d5d05b4dd2f7cacfb967f25564d1d6a5e8c0752493a00d971819ef76b34a"
},
"schema_version": "1.0",
"source": {
"id": "2310.04605",
"kind": "arxiv",
"version": 1
}
}