Pith Number
pith:S37HGGA6
pith:2024:S37HGGA6SEVETGQZV4FY3UAPXP
not attested
not anchored
not stored
refs pending
A Natural Primal-Dual Hybrid Gradient Method for Adversarial Neural Network Training on Solving Partial Differential Equations
arxiv:2411.06278 v4 · 2024-11-09 · math.NA · cs.LG · cs.NA · math.OC
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{S37HGGA6SEVETGQZV4FY3UAPXP}
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Record completeness
1
Bitcoin timestamp
2
Internet Archive
3
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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 | 2026-05-26T01:02:25.523025Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
96fe73181e912a499a19af0b8dd00fbbd91961c2fec87664fef74f4746160d50
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/S37HGGA6SEVETGQZV4FY3UAPXP \
| 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: 96fe73181e912a499a19af0b8dd00fbbd91961c2fec87664fef74f4746160d50
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "c8f2d7935514317c5e006e35138b103ec43e01d46630cf18ef17d69c0fe9df3d",
"cross_cats_sorted": [
"cs.LG",
"cs.NA",
"math.OC"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "math.NA",
"submitted_at": "2024-11-09T20:39:10Z",
"title_canon_sha256": "a822fc93fa329242576e079977d9dc3575b241e084b6f715e5d22ad78f676ef5"
},
"schema_version": "1.0",
"source": {
"id": "2411.06278",
"kind": "arxiv",
"version": 4
}
}