Pith Number
pith:L5GLRHTI
pith:2024:L5GLRHTIZBQ2KEWAQVSEONQCBW
not attested
not anchored
not stored
refs pending
Is the neural tangent kernel of PINNs deep learning general partial differential equations always convergent ?
arxiv:2412.06158 v1 · 2024-12-09 · stat.ML · cs.LG · math-ph · math.MP · nlin.PS · physics.comp-ph
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{L5GLRHTIZBQ2KEWAQVSEONQCBW}
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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.
Receipt and verification
| First computed | 2026-07-05T09:46:16.326748Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
5f4cb89e68c861a512c085644736020d982e0bb7c30c39e07dfa32316d75577f
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/L5GLRHTIZBQ2KEWAQVSEONQCBW \
| 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: 5f4cb89e68c861a512c085644736020d982e0bb7c30c39e07dfa32316d75577f
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "756691aad3a57f1c2283ced74c3d017a74d7b03bda0f4fb9f63437d30e3ff09f",
"cross_cats_sorted": [
"cs.LG",
"math-ph",
"math.MP",
"nlin.PS",
"physics.comp-ph"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "stat.ML",
"submitted_at": "2024-12-09T02:41:39Z",
"title_canon_sha256": "e8fb35664d716e82c566e75c69e2aff2786f772c1b2bd589b471f3e591ed4a5e"
},
"schema_version": "1.0",
"source": {
"id": "2412.06158",
"kind": "arxiv",
"version": 1
}
}