Pith Number
pith:N2QBB3WF
pith:2026:N2QBB3WFJTZ6L2ZXHJ6MIVOQPA
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A new strategy for physics-informed neural networks based on hierarchical collocation point refinement
arxiv:2607.14665 v1 · 2026-07-16 · math.NA · cs.NA
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{N2QBB3WFJTZ6L2ZXHJ6MIVOQPA}
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Record completeness
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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 | 2026-07-17T01:21:23.941791Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
6ea010eec54cf3e5eb373a7cc455d07801c114b297960e4e27ef9f13ca46c011
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/N2QBB3WFJTZ6L2ZXHJ6MIVOQPA \
| 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: 6ea010eec54cf3e5eb373a7cc455d07801c114b297960e4e27ef9f13ca46c011
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "c3e5ad6e1c1c2d0cc45f79e9aff1f474bf55a9ef3bd5dc3ea4e693420ec2a2da",
"cross_cats_sorted": [
"cs.NA"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "math.NA",
"submitted_at": "2026-07-16T07:31:42Z",
"title_canon_sha256": "f95b92b07ceea38c630ab5189e1438cf277d9a68a92f22d561a84375ec8354aa"
},
"schema_version": "1.0",
"source": {
"id": "2607.14665",
"kind": "arxiv",
"version": 1
}
}