Pith Number
pith:DGGYS7YL
pith:2025:DGGYS7YL65YYPT7VQS2QWMLUXH
not attested
not anchored
not stored
refs pending
Development and Analysis of Chien-Physics-Informed Neural Networks for Singular Perturbation Problems
arxiv:2509.10945 v1 · 2025-09-13 · math.NA · cs.NA
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{DGGYS7YL65YYPT7VQS2QWMLUXH}
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
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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 | 2026-07-05T12:11:30.833149Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
198d897f0bf77187cff584b50b3174b9fa474556f5c246e0c00994e5abe59f17
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/DGGYS7YL65YYPT7VQS2QWMLUXH \
| 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: 198d897f0bf77187cff584b50b3174b9fa474556f5c246e0c00994e5abe59f17
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "11fdccc521424ba65b7cda132f2ab6570a40bfadd026a82f06688cd04f14f324",
"cross_cats_sorted": [
"cs.NA"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "math.NA",
"submitted_at": "2025-09-13T18:59:35Z",
"title_canon_sha256": "366da20a980321ed45342859a9a4206b6ede045b236ba379200e08aa9d0606ce"
},
"schema_version": "1.0",
"source": {
"id": "2509.10945",
"kind": "arxiv",
"version": 1
}
}