Pith Number
pith:ITI6IMD5
pith:2023:ITI6IMD54HPSGJBFPDNKUXPVPR
not attested
not anchored
not stored
refs pending
Physics-informed neural networks with residual/gradient-based adaptive sampling methods for solving PDEs with sharp solutions
arxiv:2302.08035 v1 · 2023-02-16 · math.NA · cs.NA · physics.comp-ph
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{ITI6IMD54HPSGJBFPDNKUXPVPR}
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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.
Cited by
Receipt and verification
| First computed | 2026-07-05T05:42:33.344989Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
44d1e4307de1df23242578daaa5df57c64ca1abe48d1584913e5432baa1c06a4
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/ITI6IMD54HPSGJBFPDNKUXPVPR \
| 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: 44d1e4307de1df23242578daaa5df57c64ca1abe48d1584913e5432baa1c06a4
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "d64eeb5b4b71968b538cabda7865fedab183dacc38906431caa20299b8d11ab9",
"cross_cats_sorted": [
"cs.NA",
"physics.comp-ph"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "math.NA",
"submitted_at": "2023-02-16T02:24:55Z",
"title_canon_sha256": "ad425912dfc568084ec7b468f6785151424db57da889da17643ade27175e95c6"
},
"schema_version": "1.0",
"source": {
"id": "2302.08035",
"kind": "arxiv",
"version": 1
}
}