Pith Number
pith:DV447KWM
pith:2023:DV447KWMBL22QS3LUEXOMWY4OW
not attested
not anchored
not stored
refs pending
Physics Informed Neural Networks with strong and weak residuals for advection-dominated diffusion problems
arxiv:2307.07647 v1 · 2023-07-14 · math.NA · cs.NA
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{DV447KWMBL22QS3LUEXOMWY4OW}
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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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 | 2026-07-05T06:31:00.414550Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
1d79cfaacc0af5a84b6ba12ee65b1c75b5c462f09389a717490aa5db92bb97ff
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/DV447KWMBL22QS3LUEXOMWY4OW \
| 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: 1d79cfaacc0af5a84b6ba12ee65b1c75b5c462f09389a717490aa5db92bb97ff
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "f73f6833eb90a22bc5bee952f16c68e88d3d72935a7dbe8b8ee4bc84981fe197",
"cross_cats_sorted": [
"cs.NA"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "math.NA",
"submitted_at": "2023-07-14T22:36:20Z",
"title_canon_sha256": "2cd64139c6f1207bbd92eb574932357a67c3968137c72dc6fb70d64ddb205a3e"
},
"schema_version": "1.0",
"source": {
"id": "2307.07647",
"kind": "arxiv",
"version": 1
}
}