Pith Number
pith:WMMRWFGS
pith:2022:WMMRWFGSMMMWTD3JJX26N7LTK2
not attested
not anchored
not stored
refs pending
When Physics Meets Machine Learning: A Survey of Physics-Informed Machine Learning
arxiv:2203.16797 v1 · 2022-03-31 · cs.LG · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{WMMRWFGSMMMWTD3JJX26N7LTK2}
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
Author claim
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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 | 2026-07-05T04:10:27.940728Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
b3191b14d26319698f694df5e6fd7356a93e50632e503927cb1fef9286cbcf71
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/WMMRWFGSMMMWTD3JJX26N7LTK2 \
| 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: b3191b14d26319698f694df5e6fd7356a93e50632e503927cb1fef9286cbcf71
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "17569225ff09a48d9318f3277d3cbbaec010595a2a02a9bdc0991c8d5f341e8e",
"cross_cats_sorted": [
"stat.ML"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2022-03-31T04:58:27Z",
"title_canon_sha256": "9121c76dc27b7d3f92229168339ca7fc97d53b3a91f1440b698e10757db54912"
},
"schema_version": "1.0",
"source": {
"id": "2203.16797",
"kind": "arxiv",
"version": 1
}
}