Pith Number
pith:4TLFGQPQ
pith:2024:4TLFGQPQODLMBXWYKD24RZECSK
not attested
not anchored
not stored
refs pending
Improved Physics-informed neural networks loss function regularization with a variance-based term
arxiv:2412.13993 v3 · 2024-12-18 · math.OC · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{4TLFGQPQODLMBXWYKD24RZECSK}
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.
Receipt and verification
| First computed | 2026-07-05T12:07:02.368909Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
e4d65341f070d6c0ded850f5c8e48292aa5748d012f29132d149ddfd6a1995d6
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/4TLFGQPQODLMBXWYKD24RZECSK \
| 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: e4d65341f070d6c0ded850f5c8e48292aa5748d012f29132d149ddfd6a1995d6
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "8105869fb0870745ab9a1edd53fcc0768ffb4d80883c2555a26bf72b9ff29bdf",
"cross_cats_sorted": [
"cs.LG"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "math.OC",
"submitted_at": "2024-12-18T16:11:45Z",
"title_canon_sha256": "f5510b60a4210454d8df911a4b8e08a8f0e4f3d0bd12723b16f6ecd12fbf8809"
},
"schema_version": "1.0",
"source": {
"id": "2412.13993",
"kind": "arxiv",
"version": 3
}
}