Pith Number
pith:BW3RZKTM
pith:2026:BW3RZKTMZGN2XEWOOTIZOH7OZZ
not attested
not anchored
not stored
refs pending
Fuzzy PyTorch: Rapid Numerical Variability Evaluation for Deep Learning Models
arxiv:2605.25991 v1 · 2026-05-25 · cs.LG · cs.NA · math.NA
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{BW3RZKTMZGN2XEWOOTIZOH7OZZ}
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 | 2026-05-26T02:05:22.171377Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
0db71caa6cc99bab92ce74d1971feece662a5fb7fcbca5180db0c0f013fff735
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/BW3RZKTMZGN2XEWOOTIZOH7OZZ \
| 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: 0db71caa6cc99bab92ce74d1971feece662a5fb7fcbca5180db0c0f013fff735
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "8ffcf2cee8f633ec1551aa49980a7f2b1062db63850d9f7ad37b742de8c0b06d",
"cross_cats_sorted": [
"cs.NA",
"math.NA"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2026-05-25T16:10:21Z",
"title_canon_sha256": "d374227f267186cf13a5afb3ea5efbf17ebf28784164c515e044b9cf8d977d2f"
},
"schema_version": "1.0",
"source": {
"id": "2605.25991",
"kind": "arxiv",
"version": 1
}
}