Pith Number
pith:XH4LGLJ6
pith:2022:XH4LGLJ6Z74J7VN6HLXP3LA7JV
not attested
not anchored
not stored
refs pending
A Unified Wasserstein Distributional Robustness Framework for Adversarial Training
arxiv:2202.13437 v1 · 2022-02-27 · cs.LG · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{XH4LGLJ6Z74J7VN6HLXP3LA7JV}
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 | 2026-07-05T04:00:29.648562Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
b9f8b32d3ecff89fd5be3aeefdac1f4d468b343ac8dcdb8ca075fba42eb978c7
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/XH4LGLJ6Z74J7VN6HLXP3LA7JV \
| 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: b9f8b32d3ecff89fd5be3aeefdac1f4d468b343ac8dcdb8ca075fba42eb978c7
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "4e274a563afe6e1065abb673cc6456090e882cfb6192c9d5520d7c85772eb8e9",
"cross_cats_sorted": [
"cs.CV"
],
"license": "http://creativecommons.org/licenses/by-nc-nd/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2022-02-27T19:40:29Z",
"title_canon_sha256": "0d32ab6ddfa89564cecbb11da79f177aca50286e4dfdce4e5cc0bc1b819b06f5"
},
"schema_version": "1.0",
"source": {
"id": "2202.13437",
"kind": "arxiv",
"version": 1
}
}