Pith Number
pith:H6C7JLVM
pith:2023:H6C7JLVM4VYKQDLOLTDZSMLMIN
not attested
not anchored
not stored
refs pending
Samples on Thin Ice: Re-Evaluating Adversarial Pruning of Neural Networks
arxiv:2310.08073 v1 · 2023-10-12 · cs.LG · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{H6C7JLVM4VYKQDLOLTDZSMLMIN}
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 | 2026-07-05T07:00:00.568214Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
3f85f4aeace570a80d6e5cc799316c437bd7a0a328c024c40c59ddca845455b9
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/H6C7JLVM4VYKQDLOLTDZSMLMIN \
| 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: 3f85f4aeace570a80d6e5cc799316c437bd7a0a328c024c40c59ddca845455b9
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "a12ebf0fb20cc62333a7ee384da530b5401eb4a263bcf0f8b698ab5b9f018a37",
"cross_cats_sorted": [
"cs.CV"
],
"license": "http://creativecommons.org/licenses/by-nc-nd/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2023-10-12T06:50:43Z",
"title_canon_sha256": "5e545c16babf843661bff053ca5c4388d25ecc9dc7375c99c9b2d1fc1213650f"
},
"schema_version": "1.0",
"source": {
"id": "2310.08073",
"kind": "arxiv",
"version": 1
}
}