Pith Number
pith:XUFIRCUT
pith:2023:XUFIRCUTFRYOYI3XPJVQCS7YUX
not attested
not anchored
not stored
refs pending
Trainable Projected Gradient Method for Robust Fine-tuning
arxiv:2303.10720 v2 · 2023-03-19 · cs.CV · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{XUFIRCUTFRYOYI3XPJVQCS7YUX}
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
· sign in to
claim
4
Citations
5
Replications
✓
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 | 2026-07-05T05:55:22.152727Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
bd0a888a932c70ec23777a6b014bf8a5e64af6801d4ac8cb66d374b4221b6dde
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/XUFIRCUTFRYOYI3XPJVQCS7YUX \
| 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: bd0a888a932c70ec23777a6b014bf8a5e64af6801d4ac8cb66d374b4221b6dde
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "91dbad81ec0527d32a91e8ba8a5cabe74f4a1d471d8ada37612ddd627c4e3759",
"cross_cats_sorted": [
"cs.LG"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CV",
"submitted_at": "2023-03-19T17:30:44Z",
"title_canon_sha256": "5f1a0afb8b779833165ca4493be62cf743c44c2fc31df58b40c9005e76e0e73b"
},
"schema_version": "1.0",
"source": {
"id": "2303.10720",
"kind": "arxiv",
"version": 2
}
}