Pith Number
pith:STTNHNME
pith:2024:STTNHNME6A37ORVXAGM7RH5LWX
not attested
not anchored
not stored
refs pending
Ferrari: Federated Feature Unlearning via Optimizing Feature Sensitivity
arxiv:2405.17462 v4 · 2024-05-23 · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{STTNHNME6A37ORVXAGM7RH5LWX}
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 | 2026-07-05T09:58:20.929170Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
94e6d3b584f037f746b70199f89fabb5c38f3f49ccd4e6acb2d3f08742e7a1cc
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/STTNHNME6A37ORVXAGM7RH5LWX \
| 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: 94e6d3b584f037f746b70199f89fabb5c38f3f49ccd4e6acb2d3f08742e7a1cc
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "0e91b931b181452041d3edd45fcd224dd1c6123369db17137d3eb3c8a97a011d",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2024-05-23T07:20:45Z",
"title_canon_sha256": "33d9e8e3354931478f3a5292b85c8d2f4fcd1af873f5226780cc7428ded6ea91"
},
"schema_version": "1.0",
"source": {
"id": "2405.17462",
"kind": "arxiv",
"version": 4
}
}