Pith Number
pith:KJDXNHSH
pith:2025:KJDXNHSHQIPSHHSR7PKPXJ5IJI
not attested
not anchored
not stored
refs pending
How does Bayesian Sampling help Membership Inference Attacks?
arxiv:2503.07482 v2 · 2025-03-10 · cs.LG · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{KJDXNHSHQIPSHHSR7PKPXJ5IJI}
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 | 2026-05-26T02:04:59.835143Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
5247769e47821f239e51fbd4fba7a84a1bbc56c624cc7ea2f81ea29482c7fcb7
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/KJDXNHSHQIPSHHSR7PKPXJ5IJI \
| 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: 5247769e47821f239e51fbd4fba7a84a1bbc56c624cc7ea2f81ea29482c7fcb7
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "382317350d1a7272cfd35d2039d82b6edcdcfd448cf615d6f2fa8f7684caef4f",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2025-03-10T15:58:43Z",
"title_canon_sha256": "e5ae8ec5464d1d24e683d47782147c164aef469fd39aa866a06b531152051e54"
},
"schema_version": "1.0",
"source": {
"id": "2503.07482",
"kind": "arxiv",
"version": 2
}
}