Pith Number
pith:35HBZS7H
pith:2025:35HBZS7HBQPVVUJDZOXNAQIQB4
not attested
not anchored
not stored
refs pending
An Automated, Scalable Machine Learning Model Inversion Assessment Pipeline
arxiv:2509.04214 v1 · 2025-09-04 · cs.CR
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{35HBZS7HBQPVVUJDZOXNAQIQB4}
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.
Receipt and verification
| First computed | 2026-07-05T12:04:55.615399Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
df4e1ccbe70c1f5ad123cbaed041100f250f4d78eb05f608289a4da8d54a43f2
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/35HBZS7HBQPVVUJDZOXNAQIQB4 \
| 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: df4e1ccbe70c1f5ad123cbaed041100f250f4d78eb05f608289a4da8d54a43f2
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "53940d712789ad410020a8950344ce35e8c09e7e016a954351340b36f846c15b",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CR",
"submitted_at": "2025-09-04T13:39:37Z",
"title_canon_sha256": "9292c75d4f1cfa79bebe277f8baecd39c665d464f8c71f7079fdd67461722ab1"
},
"schema_version": "1.0",
"source": {
"id": "2509.04214",
"kind": "arxiv",
"version": 1
}
}