Pith Number
pith:5F6HLHNR
pith:2025:5F6HLHNRMHG5FO7ZGYMCPDG5R4
not attested
not anchored
not stored
refs pending
Latent Sculpting for Zero-Shot Generalization: A Manifold Learning Approach to Out-of-Distribution Anomaly Detection
arxiv:2512.22179 v3 · 2025-12-19 · cs.LG · cs.CR
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{5F6HLHNRMHG5FO7ZGYMCPDG5R4}
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 | 2026-08-03T01:12:19.725193Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
e97c759db161cdd2bbf93618278cdd8f1b880c91727d8a9ea21a2a99ed97dd01
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/5F6HLHNRMHG5FO7ZGYMCPDG5R4 \
| 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: e97c759db161cdd2bbf93618278cdd8f1b880c91727d8a9ea21a2a99ed97dd01
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "8efd50a05860a2e49befdc02f1419e0e6a2d889509be5fe43a5b541f68c8b9db",
"cross_cats_sorted": [
"cs.CR"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2025-12-19T11:37:02Z",
"title_canon_sha256": "ab35317920b8e62b379644dc0a8aada09f0fc77abd5c476a95f0a4c9d5359fb7"
},
"schema_version": "1.0",
"source": {
"id": "2512.22179",
"kind": "arxiv",
"version": 3
}
}