Pith Number
pith:MWM2ELU5
pith:2026:MWM2ELU5C56TQ332N66WDJN7OR
not attested
not anchored
not stored
refs pending
VFAD: Variational Semantic Prompting Meets Frequency-Adaptive Representation Learning for Zero-Shot Anomaly Detection
arxiv:2607.29370 v1 · 2026-07-31 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{MWM2ELU5C56TQ332N66WDJN7OR}
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 | 2026-08-03T01:33:25.239321Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
6599a22e9d177d386f7a6fbd61a5bf7462acfaa07d1a47920dc5bdaa088e8f46
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/MWM2ELU5C56TQ332N66WDJN7OR \
| 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: 6599a22e9d177d386f7a6fbd61a5bf7462acfaa07d1a47920dc5bdaa088e8f46
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "60b109e94a579a532f762e484ef0dc86c10c99f2902878111e5b6c14491b9226",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2026-07-31T12:56:01Z",
"title_canon_sha256": "493cf457d8b56ff286444c98b6242bf17709402ff9138394d79046d5f5e61a02"
},
"schema_version": "1.0",
"source": {
"id": "2607.29370",
"kind": "arxiv",
"version": 1
}
}