Pith Number
pith:E3M6DO6Y
pith:2025:E3M6DO6Y7RNNTJDA4UAIGLATYP
not attested
not anchored
not stored
refs pending
G$^{2}$SF-MIAD: Geometry-Guided Score Fusion for Multimodal Industrial Anomaly Detection
arxiv:2503.10091 v2 · 2025-03-13 · eess.IV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{E3M6DO6Y7RNNTJDA4UAIGLATYP}
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 | 2026-07-05T11:44:46.479283Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
26d9e1bbd8fc5ad9a460e500832c13c3d514054d9efa73b4c8b1906d014ffe12
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/E3M6DO6Y7RNNTJDA4UAIGLATYP \
| 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: 26d9e1bbd8fc5ad9a460e500832c13c3d514054d9efa73b4c8b1906d014ffe12
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "7771011ed8c7cd8423f9f391b7ee848886dcc51f91216de7d8a82d4653503e46",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "eess.IV",
"submitted_at": "2025-03-13T06:39:38Z",
"title_canon_sha256": "76ddd0fcf79733bd53dc2fc3871b42f625b3aefd1bc7af0a8d86e1d470765e8b"
},
"schema_version": "1.0",
"source": {
"id": "2503.10091",
"kind": "arxiv",
"version": 2
}
}