Pith Number
pith:JMT3MXC6
pith:2026:JMT3MXC6TK3BTPSV34VCIFYXKG
not attested
not anchored
not stored
refs pending
Token-Based Dual-view Fusion and Adaptation of Large Vision Models for Breast Cancer Classification
arxiv:2607.06309 v1 · 2026-07-07 · cs.CV · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{JMT3MXC6TK3BTPSV34VCIFYXKG}
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 | 2026-07-08T01:19:20.643619Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
4b27b65c5e9ab619be55df2a2417175195649d724c0d6b24a02473c98d55974f
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/JMT3MXC6TK3BTPSV34VCIFYXKG \
| 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: 4b27b65c5e9ab619be55df2a2417175195649d724c0d6b24a02473c98d55974f
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "cfde555e6b2e22008b272680f2f0e152a571fe452b55dee47dfb1abbcbb96c75",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2026-07-07T14:11:54Z",
"title_canon_sha256": "4a8963973d2b889d991b1568399a9140d966f9b8b461f97293624a10bfc9d97c"
},
"schema_version": "1.0",
"source": {
"id": "2607.06309",
"kind": "arxiv",
"version": 1
}
}