Pith Number
pith:HIKQJC5X
pith:2024:HIKQJC5X4HFYAD6AVR25VZCYIS
not attested
not anchored
not stored
refs pending
Performance Evaluation of Deep Learning and Transformer Models Using Multimodal Data for Breast Cancer Classification
arxiv:2410.10146 v1 · 2024-10-14 · eess.IV · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{HIKQJC5X4HFYAD6AVR25VZCYIS}
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
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claim
4
Citations
5
Replications
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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 | 2026-07-05T09:20:11.974129Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
3a15048bb7e1cb800fc0ac75dae458448e00046ec98523a6e7689e208f09f611
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/HIKQJC5X4HFYAD6AVR25VZCYIS \
| 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: 3a15048bb7e1cb800fc0ac75dae458448e00046ec98523a6e7689e208f09f611
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "eb75819ec2100a6ebe877fccdac9316cf42250f597ab44e86af62033e4d8f036",
"cross_cats_sorted": [
"cs.CV"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "eess.IV",
"submitted_at": "2024-10-14T04:22:24Z",
"title_canon_sha256": "05336b851d039cfb5ac55502a9c577ee0e824dea0e9beb8532d266acfca97bf1"
},
"schema_version": "1.0",
"source": {
"id": "2410.10146",
"kind": "arxiv",
"version": 1
}
}