Pith Number
pith:TRIKW7EN
pith:2025:TRIKW7ENTGD6HOKJNB64VKLKOM
not attested
not anchored
not stored
refs pending
Towards Optimal Convolutional Transfer Learning Architectures for Breast Lesion Classification and ACL Tear Detection
arxiv:2508.17567 v2 · 2025-08-25 · cs.CV · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{TRIKW7ENTGD6HOKJNB64VKLKOM}
Prints a linked badge after your title and injects PDF metadata. Compiles on arXiv. Learn more · Embed verified badge
Record completeness
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Bitcoin timestamp
2
Internet Archive
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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 | 2026-07-05T11:59:21.177145Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
9c50ab7c8d9987e3b949687dcaa96a7329282f763efcefacd8a85cc079188883
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/TRIKW7ENTGD6HOKJNB64VKLKOM \
| 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: 9c50ab7c8d9987e3b949687dcaa96a7329282f763efcefacd8a85cc079188883
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "6ce6206fc09ab3eed972fec056a0ef5258f450c91d55500344638c3f903293f3",
"cross_cats_sorted": [
"cs.LG"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2025-08-25T00:33:43Z",
"title_canon_sha256": "a1e3f7ad70518817fa55d3bac98d95ce79ead94ebd06888172099dc14386f5d5"
},
"schema_version": "1.0",
"source": {
"id": "2508.17567",
"kind": "arxiv",
"version": 2
}
}