Pith Number
pith:WVLHIDHK
pith:2025:WVLHIDHKUAB23HSXBR2GLBKX5Z
not attested
not anchored
not stored
refs pending
Efficient Leaf Disease Classification and Segmentation using Midpoint Normalization Technique and Attention Mechanism
arxiv:2505.21316 v1 · 2025-05-27 · cs.CV · eess.IV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{WVLHIDHKUAB23HSXBR2GLBKX5Z}
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 | 2026-07-05T11:10:40.037765Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
b556740ceaa003ad9e570c74658557ee53c94363e3682ffdf359a9a97a7c91f9
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/WVLHIDHKUAB23HSXBR2GLBKX5Z \
| 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: b556740ceaa003ad9e570c74658557ee53c94363e3682ffdf359a9a97a7c91f9
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "96a53c860481163dcc58a5b652086c7b449c734c80be6de6071169f0fbc63409",
"cross_cats_sorted": [
"eess.IV"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CV",
"submitted_at": "2025-05-27T15:14:04Z",
"title_canon_sha256": "bc9e8399f811b3c545c0980b3e9d0462a71bb22732c23311143ce8a84401e1fb"
},
"schema_version": "1.0",
"source": {
"id": "2505.21316",
"kind": "arxiv",
"version": 1
}
}