Pith Number
pith:HNXZHAYI
pith:2025:HNXZHAYIUPXVIZWXUE4R2TMAD5
not attested
not anchored
not stored
refs pending
iNatAg: Multi-Class Classification Models Enabled by a Large-Scale Benchmark Dataset with 4.7M Images of 2,959 Crop and Weed Species
arxiv:2503.20068 v1 · 2025-03-25 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{HNXZHAYIUPXVIZWXUE4R2TMAD5}
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
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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 | 2026-07-05T10:39:31.800465Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
3b6f938308a3ef5466d7a1391d4d801f61c46a66212d4f71bc7a69e2166a9962
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/HNXZHAYIUPXVIZWXUE4R2TMAD5 \
| 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: 3b6f938308a3ef5466d7a1391d4d801f61c46a66212d4f71bc7a69e2166a9962
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "3753f1dadf59a3d86a8783af592f6d77e0433516e13ece0c1e1de260ee25caab",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by-sa/4.0/",
"primary_cat": "cs.CV",
"submitted_at": "2025-03-25T21:04:42Z",
"title_canon_sha256": "8c01c349705ad10562c52f4b183dedf0333e136d55f3bac6c8a6d63fb37d7494"
},
"schema_version": "1.0",
"source": {
"id": "2503.20068",
"kind": "arxiv",
"version": 1
}
}