Pith Number
pith:QEREYWCS
pith:2025:QEREYWCSR3OUYBNVO34L4CMTCZ
not attested
not anchored
not stored
refs pending
Can Large Multimodal Models Understand Agricultural Scenes? Benchmarking with AgroMind
arxiv:2505.12207 v3 · 2025-05-18 · cs.CV · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{QEREYWCSR3OUYBNVO34L4CMTCZ}
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 | 2026-07-05T11:53:03.031567Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
81224c58528edd4c05b576f8be099316548638c37158bc14513ad7fbc1518d8b
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/QEREYWCSR3OUYBNVO34L4CMTCZ \
| 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: 81224c58528edd4c05b576f8be099316548638c37158bc14513ad7fbc1518d8b
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "b7ac5c181a11e5041526301afef06bdc39cb317c3ef037084008102962bab060",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2025-05-18T02:45:19Z",
"title_canon_sha256": "af2230de5c523e71ac59116fb2bd447abe6bbc13cb1e11f96d11ba477f4b602a"
},
"schema_version": "1.0",
"source": {
"id": "2505.12207",
"kind": "arxiv",
"version": 3
}
}