Pith Number
pith:2DMEWCES
pith:2025:2DMEWCESTKW5BS32X67V7E4GH5
not attested
not anchored
not stored
refs pending
Model-Agnostic, Temperature-Informed Sampling Enhances Cross-Year Crop Mapping with Deep Learning
arxiv:2506.12885 v3 · 2025-06-15 · cs.CV · eess.IV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{2DMEWCESTKW5BS32X67V7E4GH5}
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.
Receipt and verification
| First computed | 2026-07-05T11:38:51.768407Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
d0d84b08929aadd0cb7abfbf5f93863f41e7e421e19cd9d1cb1d2ea29b4a1d01
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/2DMEWCESTKW5BS32X67V7E4GH5 \
| 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: d0d84b08929aadd0cb7abfbf5f93863f41e7e421e19cd9d1cb1d2ea29b4a1d01
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "f4c500a2929ecde374bcdaacfc3d625bab0b5a9c2d654309f9475e5ddc1f1927",
"cross_cats_sorted": [
"eess.IV"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CV",
"submitted_at": "2025-06-15T15:30:08Z",
"title_canon_sha256": "abe441678f5af578246c0ffb16235249d8af710fd1c53c08d8df69d821a110f2"
},
"schema_version": "1.0",
"source": {
"id": "2506.12885",
"kind": "arxiv",
"version": 3
}
}