Pith Number
pith:V4U76PIF
pith:2025:V4U76PIFUJLKHU6YHC7KPVWZCX
not attested
not anchored
not stored
refs pending
Self-supervised learning predicts plant growth trajectories from multi-modal industrial greenhouse data
arxiv:2507.06336 v1 · 2025-07-08 · q-bio.QM · cs.LG · cs.RO
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{V4U76PIFUJLKHU6YHC7KPVWZCX}
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 | 2026-07-05T11:34:13.866417Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
af29ff3d05a256a3d3d838bea7d6d915ed643327ca23b839b30efaa2a3e2347c
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/V4U76PIFUJLKHU6YHC7KPVWZCX \
| 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: af29ff3d05a256a3d3d838bea7d6d915ed643327ca23b839b30efaa2a3e2347c
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "d55bc364d6af720b6e2a7a822eb05b6b27368b2896c8701e1ce352168328fcf2",
"cross_cats_sorted": [
"cs.LG",
"cs.RO"
],
"license": "http://creativecommons.org/licenses/by-nc-nd/4.0/",
"primary_cat": "q-bio.QM",
"submitted_at": "2025-07-08T18:55:11Z",
"title_canon_sha256": "2d37eb5805af464e78f8d091fe517b17d01bbc7c6e89c5f5e248a392c67208e7"
},
"schema_version": "1.0",
"source": {
"id": "2507.06336",
"kind": "arxiv",
"version": 1
}
}