Pith Number
pith:YOONGI4E
pith:2019:YOONGI4E5KK3QSJCSHVYOJE4SQ
not attested
not anchored
not stored
refs pending
Machine Learning-based Estimation of Forest Carbon Stocks to increase Transparency of Forest Preservation Efforts
arxiv:1912.07850 v1 · 2019-12-17 · cs.CY · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{YOONGI4E5KK3QSJCSHVYOJE4SQ}
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 | 2026-07-05T00:26:46.403300Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
c39cd32384ea95b8492291eb87249c940c29f4b7a5a0a7f9cab64f375b9d0c97
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/YOONGI4E5KK3QSJCSHVYOJE4SQ \
| 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: c39cd32384ea95b8492291eb87249c940c29f4b7a5a0a7f9cab64f375b9d0c97
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "b329eaf15e2e6d04c2eaaeea11d229d2320a7198919e1bd55d41c38c48dadc7a",
"cross_cats_sorted": [
"cs.LG"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CY",
"submitted_at": "2019-12-17T07:27:26Z",
"title_canon_sha256": "ba348fd2b8cba1c52e50f0826b167be9af3f38a4b13363da9a1a0fe8fc92c209"
},
"schema_version": "1.0",
"source": {
"id": "1912.07850",
"kind": "arxiv",
"version": 1
}
}