Pith Number
pith:UR2AWMI4
pith:2023:UR2AWMI45654KPRHMDJPOJFJIW
not attested
not anchored
not stored
refs pending
A Deep Learning Approach for SAR Tomographic Imaging of Forested Areas
arxiv:2301.08605 v1 · 2023-01-20 · eess.IV · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{UR2AWMI45654KPRHMDJPOJFJIW}
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.
Receipt and verification
| First computed | 2026-07-05T07:42:38.550216Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
a4740b311cefbbc53e2760d2f724a945bbe49b4b11f8384280eec65b8e557ae8
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/UR2AWMI45654KPRHMDJPOJFJIW \
| 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: a4740b311cefbbc53e2760d2f724a945bbe49b4b11f8384280eec65b8e557ae8
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "fe08b41bd382e0de406dadf5fea49858535665b50f7600f06c3e54174bd6bcf7",
"cross_cats_sorted": [
"cs.CV"
],
"license": "http://creativecommons.org/licenses/by-nc-nd/4.0/",
"primary_cat": "eess.IV",
"submitted_at": "2023-01-20T14:34:03Z",
"title_canon_sha256": "1b23cb98e77a6dc7f0cd741fc156bc4472ce00c8188a0e7934937c441b24b7b1"
},
"schema_version": "1.0",
"source": {
"id": "2301.08605",
"kind": "arxiv",
"version": 1
}
}