Pith Number
pith:HUAPU36Y
pith:2018:HUAPU36YLC5T2YIFYHQQT3FK6M
not attested
not anchored
not stored
refs pending
Classifying Multi-channel UWB SAR Imagery via Tensor Sparsity Learning Techniques
arxiv:1810.02812 v1 · 2018-10-04 · eess.SP · cs.LG · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{HUAPU36YLC5T2YIFYHQQT3FK6M}
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 | 2026-05-18T00:04:00.245680Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
3d00fa6fd858bb3d6105c1e109ecaaf30dc5c3a509ef34105aee6a9df1b0f1a3
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/HUAPU36YLC5T2YIFYHQQT3FK6M \
| 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: 3d00fa6fd858bb3d6105c1e109ecaaf30dc5c3a509ef34105aee6a9df1b0f1a3
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "e7a84ef754159673f9a0d4cf61de95be428a2e0990d5daacdbd1e04db26bbb4b",
"cross_cats_sorted": [
"cs.LG",
"stat.ML"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "eess.SP",
"submitted_at": "2018-10-04T22:28:44Z",
"title_canon_sha256": "5b9f2c752ac9f59e9692ca0b778084d19bf30a86d954efc19bde0e87658c5e69"
},
"schema_version": "1.0",
"source": {
"id": "1810.02812",
"kind": "arxiv",
"version": 1
}
}