Pith Number
pith:6FBEWLRR
pith:2017:6FBEWLRRRJ6HEIUD5LSPVQ4WNZ
not attested
not anchored
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refs pending
Artificial Generation of Big Data for Improving Image Classification: A Generative Adversarial Network Approach on SAR Data
arxiv:1711.02010 v1 · 2017-11-06 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{6FBEWLRRRJ6HEIUD5LSPVQ4WNZ}
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 | 2026-05-18T00:31:16.340926Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
f1424b2e318a7c722283eae4fac3966e44d625cb3c7bdce5586a76a1d9e04fd2
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/6FBEWLRRRJ6HEIUD5LSPVQ4WNZ \
| 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: f1424b2e318a7c722283eae4fac3966e44d625cb3c7bdce5586a76a1d9e04fd2
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "cd7b2d90f24d12142d1cf8f2662473283bafb80e20fcbc88da34728f797fdacf",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2017-11-06T16:52:51Z",
"title_canon_sha256": "0b9a0fd95337187e2ff6ddff8aaf14d8d78298925a75f0b1cb8c3a602951a0e0"
},
"schema_version": "1.0",
"source": {
"id": "1711.02010",
"kind": "arxiv",
"version": 1
}
}