Pith Number
pith:GVLS7Q5G
pith:2018:GVLS7Q5GWOJXZ3ZQSHNAG3N3IZ
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not anchored
not stored
refs pending
A Hybrid Neural Network Framework and Application to Radar Automatic Target Recognition
arxiv:1809.10795 v1 · 2018-09-27 · eess.SP
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{GVLS7Q5GWOJXZ3ZQSHNAG3N3IZ}
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 | 2026-07-05T04:17:32.887134Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
35572fc3a6b3937cef3091da036dbb4670140225dc6080b7310d9bc2a3ac18e3
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/GVLS7Q5GWOJXZ3ZQSHNAG3N3IZ \
| 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: 35572fc3a6b3937cef3091da036dbb4670140225dc6080b7310d9bc2a3ac18e3
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "ced34eb1d43bcb3a9750019bc53b97d05e014ee55d7b7142e45e7c11849bf3dc",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "eess.SP",
"submitted_at": "2018-09-27T23:12:44Z",
"title_canon_sha256": "297654834dde7188501d6fbf6b9a111c3f895ba41014dd4c6b162b3a46b2fd00"
},
"schema_version": "1.0",
"source": {
"id": "1809.10795",
"kind": "arxiv",
"version": 1
}
}