Pith Number
pith:G3JVYERQ
pith:2018:G3JVYERQRCZAQW3SM5YU62GTUE
not attested
not anchored
not stored
refs pending
Deriving Neural Network Architectures using Precision Learning: Parallel-to-fan beam Conversion
arxiv:1807.03057 v2 · 2018-07-09 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{G3JVYERQRCZAQW3SM5YU62GTUE}
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 | 2026-05-18T00:02:33.900727Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
36d35c123088b2085b7267714f68d3a108a18f71d547858763200561a5ff91a1
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/G3JVYERQRCZAQW3SM5YU62GTUE \
| 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: 36d35c123088b2085b7267714f68d3a108a18f71d547858763200561a5ff91a1
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "78b10d97e026a500b15eb6ee1e3ab8f3582fb9a1fb7a559413750aad2e9b39b2",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2018-07-09T11:43:07Z",
"title_canon_sha256": "8d332b7e1f3d85da1eb19f2706dbc0ca49d1ffcda8c9611c131442e332eb4aa4"
},
"schema_version": "1.0",
"source": {
"id": "1807.03057",
"kind": "arxiv",
"version": 2
}
}