Pith Number
pith:HGZW6RRH
pith:2023:HGZW6RRHR2KUJEQQ6LWSO52JNH
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not anchored
not stored
refs pending
A Hybrid Neural Coding Approach for Pattern Recognition with Spiking Neural Networks
arxiv:2305.16594 v2 · 2023-05-26 · cs.NE
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{HGZW6RRHR2KUJEQQ6LWSO52JNH}
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Record completeness
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Bitcoin timestamp
2
Internet Archive
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4
Citations
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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 | 2026-07-05T07:30:02.874489Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
39b36f46278e95449210f2ed27774969e563954cc394c7e07c6884619d08a7f4
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/HGZW6RRHR2KUJEQQ6LWSO52JNH \
| 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: 39b36f46278e95449210f2ed27774969e563954cc394c7e07c6884619d08a7f4
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "8809c8a293cc7ce3da0afe35d7bbd8e4252f1a9ab3f1ec0e2cea16b5ec0a4a08",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.NE",
"submitted_at": "2023-05-26T02:52:12Z",
"title_canon_sha256": "8afe853e386977f8c2bbec7340cbdcc2befb7e1f6ca49c2b8a7ad7eb6f2a0784"
},
"schema_version": "1.0",
"source": {
"id": "2305.16594",
"kind": "arxiv",
"version": 2
}
}