Pith Number
pith:RNJ73WAP
pith:2025:RNJ73WAPM7J7FMIO63LAJKHEO5
not attested
not anchored
not stored
refs pending
Optimization of Low-Latency Spiking Neural Networks Utilizing Historical Dynamics of Refractory Periods
arxiv:2507.02960 v1 · 2025-06-30 · cs.NE · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{RNJ73WAPM7J7FMIO63LAJKHEO5}
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 | 2026-07-05T11:31:49.571325Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
8b53fdd80f67d3f2b10ef6d604a8e4776429c5f68d54cb2ffb0d09fb00857b75
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/RNJ73WAPM7J7FMIO63LAJKHEO5 \
| 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: 8b53fdd80f67d3f2b10ef6d604a8e4776429c5f68d54cb2ffb0d09fb00857b75
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "95da5ddfeb27f53c47f3ed90564bb787beacb814652da0d722ad59f4bad93b82",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://creativecommons.org/licenses/by-nc-nd/4.0/",
"primary_cat": "cs.NE",
"submitted_at": "2025-06-30T04:42:19Z",
"title_canon_sha256": "8183fefb334e939dcf30a083715a7c7164765200bad3c8f69e02bc2ba494ddf1"
},
"schema_version": "1.0",
"source": {
"id": "2507.02960",
"kind": "arxiv",
"version": 1
}
}