Pith Number
pith:IB74Y5K7
pith:2018:IB74Y5K7X3PGQSQHO74K6SQW6J
not attested
not anchored
not stored
refs pending
Gaussian and exponential lateral connectivity on distributed spiking neural network simulation
arxiv:1803.08833 v2 · 2018-03-23 · cs.DC · cs.NE · q-bio.NC
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{IB74Y5K7X3PGQSQHO74K6SQW6J}
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 | 2026-05-17T23:53:44.242510Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
407fcc755fbede684a0777f8af4a16f274c0b4821f5cb35f063c1fc3a19ace3c
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/IB74Y5K7X3PGQSQHO74K6SQW6J \
| 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: 407fcc755fbede684a0777f8af4a16f274c0b4821f5cb35f063c1fc3a19ace3c
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "f5b6dc5fd76bd25737edb984ffaed979e26dea5e42dfef6a4068da36a5a92fa2",
"cross_cats_sorted": [
"cs.NE",
"q-bio.NC"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.DC",
"submitted_at": "2018-03-23T15:21:42Z",
"title_canon_sha256": "e5e0af437a4595057978b663277eb6ecdf49a84535df0ac071e1e90b18a2ee6b"
},
"schema_version": "1.0",
"source": {
"id": "1803.08833",
"kind": "arxiv",
"version": 2
}
}