Pith Number
pith:26OAPDTK
pith:2019:26OAPDTKRSDNYVHREFA3EVGFWQ
not attested
not anchored
not stored
refs pending
Optimizing the energy consumption of spiking neural networks for neuromorphic applications
arxiv:1912.01268 v2 · 2019-12-03 · cs.NE · cs.LG · q-bio.NC
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{26OAPDTKRSDNYVHREFA3EVGFWQ}
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 | 2026-07-05T00:59:55.919880Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
d79c078e6a8c86dc54f12141b254c5b429e0c5f1edf4ec5bb19b4c26f612ebf4
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/26OAPDTKRSDNYVHREFA3EVGFWQ \
| 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: d79c078e6a8c86dc54f12141b254c5b429e0c5f1edf4ec5bb19b4c26f612ebf4
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "e231f9fb4d14afbe7fd16d1a2924b87ca78f440b7f1e361a78c9dcf8bc97f89e",
"cross_cats_sorted": [
"cs.LG",
"q-bio.NC"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.NE",
"submitted_at": "2019-12-03T09:54:57Z",
"title_canon_sha256": "285170a4d149633861f0a4984c1b182ebedb23eaa78311c219d204e592b529ea"
},
"schema_version": "1.0",
"source": {
"id": "1912.01268",
"kind": "arxiv",
"version": 2
}
}