Pith Number
pith:KBIZVJ7O
pith:2016:KBIZVJ7OQWO62PKVDDX4YA6IHJ
not attested
not anchored
not stored
refs pending
Improving energy efficiency and classification accuracy of neuromorphic chips by learning binary synaptic crossbars
arxiv:1605.07740 v1 · 2016-05-25 · cs.NE
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{KBIZVJ7OQWO62PKVDDX4YA6IHJ}
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 | 2026-05-18T01:13:39.242050Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
50519aa7ee859ded3d5518efcc03c83a73cb5fceeacb07ffb37450c40920add8
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/KBIZVJ7OQWO62PKVDDX4YA6IHJ \
| 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: 50519aa7ee859ded3d5518efcc03c83a73cb5fceeacb07ffb37450c40920add8
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "3f6e0db65145b04cbcdbefba2f88f891f9322f0e3d14cb80f1baa2c04101b4fa",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.NE",
"submitted_at": "2016-05-25T06:09:42Z",
"title_canon_sha256": "f4baffb537f9cb4bfdde52bfe57ff8a0db3cd014841805ec1f3e66a2088e9196"
},
"schema_version": "1.0",
"source": {
"id": "1605.07740",
"kind": "arxiv",
"version": 1
}
}