Pith Number
pith:O2NL4CZW
pith:2020:O2NL4CZWUP6G3LVOX3R4BWLLNE
not attested
not anchored
not stored
refs pending
Direct CMOS Implementation of Neuromorphic Temporal Neural Networks for Sensory Processing
arxiv:2009.00457 v1 · 2020-08-27 · cs.AR · cs.ET · cs.LG · cs.NE
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{O2NL4CZWUP6G3LVOX3R4BWLLNE}
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 | 2026-07-05T01:32:18.656571Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
769abe0b36a3fc6daeaebee3c0d96b691810c5c6a0bf53afe7cfaa3fd5090342
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/O2NL4CZWUP6G3LVOX3R4BWLLNE \
| 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: 769abe0b36a3fc6daeaebee3c0d96b691810c5c6a0bf53afe7cfaa3fd5090342
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "00faccef78adb17b73ce3b5a694773f166c26a77cfaa1ddb9d0317c07db99cbf",
"cross_cats_sorted": [
"cs.ET",
"cs.LG",
"cs.NE"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.AR",
"submitted_at": "2020-08-27T20:36:34Z",
"title_canon_sha256": "3c85e752b1a96c992c63a109828eb922478a810caf97c894fcf807f6bedaf471"
},
"schema_version": "1.0",
"source": {
"id": "2009.00457",
"kind": "arxiv",
"version": 1
}
}