Pith Number
pith:RRHCFKYS
pith:2020:RRHCFKYSY5FHWN2QJGHPBZVDBV
not attested
not anchored
not stored
refs pending
Effective AER Object Classification Using Segmented Probability-Maximization Learning in Spiking Neural Networks
arxiv:2002.06199 v1 · 2020-02-14 · cs.NE
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{RRHCFKYSY5FHWN2QJGHPBZVDBV}
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 | 2026-07-05T00:41:04.059227Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
8c4e22ab12c74a7b3750498ef0e6a30d7c674a516c46ddcbd99c8b1db5b3932c
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/RRHCFKYSY5FHWN2QJGHPBZVDBV \
| 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: 8c4e22ab12c74a7b3750498ef0e6a30d7c674a516c46ddcbd99c8b1db5b3932c
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "447951a3fa4806245533e00352d3531b7cc9de4c53e242f7d839e75ece19e183",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.NE",
"submitted_at": "2020-02-14T04:10:58Z",
"title_canon_sha256": "ad71778bcef109adf10cb198008653f71f711272f092082d825a9400493d4ad3"
},
"schema_version": "1.0",
"source": {
"id": "2002.06199",
"kind": "arxiv",
"version": 1
}
}