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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

Dong Xing, Gang Pan, Haibo Ruan, Huajin Tang, Qianhui Liu

arxiv:2002.06199 v1 · 2020-02-14 · cs.NE

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\usepackage{pith}
\pithnumber{RRHCFKYSY5FHWN2QJGHPBZVDBV}

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Record completeness

1 Bitcoin timestamp
2 Internet Archive
3 Author claim open · sign in to claim
4 Citations open
5 Replications open
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

arxiv: 2002.06199 · arxiv_version: 2002.06199v1 · doi: 10.48550/arxiv.2002.06199 · pith_short_12: RRHCFKYSY5FH · pith_short_16: RRHCFKYSY5FHWN2Q · pith_short_8: RRHCFKYS
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
  }
}