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Pith Number

pith:LCWZDU26

pith:2018:LCWZDU26NZP4WCF6CTJC7PIDWK
not attested not anchored not stored refs pending

Hybrid Macro/Micro Level Backpropagation for Training Deep Spiking Neural Networks

Peng Li, Wenrui Zhang, Yingyezhe Jin

arxiv:1805.07866 v6 · 2018-05-21 · cs.NE · cs.LG

Add to your LaTeX paper
\usepackage{pith}
\pithnumber{LCWZDU26NZP4WCF6CTJC7PIDWK}

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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 2026-05-17T23:55:58.708421Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

58ad91d35e6e5fcb08be14d22fbd03b2b59ac49d02352371d0100a647e7ef482

Aliases

arxiv: 1805.07866 · arxiv_version: 1805.07866v6 · doi: 10.48550/arxiv.1805.07866 · pith_short_12: LCWZDU26NZP4 · pith_short_16: LCWZDU26NZP4WCF6 · pith_short_8: LCWZDU26
Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/LCWZDU26NZP4WCF6CTJC7PIDWK \
  | 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: 58ad91d35e6e5fcb08be14d22fbd03b2b59ac49d02352371d0100a647e7ef482
Canonical record JSON
{
  "metadata": {
    "abstract_canon_sha256": "7cabaefdf2869a98d66dfc835d5e029e3a0e019d574961018e2beb27a82305d7",
    "cross_cats_sorted": [
      "cs.LG"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.NE",
    "submitted_at": "2018-05-21T02:04:30Z",
    "title_canon_sha256": "a2f5291f35e92366bb773aec468ac065480aefe59e786de234fd9e37d0f4b39d"
  },
  "schema_version": "1.0",
  "source": {
    "id": "1805.07866",
    "kind": "arxiv",
    "version": 6
  }
}