Pith Number

pith:QYVZGAOL

pith:2024:QYVZGAOLFWTQMMX7VYKTBASLT3

not attested not anchored not stored refs pending

Advancing Training Efficiency of Deep Spiking Neural Networks through Rate-based Backpropagation

Aili Wang, Chengting Yu, Erping Li, Gaoang Wang, Lei Liu

arxiv:2410.11488 v2 · 2024-10-15 · cs.LG · cs.NE

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Add to your LaTeX paper

\usepackage{pith}
\pithnumber{QYVZGAOLFWTQMMX7VYKTBASLT3}

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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.

Cited by

1 paper in Pith

Optimization of Low-Latency Spiking Neural Networks Utilizing Historical Dynamics of Refractory Periods

Receipt and verification

First computed	2026-07-05T09:24:00.357546Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

862b9301cb2da70632ffae1530824b9edfab798d20aaef653a171c5be804f8eb

Aliases

arxiv: 2410.11488 · arxiv_version: 2410.11488v2 · doi: 10.48550/arxiv.2410.11488 · pith_short_12: QYVZGAOLFWTQ · pith_short_16: QYVZGAOLFWTQMMX7 · pith_short_8: QYVZGAOL

Agent API

Resolver JSON Graph JSON Events JSON Schema Signing key

Verify this Pith Number yourself

curl -sH 'Accept: application/ld+json' https://pith.science/pith/QYVZGAOLFWTQMMX7VYKTBASLT3 \
  | 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: 862b9301cb2da70632ffae1530824b9edfab798d20aaef653a171c5be804f8eb

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "29ba82382c3f3c1d80a984feeb124d27ec2413fb0b36f96e0ddb3632fd20298d",
    "cross_cats_sorted": [
      "cs.NE"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.LG",
    "submitted_at": "2024-10-15T10:46:03Z",
    "title_canon_sha256": "663f02351bc38886ff0eae212a1e9a11f92ec846693c91b893570b944975b8cb"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2410.11488",
    "kind": "arxiv",
    "version": 2
  }
}