Pith Number

pith:HYBACC27

pith:2022:HYBACC27FCCSXJ3RFFADB3DSVW

not attested not anchored not stored refs pending

Spike Calibration: Fast and Accurate Conversion of Spiking Neural Network for Object Detection and Segmentation

Qingqun Kong, Xiang He, Yang Li, Yiting Dong, Yi Zeng

arxiv:2207.02702 v1 · 2022-07-06 · cs.CV · cs.AI

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Add to your LaTeX paper

\usepackage{pith}
\pithnumber{HYBACC27FCCSXJ3RFFADB3DSVW}

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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

Integer Binary-Range Alignment Neuron for Spiking Neural Networks

Receipt and verification

First computed	2026-07-05T04:38:07.008948Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

3e02010b5f28852ba771294030ec72ada100a4ee06436ace96280036543dc39c

Aliases

arxiv: 2207.02702 · arxiv_version: 2207.02702v1 · doi: 10.48550/arxiv.2207.02702 · pith_short_12: HYBACC27FCCS · pith_short_16: HYBACC27FCCSXJ3R · pith_short_8: HYBACC27

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/HYBACC27FCCSXJ3RFFADB3DSVW \
  | 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: 3e02010b5f28852ba771294030ec72ada100a4ee06436ace96280036543dc39c

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "58cb5cb41746d90116aef426dc4cd3c0f2fbaec0c95f7783a3e1288ee586981f",
    "cross_cats_sorted": [
      "cs.AI"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.CV",
    "submitted_at": "2022-07-06T14:18:44Z",
    "title_canon_sha256": "b796e417f3ff9970f98d1011dfb528dbb4b4995b36c4373061fc1cd4462ded37"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2207.02702",
    "kind": "arxiv",
    "version": 1
  }
}