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Pith Number

pith:Z7EQNAVV

pith:2017:Z7EQNAVV2MJXUWQOFUXDEEODF3
not attested not anchored not stored refs pending

Practical Approximation Method for Firing Rate Models of Coupled Neural Networks with Correlated Inputs

Andrea K. Barreiro, Cheng Ly

arxiv:1702.03474 v4 · 2017-02-12 · q-bio.NC · q-bio.QM

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\usepackage{pith}
\pithnumber{Z7EQNAVV2MJXUWQOFUXDEEODF3}

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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 2026-05-18T00:34:04.984353Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

cfc90682b5d3137a5a0e2d2e3211c32ef0d1241cd83c972987cc516c95125c8e

Aliases

arxiv: 1702.03474 · arxiv_version: 1702.03474v4 · doi: 10.48550/arxiv.1702.03474 · pith_short_12: Z7EQNAVV2MJX · pith_short_16: Z7EQNAVV2MJXUWQO · pith_short_8: Z7EQNAVV
Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/Z7EQNAVV2MJXUWQOFUXDEEODF3 \
  | 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: cfc90682b5d3137a5a0e2d2e3211c32ef0d1241cd83c972987cc516c95125c8e
Canonical record JSON
{
  "metadata": {
    "abstract_canon_sha256": "fae5a98f5ce72f343bc201c0d1195707fcbdf8094385f56f886c1179b3bd0fb0",
    "cross_cats_sorted": [
      "q-bio.QM"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "q-bio.NC",
    "submitted_at": "2017-02-12T00:52:12Z",
    "title_canon_sha256": "57b9706745e9d1f0a977c97bba5a5b83464a451d8fc25c88d65c0a55654c4777"
  },
  "schema_version": "1.0",
  "source": {
    "id": "1702.03474",
    "kind": "arxiv",
    "version": 4
  }
}