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pith:UIOL7AWE

pith:2018:UIOL7AWE3IWJ3TDFJTPJ2KZX7H
not attested not anchored not stored refs pending

Improved Energy Reconstruction in NOvA with Regression Convolutional Neural Networks

Jianming Bian, Lars Hertel, Lingge Li, Pierre Baldi

arxiv:1811.04557 v3 · 2018-11-12 · physics.ins-det · hep-ex

Record completeness

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

Cited by

2 papers in Pith

Receipt and verification
First computed2026-05-17T23:55:11.050093Z
Builderpith-number-builder-2026-05-17-v1
SignaturePith Ed25519 (pith-v1-2026-05) · public key
Schemapith-number/v1.0

Canonical hash

a21cbf82c4da2c9dcc654cde9d2b37f9f82e5984344ae96244f4196e7e720185

Aliases

arxiv: 1811.04557 · arxiv_version: 1811.04557v3 · doi: 10.48550/arxiv.1811.04557
Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/UIOL7AWE3IWJ3TDFJTPJ2KZX7H \
  | 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: a21cbf82c4da2c9dcc654cde9d2b37f9f82e5984344ae96244f4196e7e720185
Canonical record JSON
{
  "metadata": {
    "abstract_canon_sha256": "2a856d5f89bafc8d866dfd9839e1fa93fef3722569efade7766f48c59655343a",
    "cross_cats_sorted": [
      "hep-ex"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "physics.ins-det",
    "submitted_at": "2018-11-12T05:19:32Z",
    "title_canon_sha256": "101e35f0013d83bde195eaf3daca915af51e03b17460e7ee5f465bda42e81f65"
  },
  "schema_version": "1.0",
  "source": {
    "id": "1811.04557",
    "kind": "arxiv",
    "version": 3
  }
}