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Pith Number

pith:PEC4MWNP

pith:2018:PEC4MWNP44DCZ7NF6IA6U3ZPA7
not attested not anchored not stored refs pending

TernaryNet: Faster Deep Model Inference without GPUs for Medical 3D Segmentation using Sparse and Binary Convolutions

Mattias P. Heinrich, Max Blendowski, Ozan Oktay

arxiv:1801.09449 v1 · 2018-01-29 · cs.CV

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\usepackage{pith}
\pithnumber{PEC4MWNP44DCZ7NF6IA6U3ZPA7}

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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

Receipt and verification
First computed 2026-05-18T00:11:57.509343Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

7905c659afe7062cfda5f201ea6f2f07e3b0e96f5c46ae1b3dc20948b8f6cc61

Aliases

arxiv: 1801.09449 · arxiv_version: 1801.09449v1 · doi: 10.48550/arxiv.1801.09449 · pith_short_12: PEC4MWNP44DC · pith_short_16: PEC4MWNP44DCZ7NF · pith_short_8: PEC4MWNP
Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/PEC4MWNP44DCZ7NF6IA6U3ZPA7 \
  | 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: 7905c659afe7062cfda5f201ea6f2f07e3b0e96f5c46ae1b3dc20948b8f6cc61
Canonical record JSON
{
  "metadata": {
    "abstract_canon_sha256": "2b0aa764a2a603ae4c8b47987ae172ed7036472004e6854265fa199c0f6372c2",
    "cross_cats_sorted": [],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.CV",
    "submitted_at": "2018-01-29T11:13:43Z",
    "title_canon_sha256": "5392970c21124d16d19a23025fecae34a575cf5a7204aa566f27f86dd49b2b6d"
  },
  "schema_version": "1.0",
  "source": {
    "id": "1801.09449",
    "kind": "arxiv",
    "version": 1
  }
}