pith. sign in
Pith Number

pith:DYFUT7J2

pith:2017:DYFUT7J2H74OZ2COJUOBDJPE6C
not attested not anchored not stored refs pending

Segmentation of the Proximal Femur from MR Images using Deep Convolutional Neural Networks

Arakua Welbeck, Cem M. Deniz, Gregory Chang, James S. Babb, Kyunghyun Cho, Siyuan Xiang, Spencer Hallyburton, Stephen Honig

arxiv:1704.06176 v5 · 2017-04-20 · cs.CV · cs.LG · stat.ML

Add to your LaTeX paper
\usepackage{pith}
\pithnumber{DYFUT7J2H74OZ2COJUOBDJPE6C}

Prints a linked badge after your title and injects PDF metadata. Compiles on arXiv. Learn more · Embed verified badge

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 2026-05-17T23:54:48.764820Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

1e0b49fd3a3ff8ece84e4d1c11a5e4f0848423a84327282436053f6abae5c3d7

Aliases

arxiv: 1704.06176 · arxiv_version: 1704.06176v5 · doi: 10.48550/arxiv.1704.06176 · pith_short_12: DYFUT7J2H74O · pith_short_16: DYFUT7J2H74OZ2CO · pith_short_8: DYFUT7J2
Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/DYFUT7J2H74OZ2COJUOBDJPE6C \
  | 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: 1e0b49fd3a3ff8ece84e4d1c11a5e4f0848423a84327282436053f6abae5c3d7
Canonical record JSON
{
  "metadata": {
    "abstract_canon_sha256": "e088ae79c060a5e0513171a0992c55820a9b631ad155b4364911bef0c3f17e56",
    "cross_cats_sorted": [
      "cs.LG",
      "stat.ML"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.CV",
    "submitted_at": "2017-04-20T14:54:29Z",
    "title_canon_sha256": "86762a6324841461984dee34240b74aa6261ec9f2b7c6b00d353bbb6d0b1a93f"
  },
  "schema_version": "1.0",
  "source": {
    "id": "1704.06176",
    "kind": "arxiv",
    "version": 5
  }
}