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Pith Number

pith:WCDJXYWL

pith:2022:WCDJXYWL7SEBCF33PCP5WHPLFM
not attested not anchored not stored refs pending

A predictive analytics approach for stroke prediction using machine learning and neural networks

Bharadwaj Veeravalli, Chidozie Shamrock Nwosu, Deepu John, Hewei Wang, Nishtha Jain, Soumyabrata Dev

arxiv:2203.00497 v1 · 2022-03-01 · cs.LG

Add to your LaTeX paper
\usepackage{pith}
\pithnumber{WCDJXYWL7SEBCF33PCP5WHPLFM}

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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 2026-07-05T04:01:18.096742Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

b0869be2cbfc8811177b789fdb1deb2b14ac262699e04b4e28ede88ad471dbff

Aliases

arxiv: 2203.00497 · arxiv_version: 2203.00497v1 · doi: 10.48550/arxiv.2203.00497 · pith_short_12: WCDJXYWL7SEB · pith_short_16: WCDJXYWL7SEBCF33 · pith_short_8: WCDJXYWL
Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/WCDJXYWL7SEBCF33PCP5WHPLFM \
  | 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: b0869be2cbfc8811177b789fdb1deb2b14ac262699e04b4e28ede88ad471dbff
Canonical record JSON
{
  "metadata": {
    "abstract_canon_sha256": "a9637ac4d780c067cbf755951b50df4547cc2137d17fcbee4cf0e45e01a74ba4",
    "cross_cats_sorted": [],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.LG",
    "submitted_at": "2022-03-01T14:45:15Z",
    "title_canon_sha256": "60101632270b10949178d398f7bb1185e2040e01564fd60d95dd1b58415056d9"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2203.00497",
    "kind": "arxiv",
    "version": 1
  }
}