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Pith Number

pith:HSOKTFNW

pith:2024:HSOKTFNW5SGNTY5NAE2XVRO73N
not attested not anchored not stored refs pending

Exploration of Attention Mechanism-Enhanced Deep Learning Models in the Mining of Medical Textual Data

Lingxi Xiao, Meiqi Wang, Muqing Li, Yinqiu Feng, Zexi Chen, Ziyi Zhu

arxiv:2406.00016 v1 · 2024-05-23 · cs.CL

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\usepackage{pith}
\pithnumber{HSOKTFNW5SGNTY5NAE2XVRO73N}

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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 2026-07-05T08:26:26.960555Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

3c9ca995b6ec8cd9e3ad01357ac5dfdb6ac408de60d39ebf521cc5def3cd2d09

Aliases

arxiv: 2406.00016 · arxiv_version: 2406.00016v1 · doi: 10.48550/arxiv.2406.00016 · pith_short_12: HSOKTFNW5SGN · pith_short_16: HSOKTFNW5SGNTY5N · pith_short_8: HSOKTFNW
Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/HSOKTFNW5SGNTY5NAE2XVRO73N \
  | 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: 3c9ca995b6ec8cd9e3ad01357ac5dfdb6ac408de60d39ebf521cc5def3cd2d09
Canonical record JSON
{
  "metadata": {
    "abstract_canon_sha256": "a44d6bca601ab436917d119161f1cebdd43c71cbae24fb17a1583b76614b51af",
    "cross_cats_sorted": [],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.CL",
    "submitted_at": "2024-05-23T00:20:14Z",
    "title_canon_sha256": "aabafe48efa43768765cd642e4d334776f76e00dab1ee2dd9bcb5ec367d5b586"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2406.00016",
    "kind": "arxiv",
    "version": 1
  }
}