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Pith Number

pith:BYEWDEGO

pith:2025:BYEWDEGONR2RW2VVYN7CK3FRED
not attested not anchored not stored refs pending

Machine Learning Algorithm for Noise Reduction and Disease-Causing Gene Feature Extraction in Gene Sequencing Data

Weichen Si, Yihao Ou, Zhen Tian

arxiv:2505.19740 v1 · 2025-05-26 · cs.LG

Add to your LaTeX paper
\usepackage{pith}
\pithnumber{BYEWDEGONR2RW2VVYN7CK3FRED}

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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 2026-07-05T11:09:35.527756Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

0e096190ce6c751b6ab5c37e256cb120f6cf0066be9730fc0031ab507197262f

Aliases

arxiv: 2505.19740 · arxiv_version: 2505.19740v1 · doi: 10.48550/arxiv.2505.19740 · pith_short_12: BYEWDEGONR2R · pith_short_16: BYEWDEGONR2RW2VV · pith_short_8: BYEWDEGO
Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/BYEWDEGONR2RW2VVYN7CK3FRED \
  | 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: 0e096190ce6c751b6ab5c37e256cb120f6cf0066be9730fc0031ab507197262f
Canonical record JSON
{
  "metadata": {
    "abstract_canon_sha256": "eda0d41613fd926258fe52270cc6b326bd46bfb0d30305e11af8375e07820440",
    "cross_cats_sorted": [],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.LG",
    "submitted_at": "2025-05-26T09:23:09Z",
    "title_canon_sha256": "b6fb9ede302a81248e6cbf4d625aeb11c060dd978c1607cc8122fd3e020dfe6a"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2505.19740",
    "kind": "arxiv",
    "version": 1
  }
}