Pith Number

pith:IWWO6QEQ

pith:2018:IWWO6QEQNYUQOMOVJW5IKLEX3B

not attested not anchored not stored refs pending

Removing Confounding Factors Associated Weights in Deep Neural Networks Improves the Prediction Accuracy for Healthcare Applications

Eric P. Xing, Haohan Wang, Zhenglin Wu

arxiv:1803.07276 v3 · 2018-03-20 · stat.ML · cs.LG

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\usepackage{pith}
\pithnumber{IWWO6QEQNYUQOMOVJW5IKLEX3B}

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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

Improving Disentangled Representation Learning with the Beta Bernoulli Process

Receipt and verification

First computed	2026-05-18T00:06:46.191214Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

45acef40906e290731d54dba852c97d86bc5dd57935b2b053830744ca568625d

Aliases

arxiv: 1803.07276 · arxiv_version: 1803.07276v3 · doi: 10.48550/arxiv.1803.07276 · pith_short_12: IWWO6QEQNYUQ · pith_short_16: IWWO6QEQNYUQOMOV · pith_short_8: IWWO6QEQ

Agent API

Resolver JSON Graph JSON Events JSON Schema Signing key

Verify this Pith Number yourself

curl -sH 'Accept: application/ld+json' https://pith.science/pith/IWWO6QEQNYUQOMOVJW5IKLEX3B \
  | 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: 45acef40906e290731d54dba852c97d86bc5dd57935b2b053830744ca568625d

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "1b347ef533aa3bd39a1d46572b562de0c82e711e8d2df9a0836ecfa88e43116f",
    "cross_cats_sorted": [
      "cs.LG"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "stat.ML",
    "submitted_at": "2018-03-20T07:24:40Z",
    "title_canon_sha256": "6490d1032726d9d444799b3216c4faf281ef9f2fb96c2c94ec4cdf00698aeb23"
  },
  "schema_version": "1.0",
  "source": {
    "id": "1803.07276",
    "kind": "arxiv",
    "version": 3
  }
}