Pith Number

pith:ORYOHWOG

pith:2019:ORYOHWOG7QDTL6PLWQR35E2HWP

not attested not anchored not stored refs pending

Improving performance of deep learning models with axiomatic attribution priors and expected gradients

Gabriel Erion, Joseph D. Janizek, Pascal Sturmfels, Scott Lundberg, Su-In Lee

arxiv:1906.10670 v2 · 2019-06-25 · cs.LG · stat.ML

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Add to your LaTeX paper

\usepackage{pith}
\pithnumber{ORYOHWOG7QDTL6PLWQR35E2HWP}

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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

Interpretability-Guided Bi-objective Optimization: Aligning Accuracy and Explainability

Receipt and verification

First computed	2026-07-05T01:50:46.209760Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

7470e3d9c6fc0735f9ebb423be9347b3fdeeb2257d5f7e23f17972be480f611b

Aliases

arxiv: 1906.10670 · arxiv_version: 1906.10670v2 · doi: 10.48550/arxiv.1906.10670 · pith_short_12: ORYOHWOG7QDT · pith_short_16: ORYOHWOG7QDTL6PL · pith_short_8: ORYOHWOG

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/ORYOHWOG7QDTL6PLWQR35E2HWP \
  | 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: 7470e3d9c6fc0735f9ebb423be9347b3fdeeb2257d5f7e23f17972be480f611b

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "b031d9864ab1c85f5273a4cd3d225a1beaf59381435ca9a4b131fc7e3ae2ede1",
    "cross_cats_sorted": [
      "stat.ML"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.LG",
    "submitted_at": "2019-06-25T17:09:34Z",
    "title_canon_sha256": "aeb539886dd3c8561f1535e495a6bb9473ab30c34497c0d1df60b2038fdb815e"
  },
  "schema_version": "1.0",
  "source": {
    "id": "1906.10670",
    "kind": "arxiv",
    "version": 2
  }
}