Pith Number

pith:GVPNZWWT

pith:2020:GVPNZWWT7PRVGBSRRU2F27VYQI

not attested not anchored not stored refs pending

Understanding Integrated Gradients with SmoothTaylor for Deep Neural Network Attribution

Alexander Binder, Gary S. W. Goh, Leander Weber, Sebastian Lapuschkin, Wojciech Samek

arxiv:2004.10484 v2 · 2020-04-22 · cs.CV · stat.ML

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Add to your LaTeX paper

\usepackage{pith}
\pithnumber{GVPNZWWT7PRVGBSRRU2F27VYQI}

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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

Attribution assignment for deep-generative sequence models enables interpretability analysis using positive-only data

Receipt and verification

First computed	2026-07-05T03:10:49.339463Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

355edcdad3fbe35306518d345d7eb88229b102f569676e1640fd516353e2eb8b

Aliases

arxiv: 2004.10484 · arxiv_version: 2004.10484v2 · doi: 10.48550/arxiv.2004.10484 · pith_short_12: GVPNZWWT7PRV · pith_short_16: GVPNZWWT7PRVGBSR · pith_short_8: GVPNZWWT

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/GVPNZWWT7PRVGBSRRU2F27VYQI \
  | 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: 355edcdad3fbe35306518d345d7eb88229b102f569676e1640fd516353e2eb8b

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "b143f3aeb5217a66a52fb6c49a07b691acb532007d386a7a53b201aeea3a4de3",
    "cross_cats_sorted": [
      "stat.ML"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.CV",
    "submitted_at": "2020-04-22T10:43:19Z",
    "title_canon_sha256": "e27a767621209ad9e3a8f8c37281a0bcae03622c2ce1f8f950372f3f58d1d8f8"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2004.10484",
    "kind": "arxiv",
    "version": 2
  }
}