Pith Number

pith:GBDOXIAS

pith:2026:GBDOXIASUMMFZCXAJB5JAIW7CA

not attested not anchored not stored refs pending

Auditing Sybil: Explaining Deep Lung Cancer Risk Prediction Through Generative Interventional Attributions

Bartlomiej Sobieski, Jakub Grzywaczewski, Karol Dobiczek, Mateusz W\'ojcik, Matthew Tivnan, Patryk Szatkowski, Przemyslaw Biecek, Przemys{\l}aw Bombi\'nski, Tomasz Bartczak

Sybil lung cancer risk model differentiates malignant nodules like radiologists but shows sensitivity to artifacts and radial bias.

arxiv:2602.02560 v2 · 2026-01-30 · cs.LG · cs.AI · cs.CV

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\usepackage{pith}
\pithnumber{GBDOXIASUMMFZCXAJB5JAIW7CA}

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Record completeness

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2 Internet Archive

3 Author claim open · sign in to claim

4 Citations open

5 Replications open

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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.

Claims

C1strongest claim

Providing the first interventional audit of Sybil, we demonstrate that while the model often exhibits behavior akin to an expert radiologist, differentiating malignant pulmonary nodules from benign ones, it suffers from critical failure modes, including dangerous sensitivity to clinically unjustified artifacts and a distinct radial bias.

C2weakest assumption

That the 3D diffusion bridge produces modifications that isolate true causal contributions without introducing new confounding artifacts that the model could latch onto.

C3one line summary

S(H)NAP audits Sybil via generative interventions and finds it generally distinguishes malignant from benign nodules like experts but shows dangerous sensitivity to unjustified artifacts and radial bias.

Formal links

2 machine-checked theorem links

Receipt and verification

First computed	2026-05-18T02:45:05.587573Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

3046eba012a3185c8ae0487a9022df100229608426c91e84e861eccdef331d88

Aliases

arxiv: 2602.02560 · arxiv_version: 2602.02560v2 · doi: 10.48550/arxiv.2602.02560 · pith_short_12: GBDOXIASUMMF · pith_short_16: GBDOXIASUMMFZCXA · pith_short_8: GBDOXIAS

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/GBDOXIASUMMFZCXAJB5JAIW7CA \
  | 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: 3046eba012a3185c8ae0487a9022df100229608426c91e84e861eccdef331d88

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "14ad4cf085388ad838427c38dd45571f13481b8d9775c6232204702826344905",
    "cross_cats_sorted": [
      "cs.AI",
      "cs.CV"
    ],
    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "cs.LG",
    "submitted_at": "2026-01-30T15:21:52Z",
    "title_canon_sha256": "18a985f5271c018504f55e857e5f30a718381a6295cd8c304aaa0fb2c9509ecd"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2602.02560",
    "kind": "arxiv",
    "version": 2
  }
}