Pith Number

pith:HW7S6OD5

pith:2026:HW7S6OD5CB3CA3ANKQB77IJP3C

not attested not anchored not stored refs pending

NEURON: A Neuro-symbolic System for Grounded Clinical Explainability

Alan Pang, Anuradha Chandrasekaran, Brady D. Lund, Dimitrios Zikos, Kewei Sha, Mutlu Mete

A neuro-symbolic system combines medical ontology with machine learning and language models to raise prediction accuracy while generating natural-language clinical explanations.

arxiv:2605.01189 v2 · 2026-05-02 · cs.AI

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\usepackage{pith}
\pithnumber{HW7S6OD5CB3CA3ANKQB77IJP3C}

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Record completeness

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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

Validated on the MIMIC-IV dataset for Acute Heart Failure mortality prediction, NEURON improved the AUC from 0.74-0.77 to 0.84-0.88 and significantly outperformed raw SHAP visualizations in human-aligned metrics (0.85 vs. 0.50).

C2weakest assumption

That the RAG-grounded LLM layer produces explanations that remain clinically accurate and faithful to the underlying model when the retrieved documents or patient notes contain incomplete or conflicting information.

C3one line summary

NEURON raises AUC from 0.74-0.77 to 0.84-0.88 on MIMIC-IV heart-failure mortality prediction while lifting human-aligned explanation scores from 0.50 to 0.85 by grounding SHAP values in SNOMED CT and patient notes via RAG-LLM.

Receipt and verification

First computed	2026-06-30T02:17:21.955380Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

3dbf2f387d1076206c0d5403ffa12fd8bf56ad1b1587b702ee608785029db3b5

Aliases

arxiv: 2605.01189 · arxiv_version: 2605.01189v2 · doi: 10.48550/arxiv.2605.01189 · pith_short_12: HW7S6OD5CB3C · pith_short_16: HW7S6OD5CB3CA3AN · pith_short_8: HW7S6OD5

Agent API

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Verify this Pith Number yourself

curl -sH 'Accept: application/ld+json' https://pith.science/pith/HW7S6OD5CB3CA3ANKQB77IJP3C \
  | 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: 3dbf2f387d1076206c0d5403ffa12fd8bf56ad1b1587b702ee608785029db3b5

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "22309ce9e2edcf0a9a82d8d6387ce694639d817c7fc6081b824a8f9c3f7622a9",
    "cross_cats_sorted": [],
    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "cs.AI",
    "submitted_at": "2026-05-02T02:00:02Z",
    "title_canon_sha256": "2a29ae3521060405f0a428129938dc0392aa8f223252c3856343e40e5d8c5192"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2605.01189",
    "kind": "arxiv",
    "version": 2
  }
}