Pith Number

pith:YUEHXSRF

pith:2026:YUEHXSRF3K6GFX6G3TSK4THAPN

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MESD: A Risk-Sensitive Metric for Explanation Fairness Across Intersectional Subgroups

Gideon Popoola, John Sheppard

MESD quantifies disparities in explanation stability across intersectional subgroups to detect procedural unfairness missed by outcome metrics.

arxiv:2603.13452 v3 · 2026-03-13 · cs.AI · cs.CY · cs.LG

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\usepackage{pith}
\pithnumber{YUEHXSRF3K6GFX6G3TSK4THAPN}

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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.

Claims

C1strongest claim

MESD reveals procedural disparities invisible to outcome metrics alone.

C2weakest assumption

That disparities in explanation quality across intersectional subgroups, as measured by stability, directly indicate violations of procedural fairness principles.

C3one line summary

MESD is a new procedural fairness metric that quantifies disparities in explanation quality across intersectional subgroups by combining label-aware aggregation, empirical-Bayes shrinkage, and CVaR weighting.

Formal links

2 machine-checked theorem links

Cited by

1 paper in Pith

Fairness of Explanations in Artificial Intelligence (AI): A Unifying Framework, Axioms, and Future Direction toward Responsible AI

Receipt and verification

First computed	2026-05-20T00:01:40.162138Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

c5087bca25dabc62dfc6dce4ae4ce07b5c25c6e082bc65a9b2c429ac3556923f

Aliases

arxiv: 2603.13452 · arxiv_version: 2603.13452v3 · doi: 10.48550/arxiv.2603.13452 · pith_short_12: YUEHXSRF3K6G · pith_short_16: YUEHXSRF3K6GFX6G · pith_short_8: YUEHXSRF

Agent API

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Verify this Pith Number yourself

curl -sH 'Accept: application/ld+json' https://pith.science/pith/YUEHXSRF3K6GFX6G3TSK4THAPN \
  | 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: c5087bca25dabc62dfc6dce4ae4ce07b5c25c6e082bc65a9b2c429ac3556923f

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "a0eb4ff2726f94dd6c10181f92c9044468c2d6ca368c9edadfea4d8331ebdf04",
    "cross_cats_sorted": [
      "cs.CY",
      "cs.LG"
    ],
    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "cs.AI",
    "submitted_at": "2026-03-13T15:42:31Z",
    "title_canon_sha256": "e4a3222f790d55aa531fb1adf5a4519182e62c1c9d05efe3a45e10f23a15038f"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2603.13452",
    "kind": "arxiv",
    "version": 3
  }
}