Pith Number

pith:ZIKEAH7X

pith:2026:ZIKEAH7XR7RWJNVDS4D4MLJWLV

not attested not anchored not stored refs pending

Computationally Efficient Estimation of Localized Treatment Effects for Multi-Level, Multi-Component Interventions to Address the Opioid Crisis

Abdulrahman A. Ahmed, M. Amin Rahimian, Praveen Kumar, Qiushi Chen

A bi-level metamodel with sequential sampling estimates localized opioid intervention effects at 5% error using one-tenth the simulations.

arxiv:2601.03105 v3 · 2026-01-06 · stat.AP · cs.MA · cs.SI · physics.soc-ph

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\usepackage{pith}
\pithnumber{ZIKEAH7XR7RWJNVDS4D4MLJWLV}

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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

Our approach achieves approximately 5% average relative error using one-tenth the number of runs required for an exhaustive simulation when estimating treatment effects of buprenorphine dispensing and naloxone distribution on overdose mortality rates in PA counties.

C2weakest assumption

That the Gaussian process regression can effectively learn and generalize the spatial and socio-economic structures of the treatment effects from the sampled data using locally-contextualized covariates, and that the two-stage sequential sampling prioritizes the most informative counties and conditions without missing critical variations.

C3one line summary

Bi-level metamodel with sequential sampling estimates localized opioid intervention effects at 5% relative error using one-tenth the simulations of exhaustive search.

Formal links

2 machine-checked theorem links

Receipt and verification

First computed	2026-08-03T01:27:41.373603Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

ca14401ff78fe364b6a39707c62d365d671ae006a2de4affa09963ee943a6d9a

Aliases

arxiv: 2601.03105 · arxiv_version: 2601.03105v3 · doi: 10.48550/arxiv.2601.03105 · pith_short_12: ZIKEAH7XR7RW · pith_short_16: ZIKEAH7XR7RWJNVD · pith_short_8: ZIKEAH7X

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/ZIKEAH7XR7RWJNVDS4D4MLJWLV \
  | 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: ca14401ff78fe364b6a39707c62d365d671ae006a2de4affa09963ee943a6d9a

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "dfb12abada78a975b0fb9e06807152f6f51bf6370249cb666ed9121fac0eb68d",
    "cross_cats_sorted": [
      "cs.MA",
      "cs.SI",
      "physics.soc-ph"
    ],
    "license": "http://creativecommons.org/licenses/by-nc-nd/4.0/",
    "primary_cat": "stat.AP",
    "submitted_at": "2026-01-06T15:34:27Z",
    "title_canon_sha256": "4b689cb2a473c2ce331bd3942a617de28e778a781d4b7fffce799b94227219f9"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2601.03105",
    "kind": "arxiv",
    "version": 3
  }
}