pith. sign in
Pith Number

pith:PY43TLQI

pith:2025:PY43TLQIPPZZYJUHB5XJBPTNPH
not attested not anchored not stored refs pending

RobustiPy: An efficient next generation multiversal library with model selection, averaging, resampling, and explainable artificial intelligence

Charles Rahal, Daniel Valdenegro, Duiyi Dai, Jiani Yan

RobustiPy unifies bootstrap inference, model selection, averaging and explainable AI into one scalable Python library for multiverse analysis.

arxiv:2506.19958 v4 · 2025-06-24 · stat.ME · econ.GN · q-fin.EC · stat.AP · stat.CO

Add to your LaTeX paper
\usepackage{pith}
\pithnumber{PY43TLQIPPZZYJUHB5XJBPTNPH}

Prints a linked badge after your title and injects PDF metadata. Compiles on arXiv. Learn more · Embed verified badge

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

RobustiPy unifies bootstrap-based inference, combinatorial specification search, model selection and averaging, joint-inference routines, and explainable AI methods within a modular, reproducible framework and delivers state-of-the-art computational efficiency on ~672 million simulated regressions.

C2weakest assumption

That the specific combination of methods implemented in RobustiPy produces statistically valid and unbiased uncertainty estimates without introducing implementation artifacts or requiring post-hoc adjustments that affect the central claims about efficiency and transparency.

C3one line summary

RobustiPy is an open-source Python library that unifies multiverse analysis, model selection and averaging, resampling, and explainable AI methods in an efficient framework for empirical research.

Formal links

2 machine-checked theorem links

Receipt and verification
First computed 2026-05-20T00:06:36.068565Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

7e39b9ae087bf39c26870f6e90be6d79edf6481f4df0aef6ac1135b5efae3da5

Aliases

arxiv: 2506.19958 · arxiv_version: 2506.19958v4 · doi: 10.48550/arxiv.2506.19958 · pith_short_12: PY43TLQIPPZZ · pith_short_16: PY43TLQIPPZZYJUH · pith_short_8: PY43TLQI
Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/PY43TLQIPPZZYJUHB5XJBPTNPH \
  | 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: 7e39b9ae087bf39c26870f6e90be6d79edf6481f4df0aef6ac1135b5efae3da5
Canonical record JSON
{
  "metadata": {
    "abstract_canon_sha256": "a78e4f42ee684accff21aa5ad64f1477fc6056285e8ac7925439f1aa3c0b7b6d",
    "cross_cats_sorted": [
      "econ.GN",
      "q-fin.EC",
      "stat.AP",
      "stat.CO"
    ],
    "license": "http://creativecommons.org/licenses/by-nc-nd/4.0/",
    "primary_cat": "stat.ME",
    "submitted_at": "2025-06-24T19:11:42Z",
    "title_canon_sha256": "21c443575d69eb387f1b0b563ec0648097a4cd258ac3dd6c4069e55cab76451e"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2506.19958",
    "kind": "arxiv",
    "version": 4
  }
}