Pith Number

pith:6GVDWK3W

pith:2026:6GVDWK3WRO62WS3LGG2XBMJ6KW

not attested not anchored not stored refs resolved

Policy Learning with Observational Data: The Case of Hepatitis C Treatment for HIV/HCV Co-Infected Patients

Rapha\"el Langevin

Reallocating hepatitis C treatments among HIV co-infected patients could cut costs by CAN$3.6-4.9 million while increasing health benefits.

arxiv:2605.16593 v1 · 2026-05-15 · stat.AP · econ.EM · stat.ML

Open paper page JSON Open Graph Bundle Merged state Verified badge What is a Pith Number?

Add to your LaTeX paper

\usepackage{pith}
\pithnumber{6GVDWK3WRO62WS3LGG2XBMJ6KW}

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

Reallocating treatments among treated individuals could have reduced total treatment costs by CAN$3.6-4.9 million while still increasing aggregate health benefits relative to the status quo.

C2weakest assumption

The outcome model is correctly specified within each homogeneous subgroup identified by the weighted K-means algorithm (abstract, paragraph on CATE estimation).

C3one line summary

A weighted K-means plus decision-tree pipeline learns multi-action policies from observational data and is applied to HCV treatment choices for HIV co-infected patients, finding a high-clearance subgroup and potential cost savings of CAN$3.6-4.9 million.

References

299 extracted · 299 resolved · 0 Pith anchors

[1] Journal of Pharmaceutical Policy and Practice , author = 2021 · doi:10.1186/s40545-021-00385-w

[2] Health Economics , author = 2007 · doi:10.1002/hec.1214

[3] Langevin, Raphaël , month = feb, year =. Bias-. doi:10.48550/arXiv.2601.20197 , abstract = · doi:10.48550/arxiv.2601.20197

[4] Journal of Managed Care & Specialty Pharmacy , author = 2020 · doi:10.18553/jmcp.2020.26.7.879

[5] Tibshirani, Julie and Athey, Susan and Sverdrup, Erik and Wager, Stefan , month = nov, year =. Generalized

Formal links

2 machine-checked theorem links

Receipt and verification

First computed	2026-05-20T00:02:31.590858Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

f1aa3b2b768bbdab4b6b31b570b13e55a481c6b98be2a295722a29625b9d9774

Aliases

arxiv: 2605.16593 · arxiv_version: 2605.16593v1 · doi: 10.48550/arxiv.2605.16593 · pith_short_12: 6GVDWK3WRO62 · pith_short_16: 6GVDWK3WRO62WS3L · pith_short_8: 6GVDWK3W

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/6GVDWK3WRO62WS3LGG2XBMJ6KW \
  | 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: f1aa3b2b768bbdab4b6b31b570b13e55a481c6b98be2a295722a29625b9d9774

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "2fc59e567fa7ea0323826d1f5510584b40cef919195e8b3397fc5b306c5eedc2",
    "cross_cats_sorted": [
      "econ.EM",
      "stat.ML"
    ],
    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "stat.AP",
    "submitted_at": "2026-05-15T19:56:25Z",
    "title_canon_sha256": "9d8202e1ef0143570d4f4243523ccb3dee40c4ee199b6da86164e5cb6119d01e"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2605.16593",
    "kind": "arxiv",
    "version": 1
  }
}