Pith. sign in
Pith Number

pith:JEACXQM4

pith:2023:JEACXQM4OBQ2RXF66OO6OGZDVK
not attested not anchored not stored refs pending

Double Debiased Covariate Shift Adaptation Robust to Density-Ratio Estimation

Kota Matsui, Masahiro Kato, Ryo Inokuchi

arxiv:2310.16638 v3 · 2023-10-25 · stat.ME · cs.LG · econ.EM · stat.ML

Add to your LaTeX paper
\usepackage{pith}
\pithnumber{JEACXQM4OBQ2RXF66OO6OGZDVK}

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.

Cited by

1 paper in Pith

Receipt and verification
First computed 2026-07-05T09:26:22.616489Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

49002bc19c7061a8dcbef39de71b23aa8cd5c2a29f5f02aa1db4a1a4865bc0f2

Aliases

arxiv: 2310.16638 · arxiv_version: 2310.16638v3 · doi: 10.48550/arxiv.2310.16638 · pith_short_12: JEACXQM4OBQ2 · pith_short_16: JEACXQM4OBQ2RXF6 · pith_short_8: JEACXQM4
Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/JEACXQM4OBQ2RXF66OO6OGZDVK \
  | 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: 49002bc19c7061a8dcbef39de71b23aa8cd5c2a29f5f02aa1db4a1a4865bc0f2
Canonical record JSON
{
  "metadata": {
    "abstract_canon_sha256": "8c54bcd7baee37445ae4c41592f0913d28e09432540cce58af8f9ac3a5205544",
    "cross_cats_sorted": [
      "cs.LG",
      "econ.EM",
      "stat.ML"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "stat.ME",
    "submitted_at": "2023-10-25T13:38:29Z",
    "title_canon_sha256": "df2a019e900a32b62c34456e129e828e4612dd950b0c6e45d9388abc7aca8834"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2310.16638",
    "kind": "arxiv",
    "version": 3
  }
}