Pith. sign in
Pith Number

pith:FSUSJWZ5

pith:2025:FSUSJWZ5UWQGIDP33ULVZ3MB3O
not attested not anchored not stored refs pending

Distributionally Robust Active Learning for Gaussian Process Regression

Hanju Lee, Hiroyuki Hanada, Ichiro Takeuchi, Noriaki Hashimoto, Satoshi Akahane, Shinya Kojima, Shion Takeno, Taro Murayama, Tatsuya Aoyama, Tomonari Tanaka, Yoshito Okura, Yu Inatsu

arxiv:2502.16870 v3 · 2025-02-24 · cs.LG · stat.ML

Add to your LaTeX paper
\usepackage{pith}
\pithnumber{FSUSJWZ5UWQGIDP33ULVZ3MB3O}

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 2026-07-05T11:32:25.308194Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

2ca924db3da5a0640dfbdd175ced81dbb394732a82427d2788cee54c2d4d1cf5

Aliases

arxiv: 2502.16870 · arxiv_version: 2502.16870v3 · doi: 10.48550/arxiv.2502.16870 · pith_short_12: FSUSJWZ5UWQG · pith_short_16: FSUSJWZ5UWQGIDP3 · pith_short_8: FSUSJWZ5
Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/FSUSJWZ5UWQGIDP33ULVZ3MB3O \
  | 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: 2ca924db3da5a0640dfbdd175ced81dbb394732a82427d2788cee54c2d4d1cf5
Canonical record JSON
{
  "metadata": {
    "abstract_canon_sha256": "6246cfd3d7fcbbc6ca50a64e0e35a3d90f59cb15532a06c39f8bc688e0d71716",
    "cross_cats_sorted": [
      "stat.ML"
    ],
    "license": "http://creativecommons.org/licenses/by-nc-sa/4.0/",
    "primary_cat": "cs.LG",
    "submitted_at": "2025-02-24T06:14:27Z",
    "title_canon_sha256": "98c7e3bca880277dcd7912328e819b064c1ef3bb312b1a11de15a042cbb6e166"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2502.16870",
    "kind": "arxiv",
    "version": 3
  }
}