Pith. sign in
Pith Number

pith:U3AGH3PQ

pith:2022:U3AGH3PQINP7SHQ6BHLAWTL3X5
not attested not anchored not stored refs pending

Penalized Overdamped and Underdamped Langevin Monte Carlo Algorithms for Constrained Sampling

Lingjiong Zhu, Mert G\"urb\"uzbalaban, Yuanhan Hu

arxiv:2212.00570 v2 · 2022-11-29 · stat.ML · cs.LG · stat.CO

Add to your LaTeX paper
\usepackage{pith}
\pithnumber{U3AGH3PQINP7SHQ6BHLAWTL3X5}

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 2026-07-05T11:03:12.182042Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

a6c063edf0435ff91e1e09d60b4d7bbf534a640a30a680fd8b6c77679ecc28f8

Aliases

arxiv: 2212.00570 · arxiv_version: 2212.00570v2 · doi: 10.48550/arxiv.2212.00570 · pith_short_12: U3AGH3PQINP7 · pith_short_16: U3AGH3PQINP7SHQ6 · pith_short_8: U3AGH3PQ
Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/U3AGH3PQINP7SHQ6BHLAWTL3X5 \
  | 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: a6c063edf0435ff91e1e09d60b4d7bbf534a640a30a680fd8b6c77679ecc28f8
Canonical record JSON
{
  "metadata": {
    "abstract_canon_sha256": "5f5a239a9e0410cd2f297d08ca7566e7b953c21b7cb3437c631cf370d6cfd21b",
    "cross_cats_sorted": [
      "cs.LG",
      "stat.CO"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "stat.ML",
    "submitted_at": "2022-11-29T18:43:22Z",
    "title_canon_sha256": "93d96d793e51526ed990f85c8ef079fab2f91d458174b1d63193f875af34bfef"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2212.00570",
    "kind": "arxiv",
    "version": 2
  }
}