Pith. sign in
Pith Number

pith:JNVBF4T6

pith:2020:JNVBF4T64ILYJVJA4D7FWX7E2N
not attested not anchored not stored refs pending

Hierarchical Bayesian Regression for Multi-Site Normative Modeling of Neuroimaging Data

Andre F. Marquand, Christian F. Beckmann, Hester Huijsdens, Lars T. Westlye, Maarten Mennes, Ole A. Andreassen, Richard Dinga, Seyed Mostafa Kia, Thomas Wolfers

arxiv:2005.12055 v1 · 2020-05-25 · stat.ML · cs.LG · stat.AP

Add to your LaTeX paper
\usepackage{pith}
\pithnumber{JNVBF4T64ILYJVJA4D7FWX7E2N}

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.
Receipt and verification
First computed 2026-07-05T01:05:30.285036Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

4b6a12f27ee21784d520e0fe5b5fe4d34a7291153f48202e402748dbf98f536f

Aliases

arxiv: 2005.12055 · arxiv_version: 2005.12055v1 · doi: 10.48550/arxiv.2005.12055 · pith_short_12: JNVBF4T64ILY · pith_short_16: JNVBF4T64ILYJVJA · pith_short_8: JNVBF4T6
Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/JNVBF4T64ILYJVJA4D7FWX7E2N \
  | 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: 4b6a12f27ee21784d520e0fe5b5fe4d34a7291153f48202e402748dbf98f536f
Canonical record JSON
{
  "metadata": {
    "abstract_canon_sha256": "1cd1ecbc9ee8f0a3baca790c235b1438d7c6dbc98379faaeb96f4b0a1b31e2ec",
    "cross_cats_sorted": [
      "cs.LG",
      "stat.AP"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "stat.ML",
    "submitted_at": "2020-05-25T11:55:19Z",
    "title_canon_sha256": "f66ad4ae50a446d2a2281b88bd6cb0c588d2395ff2fce289004c9bbead1e28c4"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2005.12055",
    "kind": "arxiv",
    "version": 1
  }
}