Pith Number

pith:GT3JCYW4

pith:2019:GT3JCYW4VMJ6Q45SKUROUAUEZN

not attested not anchored not stored refs pending

Heterogeneous Regression Models for Clusters of Spatial Dependent Data

Guanyu Hu, Yishu Xue, Zhihua Ma

arxiv:1907.02212 v4 · 2019-07-04 · econ.EM · stat.CO

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

Add to your LaTeX paper

\usepackage{pith}
\pithnumber{GT3JCYW4VMJ6Q45SKUROUAUEZN}

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	2026-07-05T01:13:53.437044Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

34f69162dcab13e873b25522ea0284cb5d535e2cddd2b35368883b5ebfac85d2

Aliases

arxiv: 1907.02212 · arxiv_version: 1907.02212v4 · doi: 10.48550/arxiv.1907.02212 · pith_short_12: GT3JCYW4VMJ6 · pith_short_16: GT3JCYW4VMJ6Q45S · pith_short_8: GT3JCYW4

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/GT3JCYW4VMJ6Q45SKUROUAUEZN \
  | 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: 34f69162dcab13e873b25522ea0284cb5d535e2cddd2b35368883b5ebfac85d2

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "72ae4015916d67123838a4a7918ceda113208e0d7bec9526906f4f8dbe58af4d",
    "cross_cats_sorted": [
      "stat.CO"
    ],
    "license": "http://creativecommons.org/licenses/by-nc-sa/4.0/",
    "primary_cat": "econ.EM",
    "submitted_at": "2019-07-04T04:13:36Z",
    "title_canon_sha256": "66b95ed764096359485a81deabd9678c408250700433e2e035fa0f26b1af3d1b"
  },
  "schema_version": "1.0",
  "source": {
    "id": "1907.02212",
    "kind": "arxiv",
    "version": 4
  }
}