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Pith Number

pith:Z4KJ5Q5L

pith:2022:Z4KJ5Q5LAWQCIDMQDKXWL2VJDI
not attested not anchored not stored refs pending

Federated Bayesian Neural Regression: A Scalable Global Federated Gaussian Process

Guojun Zhang, Haolin Yu, Kaiyang Guo, Mahdi Karami, Pascal Poupart, Xi Chen

arxiv:2206.06357 v1 · 2022-06-13 · cs.LG

Add to your LaTeX paper
\usepackage{pith}
\pithnumber{Z4KJ5Q5LAWQCIDMQDKXWL2VJDI}

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 2026-07-05T04:31:18.350352Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

cf149ec3ab05a0240d901aaf65eaa91a0306b0f9bd6e1631539c3f4f58fb5ffa

Aliases

arxiv: 2206.06357 · arxiv_version: 2206.06357v1 · doi: 10.48550/arxiv.2206.06357 · pith_short_12: Z4KJ5Q5LAWQC · pith_short_16: Z4KJ5Q5LAWQCIDMQ · pith_short_8: Z4KJ5Q5L
Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/Z4KJ5Q5LAWQCIDMQDKXWL2VJDI \
  | 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: cf149ec3ab05a0240d901aaf65eaa91a0306b0f9bd6e1631539c3f4f58fb5ffa
Canonical record JSON
{
  "metadata": {
    "abstract_canon_sha256": "43a7edc25df5e13352d75f906e9d72aa30b2c4177cd1c261b7752f9904d84453",
    "cross_cats_sorted": [],
    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "cs.LG",
    "submitted_at": "2022-06-13T17:52:58Z",
    "title_canon_sha256": "8d51956b360ce17b4eff29bc37337488b2e28582a868740ad204489350f45ebf"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2206.06357",
    "kind": "arxiv",
    "version": 1
  }
}