Pith Number

pith:FFFMEKHM

pith:2017:FFFMEKHMXRAWYHIYR7MRKCCJF5

not attested not anchored not stored refs pending

An approximate empirical Bayesian method for large-scale linear-Gaussian inverse problems

Jinglai Li, Qingping Zhou, Wenqing Liu, Youssef M. Marzouk

arxiv:1705.07646 v2 · 2017-05-22 · math.NA · 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{FFFMEKHMXRAWYHIYR7MRKCCJF5}

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	2026-05-18T00:09:31.228952Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

294ac228ecbc416c1d188fd91508492f4a41f1e190085595f343248d8727e4fd

Aliases

arxiv: 1705.07646 · arxiv_version: 1705.07646v2 · doi: 10.48550/arxiv.1705.07646 · pith_short_12: FFFMEKHMXRAW · pith_short_16: FFFMEKHMXRAWYHIY · pith_short_8: FFFMEKHM

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/FFFMEKHMXRAWYHIYR7MRKCCJF5 \
  | 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: 294ac228ecbc416c1d188fd91508492f4a41f1e190085595f343248d8727e4fd

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "73141ff2c1edc4b049641d334ecbbb2eaceff6a77bb8c088e693257a93bc9f80",
    "cross_cats_sorted": [
      "stat.CO"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "math.NA",
    "submitted_at": "2017-05-22T10:23:00Z",
    "title_canon_sha256": "87ca016e98ae8a6563075afe92b1c9ceeb9200c4033be496ffc9ec16de663bd9"
  },
  "schema_version": "1.0",
  "source": {
    "id": "1705.07646",
    "kind": "arxiv",
    "version": 2
  }
}