Pith Number

pith:OF373FND

pith:2024:OF373FNDVCRY5XYEMQEGOINIOI

not attested not anchored not stored refs pending

Particle-MALA and Particle-mGRAD: Gradient-based MCMC methods for high-dimensional state-space models

Adrien Corenflos, Axel Finke

arxiv:2401.14868 v1 · 2024-01-26 · stat.CO · stat.ML

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Add to your LaTeX paper

\usepackage{pith}
\pithnumber{OF373FNDVCRY5XYEMQEGOINIOI}

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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

3 papers in Pith

A Bayesian spatio-temporal nearest neighbor Gaussian process model for pooled genetic data

A convergent scheme for the Bayesian filtering problem based on the Fokker--Planck equation and deep splitting

Nonlinear filtering based on density approximation and deep BSDE prediction

Receipt and verification

First computed	2026-07-05T07:38:02.942523Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

7177fd95a3a8a38edf0464086721a87207ddb71357589a537a7507d3a44c769e

Aliases

arxiv: 2401.14868 · arxiv_version: 2401.14868v1 · doi: 10.48550/arxiv.2401.14868 · pith_short_12: OF373FNDVCRY · pith_short_16: OF373FNDVCRY5XYE · pith_short_8: OF373FND

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/OF373FNDVCRY5XYEMQEGOINIOI \
  | 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: 7177fd95a3a8a38edf0464086721a87207ddb71357589a537a7507d3a44c769e

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "c1177b20efe5b443b65ffdf711ecba0d2bac20446f499e0aeaa045f463e60890",
    "cross_cats_sorted": [
      "stat.ML"
    ],
    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "stat.CO",
    "submitted_at": "2024-01-26T13:52:40Z",
    "title_canon_sha256": "056a1c5cb5f789dc1a22f30ba1759fc1f5b340fd41cba6cc0fe7e0257a921d29"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2401.14868",
    "kind": "arxiv",
    "version": 1
  }
}