Pith. sign in
Pith Number

pith:JJ4PRR7Q

pith:2025:JJ4PRR7QAXMX55ZG4ZAZ3VNFY5
not attested not anchored not stored refs pending

A Streaming Sparse Cholesky Method for Derivative-Informed Gaussian Process Surrogates Within Digital Twin Applications

Jacob Hochhalter, Krishna Prasath Logakannan, Robert M. Kirby, Shandian Zhe, Shridhar Vashishtha

arxiv:2511.00366 v2 · 2025-11-01 · stat.ML · cs.CE · cs.LG

Add to your LaTeX paper
\usepackage{pith}
\pithnumber{JJ4PRR7QAXMX55ZG4ZAZ3VNFY5}

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 2026-06-19T16:10:54.081114Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

4a78f8c7f005d97ef726e6419dd5a5c76d74a3a48a0ed3a5adcf02d992e5a00e

Aliases

arxiv: 2511.00366 · arxiv_version: 2511.00366v2 · doi: 10.48550/arxiv.2511.00366 · pith_short_12: JJ4PRR7QAXMX · pith_short_16: JJ4PRR7QAXMX55ZG · pith_short_8: JJ4PRR7Q
Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/JJ4PRR7QAXMX55ZG4ZAZ3VNFY5 \
  | 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: 4a78f8c7f005d97ef726e6419dd5a5c76d74a3a48a0ed3a5adcf02d992e5a00e
Canonical record JSON
{
  "metadata": {
    "abstract_canon_sha256": "5442565ffc8d6aefe05bbb4ebe7ef781d5de802d195f43a116cfcb4b972523b2",
    "cross_cats_sorted": [
      "cs.CE",
      "cs.LG"
    ],
    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "stat.ML",
    "submitted_at": "2025-11-01T02:20:28Z",
    "title_canon_sha256": "7af96e6fb1b9d18f34bebced167cc6ba5c994444fd816f82011c273d5234e920"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2511.00366",
    "kind": "arxiv",
    "version": 2
  }
}