Pith. sign in
Pith Number

pith:6INMUP2K

pith:2022:6INMUP2KCA6MCAVWYISXBLDXKK
not attested not anchored not stored refs pending

A-NeSI: A Scalable Approximate Method for Probabilistic Neurosymbolic Inference

Annette ten Teije, Emile van Krieken, Frank van Harmelen, Jakub M. Tomczak, Thiviyan Thanapalasingam

arxiv:2212.12393 v3 · 2022-12-23 · cs.LG · cs.AI · cs.LO · stat.ML

Add to your LaTeX paper
\usepackage{pith}
\pithnumber{6INMUP2KCA6MCAVWYISXBLDXKK}

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 2026-07-05T06:53:24.851425Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

f21aca3f4a103cc102b6c22570ac7752ad3b0c53f0a7827dcbd933c6fcf6701d

Aliases

arxiv: 2212.12393 · arxiv_version: 2212.12393v3 · doi: 10.48550/arxiv.2212.12393 · pith_short_12: 6INMUP2KCA6M · pith_short_16: 6INMUP2KCA6MCAVW · pith_short_8: 6INMUP2K
Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/6INMUP2KCA6MCAVWYISXBLDXKK \
  | 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: f21aca3f4a103cc102b6c22570ac7752ad3b0c53f0a7827dcbd933c6fcf6701d
Canonical record JSON
{
  "metadata": {
    "abstract_canon_sha256": "e3090b13f52fabf7a215257125277ec5c5c7af23d47fde5f77139f7139df8d28",
    "cross_cats_sorted": [
      "cs.AI",
      "cs.LO",
      "stat.ML"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.LG",
    "submitted_at": "2022-12-23T15:24:53Z",
    "title_canon_sha256": "b3b1899c50080e72875fa60450b97acbff84db589cb08dc585a1b52b38d7a40e"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2212.12393",
    "kind": "arxiv",
    "version": 3
  }
}