Pith Number

pith:K6BXB76Q

pith:2026:K6BXB76QEHBCMVJWHFDFWALA2V

not attested not anchored not stored refs pending

SMT-AD: a scalable quantum-inspired anomaly detection approach

Apimuk Sornsaeng, Dario Poletti, Jonathan Pan, Joshua Lim, Si Min Chan, Swee Liang Wong, Wenxuan Zhang

A quantum-inspired tensor network detects anomalies competitively with linear parameter growth.

arxiv:2604.06265 v2 · 2026-04-07 · cs.LG · cond-mat.stat-mech · quant-ph

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\usepackage{pith}
\pithnumber{K6BXB76QEHBCMVJWHFDFWALA2V}

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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.

Claims

C1strongest claim

even with minimal configurations, it achieves competitive performance against established anomaly detection baselines

C2weakest assumption

That the superposition of bond-dimension-1 matrix product operators combined with Fourier-assisted multiresolution embedding can reliably separate anomalous from normal patterns in real data.

C3one line summary

SMT-AD applies superposition of bond-dimension-1 matrix product operators with multiresolution Fourier embedding to achieve competitive anomaly detection on standard datasets with linear parameter growth.

Formal links

1 machine-checked theorem link

Receipt and verification

First computed	2026-06-19T16:12:20.112768Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

578370ffd021c226553639465b0160d56f0517f585fcd2ed86dd0b56a05be933

Aliases

arxiv: 2604.06265 · arxiv_version: 2604.06265v2 · doi: 10.48550/arxiv.2604.06265 · pith_short_12: K6BXB76QEHBC · pith_short_16: K6BXB76QEHBCMVJW · pith_short_8: K6BXB76Q

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/K6BXB76QEHBCMVJWHFDFWALA2V \
  | 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: 578370ffd021c226553639465b0160d56f0517f585fcd2ed86dd0b56a05be933

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "b043925d734af9aa42a639cc7187cd018ffd23d044e565ee811a336c1a8b4add",
    "cross_cats_sorted": [
      "cond-mat.stat-mech",
      "quant-ph"
    ],
    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "cs.LG",
    "submitted_at": "2026-04-07T02:37:45Z",
    "title_canon_sha256": "a0b1ee2554d8461a3907bcaeac75cb1d22d064db56af83f9649d9cfc56688466"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2604.06265",
    "kind": "arxiv",
    "version": 2
  }
}