Pith Number

pith:MRRXOV5G

pith:2026:MRRXOV5G2TF43YH4QEQ6FDYAEL

not attested not anchored not stored refs pending

Conditional Attribution for Root Cause Analysis in Time-Series Anomaly Detection

Cedric Schockaert, Didier Stricker, Jason Rambach, Karan Patil, Shashank Mishra

Explaining anomalies by retrieving similar normal states in learned latent spaces yields more reliable root cause attributions for time-series data.

arxiv:2604.17616 v2 · 2026-04-19 · cs.LG

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\pithnumber{MRRXOV5G2TF43YH4QEQ6FDYAEL}

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Record completeness

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3 Author claim open · sign in to claim

4 Citations open

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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

Experiments on the SWaT and MSDS benchmarks demonstrate that the proposed approach consistently improves root-cause identification accuracy, temporal localization, and robustness across multiple anomaly detection models.

C2weakest assumption

That retrieval of normal instances in the learned VAE latent space and UMAP manifold embeddings preserves temporal and cross-feature dependencies and yields operationally meaningful explanations without introducing out-of-distribution artifacts.

C3one line summary

Conditional attribution retrieves contextually similar normal states from VAE latent spaces and UMAP embeddings to explain time-series anomalies while preserving dependencies, improving root-cause accuracy on SWaT and MSDS benchmarks.

Receipt and verification

First computed	2026-06-01T02:03:41.093009Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

64637757a6d4cbcde0fc8121e28f0022e852a26f01b18965ac0e425ccf0415b7

Aliases

arxiv: 2604.17616 · arxiv_version: 2604.17616v2 · doi: 10.48550/arxiv.2604.17616 · pith_short_12: MRRXOV5G2TF4 · pith_short_16: MRRXOV5G2TF43YH4 · pith_short_8: MRRXOV5G

Agent API

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Verify this Pith Number yourself

curl -sH 'Accept: application/ld+json' https://pith.science/pith/MRRXOV5G2TF43YH4QEQ6FDYAEL \
  | 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: 64637757a6d4cbcde0fc8121e28f0022e852a26f01b18965ac0e425ccf0415b7

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "2f8ac10f413151b2e18387514a891d78445302b5d40325c67af4636034dc2244",
    "cross_cats_sorted": [],
    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "cs.LG",
    "submitted_at": "2026-04-19T21:01:52Z",
    "title_canon_sha256": "fcaae344a18dd9eea0a6679b72da433a2696a2f9b0dfc1265027ac56a968c046"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2604.17616",
    "kind": "arxiv",
    "version": 2
  }
}