Pith Number

pith:XVM6KXWE

pith:2026:XVM6KXWE5UPPVSAHPESGTPPI7R

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Anomaly-Preference Image Generation

Dan Wang, Fuyun Wang, Hui Yan, Sujia Huang, Tong Zhang, Xin Liu, Xu Guo, Yuanzhi Wang, Zhen Cui

Reformulating anomaly image generation as preference learning allows diffusion models to create more realistic and diverse anomalous samples from limited data.

arxiv:2605.02439 v2 · 2026-05-04 · cs.CV · cs.LG

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\pithnumber{XVM6KXWE5UPPVSAHPESGTPPI7R}

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Record completeness

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2 Internet Archive

3 Author claim open · sign in to claim

4 Citations open

5 Replications 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

Extensive experiments demonstrate that [Anomaly Preference Optimization] significantly outperforms existing baselines, achieving state-of-the-art performance in both realism and diversity.

C2weakest assumption

That an implicit preference alignment mechanism leveraging real anomalies as positive references can derive effective optimization signals directly from denoising trajectory deviations without distribution misalignment or overfitting, and that the Time-Aware Capacity Allocation module successfully reconciles fidelity and diversity.

C3one line summary

Anomaly Preference Optimization reformulates anomalous image synthesis as preference learning with implicit alignment from real anomalies and a time-aware capacity allocation module for diffusion models to balance diversity and fidelity.

Formal links

3 machine-checked theorem links

Cited by

2 papers in Pith

Mixture Prototype Flow Matching for Open-Set Supervised Anomaly Detection

Receipt and verification

First computed	2026-05-20T00:04:33.663929Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

bd59e55ec4ed1efac807792469bde8fc525d834c7cdc567175f2be418853a794

Aliases

arxiv: 2605.02439 · arxiv_version: 2605.02439v2 · doi: 10.48550/arxiv.2605.02439 · pith_short_12: XVM6KXWE5UPP · pith_short_16: XVM6KXWE5UPPVSAH · pith_short_8: XVM6KXWE

Agent API

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Verify this Pith Number yourself

curl -sH 'Accept: application/ld+json' https://pith.science/pith/XVM6KXWE5UPPVSAHPESGTPPI7R \
  | 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: bd59e55ec4ed1efac807792469bde8fc525d834c7cdc567175f2be418853a794

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "dfefbcf4eda255b094b58e8af3e6bad2f435fba6129b3c6709243d61a77a7123",
    "cross_cats_sorted": [
      "cs.LG"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.CV",
    "submitted_at": "2026-05-04T10:37:09Z",
    "title_canon_sha256": "eccd89ddae41b0152425282f54df7e9973c4e97699348a7d2220a31597aef6b0"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2605.02439",
    "kind": "arxiv",
    "version": 2
  }
}