Paper Citation Record · LEDGER

"Stones from Other Hills can Polish Jade": Zero-shot Anomaly Image Synthesis via Cross-domain Anomaly Injection

As of 11 August 2026, this Paper Citation Record lists 37 of 37 outbound references and 0 inbound Pith citation observations for arXiv:2501.15211.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2501.15211 v2

Coverage vector

measured 37 of 37 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T14:34:44.760799Z

measured 37 of 37 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

37 of 37 outbound references displayed

verified exact2
verified fuzzy28
unresolved7
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 3459e51f-f328-4d0c-a8ed-cbf7d83fe7ef · outbound

This paper cites Mvtec ad–a comprehensive real-world dataset for unsupervised anomaly detection.

"Stones from Other Hills can Polish Jade": Zero-shot Anomaly Image Synthesis via Cross-domain Anomaly Injection Mvtec ad–a comprehensive real-world dataset for unsupervised anomaly detection

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:34:45.193961Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation ed96ce55-6289-4918-bc99-f19433f2e379 · outbound

This paper cites Uninformed students: Student-teacher anomaly detection with discriminative latent embeddings.

"Stones from Other Hills can Polish Jade": Zero-shot Anomaly Image Synthesis via Cross-domain Anomaly Injection Uninformed students: Student-teacher anomaly detection with discriminative latent embeddings

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:34:45.181925Z

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Observation 6f32d112-42d5-415e-98df-74cd25e09e73 · outbound

This paper cites Mixed supervision for surface-defect detection: From weakly to fully supervised learning.

"Stones from Other Hills can Polish Jade": Zero-shot Anomaly Image Synthesis via Cross-domain Anomaly Injection Mixed supervision for surface-defect detection: From weakly to fully supervised learning

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:34:45.168831Z

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 4829ddfa-5c83-40cb-a141-dd95546bb2ee · outbound

This paper cites A unified anomaly synthesis strategy with gradient ascent for industrial anomaly detection and localization.

"Stones from Other Hills can Polish Jade": Zero-shot Anomaly Image Synthesis via Cross-domain Anomaly Injection A unified anomaly synthesis strategy with gradient ascent for industrial anomaly detection and localization

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:34:45.157991Z

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Observation a4060529-37e8-4a53-9dd9-c43cf1523e0c · outbound

This paper cites Fastrecon: Few-shot indus- trial anomaly detection via fast feature reconstruction.

"Stones from Other Hills can Polish Jade": Zero-shot Anomaly Image Synthesis via Cross-domain Anomaly Injection Fastrecon: Few-shot indus- trial anomaly detection via fast feature reconstruction

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:34:45.146895Z

Source-reported events for the cited work

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Observation 7185fcc3-21da-47a0-9c07-34e1c6e2b73f · outbound

This paper cites An image is worth one word: Personalizing text-to-image generation using textual inversion.

"Stones from Other Hills can Polish Jade": Zero-shot Anomaly Image Synthesis via Cross-domain Anomaly Injection An image is worth one word: Personalizing text-to-image generation using textual inversion

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:34:45.133284Z

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Observation 8eba2de8-9ad0-4402-a1ec-281f54c20ef8 · outbound

This paper cites Rembg, 2022.

"Stones from Other Hills can Polish Jade": Zero-shot Anomaly Image Synthesis via Cross-domain Anomaly Injection Rembg, 2022

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:34:45.118245Z

Source-reported events for the cited work

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Observation bb641095-8c81-46f0-a709-f6f8503ef89d · outbound

This paper cites Memorizing normality to detect anomaly: Memory-augmented deep autoencoder for unsupervised anomaly detection.

"Stones from Other Hills can Polish Jade": Zero-shot Anomaly Image Synthesis via Cross-domain Anomaly Injection Memorizing normality to detect anomaly: Memory-augmented deep autoencoder for unsupervised anomaly detection

Reference 8

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Source-reported events for the cited work

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Observation b3055c73-d0ee-4bc5-b3a8-810210e34645 · outbound

This paper cites Generative adversarial networks.

"Stones from Other Hills can Polish Jade": Zero-shot Anomaly Image Synthesis via Cross-domain Anomaly Injection Generative adversarial networks

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-10T14:34:44.662012Z

Source-reported events for the cited work

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Observation 4838020b-0ad0-49fc-9c40-522c0a2ef967 · outbound

This paper cites EISeg: An Efficient Interactive Segmentation Tool based on PaddlePaddle.

"Stones from Other Hills can Polish Jade": Zero-shot Anomaly Image Synthesis via Cross-domain Anomaly Injection EISeg: An Efficient Interactive Segmentation Tool based on PaddlePaddle

Reference 10

Resolution: verified exact; local_arxiv, observed 2026-08-10T14:34:44.820618Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 61b1836e-905c-4706-b501-65abc7869a3d · outbound

This paper cites Gans trained by a two time-scale update rule converge to a local nash equilib- rium.

"Stones from Other Hills can Polish Jade": Zero-shot Anomaly Image Synthesis via Cross-domain Anomaly Injection Gans trained by a two time-scale update rule converge to a local nash equilib- rium

Reference 11

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Source-reported events for the cited work

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Observation 61188b58-203e-49ee-a0fe-929ea5e1eca9 · outbound

This paper cites Anomalyd- iffusion: Few-shot anomaly image generation with diffusion model.

"Stones from Other Hills can Polish Jade": Zero-shot Anomaly Image Synthesis via Cross-domain Anomaly Injection Anomalyd- iffusion: Few-shot anomaly image generation with diffusion model

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:34:45.080380Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 14fefafa-7183-43ac-ab3b-592fe0c24005 · outbound

This paper cites Cagen: Controllable anomaly generator us- ing diffusion model.

"Stones from Other Hills can Polish Jade": Zero-shot Anomaly Image Synthesis via Cross-domain Anomaly Injection Cagen: Controllable anomaly generator us- ing diffusion model

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:34:45.068748Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 86bae8f7-ed11-444a-b5d5-103478eac1ee · outbound

This paper cites Cutpaste: Self-supervised learning for anomaly de- tection and localization.

"Stones from Other Hills can Polish Jade": Zero-shot Anomaly Image Synthesis via Cross-domain Anomaly Injection Cutpaste: Self-supervised learning for anomaly de- tection and localization

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:34:45.057692Z

Source-reported events for the cited work

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Observation c9d33299-13aa-48e9-9cab-11f3c52fa824 · outbound

This paper cites Eid-gan: Generative adversar- ial nets for extremely imbalanced data augmentation.

"Stones from Other Hills can Polish Jade": Zero-shot Anomaly Image Synthesis via Cross-domain Anomaly Injection Eid-gan: Generative adversar- ial nets for extremely imbalanced data augmentation

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:34:45.046160Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 216b7410-3905-4aa2-beb4-9415c77624d5 · outbound

This paper cites Deep indus- trial image anomaly detection: A survey.

"Stones from Other Hills can Polish Jade": Zero-shot Anomaly Image Synthesis via Cross-domain Anomaly Injection Deep indus- trial image anomaly detection: A survey

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:34:45.033479Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation d14cddd9-8d45-44e1-94f0-9e8cc2a2f3ea · outbound

This paper cites Dual-Modeling Decouple Distillation for Unsupervised Anomaly Detection.

"Stones from Other Hills can Polish Jade": Zero-shot Anomaly Image Synthesis via Cross-domain Anomaly Injection Dual-Modeling Decouple Distillation for Unsupervised Anomaly Detection

Reference 17

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Source-reported events for the cited work

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Observation 8eefe8a9-884f-4af7-a86c-85c6785f9b32 · outbound

This paper cites Simplenet: A simple network for image anomaly detection and localization.

"Stones from Other Hills can Polish Jade": Zero-shot Anomaly Image Synthesis via Cross-domain Anomaly Injection Simplenet: A simple network for image anomaly detection and localization

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:34:45.019040Z

Source-reported events for the cited work

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Observation 4c9df93c-edf8-428d-97e8-39b42637b932 · outbound

This paper cites Deep learning for anomaly detection: A review.

"Stones from Other Hills can Polish Jade": Zero-shot Anomaly Image Synthesis via Cross-domain Anomaly Injection Deep learning for anomaly detection: A review

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:34:45.005688Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation e9fdf529-b987-44f0-a8ee-4bdb96006f72 · outbound

This paper cites Pois- son image editing.

"Stones from Other Hills can Polish Jade": Zero-shot Anomaly Image Synthesis via Cross-domain Anomaly Injection Pois- son image editing

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:34:44.994281Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation a4f0cccb-a1bd-44b9-b585-5421461bb24c · outbound

This paper cites Panda: Adapting pretrained features for anomaly detection and segmentation.

"Stones from Other Hills can Polish Jade": Zero-shot Anomaly Image Synthesis via Cross-domain Anomaly Injection Panda: Adapting pretrained features for anomaly detection and segmentation

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:34:44.982780Z

Source-reported events for the cited work

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Observation ebe075d2-a5af-4b26-b2f6-494a423db9b5 · outbound

This paper cites Gan- based defect synthesis for anomaly detection in fabrics.

"Stones from Other Hills can Polish Jade": Zero-shot Anomaly Image Synthesis via Cross-domain Anomaly Injection Gan- based defect synthesis for anomaly detection in fabrics

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:34:44.971637Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation b9877f71-5a7d-42d3-b1ce-79fe80526a31 · outbound

This paper cites High-resolution image synthesis with latent diffusion models.

"Stones from Other Hills can Polish Jade": Zero-shot Anomaly Image Synthesis via Cross-domain Anomaly Injection High-resolution image synthesis with latent diffusion models

Reference 23

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Source-reported events for the cited work

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Observation 35031164-2906-4bb6-a9d4-b02ca2cd46fa · outbound

This paper cites Focal loss for dense ob- ject detection.

"Stones from Other Hills can Polish Jade": Zero-shot Anomaly Image Synthesis via Cross-domain Anomaly Injection Focal loss for dense ob- ject detection

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-10T14:34:44.715160Z

Source-reported events for the cited work

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Observation 3ca1a08a-2d8b-4d41-af6d-e453c85afdd2 · outbound

This paper cites Same same but differnet: Semi-supervised defect detection with normalizing flows.

"Stones from Other Hills can Polish Jade": Zero-shot Anomaly Image Synthesis via Cross-domain Anomaly Injection Same same but differnet: Semi-supervised defect detection with normalizing flows

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-10T14:34:44.718751Z

Source-reported events for the cited work

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Observation 2ead0f94-71d2-4e59-954b-1c3a9f535d13 · outbound

This paper cites Fully convolutional cross-scale-flows for image- based defect detection.

"Stones from Other Hills can Polish Jade": Zero-shot Anomaly Image Synthesis via Cross-domain Anomaly Injection Fully convolutional cross-scale-flows for image- based defect detection

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:34:44.944503Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation e70d3d75-91bc-442c-9089-f4b4fc0453a4 · outbound

This paper cites Natural synthetic anomalies for self-supervised anomaly detection and localization.

"Stones from Other Hills can Polish Jade": Zero-shot Anomaly Image Synthesis via Cross-domain Anomaly Injection Natural synthetic anomalies for self-supervised anomaly detection and localization

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:34:44.935070Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 4a51fe8d-7ee8-424c-8fbd-3a5fdca5a8de · outbound

This paper cites Generative modeling by esti- mating gradients of the data distribution.Advances in Neural Information Processing Systems, 32, 2019.

"Stones from Other Hills can Polish Jade": Zero-shot Anomaly Image Synthesis via Cross-domain Anomaly Injection Generative modeling by esti- mating gradients of the data distribution.Advances in Neural Information Processing Systems, 32, 2019

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:34:44.925450Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation bd95ccf8-e496-4e40-a1a5-e73660ce441c · outbound

This paper cites Defect Transfer GAN: Diverse Defect Synthesis for Data Augmentation.

"Stones from Other Hills can Polish Jade": Zero-shot Anomaly Image Synthesis via Cross-domain Anomaly Injection Defect Transfer GAN: Diverse Defect Synthesis for Data Augmentation

Reference 29

Resolution: verified exact; local_arxiv, observed 2026-08-10T14:34:44.796384Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation d76eb16c-76b0-465a-be51-57c6f2bdd352 · outbound

This paper cites Patch svdd: Patch-level svdd for anomaly detection and segmentation.

"Stones from Other Hills can Polish Jade": Zero-shot Anomaly Image Synthesis via Cross-domain Anomaly Injection Patch svdd: Patch-level svdd for anomaly detection and segmentation

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:34:44.914787Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation b539842a-158e-4ffa-9d72-ec4f986bd7a0 · outbound

This paper cites Draem- a discriminatively trained reconstruction embedding for sur- face anomaly detection.

"Stones from Other Hills can Polish Jade": Zero-shot Anomaly Image Synthesis via Cross-domain Anomaly Injection Draem- a discriminatively trained reconstruction embedding for sur- face anomaly detection

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:34:44.903767Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 0cce5529-1bf9-4189-91fc-abf50458440a · outbound

This paper cites Defect-gan: High-fidelity defect synthesis for automated defect inspection.

"Stones from Other Hills can Polish Jade": Zero-shot Anomaly Image Synthesis via Cross-domain Anomaly Injection Defect-gan: High-fidelity defect synthesis for automated defect inspection

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:34:44.891953Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation fb5aa691-5f09-450c-b8e9-acc66c7cfe3e · outbound

This paper cites Con- textual affinity distillation for image anomaly detection.

"Stones from Other Hills can Polish Jade": Zero-shot Anomaly Image Synthesis via Cross-domain Anomaly Injection Con- textual affinity distillation for image anomaly detection

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:34:44.879642Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 6d9f06dd-96eb-46dd-97b1-61ae591bbe7d · outbound

This paper cites Destseg: Segmentation guided denoising student-teacher for anomaly detection.

"Stones from Other Hills can Polish Jade": Zero-shot Anomaly Image Synthesis via Cross-domain Anomaly Injection Destseg: Segmentation guided denoising student-teacher for anomaly detection

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:34:44.867009Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation ba43c005-d402-43c9-9860-736aa68f486b · outbound

This paper cites Realnet: A feature selection network with realistic synthetic anomaly for anomaly detection.

"Stones from Other Hills can Polish Jade": Zero-shot Anomaly Image Synthesis via Cross-domain Anomaly Injection Realnet: A feature selection network with realistic synthetic anomaly for anomaly detection

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:34:44.855662Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 71bd3317-33e3-48d2-ac15-a752fe9276f3 · outbound

This paper cites Anomalyclip: Object-agnostic prompt learning for zero-shot anomaly detection.

"Stones from Other Hills can Polish Jade": Zero-shot Anomaly Image Synthesis via Cross-domain Anomaly Injection Anomalyclip: Object-agnostic prompt learning for zero-shot anomaly detection

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:34:44.843739Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation ead6f4f2-fc24-478d-899a-f452148341a4 · outbound

This paper cites Spot-the-difference self-supervised pre- training for anomaly detection and segmentation.

"Stones from Other Hills can Polish Jade": Zero-shot Anomaly Image Synthesis via Cross-domain Anomaly Injection Spot-the-difference self-supervised pre- training for anomaly detection and segmentation

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:34:44.832044Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Pith citing papers

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