Paper Citation Record · LEDGER

Quality-Aware Language-Conditioned Local Auto-Regressive Anomaly Synthesis and Detection

As of 10 August 2026, this Paper Citation Record lists 34 of 34 outbound references and 0 inbound Pith citation observations for arXiv:2508.03539.

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

pith.paper-citation-record.v1
2508.03539 v1

Coverage vector

measured 34 of 34 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T04:29:23.070485Z

measured 34 of 34 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+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

34 of 34 outbound references displayed

verified exact0
verified fuzzy27
unresolved7
parse uncertain0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d7760530-56fa-4a70-bbb1-4318d2b39649 · outbound

This paper cites an unresolved cited work.

Quality-Aware Language-Conditioned Local Auto-Regressive Anomaly Synthesis and Detection Unresolved cited work

Reference 1

Resolution: unresolved; raw_fallback, observed 2026-08-06T04:29:29.999772Z

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Observation c90d2d04-dae3-4750-9f3a-dcb9b7873b1d · outbound

This paper cites Qwen2.5-VL Technical Report.

Quality-Aware Language-Conditioned Local Auto-Regressive Anomaly Synthesis and Detection Qwen2.5-VL Technical Report

Reference 2

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Source-reported events for the cited work

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Observation fdb147c5-4314-440d-af43-3ce3d7379a0c · outbound

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

Quality-Aware Language-Conditioned Local Auto-Regressive Anomaly Synthesis and Detection Mvtec ad–a comprehensive real-world dataset for unsupervised anomaly detection

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:29:29.706427Z

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Observation 5009011d-2d5e-42b1-873e-c3d5a91988a2 · outbound

This paper cites AdaCLIP: Adapt- ing CLIP with Hybrid Learnable Prompts for Zero-Shot Anomaly Detection, page 55–72.

Quality-Aware Language-Conditioned Local Auto-Regressive Anomaly Synthesis and Detection AdaCLIP: Adapt- ing CLIP with Hybrid Learnable Prompts for Zero-Shot Anomaly Detection, page 55–72

Reference 4

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Observation 8a99c751-af2c-4129-bd2c-1d7b0c38fc3e · outbound

This paper cites Trans- fusion – a transparency-based diffusion model for anomaly detection.

Quality-Aware Language-Conditioned Local Auto-Regressive Anomaly Synthesis and Detection Trans- fusion – a transparency-based diffusion model for anomaly detection

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:29:29.262693Z

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Observation 7bf55141-0a63-42b7-aea4-47b81f80daaf · outbound

This paper cites Anomalygpt: Detecting industrial anomalies using large vision-language models,.

Quality-Aware Language-Conditioned Local Auto-Regressive Anomaly Synthesis and Detection Anomalygpt: Detecting industrial anomalies using large vision-language models,

Reference 6

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Observation d78bd6af-8c92-4d60-8617-8a2066e12753 · outbound

This paper cites Infinity: Scaling bit- wise autoregressive modeling for high-resolution image syn- thesis, 2024.

Quality-Aware Language-Conditioned Local Auto-Regressive Anomaly Synthesis and Detection Infinity: Scaling bit- wise autoregressive modeling for high-resolution image syn- thesis, 2024

Reference 7

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Observation 3471723c-3a15-44f8-8b27-8746ca72d532 · outbound

This paper cites Diad: A diffusion-based framework for multi-class anomaly detection, 2023.

Quality-Aware Language-Conditioned Local Auto-Regressive Anomaly Synthesis and Detection Diad: A diffusion-based framework for multi-class anomaly detection, 2023

Reference 8

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Observation 60ae78a4-5754-4c61-9e28-afda3bf05239 · outbound

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

Quality-Aware Language-Conditioned Local Auto-Regressive Anomaly Synthesis and Detection Anomalyd- iffusion: Few-shot anomaly image generation with diffusion model

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:29:28.335309Z

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Observation d19309d9-e9f1-4709-b0e1-afa11a1f40ae · outbound

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

Quality-Aware Language-Conditioned Local Auto-Regressive Anomaly Synthesis and Detection Cutpaste: Self-supervised learning for anomaly de- tection and localization

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:29:27.997209Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 4e63f9f7-db4a-4f7b-a1c5-bc8ebf7663de · outbound

This paper cites Promptad: Learn- ing prompts with only normal samples for few-shot anomaly detection, 2024.

Quality-Aware Language-Conditioned Local Auto-Regressive Anomaly Synthesis and Detection Promptad: Learn- ing prompts with only normal samples for few-shot anomaly detection, 2024

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:29:27.746652Z

Source-reported events for the cited work

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Observation 387efa63-1c82-46c3-b180-8ef0a467e64c · outbound

This paper cites Simplenet: A simple network for image anomaly detection and localization, 2023.

Quality-Aware Language-Conditioned Local Auto-Regressive Anomaly Synthesis and Detection Simplenet: A simple network for image anomaly detection and localization, 2023

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:29:27.424304Z

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Observation 7655fcb8-2dd8-437f-bd89-3c40acf63fd3 · outbound

This paper cites Kevin Zhou.

Quality-Aware Language-Conditioned Local Auto-Regressive Anomaly Synthesis and Detection Kevin Zhou

Reference 13

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Observation 300ec07c-cfda-4e66-afdf-67e11200f51a · outbound

This paper cites Vt-adl: A vision trans- former network for image anomaly detection and localiza- tion.

Quality-Aware Language-Conditioned Local Auto-Regressive Anomaly Synthesis and Detection Vt-adl: A vision trans- former network for image anomaly detection and localiza- tion

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:29:26.888800Z

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Observation fb30ef5f-004e-48f2-9011-9773336d278a · outbound

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Quality-Aware Language-Conditioned Local Auto-Regressive Anomaly Synthesis and Detection Unresolved cited work

Reference 15

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Quality-Aware Language-Conditioned Local Auto-Regressive Anomaly Synthesis and Detection Unresolved cited work

Reference 16

Resolution: unresolved; raw_fallback, observed 2026-08-06T04:29:26.521376Z

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Observation 8f492b39-6f95-496a-9467-503c2e5633a7 · outbound

This paper cites Mathphys-guided coarse-to-fine anomaly synthesis with sqe-driven bi-level optimization for anomaly detection, 2025.

Quality-Aware Language-Conditioned Local Auto-Regressive Anomaly Synthesis and Detection Mathphys-guided coarse-to-fine anomaly synthesis with sqe-driven bi-level optimization for anomaly detection, 2025

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:29:26.257286Z

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Observation 27fb3dad-b7bf-45e0-b5c9-a05b41213018 · outbound

This paper cites Vcp-clip: A visual context prompting model for zero-shot anomaly segmenta- tion, 2024.

Quality-Aware Language-Conditioned Local Auto-Regressive Anomaly Synthesis and Detection Vcp-clip: A visual context prompting model for zero-shot anomaly segmenta- tion, 2024

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:29:26.091448Z

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Observation 756a8903-418a-4a26-8275-30901198d365 · outbound

This paper cites Schl ¨uter, Jeremy Tan, Benjamin Hou, and Bern- hard Kainz.

Quality-Aware Language-Conditioned Local Auto-Regressive Anomaly Synthesis and Detection Schl ¨uter, Jeremy Tan, Benjamin Hou, and Bern- hard Kainz

Reference 19

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Observation 72335adf-3b4a-4dd9-a8ac-f73c7161918d · outbound

This paper cites Unseen visual anomaly generation, 2025.

Quality-Aware Language-Conditioned Local Auto-Regressive Anomaly Synthesis and Detection Unseen visual anomaly generation, 2025

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:29:25.776210Z

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Observation 1b716671-28b6-4936-a9c4-bdef4d071ada · outbound

This paper cites Visual autoregressive modeling: Scalable image generation via next-scale prediction, 2024.

Quality-Aware Language-Conditioned Local Auto-Regressive Anomaly Synthesis and Detection Visual autoregressive modeling: Scalable image generation via next-scale prediction, 2024

Reference 21

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Observation 8a28936f-97e2-497f-8322-7034418dfd53 · outbound

This paper cites Duong, Chanh D.

Quality-Aware Language-Conditioned Local Auto-Regressive Anomaly Synthesis and Detection Duong, Chanh D

Reference 22

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Observation e35e67b5-0f27-400e-a9ad-35c1c73326c5 · outbound

This paper cites Leach, Sebastian M.

Quality-Aware Language-Conditioned Local Auto-Regressive Anomaly Synthesis and Detection Leach, Sebastian M

Reference 23

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Observation 38cbab0c-258c-49e7-a401-4ec56f9ac2ac · outbound

This paper cites Glad: Towards better reconstruction with global and local adaptive diffusion mod- els for unsupervised anomaly detection, 2024.

Quality-Aware Language-Conditioned Local Auto-Regressive Anomaly Synthesis and Detection Glad: Towards better reconstruction with global and local adaptive diffusion mod- els for unsupervised anomaly detection, 2024

Reference 24

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Observation da12ae23-cb14-41b5-a55a-66ef5047302d · outbound

This paper cites Arik, and Tomas Pfister.

Quality-Aware Language-Conditioned Local Auto-Regressive Anomaly Synthesis and Detection Arik, and Tomas Pfister

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:29:24.642699Z

Source-reported events for the cited work

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Observation 4da0fdd0-3a5b-48b8-b025-d15a6ac1e598 · outbound

This paper cites DRÆM: A discriminatively trained reconstruction embed- ding for surface anomaly detection.

Quality-Aware Language-Conditioned Local Auto-Regressive Anomaly Synthesis and Detection DRÆM: A discriminatively trained reconstruction embed- ding for surface anomaly detection

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:29:24.460852Z

Source-reported events for the cited work

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Observation a69c578d-40d8-4a68-beb1-e863904969da · outbound

This paper cites Dsr – a dual subspace re-projection network for surface anomaly detection.

Quality-Aware Language-Conditioned Local Auto-Regressive Anomaly Synthesis and Detection Dsr – a dual subspace re-projection network for surface anomaly detection

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:29:24.347098Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 06a235d2-6d7b-4a27-be9e-2a13e827aba5 · outbound

This paper cites DiffusionAD: Norm-guided One-step Denoising Diffusion for Anomaly Detection.

Quality-Aware Language-Conditioned Local Auto-Regressive Anomaly Synthesis and Detection DiffusionAD: Norm-guided One-step Denoising Diffusion for Anomaly Detection

Reference 28

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Source-reported events for the cited work

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Observation 86da266a-86b4-4347-9e0b-4c60b989fa61 · outbound

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

Quality-Aware Language-Conditioned Local Auto-Regressive Anomaly Synthesis and Detection Realnet: A feature selection network with realistic synthetic anomaly for anomaly detection

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:29:24.161656Z

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Observation 0225c56c-8570-4e9f-b11b-7b6511e08a83 · outbound

This paper cites Anomalyclip: Object-agnostic prompt learning for zero-shot anomaly detection, 2025.

Quality-Aware Language-Conditioned Local Auto-Regressive Anomaly Synthesis and Detection Anomalyclip: Object-agnostic prompt learning for zero-shot anomaly detection, 2025

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:29:24.005634Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 7c72b11f-0a30-421d-b08e-d86179622a44 · outbound

This paper cites bottle”, “capsule.

Quality-Aware Language-Conditioned Local Auto-Regressive Anomaly Synthesis and Detection bottle”, “capsule

Reference 31

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Source-reported events for the cited work

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Observation 2d05be9b-0251-4765-b3e6-6032194cf9a6 · outbound

This paper cites an unresolved cited work.

Quality-Aware Language-Conditioned Local Auto-Regressive Anomaly Synthesis and Detection Unresolved cited work

Reference 32

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Source-reported events for the cited work

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Observation 8cc782c4-60e7-40be-a6c2-b0573a1ef623 · outbound

This paper cites an unresolved cited work.

Quality-Aware Language-Conditioned Local Auto-Regressive Anomaly Synthesis and Detection Unresolved cited work

Reference 33

Resolution: unresolved; raw_fallback, observed 2026-08-06T04:29:23.520896Z

Source-reported events for the cited work

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Observation e071588a-7765-4bae-b9ed-2638ab4b339b · outbound

This paper cites from 1/4 to 3/4 horizontally, and from 1/2 to top edge vertically.

Quality-Aware Language-Conditioned Local Auto-Regressive Anomaly Synthesis and Detection from 1/4 to 3/4 horizontally, and from 1/2 to top edge vertically

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:29:23.324110Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Pith citing papers

No inbound Pith citation observations are available.