Closed form perturbative relativistic modifications to wave-packet dynamics in the quantum harmonic oscillator | Paper Citation Record

Observation 3cecf9fb-397d-4efc-a76f-ca5cf21c9877 · outbound

This paper cites Zero-shot versus many-shot: Unsupervised texture anomaly detection.

Closed form perturbative relativistic modifications to wave-packet dynamics in the quantum harmonic oscillator Zero-shot versus many-shot: Unsupervised texture anomaly detection

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This paper cites The RSNA-ASNR-MICCAI BraTS 2021 Benchmark on Brain Tumor Segmentation and Radiogenomic Classification.

Closed form perturbative relativistic modifications to wave-packet dynamics in the quantum harmonic oscillator The RSNA-ASNR-MICCAI BraTS 2021 Benchmark on Brain Tumor Segmentation and Radiogenomic Classification

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This paper cites Kirby, John B.

Closed form perturbative relativistic modifications to wave-packet dynamics in the quantum harmonic oscillator Kirby, John B

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This paper cites Diagnostic assessment of deep learning algo- rithms for detection of lymph node metastases in women with breast cancer.JAMA, 318:2199–2210, 2017.

Closed form perturbative relativistic modifications to wave-packet dynamics in the quantum harmonic oscillator Diagnostic assessment of deep learning algo- rithms for detection of lymph node metastases in women with breast cancer.JAMA, 318:2199–2210, 2017

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This paper cites Generalized Denoising Auto-Encoders as Generative Models.

Closed form perturbative relativistic modifications to wave-packet dynamics in the quantum harmonic oscillator Generalized Denoising Auto-Encoders as Generative Models

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Observation cd233b53-6a22-429d-8384-f23c1cbda428 · outbound

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

Closed form perturbative relativistic modifications to wave-packet dynamics in the quantum harmonic oscillator Mvtec ad — a comprehensive real-world dataset for unsupervised anomaly detection

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Observation d77e3759-d930-4a45-a734-8ee84a7b085f · outbound

This paper cites Wm-dova maps for accurate polyp high- lighting in colonoscopy: Validation vs.

Closed form perturbative relativistic modifications to wave-packet dynamics in the quantum harmonic oscillator Wm-dova maps for accurate polyp high- lighting in colonoscopy: Validation vs

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Observation e06e62e5-fa2e-4b60-97e3-e2b687f1e00e · outbound

This paper cites Segment Any Anomaly without Training via Hybrid Prompt Regularization.

Closed form perturbative relativistic modifications to wave-packet dynamics in the quantum harmonic oscillator Segment Any Anomaly without Training via Hybrid Prompt Regularization

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Observation 3bb47088-5709-4b79-ad79-7dd6f2d438c5 · outbound

This paper cites Adaclip: Adapting clip with hybrid learnable prompts for zero-shot anomaly de- tection, 2024.

Closed form perturbative relativistic modifications to wave-packet dynamics in the quantum harmonic oscillator Adaclip: Adapting clip with hybrid learnable prompts for zero-shot anomaly de- tection, 2024

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This paper cites APRIL-GAN: A Zero-/Few-Shot Anomaly Classification and Segmentation Method for CVPR 2023 VAND Workshop Challenge Tracks 1&2: 1st Place on Zero-shot AD and 4th Place on Few-shot AD.

Closed form perturbative relativistic modifications to wave-packet dynamics in the quantum harmonic oscillator APRIL-GAN: A Zero-/Few-Shot Anomaly Classification and Segmentation Method for CVPR 2023 VAND Workshop Challenge Tracks 1&2: 1st Place on Zero-shot AD and 4th Place on Few-shot AD

Reference 10

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This paper cites CLIP-AD: A Language-Guided Staged Dual-Path Model for Zero-shot Anomaly Detection.

Closed form perturbative relativistic modifications to wave-packet dynamics in the quantum harmonic oscillator CLIP-AD: A Language-Guided Staged Dual-Path Model for Zero-shot Anomaly Detection

Reference 11

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This paper cites Padim: a patch distribution modeling framework for anomaly detection and localization.

Closed form perturbative relativistic modifications to wave-packet dynamics in the quantum harmonic oscillator Padim: a patch distribution modeling framework for anomaly detection and localization

Reference 12

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This paper cites An image is worth 16x16 words: Trans- formers for image recognition at scale.

Closed form perturbative relativistic modifications to wave-packet dynamics in the quantum harmonic oscillator An image is worth 16x16 words: Trans- formers for image recognition at scale

Reference 13

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Observation 503afe76-da78-42c8-b458-2f16c486c19f · outbound

This paper cites MetaUAS: Universal Anomaly Segmentation with One-Prompt Meta-Learning.

Closed form perturbative relativistic modifications to wave-packet dynamics in the quantum harmonic oscillator MetaUAS: Universal Anomaly Segmentation with One-Prompt Meta-Learning

Reference 14

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Observation 48410e2c-b3db-47d6-8b3b-b780593c2ada · outbound

This paper cites Learning to detect multi-class anomalies with just one normal image prompt.

Closed form perturbative relativistic modifications to wave-packet dynamics in the quantum harmonic oscillator Learning to detect multi-class anomalies with just one normal image prompt

Reference 15

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This paper cites AdaptCLIP: Adapting CLIP for Universal Visual Anomaly Detection.

Closed form perturbative relativistic modifications to wave-packet dynamics in the quantum harmonic oscillator AdaptCLIP: Adapting CLIP for Universal Visual Anomaly Detection

Reference 16

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Closed form perturbative relativistic modifications to wave-packet dynamics in the quantum harmonic oscillator Unresolved cited work

Reference 17

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Observation 3cf97f8c-dd60-45cd-aed1-e077ed1ba769 · outbound

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

Closed form perturbative relativistic modifications to wave-packet dynamics in the quantum harmonic oscillator Memorizing normality to detect anomaly: Memory-augmented deep autoencoder for unsupervised anomaly detection

Reference 18

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Observation daa9d12a-f21f-453a-8a58-de10cb4b06c2 · outbound

This paper cites Halvorsen, Hugo Lewi Hammer, and M.

Closed form perturbative relativistic modifications to wave-packet dynamics in the quantum harmonic oscillator Halvorsen, Hugo Lewi Hammer, and M

Reference 19

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Observation 74bb55f5-a476-4dd5-9292-44511ceb52c1 · outbound

This paper cites Enhancing zero-shot anomaly detection: Clip-sam col- laboration with cascaded prompts.

Closed form perturbative relativistic modifications to wave-packet dynamics in the quantum harmonic oscillator Enhancing zero-shot anomaly detection: Clip-sam col- laboration with cascaded prompts

Reference 20

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Observation a7e336dd-146c-4af8-8bc9-97abf1b9b490 · outbound

This paper cites StackCLIP: Clustering-Driven Stacked Prompt in Zero-Shot Industrial Anomaly Detection.

Closed form perturbative relativistic modifications to wave-packet dynamics in the quantum harmonic oscillator StackCLIP: Clustering-Driven Stacked Prompt in Zero-Shot Industrial Anomaly Detection

Reference 21

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Observation 5ad69504-4547-46bb-b48f-5f87a12b7c87 · outbound

This paper cites Soft reasoning paths for knowledge graph comple- tion.

Closed form perturbative relativistic modifications to wave-packet dynamics in the quantum harmonic oscillator Soft reasoning paths for knowledge graph comple- tion

Reference 22

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Observation 3812b43a-8cb5-46a7-9542-e32cb115ebd2 · outbound

This paper cites Winclip: Zero- /few-shot anomaly classification and segmentation.

Closed form perturbative relativistic modifications to wave-packet dynamics in the quantum harmonic oscillator Winclip: Zero- /few-shot anomaly classification and segmentation

Reference 23

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Observation 6c950c9c-4036-459e-aae1-f2e149554f04 · outbound

This paper cites Riegler, P.

Closed form perturbative relativistic modifications to wave-packet dynamics in the quantum harmonic oscillator Riegler, P

Reference 24

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Observation 7446efb2-ca96-4e52-9299-5b5fb3ffb890 · outbound

This paper cites Kermany, Michael H.

Closed form perturbative relativistic modifications to wave-packet dynamics in the quantum harmonic oscillator Kermany, Michael H

Reference 25

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This paper cites Self-regulating prompts: Foundational model adaptation without forgetting.

Closed form perturbative relativistic modifications to wave-packet dynamics in the quantum harmonic oscillator Self-regulating prompts: Foundational model adaptation without forgetting

Reference 26

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This paper cites Cutpaste: Self-supervised learning for anomaly detec- tion and localization.2021 IEEE/CVF Conference on Com- puter Vision and Pattern Recognition (CVPR), pages 9659– 9669, 2021.

Closed form perturbative relativistic modifications to wave-packet dynamics in the quantum harmonic oscillator Cutpaste: Self-supervised learning for anomaly detec- tion and localization.2021 IEEE/CVF Conference on Com- puter Vision and Pattern Recognition (CVPR), pages 9659– 9669, 2021

Reference 27

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Observation 4793029c-6f6c-46d6-8866-3d62eb6d2b83 · outbound

This paper cites an unresolved cited work.

Closed form perturbative relativistic modifications to wave-packet dynamics in the quantum harmonic oscillator Unresolved cited work

Reference 28

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Closed form perturbative relativistic modifications to wave-packet dynamics in the quantum harmonic oscillator Unresolved cited work

Reference 29

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Observation fdbd2a21-0501-4718-b912-e62552760891 · outbound

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

Closed form perturbative relativistic modifications to wave-packet dynamics in the quantum harmonic oscillator Promptad: Learn- ing prompts with only normal samples for few-shot anomaly detection

Reference 30

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Observation 969d5595-682a-4ab2-a3dc-ba68f2e2811d · outbound

This paper cites Grounding DINO: marrying DINO with grounded pre-training for open-set object detection.CoRR,.

Closed form perturbative relativistic modifications to wave-packet dynamics in the quantum harmonic oscillator Grounding DINO: marrying DINO with grounded pre-training for open-set object detection.CoRR,

Reference 31

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Observation 89f6ade9-15d2-4c94-8ed6-5c4f714cfd0c · outbound

This paper cites Aa- clip: Enhancing zero-shot anomaly detection via anomaly- aware clip.2025 IEEE/CVF Conference on Computer Vi- sion and Pattern Recognition (CVPR), pages 4744–4754,.

Closed form perturbative relativistic modifications to wave-packet dynamics in the quantum harmonic oscillator Aa- clip: Enhancing zero-shot anomaly detection via anomaly- aware clip.2025 IEEE/CVF Conference on Computer Vi- sion and Pattern Recognition (CVPR), pages 4744–4754,

Reference 32

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Observation cf315c1c-24ad-4c25-8619-c0f248aa8cfa · outbound

This paper cites MOCCA: multilayer one-class classification for anomaly de- tection.IEEE Trans.

Closed form perturbative relativistic modifications to wave-packet dynamics in the quantum harmonic oscillator MOCCA: multilayer one-class classification for anomaly de- tection.IEEE Trans

Reference 33

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Observation 2930f026-1d55-4dbd-ba72-a30096a3f031 · outbound

This paper cites The multimodal brain tumor image segmentation benchmark (brats).IEEE Transactions on Medical Imaging, 34:1993– 2024, 2015.

Closed form perturbative relativistic modifications to wave-packet dynamics in the quantum harmonic oscillator The multimodal brain tumor image segmentation benchmark (brats).IEEE Transactions on Medical Imaging, 34:1993– 2024, 2015

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Observation dda6ad43-9a17-47dc-92e4-9efce3eff006 · outbound

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

Closed form perturbative relativistic modifications to wave-packet dynamics in the quantum harmonic oscillator VT-ADL: A vision trans- former network for image anomaly detection and localiza- tion

Reference 35

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Observation 14d7d5ac-849f-4c32-969e-0eec154f5247 · outbound

This paper cites RGI: robust gan- inversion for mask-free image inpainting and unsupervised pixel-wise anomaly detection.

Closed form perturbative relativistic modifications to wave-packet dynamics in the quantum harmonic oscillator RGI: robust gan- inversion for mask-free image inpainting and unsupervised pixel-wise anomaly detection

Reference 36

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This paper cites Rabbat, Vasu Sharma, Gabriel Synnaeve, Hu Xu, Herv´e J´egou, Julien Mairal, Patrick Labatut, Armand Joulin, and Piotr Bojanowski.

Closed form perturbative relativistic modifications to wave-packet dynamics in the quantum harmonic oscillator Rabbat, Vasu Sharma, Gabriel Synnaeve, Hu Xu, Herv´e J´egou, Julien Mairal, Patrick Labatut, Armand Joulin, and Piotr Bojanowski

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Observation b2639206-bd35-4a3a-9f9c-f75bc2e96235 · outbound

This paper cites an unresolved cited work.

Closed form perturbative relativistic modifications to wave-packet dynamics in the quantum harmonic oscillator Unresolved cited work

Reference 38

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Observation fb84a945-ce4d-415f-9e7d-e43315182d93 · outbound

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

Closed form perturbative relativistic modifications to wave-packet dynamics in the quantum harmonic oscillator Vcp-clip: A visual context prompting model for zero-shot anomaly segmenta- tion

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Observation e98df8fa-f4a0-455e-8fc1-36ab0ab349c6 · outbound

This paper cites Bayesian prompt flow learning for zero-shot anomaly detec- tion.2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pages 30398–30408, 2025.

Closed form perturbative relativistic modifications to wave-packet dynamics in the quantum harmonic oscillator Bayesian prompt flow learning for zero-shot anomaly detec- tion.2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pages 30398–30408, 2025

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Observation 1bf216b9-d67c-4970-9084-d185bf0ebe93 · outbound

This paper cites Learning transferable visual models from natural language supervision.

Closed form perturbative relativistic modifications to wave-packet dynamics in the quantum harmonic oscillator Learning transferable visual models from natural language supervision

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Observation 4b89054b-ac5c-4266-9dfd-cae991019a00 · outbound

This paper cites Towards to- tal recall in industrial anomaly detection.2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pages 14298–14308, 2021.

Closed form perturbative relativistic modifications to wave-packet dynamics in the quantum harmonic oscillator Towards to- tal recall in industrial anomaly detection.2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pages 14298–14308, 2021

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Observation d96ff02c-f19c-417b-b124-41f295ff509f · outbound

This paper cites an unresolved cited work.

Closed form perturbative relativistic modifications to wave-packet dynamics in the quantum harmonic oscillator Unresolved cited work

Reference 43

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Observation cf4caa79-5a0a-44ca-b7c5-413a7704b319 · outbound

This paper cites Fully convolutional cross-scale-flows for image- based defect detection.2022 IEEE/CVF Winter Conference on Applications of Computer Vision (W ACV), pages 1829– 1838, 2021.

Closed form perturbative relativistic modifications to wave-packet dynamics in the quantum harmonic oscillator Fully convolutional cross-scale-flows for image- based defect detection.2022 IEEE/CVF Winter Conference on Applications of Computer Vision (W ACV), pages 1829– 1838, 2021

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Observation ca476855-900f-443b-bdaa-f23c1cec4ebb · outbound

This paper cites an unresolved cited work.

Closed form perturbative relativistic modifications to wave-packet dynamics in the quantum harmonic oscillator Unresolved cited work

Reference 45

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Observation 2b0c01a0-8897-47f9-bebd-b6bcb5a5742a · outbound

This paper cites Learning and evaluating representations for deep one-class classification.

Closed form perturbative relativistic modifications to wave-packet dynamics in the quantum harmonic oscillator Learning and evaluating representations for deep one-class classification

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Observation 4aa7e8d0-d0b9-4596-8964-bd7d69b39f92 · outbound

This paper cites Segmentation-based deep-learning approach for surface-defect detection.J.

Closed form perturbative relativistic modifications to wave-packet dynamics in the quantum harmonic oscillator Segmentation-based deep-learning approach for surface-defect detection.J

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Observation d74bce04-346b-40b6-816a-1efcf6f09f32 · outbound

This paper cites Multimodal industrial anomaly detection via hybrid fusion.

Closed form perturbative relativistic modifications to wave-packet dynamics in the quantum harmonic oscillator Multimodal industrial anomaly detection via hybrid fusion

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Observation 0e17433c-d4f4-424d-af72-064ef51ab115 · outbound

This paper cites Weakly supervised learn- ing for industrial optical inspection.

Closed form perturbative relativistic modifications to wave-packet dynamics in the quantum harmonic oscillator Weakly supervised learn- ing for industrial optical inspection

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Observation 4314b418-717e-4522-817b-929a84b58a39 · outbound

This paper cites Pushing the limits of fewshot anomaly detection in industry vision: Graphcore.

Closed form perturbative relativistic modifications to wave-packet dynamics in the quantum harmonic oscillator Pushing the limits of fewshot anomaly detection in industry vision: Graphcore

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Observation a6f653d3-623e-44ed-b998-4d90fa5bfc2b · outbound

This paper cites Learning semantic context from nor- mal samples for unsupervised anomaly detection.

Closed form perturbative relativistic modifications to wave-packet dynamics in the quantum harmonic oscillator Learning semantic context from nor- mal samples for unsupervised anomaly detection

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Observation a5d488c7-00bf-46db-8420-84faf6b69931 · outbound

This paper cites Prior normality prompt transformer for multiclass industrial image anomaly de- tection.IEEE Transactions on Industrial Informatics, 20: 11866–11876, 2024.

Closed form perturbative relativistic modifications to wave-packet dynamics in the quantum harmonic oscillator Prior normality prompt transformer for multiclass industrial image anomaly de- tection.IEEE Transactions on Industrial Informatics, 20: 11866–11876, 2024

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Observation c416cf61-ab07-4792-a46d-8231ee3138af · outbound

This paper cites Focus the discrepancy: Intra- and inter- correlation learning for image anomaly detection.2023 IEEE/CVF International Conference on Computer Vision (ICCV), pages 6780–6790, 2023.

Closed form perturbative relativistic modifications to wave-packet dynamics in the quantum harmonic oscillator Focus the discrepancy: Intra- and inter- correlation learning for image anomaly detection.2023 IEEE/CVF International Conference on Computer Vision (ICCV), pages 6780–6790, 2023

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Observation 917b9f2b-3998-4cd0-8987-374912a3d614 · outbound

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

Closed form perturbative relativistic modifications to wave-packet dynamics in the quantum harmonic oscillator Patch SVDD: patch-level SVDD for anomaly detection and segmentation

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Observation 2e2108ff-1e37-4376-8c91-472542618515 · outbound

This paper cites Zaheer, Jin ha Lee, M.

Closed form perturbative relativistic modifications to wave-packet dynamics in the quantum harmonic oscillator Zaheer, Jin ha Lee, M

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Observation 021b12bb-ed80-4bcf-be0b-40ee61032c32 · outbound

This paper cites an unresolved cited work.

Closed form perturbative relativistic modifications to wave-packet dynamics in the quantum harmonic oscillator Unresolved cited work

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Observation a04ed3ae-6d07-44e1-9942-b69e7df2dcd0 · outbound

This paper cites Ni, and Heung-Yeung Shum.

Closed form perturbative relativistic modifications to wave-packet dynamics in the quantum harmonic oscillator Ni, and Heung-Yeung Shum

Reference 57

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Observation 4250212a-06ec-45ac-b428-62680cbbd963 · outbound

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

Closed form perturbative relativistic modifications to wave-packet dynamics in the quantum harmonic oscillator Anomalyclip: Object-agnostic prompt learning for zero-shot anomaly detection

Reference 58

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Observation c70755cd-7490-4997-ab88-3e7bceb0e9c6 · outbound

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Closed form perturbative relativistic modifications to wave-packet dynamics in the quantum harmonic oscillator Unresolved cited work

Reference 59

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Observation fbe6ef0a-4aa4-401d-8f54-45e6b6127bee · outbound

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

Closed form perturbative relativistic modifications to wave-packet dynamics in the quantum harmonic oscillator Spot-the-difference self-supervised pre- training for anomaly detection and segmentation

Reference 60

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