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Paper Citation Record · LEDGER

KKA: Improving Vision Anomaly Detection through Anomaly-related Knowledge from Large Language Models

As of 16 August 2026, this Paper Citation Record lists 37 of 37 outbound references and 4 inbound Pith citation observations for arXiv:2502.14880.

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

pith.paper-citation-record.v1
2502.14880 v1

Coverage vector

measured 37 of 37 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T19:57:35.502668Z

measured 41 of 41 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T23:11:49.079145Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T19:55:01.102139Z

Reference resolution

37 of 37 outbound references displayed

  • verified exact0
  • verified fuzzy19
  • unresolved18
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 8d0d9151-c5b0-4753-b50c-1280afeb9a01 · outbound

This paper cites Improving vision anomaly detection with the guidance of language modality,.

KKA: Improving Vision Anomaly Detection through Anomaly-related Knowledge from Large Language Models Improving vision anomaly detection with the guidance of language modality,

Reference 1

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Observation e3c4d844-36a8-442c-b095-8e76529b7921 · outbound

This paper cites Pull & push: Leveraging differential knowledge distillation for efficient unsupervised anomaly detection and localization,.

KKA: Improving Vision Anomaly Detection through Anomaly-related Knowledge from Large Language Models Pull & push: Leveraging differential knowledge distillation for efficient unsupervised anomaly detection and localization,

Reference 2

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Observation 78ab31e5-8b18-480a-8b64-24b1b80118df · outbound

This paper cites A simple framework for contrastive learning of visual representations,.

KKA: Improving Vision Anomaly Detection through Anomaly-related Knowledge from Large Language Models A simple framework for contrastive learning of visual representations,

Reference 3

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Observation a7092505-fe8e-4e8e-a052-17b9f216d31e · outbound

This paper cites Csi: Novelty detection via contrastive learning on distributionally shifted instances,.

KKA: Improving Vision Anomaly Detection through Anomaly-related Knowledge from Large Language Models Csi: Novelty detection via contrastive learning on distributionally shifted instances,

Reference 4

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Source-reported events for the cited work

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Observation 376dbeb5-eecb-4d58-9734-d7f3d7fd0991 · outbound

This paper cites Cross-modal data augmentation for tasks of different modalities,.

KKA: Improving Vision Anomaly Detection through Anomaly-related Knowledge from Large Language Models Cross-modal data augmentation for tasks of different modalities,

Reference 5

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Observation 7dd6ca70-fa0b-4ab4-8e31-18448d98fe38 · outbound

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

KKA: Improving Vision Anomaly Detection through Anomaly-related Knowledge from Large Language Models Simplenet: A simple network for image anomaly detection and localization,

Reference 6

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Source-reported events for the cited work

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Observation 8b0cce26-02d1-4677-bb0f-80a098155d82 · outbound

This paper cites Training language models to follow instructions with human feedback,.

KKA: Improving Vision Anomaly Detection through Anomaly-related Knowledge from Large Language Models Training language models to follow instructions with human feedback,

Reference 7

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Observation fc172945-cf2c-487b-a676-09740f020229 · outbound

This paper cites Chatglm: A family of large language models from glm-130b to glm-4 all tools,.

KKA: Improving Vision Anomaly Detection through Anomaly-related Knowledge from Large Language Models Chatglm: A family of large language models from glm-130b to glm-4 all tools,

Reference 8

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Observation 8267410d-5c22-4ae1-9595-fd7e2e533091 · outbound

This paper cites A Survey of Large Language Models.

KKA: Improving Vision Anomaly Detection through Anomaly-related Knowledge from Large Language Models A Survey of Large Language Models

Reference 9

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Observation 1b8f1669-069f-4f2f-872e-3e23b2355158 · outbound

This paper cites Semantic anomaly detection with large language models,.

KKA: Improving Vision Anomaly Detection through Anomaly-related Knowledge from Large Language Models Semantic anomaly detection with large language models,

Reference 10

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Observation c93aafa5-3170-4cec-a6b7-5f1312d2f8a1 · outbound

This paper cites Harness- ing large language models for training-free video anomaly detection,.

KKA: Improving Vision Anomaly Detection through Anomaly-related Knowledge from Large Language Models Harness- ing large language models for training-free video anomaly detection,

Reference 11

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Observation 954df7c3-8048-4c30-a458-a1e9b78910ee · outbound

This paper cites Anomaly detection using edge comput- ing in video surveillance system,.

KKA: Improving Vision Anomaly Detection through Anomaly-related Knowledge from Large Language Models Anomaly detection using edge comput- ing in video surveillance system,

Reference 12

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Source-reported events for the cited work

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Observation c9ab8411-5e9b-4570-98b0-3850369711e3 · outbound

This paper cites An edge computing based anomaly detection method in iot industrial sustainability,.

KKA: Improving Vision Anomaly Detection through Anomaly-related Knowledge from Large Language Models An edge computing based anomaly detection method in iot industrial sustainability,

Reference 13

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation a163f5cc-a086-426e-b5c3-6abb33183ca1 · outbound

This paper cites Adaptive Anomaly Detection for IoT Data in Hierarchical Edge Computing.

KKA: Improving Vision Anomaly Detection through Anomaly-related Knowledge from Large Language Models Adaptive Anomaly Detection for IoT Data in Hierarchical Edge Computing

Reference 14

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Observation 5155e2fe-c83e-41b5-9bc5-ed628d582332 · outbound

This paper cites Data shunt: Collaboration of small and large models for lower costs and better performance,.

KKA: Improving Vision Anomaly Detection through Anomaly-related Knowledge from Large Language Models Data shunt: Collaboration of small and large models for lower costs and better performance,

Reference 15

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation af1c4610-39bf-43f3-bba5-d498f36b3e22 · outbound

This paper cites Deep industrial image anomaly detection: A survey,.

KKA: Improving Vision Anomaly Detection through Anomaly-related Knowledge from Large Language Models Deep industrial image anomaly detection: A survey,

Reference 16

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 78759825-cbe2-49a3-a841-31c7287a1b95 · outbound

This paper cites Towards total recall in industrial anomaly detection,.

KKA: Improving Vision Anomaly Detection through Anomaly-related Knowledge from Large Language Models Towards total recall in industrial anomaly detection,

Reference 17

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Observation 4579b4f2-89d5-48c8-ab36-9d88eb09d8ac · outbound

This paper cites Industrial anomaly detection: A comparison of unsupervised neural network architectures,.

KKA: Improving Vision Anomaly Detection through Anomaly-related Knowledge from Large Language Models Industrial anomaly detection: A comparison of unsupervised neural network architectures,

Reference 18

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Source-reported events for the cited work

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Observation a75b0a07-b46e-48a4-9b8b-b6f33711d158 · outbound

This paper cites Financial fraud: a review of anomaly detection techniques and recent advances,.

KKA: Improving Vision Anomaly Detection through Anomaly-related Knowledge from Large Language Models Financial fraud: a review of anomaly detection techniques and recent advances,

Reference 19

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Observation 5a2b5e91-5428-44bf-b4b5-03af88829d61 · outbound

This paper cites Codetect: Financial fraud detection with anomaly feature detection,.

KKA: Improving Vision Anomaly Detection through Anomaly-related Knowledge from Large Language Models Codetect: Financial fraud detection with anomaly feature detection,

Reference 20

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Source-reported events for the cited work

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Observation 300a045b-d46f-4c79-bfe3-c728e9fe2a43 · outbound

This paper cites Normality learning in multispace for video anomaly detection,.

KKA: Improving Vision Anomaly Detection through Anomaly-related Knowledge from Large Language Models Normality learning in multispace for video anomaly detection,

Reference 21

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 6fac7422-87d8-46ca-9022-c4e92803aa67 · outbound

This paper cites Spatial-temporal cascade autoencoder for video anomaly detection in crowded scenes,.

KKA: Improving Vision Anomaly Detection through Anomaly-related Knowledge from Large Language Models Spatial-temporal cascade autoencoder for video anomaly detection in crowded scenes,

Reference 22

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation bc04150b-4c42-434b-a363-41365cb562b4 · outbound

This paper cites Contrastive attention for video anomaly detection,.

KKA: Improving Vision Anomaly Detection through Anomaly-related Knowledge from Large Language Models Contrastive attention for video anomaly detection,

Reference 23

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Observation 1c27f190-f748-405c-a78a-da15aad36d86 · outbound

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

KKA: Improving Vision Anomaly Detection through Anomaly-related Knowledge from Large Language Models Deep learning for anomaly detection: A review,

Reference 24

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Observation 92807edb-d755-463d-889c-b347da95e2f6 · outbound

This paper cites Deep autoencoding gaussian mixture model for unsupervised anomaly detection,.

KKA: Improving Vision Anomaly Detection through Anomaly-related Knowledge from Large Language Models Deep autoencoding gaussian mixture model for unsupervised anomaly detection,

Reference 25

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Observation 3eb84af6-d2ae-4c98-bba0-d84db574fa25 · outbound

This paper cites Ssd: A unified framework for self-supervised outlier detection,.

KKA: Improving Vision Anomaly Detection through Anomaly-related Knowledge from Large Language Models Ssd: A unified framework for self-supervised outlier detection,

Reference 26

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Source-reported events for the cited work

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Observation b11515b2-66e9-4106-85cc-3b84453bb956 · outbound

This paper cites Recontrast: Domain-specific anomaly detection via contrastive reconstruction,.

KKA: Improving Vision Anomaly Detection through Anomaly-related Knowledge from Large Language Models Recontrast: Domain-specific anomaly detection via contrastive reconstruction,

Reference 27

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Source-reported events for the cited work

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Observation 4669bf09-bdff-49ad-a831-3252b047ab39 · outbound

This paper cites Large Language Model Guided Knowledge Distillation for Time Series Anomaly Detection.

KKA: Improving Vision Anomaly Detection through Anomaly-related Knowledge from Large Language Models Large Language Model Guided Knowledge Distillation for Time Series Anomaly Detection

Reference 28

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Source-reported events for the cited work

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Observation a6fb19a8-c12d-45a4-94f7-f30ffb3c6d0d · outbound

This paper cites Improving Large Models with Small models: Lower Costs and Better Performance.

KKA: Improving Vision Anomaly Detection through Anomaly-related Knowledge from Large Language Models Improving Large Models with Small models: Lower Costs and Better Performance

Reference 29

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Unavailable: canonical work link unavailable.

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Observation dd16ba17-6e31-436f-9d4a-1bbeab6eeb4d · outbound

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

KKA: Improving Vision Anomaly Detection through Anomaly-related Knowledge from Large Language Models High- resolution image synthesis with latent diffusion models,

Reference 30

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Observation bba61539-5c2c-45ec-81bd-90804e4f8c33 · outbound

This paper cites Deep semi-supervised anomaly detection,.

KKA: Improving Vision Anomaly Detection through Anomaly-related Knowledge from Large Language Models Deep semi-supervised anomaly detection,

Reference 31

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Source-reported events for the cited work

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Observation bfb681a0-e26e-45bc-ae6d-c6d694309be1 · outbound

This paper cites Direct preference optimization: Your language model is secretly a reward model,.

KKA: Improving Vision Anomaly Detection through Anomaly-related Knowledge from Large Language Models Direct preference optimization: Your language model is secretly a reward model,

Reference 32

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Source-reported events for the cited work

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Observation facd1a6a-a20a-4571-af77-682e1707b144 · outbound

This paper cites Learning multiple layers of features from tiny images,.

KKA: Improving Vision Anomaly Detection through Anomaly-related Knowledge from Large Language Models Learning multiple layers of features from tiny images,

Reference 33

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Source-reported events for the cited work

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Observation 6d04c76b-ac20-4bd3-b192-16ba9dbe5bf8 · outbound

This paper cites Generative adversarial text to image synthesis,.

KKA: Improving Vision Anomaly Detection through Anomaly-related Knowledge from Large Language Models Generative adversarial text to image synthesis,

Reference 34

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Source-reported events for the cited work

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Observation 4c0c03ed-ae54-49df-b886-260737c5b33a · outbound

This paper cites Deep semantic understanding of high resolution remote sensing image,.

KKA: Improving Vision Anomaly Detection through Anomaly-related Knowledge from Large Language Models Deep semantic understanding of high resolution remote sensing image,

Reference 35

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Source-reported events for the cited work

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Observation 72b07fdc-a03e-4d96-ab98-7b4f901d5647 · outbound

This paper cites Ssd: A unified framework for self- supervised outlier detection,.

KKA: Improving Vision Anomaly Detection through Anomaly-related Knowledge from Large Language Models Ssd: A unified framework for self- supervised outlier detection,

Reference 36

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verified fuzzy
raw_fallback, observed 2026-08-07T19:57:35.639789Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation fd646b30-9e56-46aa-b9c9-58a92fbb4b3a · outbound

This paper cites Visualizing data using t-sne.

KKA: Improving Vision Anomaly Detection through Anomaly-related Knowledge from Large Language Models Visualizing data using t-sne

Reference 37

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unresolved
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Unavailable: canonical work link unavailable.

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Pith citing papers

Observation e5bc427a-b460-4117-b88e-e2d750808563 · inbound

FAF: A Feature-Adaptive Framework for Few-Shot Time Series Forecasting cites this paper.

FAF: A Feature-Adaptive Framework for Few-Shot Time Series Forecasting KKA: Improving Vision Anomaly Detection through Anomaly-related Knowledge from Large Language Models

Reference 30

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unresolved
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Observation 99d96d24-5781-44c3-a9cf-f7a246943c45 · inbound

MAFIG: Multi-agent Driven Formal Instruction Generation Framework cites this paper.

MAFIG: Multi-agent Driven Formal Instruction Generation Framework KKA: Improving Vision Anomaly Detection through Anomaly-related Knowledge from Large Language Models

Reference 29

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arxiv_id, observed 2026-05-11T09:36:08.492365Z

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 33b0ba6d-c904-41a1-952a-bebb2a207243 · inbound

What Will Happen Next: Large Models-Driven Deduction for Emergency Instances cites this paper.

What Will Happen Next: Large Models-Driven Deduction for Emergency Instances KKA: Improving Vision Anomaly Detection through Anomaly-related Knowledge from Large Language Models

Reference 16

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arxiv_id, observed 2026-05-12T08:36:26.686378Z

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 67fa96f0-1c2d-4f0a-b157-1132d760d671 · inbound

IFPV: An Integrated Multi-Agent Framework for Generative Operational Planning and High-Fidelity Plan Verification cites this paper.

IFPV: An Integrated Multi-Agent Framework for Generative Operational Planning and High-Fidelity Plan Verification KKA: Improving Vision Anomaly Detection through Anomaly-related Knowledge from Large Language Models

Reference 25

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verified exact
arxiv_id, observed 2026-06-30T19:55:01.103828Z

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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