Paper Citation Record · LEDGER

MANTA: A Large-Scale Multi-View and Visual-Text Anomaly Detection Dataset for Tiny Objects

As of 22 August 2026, this Paper Citation Record lists 61 of 61 outbound references and 2 inbound Pith citation observations for arXiv:2412.04867.

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

pith.paper-citation-record.v1
2412.04867 v1

Coverage vector

measured 61 of 61 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T21:16:26.969895Z

measured 63 of 63 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T21:03:13.215004Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T18:34:48.365451Z

Reference resolution

61 of 61 outbound references displayed

verified exact0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation fe79e306-020e-417f-a710-d9431223f1e4 · outbound

This paper cites Flamingo: a visual language model for few-shot learning.

MANTA: A Large-Scale Multi-View and Visual-Text Anomaly Detection Dataset for Tiny Objects Flamingo: a visual language model for few-shot learning

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:16:27.981838Z

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Observation 19173f32-51b6-4c2b-a196-b9a70958f14d · outbound

This paper cites Vqa: Visual question answering.

MANTA: A Large-Scale Multi-View and Visual-Text Anomaly Detection Dataset for Tiny Objects Vqa: Visual question answering

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:16:27.967330Z

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Observation 70b1bc84-7330-45cb-b134-090332d94c2e · outbound

This paper cites To- wards a theory of declarative knowledge.

MANTA: A Large-Scale Multi-View and Visual-Text Anomaly Detection Dataset for Tiny Objects To- wards a theory of declarative knowledge

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:16:27.951887Z

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Observation 68e0c39c-5900-4562-8e6b-0bc96e932e45 · outbound

This paper cites Pni: Industrial anomaly detection using position and neighborhood infor- mation.

MANTA: A Large-Scale Multi-View and Visual-Text Anomaly Detection Dataset for Tiny Objects Pni: Industrial anomaly detection using position and neighborhood infor- mation

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:16:27.936114Z

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Observation 7f301336-ceda-41d7-85c8-0e52549b0942 · outbound

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

MANTA: A Large-Scale Multi-View and Visual-Text Anomaly Detection Dataset for Tiny Objects Mvtec ad–a comprehensive real-world dataset for unsupervised anomaly detection

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:16:27.920420Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation f77bf603-7155-47ac-8f70-e172321ebbb2 · outbound

This paper cites Beyond dents and scratches: Logical constraints in unsupervised anomaly detection and localization.

MANTA: A Large-Scale Multi-View and Visual-Text Anomaly Detection Dataset for Tiny Objects Beyond dents and scratches: Logical constraints in unsupervised anomaly detection and localization

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:16:27.905446Z

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Observation 551a70d7-f3a7-4786-8fcb-d50199d5602e · outbound

This paper cites The mvtec 3d-ad dataset for unsupervised 3d anomaly detection and localization.

MANTA: A Large-Scale Multi-View and Visual-Text Anomaly Detection Dataset for Tiny Objects The mvtec 3d-ad dataset for unsupervised 3d anomaly detection and localization

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:16:27.889278Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 086d84d7-263b-4770-85aa-86ec3e49df87 · outbound

This paper cites Collaborative discrepancy optimization for reliable image anomaly localization.

MANTA: A Large-Scale Multi-View and Visual-Text Anomaly Detection Dataset for Tiny Objects Collaborative discrepancy optimization for reliable image anomaly localization

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:16:27.874021Z

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Observation 921227cf-e6b6-48f0-b8a5-942439548cf3 · outbound

This paper cites Defect detection in sem images of nanofi- brous materials.

MANTA: A Large-Scale Multi-View and Visual-Text Anomaly Detection Dataset for Tiny Objects Defect detection in sem images of nanofi- brous materials

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:16:27.857768Z

Source-reported events for the cited work

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Observation 7177a22c-2f43-4e31-bd09-260bceb9ac26 · outbound

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

MANTA: A Large-Scale Multi-View and Visual-Text Anomaly Detection Dataset for Tiny Objects Padim: a patch distribution modeling framework for anomaly detection and localization

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:16:27.841896Z

Source-reported events for the cited work

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Observation ff0d1d29-025d-4708-b1c4-1319ee74ab5f · outbound

This paper cites Anomaly detection via re- verse distillation from one-class embedding.

MANTA: A Large-Scale Multi-View and Visual-Text Anomaly Detection Dataset for Tiny Objects Anomaly detection via re- verse distillation from one-class embedding

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:16:27.825459Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 84ab245c-0079-4489-aa70-0f4e44753061 · outbound

This paper cites Grainspace: A large-scale dataset for fine-grained and domain-adaptive recognition of cereal grains.

MANTA: A Large-Scale Multi-View and Visual-Text Anomaly Detection Dataset for Tiny Objects Grainspace: A large-scale dataset for fine-grained and domain-adaptive recognition of cereal grains

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:16:27.807563Z

Source-reported events for the cited work

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Observation bfdc7375-290d-49e3-bf94-f7ac2d3dd9a4 · outbound

This paper cites Identifying the defective: De- tecting damaged grains for cereal appearance inspection.

MANTA: A Large-Scale Multi-View and Visual-Text Anomaly Detection Dataset for Tiny Objects Identifying the defective: De- tecting damaged grains for cereal appearance inspection

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:16:27.792075Z

Source-reported events for the cited work

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Observation 98997d33-ee87-4a07-b375-d1c53df89cd2 · outbound

This paper cites Template-guided hierarchical feature restoration for anomaly detection.

MANTA: A Large-Scale Multi-View and Visual-Text Anomaly Detection Dataset for Tiny Objects Template-guided hierarchical feature restoration for anomaly detection

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:16:27.776049Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 23f539fc-9665-4dc8-899a-ca44248c1573 · outbound

This paper cites Adbench: Anomaly detection benchmark.

MANTA: A Large-Scale Multi-View and Visual-Text Anomaly Detection Dataset for Tiny Objects Adbench: Anomaly detection benchmark

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:16:27.759582Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 91fff102-2803-4463-b16b-4665fb0bcfd5 · outbound

This paper cites A diffusion-based framework for multi-class anomaly detection.

MANTA: A Large-Scale Multi-View and Visual-Text Anomaly Detection Dataset for Tiny Objects A diffusion-based framework for multi-class anomaly detection

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:16:27.743481Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 02ebfba6-ca2b-48e3-add6-8de092ac4f99 · outbound

This paper cites Deep residual learning for image recognition.

MANTA: A Large-Scale Multi-View and Visual-Text Anomaly Detection Dataset for Tiny Objects Deep residual learning for image recognition

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-11T21:16:26.760161Z

Source-reported events for the cited work

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Observation e6a02001-3d1e-436a-b3c6-6bcae254093c · outbound

This paper cites Self-supervised anomaly detection in computer vision and beyond: A survey and outlook.

MANTA: A Large-Scale Multi-View and Visual-Text Anomaly Detection Dataset for Tiny Objects Self-supervised anomaly detection in computer vision and beyond: A survey and outlook

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:16:27.717640Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation f90899af-9935-4190-9ac1-711706ddc641 · outbound

This paper cites Lora: Low-rank adaptation of large language models.

MANTA: A Large-Scale Multi-View and Visual-Text Anomaly Detection Dataset for Tiny Objects Lora: Low-rank adaptation of large language models

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:16:27.702156Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 4af84dbb-a095-4126-8536-5c0953cb4c68 · outbound

This paper cites Adapting visual-language models for generalizable anomaly detection in medical im- ages.

MANTA: A Large-Scale Multi-View and Visual-Text Anomaly Detection Dataset for Tiny Objects Adapting visual-language models for generalizable anomaly detection in medical im- ages

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:16:27.686111Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation d83d07de-8924-43a8-bb97-b920b909e1e7 · outbound

This paper cites Surface defect saliency of magnetic tile.

MANTA: A Large-Scale Multi-View and Visual-Text Anomaly Detection Dataset for Tiny Objects Surface defect saliency of magnetic tile

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:16:27.670544Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation d8ad7fac-5111-40e3-a205-430e61297721 · outbound

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

MANTA: A Large-Scale Multi-View and Visual-Text Anomaly Detection Dataset for Tiny Objects Winclip: Zero-/few-shot anomaly classification and segmentation

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:16:27.654990Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 4251deae-3bc3-4ba8-951e-08fb36c4055a · outbound

This paper cites Deep learning-based defect detection of metal parts: evaluating current methods in complex condi- tions.

MANTA: A Large-Scale Multi-View and Visual-Text Anomaly Detection Dataset for Tiny Objects Deep learning-based defect detection of metal parts: evaluating current methods in complex condi- tions

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:16:27.636959Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 03adcf4f-74e4-4a45-a52d-49ee2a6f9ac5 · outbound

This paper cites Woo, and Jong Hwan Ko.

MANTA: A Large-Scale Multi-View and Visual-Text Anomaly Detection Dataset for Tiny Objects Woo, and Jong Hwan Ko

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:16:27.622047Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 2ca7f81a-0a6d-433c-b4bd-33838c6d4a0b · outbound

This paper cites Cutpaste: Self-supervised learning for anomaly detection and localiza- tion.

MANTA: A Large-Scale Multi-View and Visual-Text Anomaly Detection Dataset for Tiny Objects Cutpaste: Self-supervised learning for anomaly detection and localiza- tion

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:16:27.607396Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 72c38a81-91cb-4243-9c1e-142be1b56a9b · outbound

This paper cites Blip-2: Bootstrapping language-image pre-training with frozen image encoders and large language models.

MANTA: A Large-Scale Multi-View and Visual-Text Anomaly Detection Dataset for Tiny Objects Blip-2: Bootstrapping language-image pre-training with frozen image encoders and large language models

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:16:27.593050Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 071a1b9e-efc6-452e-bebd-72565ec1df38 · outbound

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

MANTA: A Large-Scale Multi-View and Visual-Text Anomaly Detection Dataset for Tiny Objects Promptad: Learn- ing prompts with only normal samples for few-shot anomaly detection

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:16:27.577641Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 9fc6609e-32ba-47eb-a898-4385aa3e7832 · outbound

This paper cites Unsupervised continual anomaly detection with contrastively-learned prompt.

MANTA: A Large-Scale Multi-View and Visual-Text Anomaly Detection Dataset for Tiny Objects Unsupervised continual anomaly detection with contrastively-learned prompt

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:16:27.561810Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation ced2665e-0a72-4d19-9371-8f73b8fe4069 · outbound

This paper cites Real3d-ad: A dataset of point cloud anomaly detection.NeurIPS, 36, 2024.

MANTA: A Large-Scale Multi-View and Visual-Text Anomaly Detection Dataset for Tiny Objects Real3d-ad: A dataset of point cloud anomaly detection.NeurIPS, 36, 2024

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:16:27.546633Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation cefdc2b9-1757-46c3-b8ff-4d4e769cc33c · outbound

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

MANTA: A Large-Scale Multi-View and Visual-Text Anomaly Detection Dataset for Tiny Objects Deep industrial image anomaly detection: A survey

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:16:27.530718Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 03534171-8141-4a01-8a12-123cce90dc07 · outbound

This paper cites Diversity-measurable anomaly detection.

MANTA: A Large-Scale Multi-View and Visual-Text Anomaly Detection Dataset for Tiny Objects Diversity-measurable anomaly detection

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:16:27.515355Z

Source-reported events for the cited work

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Observation 846ed698-662d-4f78-a7b9-861a779b1c2b · outbound

This paper cites A survey and performance evaluation of deep learning methods 9 for small object detection.

MANTA: A Large-Scale Multi-View and Visual-Text Anomaly Detection Dataset for Tiny Objects A survey and performance evaluation of deep learning methods 9 for small object detection

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:16:27.499294Z

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Observation b0add142-ecc8-413f-85bc-6dade72e01d6 · outbound

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

MANTA: A Large-Scale Multi-View and Visual-Text Anomaly Detection Dataset for Tiny Objects Simplenet: A simple network for image anomaly detection and localization

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:16:27.483355Z

Source-reported events for the cited work

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Observation 5eabc2d9-1270-474a-9f0d-84ac3b656144 · outbound

This paper cites Gdxray: The database of x-ray images for nondestructive testing.

MANTA: A Large-Scale Multi-View and Visual-Text Anomaly Detection Dataset for Tiny Objects Gdxray: The database of x-ray images for nondestructive testing

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:16:27.467935Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation d065d924-425d-4421-838d-432d55bf2f49 · outbound

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

MANTA: A Large-Scale Multi-View and Visual-Text Anomaly Detection Dataset for Tiny Objects Vt-adl: A vision trans- former network for image anomaly detection and localiza- tion

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:16:27.452500Z

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Observation 494b9ed6-df35-48d3-8e5a-ddcfad715d88 · outbound

This paper cites Social constructivist perspectives on teaching and learning.

MANTA: A Large-Scale Multi-View and Visual-Text Anomaly Detection Dataset for Tiny Objects Social constructivist perspectives on teaching and learning

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:16:27.435772Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 0f2d4d2e-2f18-4e41-804d-489bdf998103 · outbound

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

MANTA: A Large-Scale Multi-View and Visual-Text Anomaly Detection Dataset for Tiny Objects Deep learning for anomaly detection: A review

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:16:27.420449Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 011167bb-e2c7-4eb9-8ee1-737572ca01f4 · outbound

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

MANTA: A Large-Scale Multi-View and Visual-Text Anomaly Detection Dataset for Tiny Objects Vcp-clip: A visual context prompting model for zero-shot anomaly segmenta- tion

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:16:27.404366Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation bd2ff331-3ac4-4904-ab35-b4e4a772aee2 · outbound

This paper cites Learn- ing transferable visual models from natural language super- vision.

MANTA: A Large-Scale Multi-View and Visual-Text Anomaly Detection Dataset for Tiny Objects Learn- ing transferable visual models from natural language super- vision

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:16:27.387973Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation f7b2285a-46ad-4acb-8437-3ba490b267f2 · outbound

This paper cites Self-supervised predictive con- volutional attentive block for anomaly detection.

MANTA: A Large-Scale Multi-View and Visual-Text Anomaly Detection Dataset for Tiny Objects Self-supervised predictive con- volutional attentive block for anomaly detection

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:16:27.371175Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 54d4a2e8-af9d-4337-be33-da2ade6490a5 · outbound

This paper cites U-net: Convolutional networks for biomedical image segmentation.

MANTA: A Large-Scale Multi-View and Visual-Text Anomaly Detection Dataset for Tiny Objects U-net: Convolutional networks for biomedical image segmentation

Reference 41

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Source-reported events for the cited work

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Observation db0cb70e-c344-400f-816a-9429a561f51d · outbound

This paper cites Towards to- tal recall in industrial anomaly detection.

MANTA: A Large-Scale Multi-View and Visual-Text Anomaly Detection Dataset for Tiny Objects Towards to- tal recall in industrial anomaly detection

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:16:27.343992Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation e00dc7b4-2cef-4d0f-9dfa-15fda235f175 · outbound

This paper cites Towards to- tal recall in industrial anomaly detection.

MANTA: A Large-Scale Multi-View and Visual-Text Anomaly Detection Dataset for Tiny Objects Towards to- tal recall in industrial anomaly detection

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:16:27.328963Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 65057736-36ae-42bb-901e-c1c4eef2ae3a · outbound

This paper cites Deep one-class classifi- cation.

MANTA: A Large-Scale Multi-View and Visual-Text Anomaly Detection Dataset for Tiny Objects Deep one-class classifi- cation

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:16:27.312721Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 2bdb6ba1-615e-4b91-924e-6239f8b60731 · outbound

This paper cites Prompt- guided zero-shot anomaly action recognition using pre- trained deep skeleton features.

MANTA: A Large-Scale Multi-View and Visual-Text Anomaly Detection Dataset for Tiny Objects Prompt- guided zero-shot anomaly action recognition using pre- trained deep skeleton features

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:16:27.296526Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 46318638-0a8e-43bd-b7fe-a9224a947081 · outbound

This paper cites Anomaly detection in time series: a comprehensive evalu- ation.

MANTA: A Large-Scale Multi-View and Visual-Text Anomaly Detection Dataset for Tiny Objects Anomaly detection in time series: a comprehensive evalu- ation

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:16:27.278521Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 6e87f989-3a0a-4c80-bb8d-e0dc1ab9956c · outbound

This paper cites Hy- perspectral anomaly detection: A survey.

MANTA: A Large-Scale Multi-View and Visual-Text Anomaly Detection Dataset for Tiny Objects Hy- perspectral anomaly detection: A survey

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:16:27.237165Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 3dd25ae6-d217-4ddf-9529-a721b5a84b8c · outbound

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

MANTA: A Large-Scale Multi-View and Visual-Text Anomaly Detection Dataset for Tiny Objects Segmentation-based deep-learning approach for surface-defect detection

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:16:27.214518Z

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Observation d927f112-d5f9-4133-824c-725d9fe4c824 · outbound

This paper cites Deep learning-based detection from the perspective of small or tiny objects: A survey.

MANTA: A Large-Scale Multi-View and Visual-Text Anomaly Detection Dataset for Tiny Objects Deep learning-based detection from the perspective of small or tiny objects: A survey

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:16:27.198400Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation b55658f0-d1f5-4cdf-a16e-d8821d0c01b1 · outbound

This paper cites Mass- producing failures of multimodal systems with language models.

MANTA: A Large-Scale Multi-View and Visual-Text Anomaly Detection Dataset for Tiny Objects Mass- producing failures of multimodal systems with language models

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:16:27.182490Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 1ce7c6a2-ba65-4602-8919-38b6db987c69 · outbound

This paper cites Eyes wide shut? exploring the visual shortcomings of multimodal llms.

MANTA: A Large-Scale Multi-View and Visual-Text Anomaly Detection Dataset for Tiny Objects Eyes wide shut? exploring the visual shortcomings of multimodal llms

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:16:27.165721Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation d37ec369-1ba5-42e8-9917-a7a7ecbe4423 · outbound

This paper cites Computer Vision Annotation Tool (CV AT), 2024.

MANTA: A Large-Scale Multi-View and Visual-Text Anomaly Detection Dataset for Tiny Objects Computer Vision Annotation Tool (CV AT), 2024

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:16:27.149006Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation d90abf41-9897-4d5a-ba9c-e746e7422865 · outbound

This paper cites Real-iad: A real-world multi-view dataset for benchmarking versatile industrial anomaly detec- tion.

MANTA: A Large-Scale Multi-View and Visual-Text Anomaly Detection Dataset for Tiny Objects Real-iad: A real-world multi-view dataset for benchmarking versatile industrial anomaly detec- tion

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:16:27.133548Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 7a56000f-03f9-4729-b76f-09596610aa89 · outbound

This paper cites Hierarchical gaussian mixture normaliz- ing flows modeling for unified anomaly detection.

MANTA: A Large-Scale Multi-View and Visual-Text Anomaly Detection Dataset for Tiny Objects Hierarchical gaussian mixture normaliz- ing flows modeling for unified anomaly detection

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:16:27.117871Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation f339677f-c2fd-4cd5-82a4-877d9367bee4 · outbound

This paper cites A unified model for multi-class anomaly detection.

MANTA: A Large-Scale Multi-View and Visual-Text Anomaly Detection Dataset for Tiny Objects A unified model for multi-class anomaly detection

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:16:27.101607Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 58ec6a92-9202-46b2-b70a-b13ed8407efd · outbound

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

MANTA: A Large-Scale Multi-View and Visual-Text Anomaly Detection Dataset for Tiny Objects Draem- a discriminatively trained reconstruction embedding for sur- face anomaly detection

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:16:27.086853Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation bdf223b2-006b-48ae-9b9a-a2d80eb2155c · outbound

This paper cites Pku-goodsad: A supermarket goods dataset for unsupervised anomaly detection and segmentation.IEEE Robotics and Au- tomation Letters, 2024.

MANTA: A Large-Scale Multi-View and Visual-Text Anomaly Detection Dataset for Tiny Objects Pku-goodsad: A supermarket goods dataset for unsupervised anomaly detection and segmentation.IEEE Robotics and Au- tomation Letters, 2024

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-11T21:16:26.950172Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b15f5861-ace4-4517-8c32-7c6a0200dafb · outbound

This paper cites OPT: Open Pre-trained Transformer Language Models.

MANTA: A Large-Scale Multi-View and Visual-Text Anomaly Detection Dataset for Tiny Objects OPT: Open Pre-trained Transformer Language Models

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-11T21:16:26.955162Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 95f96881-d181-43dd-956f-1c300bfc56e0 · outbound

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

MANTA: A Large-Scale Multi-View and Visual-Text Anomaly Detection Dataset for Tiny Objects Realnet: A feature selection network with realistic synthetic anomaly for anomaly detection

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:16:27.059628Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 76feaa53-5594-4672-869d-db5c01d7a23d · outbound

This paper cites Toward generalist anomaly detection via in-context residual learning with few-shot sam- ple prompts.

MANTA: A Large-Scale Multi-View and Visual-Text Anomaly Detection Dataset for Tiny Objects Toward generalist anomaly detection via in-context residual learning with few-shot sam- ple prompts

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:16:27.042663Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 28b670a3-715c-4b28-9ad4-21eba9398831 · outbound

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

MANTA: A Large-Scale Multi-View and Visual-Text Anomaly Detection Dataset for Tiny Objects Spot-the-difference self-supervised pre- training for anomaly detection and segmentation

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:16:27.025625Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Pith citing papers

Observation 5c44d978-5790-4865-a33f-85bf8bdb35ba · inbound

Visual Anomaly Detection under Complex View-Illumination Interplay: A Large-Scale Benchmark cites this paper.

Visual Anomaly Detection under Complex View-Illumination Interplay: A Large-Scale Benchmark MANTA: A Large-Scale Multi-View and Visual-Text Anomaly Detection Dataset for Tiny Objects

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-15T21:03:13.215004Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7dcb9137-0588-4a6a-9983-d932ecbdcc89 · inbound

SAGE: A Visual Language Model for Anomaly Detection via Fact Enhancement and Entropy-aware Alignment cites this paper.

SAGE: A Visual Language Model for Anomaly Detection via Fact Enhancement and Entropy-aware Alignment MANTA: A Large-Scale Multi-View and Visual-Text Anomaly Detection Dataset for Tiny Objects

Reference 23

Resolution: verified exact; local_arxiv, observed 2026-08-06T18:34:48.370506Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.