Paper Citation Record · LEDGER

Dual Anchors, Do It Better: Hierarchical Group Merging for Zero-Shot Anomaly Detection

As of 21 August 2026, this Paper Citation Record lists 31 of 31 outbound references and 0 inbound Pith citation observations for arXiv:2608.11933.

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

pith.paper-citation-record.v1
2608.11933 v1

Coverage vector

measured 31 of 31 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T00:27:37.497378Z

measured 31 of 31 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 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

31 of 31 outbound references displayed

verified exact0
verified fuzzy19
unresolved12
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 8c0b1dc8-503c-4bba-bf1e-622b47a2ea54 · outbound

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

Dual Anchors, Do It Better: Hierarchical Group Merging for Zero-Shot Anomaly Detection Zero-shot versus many-shot: Unsupervised texture anomaly detection

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:27:38.041759Z

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 0b02dc57-df04-42cf-ba3d-35a32662e553 · outbound

This paper cites The mvtec anomaly detection dataset: a comprehensive real-world dataset for unsupervised anomaly detection.International Journal of Computer Vi- sion, 129(4):1038–1059, 2021.

Dual Anchors, Do It Better: Hierarchical Group Merging for Zero-Shot Anomaly Detection The mvtec anomaly detection dataset: a comprehensive real-world dataset for unsupervised anomaly detection.International Journal of Computer Vi- sion, 129(4):1038–1059, 2021

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:27:38.027985Z

Source-reported events for the cited work

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Observation ea2d6472-1a69-4263-9816-5177dcf0e620 · outbound

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

Dual Anchors, Do It Better: Hierarchical Group Merging for Zero-Shot Anomaly Detection Wm-dova maps for accurate polyp highlighting in colonoscopy: Validation vs

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:27:38.013722Z

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Observation f921d84e-4caa-4a9f-8578-905112a7d262 · outbound

This paper cites Token Merging: Your ViT But Faster.

Dual Anchors, Do It Better: Hierarchical Group Merging for Zero-Shot Anomaly Detection Token Merging: Your ViT But Faster

Reference 4

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Observation 722f168b-a6aa-4b8e-ac9f-597c8cacbcec · outbound

This paper cites Mixed supervision for surface-defect detection: From weakly to fully supervised learning.Computers in Industry, 129: 103459, 2021.

Dual Anchors, Do It Better: Hierarchical Group Merging for Zero-Shot Anomaly Detection Mixed supervision for surface-defect detection: From weakly to fully supervised learning.Computers in Industry, 129: 103459, 2021

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:27:37.999587Z

Source-reported events for the cited work

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Observation da843f59-ef64-4a4f-b482-993362cc010e · outbound

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

Dual Anchors, Do It Better: Hierarchical Group Merging for Zero-Shot Anomaly Detection Adaclip: Adapting clip with hybrid learnable prompts for zero-shot anomaly de- tection

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:27:37.985517Z

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 b33195d7-18d3-4c1a-b6a3-bd3c1b2ac6de · outbound

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.

Dual Anchors, Do It Better: Hierarchical Group Merging for Zero-Shot Anomaly Detection 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 7

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Source-reported events for the cited work

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Observation 24abc39e-5f77-4690-9a59-06831ca1a1bd · outbound

This paper cites Clip-ad: A language-guided staged dual-path model for zero-shot anomaly detection.

Dual Anchors, Do It Better: Hierarchical Group Merging for Zero-Shot Anomaly Detection Clip-ad: A language-guided staged dual-path model for zero-shot anomaly detection

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:27:37.969891Z

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 2573a464-9074-4bfa-a57b-e230644cc3c0 · outbound

This paper cites Bootstrap Fine-Grained Vision-Language Alignment for Unified Zero-Shot Anomaly Localization.

Dual Anchors, Do It Better: Hierarchical Group Merging for Zero-Shot Anomaly Detection Bootstrap Fine-Grained Vision-Language Alignment for Unified Zero-Shot Anomaly Localization

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-16T00:27:37.402951Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d9f74b2d-dfac-4a7c-b898-043d5c977e7d · outbound

This paper cites Hgformer: Hierarchical grouping transformer for domain generalized semantic segmentation.

Dual Anchors, Do It Better: Hierarchical Group Merging for Zero-Shot Anomaly Detection Hgformer: Hierarchical grouping transformer for domain generalized semantic segmentation

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:27:37.953325Z

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 135dad4d-03c0-42fd-b4a7-4a058389465c · outbound

This paper cites Multi- task learning for thyroid nodule segmentation with thyroid region prior.

Dual Anchors, Do It Better: Hierarchical Group Merging for Zero-Shot Anomaly Detection Multi- task learning for thyroid nodule segmentation with thyroid region prior

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:27:37.938686Z

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 d936376d-d0c2-43fd-8f6d-6e47b31029b3 · outbound

This paper cites Skin Lesion Analysis toward Melanoma Detection: A Challenge at the International Symposium on Biomedical Imaging (ISBI) 2016, hosted by the International Skin Imaging Collaboration (ISIC).

Dual Anchors, Do It Better: Hierarchical Group Merging for Zero-Shot Anomaly Detection Skin Lesion Analysis toward Melanoma Detection: A Challenge at the International Symposium on Biomedical Imaging (ISBI) 2016, hosted by the International Skin Imaging Collaboration (ISIC)

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-16T00:27:37.416258Z

Source-reported events for the cited work

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Observation e7c07bc3-6558-4bec-adfd-e00a71b5d957 · outbound

This paper cites The endotect 2020 challenge: evaluation and comparison of clas- sification, segmentation and inference time for endoscopy.

Dual Anchors, Do It Better: Hierarchical Group Merging for Zero-Shot Anomaly Detection The endotect 2020 challenge: evaluation and comparison of clas- sification, segmentation and inference time for endoscopy

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:27:37.923564Z

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 686b9f0c-9c11-4a48-83c5-8bdeecd21fca · outbound

This paper cites Categorical Reparameterization with Gumbel-Softmax.

Dual Anchors, Do It Better: Hierarchical Group Merging for Zero-Shot Anomaly Detection Categorical Reparameterization with Gumbel-Softmax

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-16T00:27:37.424949Z

Source-reported events for the cited work

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Observation 92ecdd55-0f54-4bad-a82a-2f545285ea4f · outbound

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

Dual Anchors, Do It Better: Hierarchical Group Merging for Zero-Shot Anomaly Detection Winclip: Zero- /few-shot anomaly classification and segmentation

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:27:37.909208Z

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 066687d5-4619-4fe4-b9e6-a85f32d553c4 · outbound

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

Dual Anchors, Do It Better: Hierarchical Group Merging for Zero-Shot Anomaly Detection Deep learning-based defect detection of metal parts: evaluating current methods in complex condi- tions

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:27:37.895468Z

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 1a17aecb-0730-4392-9287-7f3535adee79 · outbound

This paper cites Kvasir-seg: A segmented polyp dataset.

Dual Anchors, Do It Better: Hierarchical Group Merging for Zero-Shot Anomaly Detection Kvasir-seg: A segmented polyp dataset

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-16T00:27:37.438153Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7962db4f-d348-478c-9cc6-2e8a07365141 · outbound

This paper cites Aa-clip: Enhancing zero-shot anomaly detection via anomaly-aware clip.

Dual Anchors, Do It Better: Hierarchical Group Merging for Zero-Shot Anomaly Detection Aa-clip: Enhancing zero-shot anomaly detection via anomaly-aware clip

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-16T00:27:37.443312Z

Source-reported events for the cited work

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Observation 51f1fae8-9717-4997-852f-7d9cb74faa30 · outbound

This paper cites The Concrete Distribution: A Continuous Relaxation of Discrete Random Variables.

Dual Anchors, Do It Better: Hierarchical Group Merging for Zero-Shot Anomaly Detection The Concrete Distribution: A Continuous Relaxation of Discrete Random Variables

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-16T00:27:37.447447Z

Source-reported events for the cited work

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Observation 14910a70-1208-4b90-8261-2f5ddc95f799 · outbound

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

Dual Anchors, Do It Better: Hierarchical Group Merging for Zero-Shot Anomaly Detection Vt-adl: A vision trans- former network for image anomaly detection and localiza- tion

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:27:37.862991Z

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 cbf38615-9bb3-49d5-a94e-7bb42fee8e2a · outbound

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

Dual Anchors, Do It Better: Hierarchical Group Merging for Zero-Shot Anomaly Detection Vcp-clip: A visual context prompting model for zero-shot anomaly segmenta- tion

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:27:37.848060Z

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 aa8ade74-10e5-4d3e-81c2-3d98f0f3e0c5 · outbound

This paper cites Bayesian prompt flow learning for zero-shot anomaly detec- tion.

Dual Anchors, Do It Better: Hierarchical Group Merging for Zero-Shot Anomaly Detection Bayesian prompt flow learning for zero-shot anomaly detec- tion

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:27:37.833344Z

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 681d409a-c2eb-4986-90f2-6a387d66a2f2 · outbound

This paper cites Learning transferable visual models from natural language supervi- sion.

Dual Anchors, Do It Better: Hierarchical Group Merging for Zero-Shot Anomaly Detection Learning transferable visual models from natural language supervi- sion

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:27:37.818202Z

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 e10f9fa0-2134-4f70-86b5-d7bf8db6fed0 · outbound

This paper cites TokenLearner: What Can 8 Learned Tokens Do for Images and Videos?.

Dual Anchors, Do It Better: Hierarchical Group Merging for Zero-Shot Anomaly Detection TokenLearner: What Can 8 Learned Tokens Do for Images and Videos?

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-16T00:27:37.467311Z

Source-reported events for the cited work

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Observation 516512d8-35e3-4445-ad9d-9ece5275952e · outbound

This paper cites DINOv3.

Dual Anchors, Do It Better: Hierarchical Group Merging for Zero-Shot Anomaly Detection DINOv3

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-16T00:27:37.471341Z

Source-reported events for the cited work

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Observation a901fc09-e59b-4a0d-983e-3f8fcb205026 · outbound

This paper cites Automated polyp detection in colonoscopy videos using shape and context information.IEEE transactions on medi- cal imaging, 35(2):630–644, 2015.

Dual Anchors, Do It Better: Hierarchical Group Merging for Zero-Shot Anomaly Detection Automated polyp detection in colonoscopy videos using shape and context information.IEEE transactions on medi- cal imaging, 35(2):630–644, 2015

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:27:37.803666Z

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 2e9a9e42-5afc-4c1e-862f-516645784109 · outbound

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

Dual Anchors, Do It Better: Hierarchical Group Merging for Zero-Shot Anomaly Detection Weakly supervised learn- ing for industrial optical inspection

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:27:37.788702Z

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 1e06b415-400d-447c-bb8a-fca5307c5291 · outbound

This paper cites Groupvit: Semantic segmentation emerges from text supervision.

Dual Anchors, Do It Better: Hierarchical Group Merging for Zero-Shot Anomaly Detection Groupvit: Semantic segmentation emerges from text supervision

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-16T00:27:37.483989Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 91b6d1fb-ae95-480b-b843-482617e8d868 · outbound

This paper cites A coarse-to-fine model for rail surface defect detection.IEEE Transactions on In- strumentation and Measurement, 68(3):656–666, 2018.

Dual Anchors, Do It Better: Hierarchical Group Merging for Zero-Shot Anomaly Detection A coarse-to-fine model for rail surface defect detection.IEEE Transactions on In- strumentation and Measurement, 68(3):656–666, 2018

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:27:37.764643Z

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 6beced5f-70a4-4120-955e-5cc2ffc025aa · outbound

This paper cites Anomalyclip: Object-agnostic prompt learn- ing for zero-shot anomaly detection.arXiv preprint arXiv:2310.18961, 2023.

Dual Anchors, Do It Better: Hierarchical Group Merging for Zero-Shot Anomaly Detection Anomalyclip: Object-agnostic prompt learn- ing for zero-shot anomaly detection.arXiv preprint arXiv:2310.18961, 2023

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-16T00:27:37.493128Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 24e612f0-05cf-4b27-949f-6e582b0c0e2d · outbound

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

Dual Anchors, Do It Better: Hierarchical Group Merging for Zero-Shot Anomaly Detection Spot-the-difference self-supervised pre- training for anomaly detection and segmentation

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:27:37.749899Z

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

No inbound Pith citation observations are available.