Paper Citation Record · LEDGER

ICME 2026 Grand Challenge on Cross-Scenario Defect Detection and Fine-Grained Severity Grading for High-Precision Manufacturing

As of 7 August 2026, this Paper Citation Record lists 22 of 22 outbound references and 0 inbound Pith citation observations for arXiv:2607.04675.

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

pith.paper-citation-record.v1
2607.04675 v1

Coverage vector

measured 22 of 22 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-11T15:22:48.211209Z

measured 22 of 22 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+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

22 of 22 outbound references displayed

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unresolved22
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d493a138-8bb6-4280-975b-532db0848b92 · outbound

This paper cites Masked-attention mask transformer for universal image segmentation,.

ICME 2026 Grand Challenge on Cross-Scenario Defect Detection and Fine-Grained Severity Grading for High-Precision Manufacturing Masked-attention mask transformer for universal image segmentation,

Reference 1

Resolution: unresolved; no resolver link, observed 2026-07-11T15:22:48.211209Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 20475d63-a9d1-4245-9f7f-453db8cea1f2 · outbound

This paper cites Qwen3-VL,.

ICME 2026 Grand Challenge on Cross-Scenario Defect Detection and Fine-Grained Severity Grading for High-Precision Manufacturing Qwen3-VL,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-07-11T15:22:48.211209Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 80f6eeb3-a027-47bb-989c-af761d27bb65 · outbound

This paper cites Dual-Interrelated Diffusion Model for Few-Shot Anomaly Image Generation.

ICME 2026 Grand Challenge on Cross-Scenario Defect Detection and Fine-Grained Severity Grading for High-Precision Manufacturing Dual-Interrelated Diffusion Model for Few-Shot Anomaly Image Generation

Reference 3

Resolution: unresolved; no resolver link, observed 2026-07-11T15:22:48.211209Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5e82ceaa-8307-46db-9199-4b3f7f1c4bba · outbound

This paper cites Dinomaly: The less is more philosophy in multi-class unsuper- vised anomaly detection,.

ICME 2026 Grand Challenge on Cross-Scenario Defect Detection and Fine-Grained Severity Grading for High-Precision Manufacturing Dinomaly: The less is more philosophy in multi-class unsuper- vised anomaly detection,

Reference 4

Resolution: unresolved; no resolver link, observed 2026-07-11T15:22:48.211209Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 25f8b297-afa3-485b-beb4-ff184eed7c3e · outbound

This paper cites DINOv2: Learning robust visual features without supervision,.

ICME 2026 Grand Challenge on Cross-Scenario Defect Detection and Fine-Grained Severity Grading for High-Precision Manufacturing DINOv2: Learning robust visual features without supervision,

Reference 5

Resolution: unresolved; no resolver link, observed 2026-07-11T15:22:48.211209Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ddeb7197-fbec-4d7b-8121-3ac29fbce63e · outbound

This paper cites Ultralytics YOLOv8,.

ICME 2026 Grand Challenge on Cross-Scenario Defect Detection and Fine-Grained Severity Grading for High-Precision Manufacturing Ultralytics YOLOv8,

Reference 6

Resolution: unresolved; no resolver link, observed 2026-07-11T15:22:48.211209Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e3aa437c-2023-4266-9d97-d15498c8f963 · outbound

This paper cites Exploring intrinsic normal prototypes within a single image for universal anomaly detection,.

ICME 2026 Grand Challenge on Cross-Scenario Defect Detection and Fine-Grained Severity Grading for High-Precision Manufacturing Exploring intrinsic normal prototypes within a single image for universal anomaly detection,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-07-11T15:22:48.211209Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 83bddb63-1f7b-42f4-ba56-8ba54d019c96 · outbound

This paper cites DETRs beat YOLOs on real- time object detection,.

ICME 2026 Grand Challenge on Cross-Scenario Defect Detection and Fine-Grained Severity Grading for High-Precision Manufacturing DETRs beat YOLOs on real- time object detection,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-07-11T15:22:48.211209Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b3518351-5c18-4e21-b928-0412f17af29e · outbound

This paper cites Swin transformer: Hierarchical vision transformer using shifted windows,.

ICME 2026 Grand Challenge on Cross-Scenario Defect Detection and Fine-Grained Severity Grading for High-Precision Manufacturing Swin transformer: Hierarchical vision transformer using shifted windows,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-07-11T15:22:48.211209Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 88b80f02-a56b-40ad-be11-d398fe83fb06 · outbound

This paper cites Weighted boxes fusion: Ensembling boxes from different object detection models,.

ICME 2026 Grand Challenge on Cross-Scenario Defect Detection and Fine-Grained Severity Grading for High-Precision Manufacturing Weighted boxes fusion: Ensembling boxes from different object detection models,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-07-11T15:22:48.211209Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 50a7d2f4-f601-4bf2-bd2e-de680db04536 · outbound

This paper cites Two at once: Enhancing learning and generalization capacities via IBN-Net,.

ICME 2026 Grand Challenge on Cross-Scenario Defect Detection and Fine-Grained Severity Grading for High-Precision Manufacturing Two at once: Enhancing learning and generalization capacities via IBN-Net,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-07-11T15:22:48.211209Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e7702a0d-f360-47de-b320-02ba933ab017 · outbound

This paper cites Uncertainty modeling for out-of-distribution generalization,.

ICME 2026 Grand Challenge on Cross-Scenario Defect Detection and Fine-Grained Severity Grading for High-Precision Manufacturing Uncertainty modeling for out-of-distribution generalization,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-07-11T15:22:48.211209Z

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Unavailable: canonical work link unavailable.

Observation fb8bb6e0-e0ac-4b83-bc1c-973f1c4484de · outbound

This paper cites SimAM: A simple, parameter-free attention module for convolutional neural networks,.

ICME 2026 Grand Challenge on Cross-Scenario Defect Detection and Fine-Grained Severity Grading for High-Precision Manufacturing SimAM: A simple, parameter-free attention module for convolutional neural networks,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-07-11T15:22:48.211209Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a6d4887e-e1ea-43ef-b794-799c889f889a · outbound

This paper cites VarifocalNet: An IoU-aware dense object detector,.

ICME 2026 Grand Challenge on Cross-Scenario Defect Detection and Fine-Grained Severity Grading for High-Precision Manufacturing VarifocalNet: An IoU-aware dense object detector,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-07-11T15:22:48.211209Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b6668761-4d61-4dfa-9d2e-630b2f809ac3 · outbound

This paper cites A Normalized Gaussian Wasserstein Distance for Tiny Object Detection.

ICME 2026 Grand Challenge on Cross-Scenario Defect Detection and Fine-Grained Severity Grading for High-Precision Manufacturing A Normalized Gaussian Wasserstein Distance for Tiny Object Detection

Reference 15

Resolution: unresolved; no resolver link, observed 2026-07-11T15:22:48.211209Z

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Unavailable: canonical work link unavailable.

Observation 6e6c5f9a-33fe-4fe7-a84e-618193e69003 · outbound

This paper cites SW AD: Domain gen- eralization by seeking flat minima,.

ICME 2026 Grand Challenge on Cross-Scenario Defect Detection and Fine-Grained Severity Grading for High-Precision Manufacturing SW AD: Domain gen- eralization by seeking flat minima,

Reference 16

Resolution: unresolved; no resolver link, observed 2026-07-11T15:22:48.211209Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 90d4c5c3-ea8d-4869-8548-ff75f0fad35e · outbound

This paper cites Vision transformer adapter for dense predictions,.

ICME 2026 Grand Challenge on Cross-Scenario Defect Detection and Fine-Grained Severity Grading for High-Precision Manufacturing Vision transformer adapter for dense predictions,

Reference 17

Resolution: unresolved; no resolver link, observed 2026-07-11T15:22:48.211209Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f0405083-6606-443d-9803-d51af8f31295 · outbound

This paper cites YOLO-World: Real-time open-vocabulary object detection,.

ICME 2026 Grand Challenge on Cross-Scenario Defect Detection and Fine-Grained Severity Grading for High-Precision Manufacturing YOLO-World: Real-time open-vocabulary object detection,

Reference 18

Resolution: unresolved; no resolver link, observed 2026-07-11T15:22:48.211209Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5bde6ce9-0344-413c-a46b-1f7eb717e9cc · outbound

This paper cites Random forests,.

ICME 2026 Grand Challenge on Cross-Scenario Defect Detection and Fine-Grained Severity Grading for High-Precision Manufacturing Random forests,

Reference 19

Resolution: unresolved; no resolver link, observed 2026-07-11T15:22:48.211209Z

Source-reported events for the cited work

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Observation c6495529-3a61-44bf-9fce-e7f644ef4009 · outbound

This paper cites Deep residual learning for image recognition,.

ICME 2026 Grand Challenge on Cross-Scenario Defect Detection and Fine-Grained Severity Grading for High-Precision Manufacturing Deep residual learning for image recognition,

Reference 20

Resolution: unresolved; no resolver link, observed 2026-07-11T15:22:48.211209Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f214bb97-144b-41f3-90b5-e6b2f7eb0f7b · outbound

This paper cites Rank consistent ordinal regression for neural networks with application to age estima- tion,.

ICME 2026 Grand Challenge on Cross-Scenario Defect Detection and Fine-Grained Severity Grading for High-Precision Manufacturing Rank consistent ordinal regression for neural networks with application to age estima- tion,

Reference 21

Resolution: unresolved; no resolver link, observed 2026-07-11T15:22:48.211209Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8719297b-d7ed-4393-ab4b-5e8989a85d93 · outbound

This paper cites Deep Neural Networks for Rank-Consistent Ordinal Regression Based On Conditional Probabilities.

ICME 2026 Grand Challenge on Cross-Scenario Defect Detection and Fine-Grained Severity Grading for High-Precision Manufacturing Deep Neural Networks for Rank-Consistent Ordinal Regression Based On Conditional Probabilities

Reference 22

Resolution: unresolved; no resolver link, observed 2026-07-11T15:22:48.211209Z

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Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.