Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-16T05:29:19.063829Z
Paper Citation Record · LEDGER
As of 23 August 2026, this Paper Citation Record lists 26 of 26 outbound references and 0 inbound Pith citation observations for arXiv:2504.20510.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-16T05:29:19.063829Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
26 of 26 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 6713fe49-655c-4196-af5f-d95a5bc26f17 · outbound
SteelBlastQC: Shot-blasted Steel Surface Dataset with Interpretable Detection of Surface Defects Laser modification of metal surfaces,
Reference 1
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 40705a86-4779-4c8d-932f-c60cbfe2d92e · outbound
SteelBlastQC: Shot-blasted Steel Surface Dataset with Interpretable Detection of Surface Defects Abrasive blasting systems,
Reference 2
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 928658f4-eec3-427c-991f-0475cd966bd9 · outbound
SteelBlastQC: Shot-blasted Steel Surface Dataset with Interpretable Detection of Surface Defects Optimal model-based control for automated robotized abrasive blasting system,
Reference 3
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 392a188d-7921-4614-b78e-0a3e2e248db6 · outbound
SteelBlastQC: Shot-blasted Steel Surface Dataset with Interpretable Detection of Surface Defects Shot blasting goes high tech: Case studies document how new systems reduced manufacturing costs for end users,
Reference 4
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 53f0bf9b-fa21-442f-b447-4260f9c1ae6a · outbound
SteelBlastQC: Shot-blasted Steel Surface Dataset with Interpretable Detection of Surface Defects Deep learning for automatic vision-based recognition of industrial surface defects: a survey,
Reference 5
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 34eaa2f8-968e-48c0-bfd0-fda7b1bc2c63 · outbound
SteelBlastQC: Shot-blasted Steel Surface Dataset with Interpretable Detection of Surface Defects Interpretable deep learning: Interpretation, interpretability, trustworthi- ness, and beyond,
Reference 6
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation ad544c80-7c52-4feb-84ec-24e6e479075f · outbound
SteelBlastQC: Shot-blasted Steel Surface Dataset with Interpretable Detection of Surface Defects Escaping the Big Data Paradigm with Compact Transformers
Reference 7
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 83e53aad-d6ae-40cc-9e5d-014a3b179258 · outbound
SteelBlastQC: Shot-blasted Steel Surface Dataset with Interpretable Detection of Surface Defects Vapnik, The Nature of Statistical Learning Theory
Reference 8
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 8fed9584-de22-4751-830d-6115c8fc0645 · outbound
SteelBlastQC: Shot-blasted Steel Surface Dataset with Interpretable Detection of Surface Defects Deep Residual Learning for Image Recognition
Reference 9
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7abb8d18-7f4f-4613-81de-1ec60505f8f8 · outbound
SteelBlastQC: Shot-blasted Steel Surface Dataset with Interpretable Detection of Surface Defects A better autoencoder for image: Convolutional autoencoder,
Reference 10
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 82e61d26-164e-4dc6-a50e-f34f192707b2 · outbound
SteelBlastQC: Shot-blasted Steel Surface Dataset with Interpretable Detection of Surface Defects A survey of vision-based methods for surface defects’ detection and classification in steel products,
Reference 11
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 534b9bb8-dc5d-4f31-bb3a-c2ac19b18d92 · outbound
SteelBlastQC: Shot-blasted Steel Surface Dataset with Interpretable Detection of Surface Defects Neu metal surface defects database,
Reference 12
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 4a8cf6b9-7c03-4a3c-a23d-ed5819d9f75b · outbound
SteelBlastQC: Shot-blasted Steel Surface Dataset with Interpretable Detection of Surface Defects Faster Metallic Surface Defect Detection Using Deep Learning with Channel Shuffling
Reference 13
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 324fdb78-c37a-483b-8313-e3771379e883 · outbound
SteelBlastQC: Shot-blasted Steel Surface Dataset with Interpretable Detection of Surface Defects Texture-AD: An Anomaly Detection Dataset and Benchmark for Real Algorithm Development
Reference 14
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0e796ba8-64b1-4111-b555-5080f0806114 · outbound
SteelBlastQC: Shot-blasted Steel Surface Dataset with Interpretable Detection of Surface Defects Classification of surface defects on steel strip images using a modified alexnet model combined with support vector machine,
Reference 15
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation d69f6801-0d80-490a-95ca-4acd5d91d62d · outbound
SteelBlastQC: Shot-blasted Steel Surface Dataset with Interpretable Detection of Surface Defects Preparation of steel substrates before application of paints and related products — visual assessment of surface cleanliness,
Reference 16
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation b7627b1e-113c-4e09-a6eb-ee4967c45355 · outbound
SteelBlastQC: Shot-blasted Steel Surface Dataset with Interpretable Detection of Surface Defects Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization
Reference 17
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 623ba1d5-c7b9-4ba7-a4c4-91b84d0665a5 · outbound
SteelBlastQC: Shot-blasted Steel Surface Dataset with Interpretable Detection of Surface Defects Attention Is All You Need
Reference 18
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2f05564e-be4f-4b8e-9ff0-da88e72d2286 · outbound
SteelBlastQC: Shot-blasted Steel Surface Dataset with Interpretable Detection of Surface Defects Grad-cam: Visual explanations from deep networks via gradient-based localization,
Reference 19
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3a1cd475-3fb4-4f2b-8263-35a3ec0d862a · outbound
SteelBlastQC: Shot-blasted Steel Surface Dataset with Interpretable Detection of Surface Defects Autoencoder-based anomaly detection for surface defect inspection,
Reference 20
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 5cafb7df-205e-4243-b480-a22c5df4279f · outbound
SteelBlastQC: Shot-blasted Steel Surface Dataset with Interpretable Detection of Surface Defects Vision transformer - pytorch,
Reference 21
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation b969ab70-4ae1-4d4a-88d2-92463f998153 · outbound
SteelBlastQC: Shot-blasted Steel Surface Dataset with Interpretable Detection of Surface Defects Swin transformer: Hierarchical vision transformer using shifted windows,
Reference 22
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5ec923bc-7059-4d93-9c8e-dedd6570a9b0 · outbound
SteelBlastQC: Shot-blasted Steel Surface Dataset with Interpretable Detection of Surface Defects Attentional feature pyramid network for small object detection,
Reference 23
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ea4e899f-89fc-4170-a787-edfa3ee47305 · outbound
SteelBlastQC: Shot-blasted Steel Surface Dataset with Interpretable Detection of Surface Defects A simple framework for contrastive learning of visual representations,
Reference 24
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5dc2f55a-bc98-4eb9-b813-8e822f93b1d9 · outbound
SteelBlastQC: Shot-blasted Steel Surface Dataset with Interpretable Detection of Surface Defects Momentum contrast for unsupervised visual representation learning,
Reference 25
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 6b11b079-81eb-487a-b286-0613b5c6991c · outbound
SteelBlastQC: Shot-blasted Steel Surface Dataset with Interpretable Detection of Surface Defects Available: https://api.semanticscholar.org/CorpusID: 209442203
Reference 2018
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
No inbound Pith citation observations are available.