Pith. sign in

Paper Citation Record · LEDGER

SteelBlastQC: Shot-blasted Steel Surface Dataset with Interpretable Detection of Surface Defects

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.

pith.paper-citation-record.v1
2504.20510 v1

Coverage vector

measured 26 of 26 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T05:29:19.063829Z

measured 26 of 26 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+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

26 of 26 outbound references displayed

  • verified exact3
  • verified fuzzy14
  • unresolved9
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 6713fe49-655c-4196-af5f-d95a5bc26f17 · outbound

This paper cites Laser modification of metal surfaces,.

SteelBlastQC: Shot-blasted Steel Surface Dataset with Interpretable Detection of Surface Defects Laser modification of metal surfaces,

Reference 1

Resolution
verified exact
raw_fallback, observed 2026-08-16T05:29:19.437702Z

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.

source=pdf_text observed=2026-08-16T05:29:18.938767Z digest=sha256:f1b8c91cc15af721553dfd7dde607ebd9444cb36a5c97bd542a1014894d853f8

Observation 40705a86-4779-4c8d-932f-c60cbfe2d92e · outbound

This paper cites Abrasive blasting systems,.

SteelBlastQC: Shot-blasted Steel Surface Dataset with Interpretable Detection of Surface Defects Abrasive blasting systems,

Reference 2

Resolution
verified exact
raw_fallback, observed 2026-08-16T05:29:19.358885Z

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.

source=pdf_text observed=2026-08-16T05:29:18.944590Z digest=sha256:68e53f4870f7860c6b01b9f22b1c2ce89d6854b301a90b4e429f21cd62d6f0d8

Observation 928658f4-eec3-427c-991f-0475cd966bd9 · outbound

This paper cites Optimal model-based control for automated robotized abrasive blasting system,.

SteelBlastQC: Shot-blasted Steel Surface Dataset with Interpretable Detection of Surface Defects Optimal model-based control for automated robotized abrasive blasting system,

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:29:19.706631Z

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.

source=pdf_text observed=2026-08-16T05:29:18.949431Z digest=sha256:1f82d2cd27b92e873b2bb85f2a4406467976a4776444fdb8eae3b6a6012626c0

Observation 392a188d-7921-4614-b78e-0a3e2e248db6 · outbound

This paper cites Shot blasting goes high tech: Case studies document how new systems reduced manufacturing costs for end users,.

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:29:19.691041Z

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.

source=pdf_text observed=2026-08-16T05:29:18.954665Z digest=sha256:2a64504c048c684d6d6be9c96bd55e2e9077c29cdea23aedf0757482695c6140

Observation 53f0bf9b-fa21-442f-b447-4260f9c1ae6a · outbound

This paper cites Deep learning for automatic vision-based recognition of industrial surface defects: a survey,.

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:29:19.675395Z

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.

source=pdf_text observed=2026-08-16T05:29:18.960071Z digest=sha256:998a0755f3fe7fe109d22464538bb1dbc3395a56ca5f7c73833ede44bb61a127

Observation 34eaa2f8-968e-48c0-bfd0-fda7b1bc2c63 · outbound

This paper cites Interpretable deep learning: Interpretation, interpretability, trustworthi- ness, and beyond,.

SteelBlastQC: Shot-blasted Steel Surface Dataset with Interpretable Detection of Surface Defects Interpretable deep learning: Interpretation, interpretability, trustworthi- ness, and beyond,

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:29:19.660152Z

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.

source=pdf_text observed=2026-08-16T05:29:18.964949Z digest=sha256:5bea78e355381816536fcf59be2c9ee572c585f021841c6ce05d24992f883bc8

Observation ad544c80-7c52-4feb-84ec-24e6e479075f · outbound

This paper cites Escaping the Big Data Paradigm with Compact Transformers.

SteelBlastQC: Shot-blasted Steel Surface Dataset with Interpretable Detection of Surface Defects Escaping the Big Data Paradigm with Compact Transformers

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-16T05:29:18.970339Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:29:18.970339Z digest=sha256:0a49047d2b2a8570efbe76a3ccb5edaadd4f0804da7efb7495b64ede1066fa4f

Observation 83e53aad-d6ae-40cc-9e5d-014a3b179258 · outbound

This paper cites Vapnik, The Nature of Statistical Learning Theory.

SteelBlastQC: Shot-blasted Steel Surface Dataset with Interpretable Detection of Surface Defects Vapnik, The Nature of Statistical Learning Theory

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:29:19.644208Z

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.

source=pdf_text observed=2026-08-16T05:29:18.975674Z digest=sha256:cfef34a581e866ea83711024534aa829db19552ecdf12ac9b7533924d5387319

Observation 8fed9584-de22-4751-830d-6115c8fc0645 · outbound

This paper cites Deep Residual Learning for Image Recognition.

SteelBlastQC: Shot-blasted Steel Surface Dataset with Interpretable Detection of Surface Defects Deep Residual Learning for Image Recognition

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-16T05:29:18.980554Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:29:18.980554Z digest=sha256:0ea36bdeb466320b883446380556b86cd57ba2baf27582402727e4e586ae8a3a

Observation 7abb8d18-7f4f-4613-81de-1ec60505f8f8 · outbound

This paper cites A better autoencoder for image: Convolutional autoencoder,.

SteelBlastQC: Shot-blasted Steel Surface Dataset with Interpretable Detection of Surface Defects A better autoencoder for image: Convolutional autoencoder,

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:29:19.628218Z

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.

source=pdf_text observed=2026-08-16T05:29:18.986071Z digest=sha256:35857f8934bd5b526553b1dc7e9c003e6fc001b2bcec5f104367ee9edeffe0cb

Observation 82e61d26-164e-4dc6-a50e-f34f192707b2 · outbound

This paper cites A survey of vision-based methods for surface defects’ detection and classification in steel products,.

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:29:19.596182Z

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.

source=pdf_text observed=2026-08-16T05:29:18.995548Z digest=sha256:182993b426c0c13eba8ef5be31f369455b44460f21554510712ddf8edf29d9b1

Observation 534b9bb8-dc5d-4f31-bb3a-c2ac19b18d92 · outbound

This paper cites Neu metal surface defects database,.

SteelBlastQC: Shot-blasted Steel Surface Dataset with Interpretable Detection of Surface Defects Neu metal surface defects database,

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:29:19.579581Z

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.

source=pdf_text observed=2026-08-16T05:29:19.000488Z digest=sha256:c15bc35ea94b0df7d6ac909f0c31d4f18f5126af2a08de39ce4f5cd70e252265

Observation 4a8cf6b9-7c03-4a3c-a23d-ed5819d9f75b · outbound

This paper cites Faster Metallic Surface Defect Detection Using Deep Learning with Channel Shuffling.

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

Resolution
verified exact
local_arxiv, observed 2026-08-16T05:29:19.157957Z

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.

source=pdf_text observed=2026-08-16T05:29:19.005028Z digest=sha256:d1b81c37ab52b2234e3b324d1adb22912150b1d656273fb7a38b6d862210ed58

Observation 324fdb78-c37a-483b-8313-e3771379e883 · outbound

This paper cites Texture-AD: An Anomaly Detection Dataset and Benchmark for Real Algorithm Development.

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

Resolution
unresolved
no resolver link, observed 2026-08-16T05:29:19.010508Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:29:19.010508Z digest=sha256:f055e6cba85d1baebecb9b52f53bc5cc08ddeb38e1917e3b80d92079e8bdf192

Observation 0e796ba8-64b1-4111-b555-5080f0806114 · outbound

This paper cites Classification of surface defects on steel strip images using a modified alexnet model combined with support vector machine,.

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:29:19.563241Z

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.

source=pdf_text observed=2026-08-16T05:29:19.015679Z digest=sha256:258bbaa6f7f888e7abcdc3ed62da13cca7d8013edc84c66020db2c6c12e96a1f

Observation d69f6801-0d80-490a-95ca-4acd5d91d62d · outbound

This paper cites Preparation of steel substrates before application of paints and related products — visual assessment of surface cleanliness,.

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:29:19.547494Z

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.

source=pdf_text observed=2026-08-16T05:29:19.020484Z digest=sha256:e4e25da9c991fbf5e469e7004dae911f6ed876ee31ae6decddd99b23279196d7

Observation b7627b1e-113c-4e09-a6eb-ee4967c45355 · outbound

This paper cites Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization.

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

Resolution
unresolved
no resolver link, observed 2026-08-16T05:29:19.025173Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:29:19.025173Z digest=sha256:f9b17ab41fb2193d41c76b5947055b030f78e273b08a5c0af394416934c4aaf8

Observation 623ba1d5-c7b9-4ba7-a4c4-91b84d0665a5 · outbound

This paper cites Attention Is All You Need.

SteelBlastQC: Shot-blasted Steel Surface Dataset with Interpretable Detection of Surface Defects Attention Is All You Need

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-16T05:29:19.030368Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:29:19.030368Z digest=sha256:c147cd6703bb6344b5bc0c6eb87128f44ddb31aadfb78ebb531ec12258b99cd9

Observation 2f05564e-be4f-4b8e-9ff0-da88e72d2286 · outbound

This paper cites Grad-cam: Visual explanations from deep networks via gradient-based localization,.

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

Resolution
unresolved
no resolver link, observed 2026-08-16T05:29:19.035582Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:29:19.035582Z digest=sha256:e902557f90c8303e6845354e7ab53fec0404b3bf52c4d610120d6dfa8125edfb

Observation 3a1cd475-3fb4-4f2b-8263-35a3ec0d862a · outbound

This paper cites Autoencoder-based anomaly detection for surface defect inspection,.

SteelBlastQC: Shot-blasted Steel Surface Dataset with Interpretable Detection of Surface Defects Autoencoder-based anomaly detection for surface defect inspection,

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:29:19.519180Z

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.

source=pdf_text observed=2026-08-16T05:29:19.040530Z digest=sha256:0f080b038ff797cd0ef03fe5713abc5622f3b492f8cdd19499c2928e93ec3980

Observation 5cafb7df-205e-4243-b480-a22c5df4279f · outbound

This paper cites Vision transformer - pytorch,.

SteelBlastQC: Shot-blasted Steel Surface Dataset with Interpretable Detection of Surface Defects Vision transformer - pytorch,

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:29:19.503189Z

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.

source=pdf_text observed=2026-08-16T05:29:19.044947Z digest=sha256:6aad7e52e890538e0f083e359ddba8211f73349752376e2e0c08bc9b6b28fde1

Observation b969ab70-4ae1-4d4a-88d2-92463f998153 · outbound

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

SteelBlastQC: Shot-blasted Steel Surface Dataset with Interpretable Detection of Surface Defects Swin transformer: Hierarchical vision transformer using shifted windows,

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-16T05:29:19.049503Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:29:19.049503Z digest=sha256:a2cbd794ea99136709d099eaa1943d9335aa4d3c1caa4885b03f8a64f75a4255

Observation 5ec923bc-7059-4d93-9c8e-dedd6570a9b0 · outbound

This paper cites Attentional feature pyramid network for small object detection,.

SteelBlastQC: Shot-blasted Steel Surface Dataset with Interpretable Detection of Surface Defects Attentional feature pyramid network for small object detection,

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-16T05:29:19.054635Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:29:19.054635Z digest=sha256:c2e6768985f0de46c8f14cf5ba16664036577b0265aa53dfbf5f8f53c8da8f7f

Observation ea4e899f-89fc-4170-a787-edfa3ee47305 · outbound

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

SteelBlastQC: Shot-blasted Steel Surface Dataset with Interpretable Detection of Surface Defects A simple framework for contrastive learning of visual representations,

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-16T05:29:19.059060Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:29:19.059060Z digest=sha256:cea014f2a18bfb7f2d4f9b9d2a971287e9749262965221aa4eb64dd3f1c5e97e

Observation 5dc2f55a-bc98-4eb9-b813-8e822f93b1d9 · outbound

This paper cites Momentum contrast for unsupervised visual representation learning,.

SteelBlastQC: Shot-blasted Steel Surface Dataset with Interpretable Detection of Surface Defects Momentum contrast for unsupervised visual representation learning,

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:29:19.454197Z

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.

source=pdf_text observed=2026-08-16T05:29:19.063829Z digest=sha256:af8aa25ff1f853e62b172485b60d8388265535c6421ffeef17400177d2588462

Observation 6b11b079-81eb-487a-b286-0613b5c6991c · outbound

This paper cites Available: https://api.semanticscholar.org/CorpusID: 209442203.

SteelBlastQC: Shot-blasted Steel Surface Dataset with Interpretable Detection of Surface Defects Available: https://api.semanticscholar.org/CorpusID: 209442203

Reference 2018

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:29:19.611784Z

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.

source=pdf_text observed=2026-08-16T05:29:18.990900Z digest=sha256:5f07c786defdf518ac8cab8fffa631b32c13e6eed5bc9ba25f2352d22ae572a1

Pith citing papers

No inbound Pith citation observations are available.