Paper Citation Record · LEDGER

Have I Solved This Before? Retrieving Similar Segmentation Problems for Evolutionary Learning

As of 10 August 2026, this Paper Citation Record lists 35 of 35 outbound references and 0 inbound Pith citation observations for arXiv:2606.08155.

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

pith.paper-citation-record.v1
2606.08155 v1

Coverage vector

measured 35 of 35 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-27T20:24:54.690043Z

measured 35 of 35 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+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

35 of 35 outbound references displayed

verified exact2
verified fuzzy0
unresolved31
parse uncertain0
malformed identifier0
metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 4f9afb81-a85c-4f34-85d8-4fbc29cd4694 · outbound

This paper cites Detection of filament misalignment in carbon fiber production using a stereovision line scan camera system,.

Have I Solved This Before? Retrieving Similar Segmentation Problems for Evolutionary Learning Detection of filament misalignment in carbon fiber production using a stereovision line scan camera system,

Reference 1

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Source-reported events for the cited work

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Observation edeb55b9-5b26-43da-a980-457a7d6607e4 · outbound

This paper cites Detection of surface defects on carbon fiber rovings using line sensors and image processing algorithms,.

Have I Solved This Before? Retrieving Similar Segmentation Problems for Evolutionary Learning Detection of surface defects on carbon fiber rovings using line sensors and image processing algorithms,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-06-27T20:24:54.690043Z

Source-reported events for the cited work

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Observation cae4fee5-daba-4793-b244-b4ea608caf41 · outbound

This paper cites The unreasonable effectiveness of data,.

Have I Solved This Before? Retrieving Similar Segmentation Problems for Evolutionary Learning The unreasonable effectiveness of data,

Reference 3

Resolution: unresolved; no resolver link, observed 2026-06-27T20:24:54.690043Z

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Observation e0cee13c-0311-43df-b850-06240e98c6b5 · outbound

This paper cites Deep Learning Scaling is Predictable, Empirically.

Have I Solved This Before? Retrieving Similar Segmentation Problems for Evolutionary Learning Deep Learning Scaling is Predictable, Empirically

Reference 4

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Source-reported events for the cited work

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Observation 1687844b-b982-4332-b8cf-1d69487750ea · outbound

This paper cites Checkmate: Breaking the Memory Wall with Optimal Tensor Rematerialization.

Have I Solved This Before? Retrieving Similar Segmentation Problems for Evolutionary Learning Checkmate: Breaking the Memory Wall with Optimal Tensor Rematerialization

Reference 6

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Observation 4dc36f02-21a6-4cfc-b561-da6ecec7deaf · outbound

This paper cites Liang, Y.-C.

Have I Solved This Before? Retrieving Similar Segmentation Problems for Evolutionary Learning Liang, Y.-C

Reference 7

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Source-reported events for the cited work

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Observation afc1bf86-5d25-47d0-8141-f841553fa1dd · outbound

This paper cites Battle of the Backbones: A Large-Scale Comparison of Pretrained Models across Computer Vision Tasks.

Have I Solved This Before? Retrieving Similar Segmentation Problems for Evolutionary Learning Battle of the Backbones: A Large-Scale Comparison of Pretrained Models across Computer Vision Tasks

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-07-02T20:27:22.460132Z

Source-reported events for the cited work

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Observation a77dcf5d-aa15-4359-abaa-270c7224094e · outbound

This paper cites Toward an organic computing approach to automated design of processing pipelines,.

Have I Solved This Before? Retrieving Similar Segmentation Problems for Evolutionary Learning Toward an organic computing approach to automated design of processing pipelines,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-06-27T20:24:54.690043Z

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Observation af7d4d2a-f1bc-40ff-b8af-dda9b06148ad · outbound

This paper cites Evolving processing pipelines for industrial imaging with cartesian genetic programming,.

Have I Solved This Before? Retrieving Similar Segmentation Problems for Evolutionary Learning Evolving processing pipelines for industrial imaging with cartesian genetic programming,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-06-27T20:24:54.690043Z

Source-reported events for the cited work

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Observation b699bcf4-d7c0-4c97-8deb-f19eb438694e · outbound

This paper cites Evolutionary Learining for Data Processing Pipelines in Industrial Monitoring,.

Have I Solved This Before? Retrieving Similar Segmentation Problems for Evolutionary Learning Evolutionary Learining for Data Processing Pipelines in Industrial Monitoring,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-06-27T20:24:54.690043Z

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Observation f9c3dd8d-d828-4159-bcfa-9419d91ef959 · outbound

This paper cites Available: https://opus.bibliothek.uni-augsburg.de/ opus4/130569.

Have I Solved This Before? Retrieving Similar Segmentation Problems for Evolutionary Learning Available: https://opus.bibliothek.uni-augsburg.de/ opus4/130569

Reference 12

Resolution: unresolved; no resolver link, observed 2026-06-27T20:24:54.690043Z

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Unavailable: canonical work link unavailable.

Observation 2c64976c-e017-4bc1-b963-8c0495540a94 · outbound

This paper cites M ¨uller-Schloer, H.

Have I Solved This Before? Retrieving Similar Segmentation Problems for Evolutionary Learning M ¨uller-Schloer, H

Reference 13

Resolution: unresolved; no resolver link, observed 2026-06-27T20:24:54.690043Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9c853245-b449-4c81-945e-1d1fa47a56de · outbound

This paper cites The vision of autonomic computing,.

Have I Solved This Before? Retrieving Similar Segmentation Problems for Evolutionary Learning The vision of autonomic computing,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-06-27T20:24:54.690043Z

Source-reported events for the cited work

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Observation b93de27f-5ea8-486c-b97a-a2a699e604d9 · outbound

This paper cites Measuring the algorithmic efficiency of neural networks,.

Have I Solved This Before? Retrieving Similar Segmentation Problems for Evolutionary Learning Measuring the algorithmic efficiency of neural networks,

Reference 15

Resolution: unresolved; no resolver link, observed 2026-06-27T20:24:54.690043Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e7064880-cfbd-4f2e-a49e-afea5faed3e0 · outbound

This paper cites Multi-task deep learning for image segmentation using recursive approximation tasks,.

Have I Solved This Before? Retrieving Similar Segmentation Problems for Evolutionary Learning Multi-task deep learning for image segmentation using recursive approximation tasks,

Reference 16

Resolution: unresolved; no resolver link, observed 2026-06-27T20:24:54.690043Z

Source-reported events for the cited work

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Observation d700f6ca-f7ca-458b-84c9-b586cdf81214 · outbound

This paper cites Learning multiple defaults for machine learning algorithms,.

Have I Solved This Before? Retrieving Similar Segmentation Problems for Evolutionary Learning Learning multiple defaults for machine learning algorithms,

Reference 17

Resolution: unresolved; no resolver link, observed 2026-06-27T20:24:54.690043Z

Source-reported events for the cited work

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Observation 4bb233fe-f34c-4ad7-8896-dc91fb8f2142 · outbound

This paper cites Harding, J.

Have I Solved This Before? Retrieving Similar Segmentation Problems for Evolutionary Learning Harding, J

Reference 18

Resolution: unresolved; no resolver link, observed 2026-06-27T20:24:54.690043Z

Source-reported events for the cited work

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Observation 33dc3625-dc22-4217-b45f-4d3c46624ea8 · outbound

This paper cites Classification of electromyographic signals: Comparing evolvable hard- ware to conventional classifiers,.

Have I Solved This Before? Retrieving Similar Segmentation Problems for Evolutionary Learning Classification of electromyographic signals: Comparing evolvable hard- ware to conventional classifiers,

Reference 19

Resolution: unresolved; no resolver link, observed 2026-06-27T20:24:54.690043Z

Source-reported events for the cited work

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Observation c3ae002e-d690-4b55-a7d7-a7db424d5342 · outbound

This paper cites Equidistant reorder operator for cartesian genetic programming,.

Have I Solved This Before? Retrieving Similar Segmentation Problems for Evolutionary Learning Equidistant reorder operator for cartesian genetic programming,

Reference 20

Resolution: unresolved; no resolver link, observed 2026-06-27T20:24:54.690043Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6b8c9288-4ef5-497d-ab0c-03b4655aea11 · outbound

This paper cites Positional bias does not influence cartesian genetic programming with crossover,.

Have I Solved This Before? Retrieving Similar Segmentation Problems for Evolutionary Learning Positional bias does not influence cartesian genetic programming with crossover,

Reference 21

Resolution: unresolved; no resolver link, observed 2026-06-27T20:24:54.690043Z

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Observation 5acc7cd7-33e8-4129-b3bf-4fdd2800548c · outbound

This paper cites Cartesian genetic programming is robust against redundant attributes in datasets,.

Have I Solved This Before? Retrieving Similar Segmentation Problems for Evolutionary Learning Cartesian genetic programming is robust against redundant attributes in datasets,

Reference 22

Resolution: unresolved; no resolver link, observed 2026-06-27T20:24:54.690043Z

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Observation 1ab70564-cf22-41a3-afd1-b618a20a5b53 · outbound

This paper cites Image similarity using mutual information of regions,.

Have I Solved This Before? Retrieving Similar Segmentation Problems for Evolutionary Learning Image similarity using mutual information of regions,

Reference 23

Resolution: unresolved; no resolver link, observed 2026-06-27T20:24:54.690043Z

Source-reported events for the cited work

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Observation dc3f056d-ef02-4782-bc7e-fe37cf2037d1 · outbound

This paper cites Modelling image complexity by inde- pendent component analysis, with application to content-based image retrieval,.

Have I Solved This Before? Retrieving Similar Segmentation Problems for Evolutionary Learning Modelling image complexity by inde- pendent component analysis, with application to content-based image retrieval,

Reference 24

Resolution: unresolved; no resolver link, observed 2026-06-27T20:24:54.690043Z

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Unavailable: canonical work link unavailable.

Observation 85d1a79c-b684-430c-921b-c1dcb007b8de · outbound

This paper cites How hard can it be? estimating the difficulty of visual search in an image,.

Have I Solved This Before? Retrieving Similar Segmentation Problems for Evolutionary Learning How hard can it be? estimating the difficulty of visual search in an image,

Reference 25

Resolution: unresolved; no resolver link, observed 2026-06-27T20:24:54.690043Z

Source-reported events for the cited work

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Observation 34ad3901-0e07-4c8c-9900-1411d12cfd43 · outbound

This paper cites Image complexity and spatial information,.

Have I Solved This Before? Retrieving Similar Segmentation Problems for Evolutionary Learning Image complexity and spatial information,

Reference 26

Resolution: unresolved; no resolver link, observed 2026-06-27T20:24:54.690043Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fbe826e2-f7c9-49cd-8c09-665917840b46 · outbound

This paper cites PHOG-derived aesthetic measures applied to color photographs of artworks, natural scenes and objects,.

Have I Solved This Before? Retrieving Similar Segmentation Problems for Evolutionary Learning PHOG-derived aesthetic measures applied to color photographs of artworks, natural scenes and objects,

Reference 27

Resolution: unresolved; no resolver link, observed 2026-06-27T20:24:54.690043Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 47a2def3-2da2-423e-88c1-fa2a70bc8c04 · outbound

This paper cites A few useful things to know about machine learning,.

Have I Solved This Before? Retrieving Similar Segmentation Problems for Evolutionary Learning A few useful things to know about machine learning,

Reference 28

Resolution: unresolved; no resolver link, observed 2026-06-27T20:24:54.690043Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1a89cc15-15b5-4c64-b789-57715503e9e7 · outbound

This paper cites Histograms of oriented gradients for human detection,.

Have I Solved This Before? Retrieving Similar Segmentation Problems for Evolutionary Learning Histograms of oriented gradients for human detection,

Reference 29

Resolution: unresolved; no resolver link, observed 2026-06-27T20:24:54.690043Z

Source-reported events for the cited work

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Observation 91f38394-60ba-4500-9a57-fc09b39baf85 · outbound

This paper cites Color image complexity versus over-segmentation: A preliminary study on the correlation between complexity measures and number of segments,.

Have I Solved This Before? Retrieving Similar Segmentation Problems for Evolutionary Learning Color image complexity versus over-segmentation: A preliminary study on the correlation between complexity measures and number of segments,

Reference 30

Resolution: unresolved; no resolver link, observed 2026-06-27T20:24:54.690043Z

Source-reported events for the cited work

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Observation d06c88a8-3e36-41f3-a544-180cb0aa7dd6 · outbound

This paper cites Pitfalls and best practices in algorithm configuration,.

Have I Solved This Before? Retrieving Similar Segmentation Problems for Evolutionary Learning Pitfalls and best practices in algorithm configuration,

Reference 31

Resolution: unresolved; no resolver link, observed 2026-06-27T20:24:54.690043Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fd0c8297-dcb8-4616-912d-7bbd9d054f44 · outbound

This paper cites Automated algorithm selection: Survey and perspectives,.

Have I Solved This Before? Retrieving Similar Segmentation Problems for Evolutionary Learning Automated algorithm selection: Survey and perspectives,

Reference 32

Resolution: unresolved; no resolver link, observed 2026-06-27T20:24:54.690043Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e09f7bba-9a85-4409-8936-6c199a2c4927 · outbound

This paper cites Severstal steel dataset,.

Have I Solved This Before? Retrieving Similar Segmentation Problems for Evolutionary Learning Severstal steel dataset,

Reference 33

Resolution: unresolved; no resolver link, observed 2026-06-27T20:24:54.690043Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e3816151-d86c-4438-b43a-7a74f49459f6 · outbound

This paper cites Surface defect saliency of magnetic tile,.

Have I Solved This Before? Retrieving Similar Segmentation Problems for Evolutionary Learning Surface defect saliency of magnetic tile,

Reference 34

Resolution: unresolved; no resolver link, observed 2026-06-27T20:24:54.690043Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7b35443b-0937-457c-9882-cd21992e359d · outbound

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

Have I Solved This Before? Retrieving Similar Segmentation Problems for Evolutionary Learning Mvtec ad–a comprehensive real-world dataset for unsupervised anomaly detection,

Reference 35

Resolution: unresolved; no resolver link, observed 2026-06-27T20:24:54.690043Z

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Observation d69e8789-7f31-44c1-ab42-3b50856df989 · outbound

This paper cites Alternative data augmentation for industrial monitoring using adversarial learning,.

Have I Solved This Before? Retrieving Similar Segmentation Problems for Evolutionary Learning Alternative data augmentation for industrial monitoring using adversarial learning,

Reference 36

Resolution: unresolved; no resolver link, observed 2026-06-27T20:24:54.690043Z

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Pith citing papers

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