Paper Citation Record · LEDGER

A Generative Approach for Improving Multi-Label Defect Classification in Photovoltaic Modules

As of 21 August 2026, this Paper Citation Record lists 36 of 36 outbound references and 0 inbound Pith citation observations for arXiv:2608.12725.

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

pith.paper-citation-record.v1
2608.12725 v1

Coverage vector

measured 36 of 36 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T00:45:19.442899Z

measured 36 of 36 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

36 of 36 outbound references displayed

verified exact0
verified fuzzy16
unresolved20
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a3e06bd8-6d5d-46c4-b699-0ba7dde9878e · outbound

This paper cites Hijjawi, S.

A Generative Approach for Improving Multi-Label Defect Classification in Photovoltaic Modules Hijjawi, S

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:45:19.755162Z

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 656f141a-0835-414d-b68a-b45ad0423548 · outbound

This paper cites an unresolved cited work.

A Generative Approach for Improving Multi-Label Defect Classification in Photovoltaic Modules Unresolved cited work

Reference 2

Resolution: unresolved; raw_fallback, observed 2026-08-16T00:45:19.746966Z

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 c5393de9-619d-42d0-b13f-c202b80e74b2 · outbound

This paper cites an unresolved cited work.

A Generative Approach for Improving Multi-Label Defect Classification in Photovoltaic Modules Unresolved cited work

Reference 3

Resolution: unresolved; raw_fallback, observed 2026-08-16T00:45:19.738397Z

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 26750588-968e-47e9-9e69-9343e571ed4a · outbound

This paper cites Chindarkar, S.

A Generative Approach for Improving Multi-Label Defect Classification in Photovoltaic Modules Chindarkar, S

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:45:19.729939Z

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 57ec5802-797c-4d68-b97c-7ebcf341a35b · outbound

This paper cites Köntges, S.

A Generative Approach for Improving Multi-Label Defect Classification in Photovoltaic Modules Köntges, S

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:45:19.721462Z

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 fe509ad4-241c-4b44-8bdb-2650261b1f5d · outbound

This paper cites Fuyuki, A.

A Generative Approach for Improving Multi-Label Defect Classification in Photovoltaic Modules Fuyuki, A

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:45:19.713384Z

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 80d87f51-2368-4295-a866-fed017c33ddd · outbound

This paper cites Deitsch, V.

A Generative Approach for Improving Multi-Label Defect Classification in Photovoltaic Modules Deitsch, V

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:45:19.705682Z

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 dea5e730-51af-4713-a88c-38ec5e792bc8 · outbound

This paper cites Fioresi, D.

A Generative Approach for Improving Multi-Label Defect Classification in Photovoltaic Modules Fioresi, D

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:45:19.697126Z

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 6a8af0ef-a4dc-4d2f-9794-6ecbddff7cc6 · outbound

This paper cites an unresolved cited work.

A Generative Approach for Improving Multi-Label Defect Classification in Photovoltaic Modules Unresolved cited work

Reference 9

Resolution: unresolved; raw_fallback, observed 2026-08-16T00:45:19.688873Z

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 ab8a6a17-76ce-4247-a967-90afeb39058b · outbound

This paper cites an unresolved cited work.

A Generative Approach for Improving Multi-Label Defect Classification in Photovoltaic Modules Unresolved cited work

Reference 10

Resolution: unresolved; raw_fallback, observed 2026-08-16T00:45:19.680233Z

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 aac348c7-5706-4a80-b80f-ee890842ad12 · outbound

This paper cites Suvorov, E.

A Generative Approach for Improving Multi-Label Defect Classification in Photovoltaic Modules Suvorov, E

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:45:19.671990Z

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 2c417cd8-ee2e-4556-b25f-69f3b1323829 · outbound

This paper cites Tsai, S.-C.

A Generative Approach for Improving Multi-Label Defect Classification in Photovoltaic Modules Tsai, S.-C

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:45:19.663546Z

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 47b0ea9e-c8e1-4903-bd69-3fc8304098de · outbound

This paper cites Tsai, S.-C.

A Generative Approach for Improving Multi-Label Defect Classification in Photovoltaic Modules Tsai, S.-C

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:45:19.655001Z

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 00b9f11b-9bee-400d-9a75-d2b240f90882 · outbound

This paper cites Zhang, X.

A Generative Approach for Improving Multi-Label Defect Classification in Photovoltaic Modules Zhang, X

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:45:19.646501Z

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 0cae2150-e86c-4249-8cb3-2a6afaeaf47f · outbound

This paper cites an unresolved cited work.

A Generative Approach for Improving Multi-Label Defect Classification in Photovoltaic Modules Unresolved cited work

Reference 15

Resolution: unresolved; raw_fallback, observed 2026-08-16T00:45:19.637999Z

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 95e4847f-9081-4e1d-9a48-6e15d66e9e0f · outbound

This paper cites an unresolved cited work.

A Generative Approach for Improving Multi-Label Defect Classification in Photovoltaic Modules Unresolved cited work

Reference 16

Resolution: unresolved; raw_fallback, observed 2026-08-16T00:45:19.628129Z

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 d793ad8f-ae9d-4102-945f-3653f6c20ba3 · outbound

This paper cites Zhang, Y.

A Generative Approach for Improving Multi-Label Defect Classification in Photovoltaic Modules Zhang, Y

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:45:19.618920Z

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 089eaac3-3ccd-44b9-ad25-f89d7f683cf9 · outbound

This paper cites an unresolved cited work.

A Generative Approach for Improving Multi-Label Defect Classification in Photovoltaic Modules Unresolved cited work

Reference 18

Resolution: unresolved; raw_fallback, observed 2026-08-16T00:45:19.610050Z

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 1baabd31-455c-46b6-8133-a12ba76bc4d3 · outbound

This paper cites Bartler, L.

A Generative Approach for Improving Multi-Label Defect Classification in Photovoltaic Modules Bartler, L

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:45:19.601164Z

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 e295768c-3c61-44d8-9403-7ad1364a78c3 · outbound

This paper cites an unresolved cited work.

A Generative Approach for Improving Multi-Label Defect Classification in Photovoltaic Modules Unresolved cited work

Reference 20

Resolution: unresolved; raw_fallback, observed 2026-08-16T00:45:19.591925Z

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 f59f4a1a-bc01-47e9-a820-2ecc7b6125c8 · outbound

This paper cites an unresolved cited work.

A Generative Approach for Improving Multi-Label Defect Classification in Photovoltaic Modules Unresolved cited work

Reference 21

Resolution: unresolved; raw_fallback, observed 2026-08-16T00:45:19.582747Z

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 04804b1e-26cf-496a-9740-2140002da8b8 · outbound

This paper cites Inpaint Anything: Segment Anything Meets Image Inpainting.

A Generative Approach for Improving Multi-Label Defect Classification in Photovoltaic Modules Inpaint Anything: Segment Anything Meets Image Inpainting

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-16T00:45:19.400539Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 214acf00-fa8f-47de-804a-a0ada1886cdd · outbound

This paper cites an unresolved cited work.

A Generative Approach for Improving Multi-Label Defect Classification in Photovoltaic Modules Unresolved cited work

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-16T00:45:19.403976Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 38eb36b8-02ef-42a0-898a-5e7fb194a866 · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

A Generative Approach for Improving Multi-Label Defect Classification in Photovoltaic Modules An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-16T00:45:19.406787Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation be517c0a-505d-4032-bc26-efaa535f2ae2 · outbound

This paper cites Devlin, M.-W.

A Generative Approach for Improving Multi-Label Defect Classification in Photovoltaic Modules Devlin, M.-W

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-16T00:45:19.409721Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ffc78bf6-ad6f-476d-889d-960db5a5e6e9 · outbound

This paper cites How to train your ViT? Data, Augmentation, and Regularization in Vision Transformers.

A Generative Approach for Improving Multi-Label Defect Classification in Photovoltaic Modules How to train your ViT? Data, Augmentation, and Regularization in Vision Transformers

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-16T00:45:19.412422Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6a4cb9ac-461e-4e22-b12f-f34aa5e4dbf0 · outbound

This paper cites an unresolved cited work.

A Generative Approach for Improving Multi-Label Defect Classification in Photovoltaic Modules Unresolved cited work

Reference 27

Resolution: unresolved; raw_fallback, observed 2026-08-16T00:45:19.564243Z

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 f3914897-3b65-46fa-ae4f-6b78025d7d98 · outbound

This paper cites Rethinking Atrous Convolution for Semantic Image Segmentation.

A Generative Approach for Improving Multi-Label Defect Classification in Photovoltaic Modules Rethinking Atrous Convolution for Semantic Image Segmentation

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-16T00:45:19.418321Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 08fbc65f-f93f-4213-9903-57874d777d69 · outbound

This paper cites an unresolved cited work.

A Generative Approach for Improving Multi-Label Defect Classification in Photovoltaic Modules Unresolved cited work

Reference 29

Resolution: unresolved; raw_fallback, observed 2026-08-16T00:45:19.555265Z

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 a41807a2-5b04-4f28-83a5-4db9b4c3733a · outbound

This paper cites Abdelsattar, A.

A Generative Approach for Improving Multi-Label Defect Classification in Photovoltaic Modules Abdelsattar, A

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:45:19.546450Z

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 b2e3977a-cf27-4da4-8e4c-26c41a98c498 · outbound

This paper cites Sandler, A.

A Generative Approach for Improving Multi-Label Defect Classification in Photovoltaic Modules Sandler, A

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-16T00:45:19.427268Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 56f8f8fd-4f98-426a-8e68-abfe3153d28a · outbound

This paper cites Chollet, Xception: Deep learning with depthwise separable convolu- tions, in: Proceedings of the IEEE conference on computer vision and pattern recognition, 2017, pp.

A Generative Approach for Improving Multi-Label Defect Classification in Photovoltaic Modules Chollet, Xception: Deep learning with depthwise separable convolu- tions, in: Proceedings of the IEEE conference on computer vision and pattern recognition, 2017, pp

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-16T00:45:19.430161Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5ab0b626-e098-47d1-ae46-e07baf533ee1 · outbound

This paper cites Ghiasi, Y.

A Generative Approach for Improving Multi-Label Defect Classification in Photovoltaic Modules Ghiasi, Y

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-16T00:45:19.432776Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8d094414-9b6f-46da-a457-f12345cf632f · outbound

This paper cites Kajari-Schröder, I.

A Generative Approach for Improving Multi-Label Defect Classification in Photovoltaic Modules Kajari-Schröder, I

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:45:19.522103Z

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 ba133035-e1f9-449e-aadc-08de36200f39 · outbound

This paper cites Sachert, Investigations of different soldering failure modes and their impact on module reliability, Energy Procedia 55 (2014) 456–463.

A Generative Approach for Improving Multi-Label Defect Classification in Photovoltaic Modules Sachert, Investigations of different soldering failure modes and their impact on module reliability, Energy Procedia 55 (2014) 456–463

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:45:19.512600Z

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 9acb8da1-1a4c-489b-bce4-cee500be3b3b · outbound

This paper cites Hooper, M.

A Generative Approach for Improving Multi-Label Defect Classification in Photovoltaic Modules Hooper, M

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:45:19.502725Z

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.