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Paper Citation Record · LEDGER

HOTSPOT-YOLO: A Lightweight Deep Learning Attention-Driven Model for Detecting Thermal Anomalies in Drone-Based Solar Photovoltaic Inspections

As of 12 August 2026, this Paper Citation Record lists 42 of 42 outbound references and 0 inbound Pith citation observations for arXiv:2508.18912.

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

pith.paper-citation-record.v1
2508.18912 v1

Coverage vector

measured 42 of 42 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T16:10:19.714508Z

measured 42 of 42 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+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

42 of 42 outbound references displayed

  • verified exact0
  • verified fuzzy18
  • unresolved24
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation cbe53b6f-2cb4-4a3c-9133-c7f03108fb80 · outbound

This paper cites an unresolved cited work.

HOTSPOT-YOLO: A Lightweight Deep Learning Attention-Driven Model for Detecting Thermal Anomalies in Drone-Based Solar Photovoltaic Inspections Unresolved cited work

Reference 1

Resolution
unresolved
raw_fallback, observed 2026-08-05T16:10:20.105186Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 439d0f7a-9945-490e-af64-ae5e6725b8ae · outbound

This paper cites an unresolved cited work.

HOTSPOT-YOLO: A Lightweight Deep Learning Attention-Driven Model for Detecting Thermal Anomalies in Drone-Based Solar Photovoltaic Inspections Unresolved cited work

Reference 2

Resolution
unresolved
raw_fallback, observed 2026-08-05T16:10:20.096789Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-05T16:10:19.590556Z digest=sha256:c2133b6d24b54c693287e1608fa8354fa6381b8aa37c13d6512eb22aeaa3fc57

Observation d98a6736-08a8-48c3-a3c0-d3eb9ea5c916 · outbound

This paper cites an unresolved cited work.

HOTSPOT-YOLO: A Lightweight Deep Learning Attention-Driven Model for Detecting Thermal Anomalies in Drone-Based Solar Photovoltaic Inspections Unresolved cited work

Reference 3

Resolution
unresolved
raw_fallback, observed 2026-08-05T16:10:20.088320Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-05T16:10:19.593741Z digest=sha256:c410106c9b469268100b4f80924d440f296debfe8784537bd7d47f8b3aa5677a

Observation 401b3482-764c-4d44-9973-189deb65d695 · outbound

This paper cites an unresolved cited work.

HOTSPOT-YOLO: A Lightweight Deep Learning Attention-Driven Model for Detecting Thermal Anomalies in Drone-Based Solar Photovoltaic Inspections Unresolved cited work

Reference 4

Resolution
unresolved
raw_fallback, observed 2026-08-05T16:10:20.079540Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-05T16:10:19.596663Z digest=sha256:49fa61afb68a358339d6c30ad12158282dab48ab14ae6da257738ca80bdac754

Observation dd6aafee-e9a2-410a-ad58-015890b919c4 · outbound

This paper cites an unresolved cited work.

HOTSPOT-YOLO: A Lightweight Deep Learning Attention-Driven Model for Detecting Thermal Anomalies in Drone-Based Solar Photovoltaic Inspections Unresolved cited work

Reference 5

Resolution
unresolved
raw_fallback, observed 2026-08-05T16:10:20.069971Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-05T16:10:19.600395Z digest=sha256:b4837d71d0d9756cc8449f5764df2a0ec7a0a83e82e7165ff00800e98727b21d

Observation 417b6d57-92f4-4408-80a0-c988f0a30dd2 · outbound

This paper cites an unresolved cited work.

HOTSPOT-YOLO: A Lightweight Deep Learning Attention-Driven Model for Detecting Thermal Anomalies in Drone-Based Solar Photovoltaic Inspections Unresolved cited work

Reference 6

Resolution
unresolved
raw_fallback, observed 2026-08-05T16:10:20.061099Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-05T16:10:19.603540Z digest=sha256:6a3e1f6e35c28a89b7cc9eba8aa65a8568da5ec0e02034db04f1a9b631b91aee

Observation 94186bae-d9dd-4018-bbb4-2b7ed6a77716 · outbound

This paper cites A., Urmee, T., & Parlevliet, D.

HOTSPOT-YOLO: A Lightweight Deep Learning Attention-Driven Model for Detecting Thermal Anomalies in Drone-Based Solar Photovoltaic Inspections A., Urmee, T., & Parlevliet, D

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:10:20.052487Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-05T16:10:19.606772Z digest=sha256:8abc9ab35a797f83b11cf34e15bdfc1579c763167a602fddd5f105419e1edb98

Observation d0895f34-f5fc-483a-8bd6-a44a704941ce · outbound

This paper cites G., Burud, I., Olsen, E., & Belbachir, N.

HOTSPOT-YOLO: A Lightweight Deep Learning Attention-Driven Model for Detecting Thermal Anomalies in Drone-Based Solar Photovoltaic Inspections G., Burud, I., Olsen, E., & Belbachir, N

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:10:20.043811Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-05T16:10:19.609747Z digest=sha256:132064d5199ca24d2e70082743bd51ef5ea75824380625b0733c2b3238a557d1

Observation 3118d3d1-5682-4895-955e-4e9df62cbda7 · outbound

This paper cites an unresolved cited work.

HOTSPOT-YOLO: A Lightweight Deep Learning Attention-Driven Model for Detecting Thermal Anomalies in Drone-Based Solar Photovoltaic Inspections Unresolved cited work

Reference 9

Resolution
unresolved
raw_fallback, observed 2026-08-05T16:10:20.035232Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-05T16:10:19.612994Z digest=sha256:0aea305c48e943da475608e889f5304486166c2bda222d92ce41123e3ad6b8c9

Observation 62838739-61ac-4d6a-b6da-a825606f4692 · outbound

This paper cites B., Leon -Salas, W.

HOTSPOT-YOLO: A Lightweight Deep Learning Attention-Driven Model for Detecting Thermal Anomalies in Drone-Based Solar Photovoltaic Inspections B., Leon -Salas, W

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:10:20.026940Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-05T16:10:19.615891Z digest=sha256:d0e3dc5ad44dc951699e2acc74e4d432fdebe2f61136496b2ec1cac518163c77

Observation 271e2214-de89-46db-87a4-0934479df9e1 · outbound

This paper cites and Dhimish, M., 2023.

HOTSPOT-YOLO: A Lightweight Deep Learning Attention-Driven Model for Detecting Thermal Anomalies in Drone-Based Solar Photovoltaic Inspections and Dhimish, M., 2023

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:10:20.018568Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-05T16:10:19.618633Z digest=sha256:e09ae84f0e7d05c96a6a3c135a546d0abbcb0c90979ca73a4b6dfb5abf113b79

Observation 2281ee45-8896-4f9c-b94d-9429e6d41f3d · outbound

This paper cites and Dhimish, M., 2025.

HOTSPOT-YOLO: A Lightweight Deep Learning Attention-Driven Model for Detecting Thermal Anomalies in Drone-Based Solar Photovoltaic Inspections and Dhimish, M., 2025

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:10:20.009875Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-05T16:10:19.621458Z digest=sha256:25d35b7949e0bbe5cda56746219ed59ab32538102b2ce987926a81deb11da2af

Observation f4d468a5-21aa-4c52-b4e1-5a2d9155a9df · outbound

This paper cites H., Marugán, A.

HOTSPOT-YOLO: A Lightweight Deep Learning Attention-Driven Model for Detecting Thermal Anomalies in Drone-Based Solar Photovoltaic Inspections H., Marugán, A

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:10:20.001460Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-05T16:10:19.624474Z digest=sha256:88e410601864cb8308b89637b1c30551dc9aa6072ae09702f6b0a987e9512690

Observation 19afb55b-6b5f-4498-9bef-310d4ec92f1b · outbound

This paper cites YOLO advances to its genesis: a decadal and comprehensive review of the You Only Look Once (YOLO) series.

HOTSPOT-YOLO: A Lightweight Deep Learning Attention-Driven Model for Detecting Thermal Anomalies in Drone-Based Solar Photovoltaic Inspections YOLO advances to its genesis: a decadal and comprehensive review of the You Only Look Once (YOLO) series

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-05T16:10:19.627389Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T16:10:19.627389Z digest=sha256:fd5aea666b7b0d5bb29a2e3250914638b93f4bfe9982ace6fccc0fa59376a829

Observation 432efd56-5112-4a8e-8f59-73df05e1fea3 · outbound

This paper cites (2024, November).

HOTSPOT-YOLO: A Lightweight Deep Learning Attention-Driven Model for Detecting Thermal Anomalies in Drone-Based Solar Photovoltaic Inspections (2024, November)

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:10:19.992678Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-05T16:10:19.631233Z digest=sha256:774b14d7ecf6e137b37f99eae028353785b7dbba80c40287267c550e001da4a5

Observation 55da5f06-83f3-4ce6-937e-fb3a55b35dd2 · outbound

This paper cites (2023, December).

HOTSPOT-YOLO: A Lightweight Deep Learning Attention-Driven Model for Detecting Thermal Anomalies in Drone-Based Solar Photovoltaic Inspections (2023, December)

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:10:19.984581Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-05T16:10:19.633840Z digest=sha256:a6e9615d615312df62c4024399223914c88adc081a3ae63ed4e4c916c3312237

Observation 4a8338f3-3ebf-44fa-bf3e-01967de0e75e · outbound

This paper cites (2024, June).

HOTSPOT-YOLO: A Lightweight Deep Learning Attention-Driven Model for Detecting Thermal Anomalies in Drone-Based Solar Photovoltaic Inspections (2024, June)

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:10:19.976332Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-05T16:10:19.636598Z digest=sha256:5897ec6056b88085d5d1b72e5f921a583720f610968a8282de1f46f1d3fab0c9

Observation b32bbf1e-b6b6-435a-b4df-875e6e4e8c5d · outbound

This paper cites YOLOv11: An Overview of the Key Architectural Enhancements.

HOTSPOT-YOLO: A Lightweight Deep Learning Attention-Driven Model for Detecting Thermal Anomalies in Drone-Based Solar Photovoltaic Inspections YOLOv11: An Overview of the Key Architectural Enhancements

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-05T16:10:19.639352Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T16:10:19.639352Z digest=sha256:13dc8a992a5a93bb4cc43058bbb0a4e92909422f79b2051693ae53b227a2df5a

Observation 8d4cbc01-a6a6-4305-a84a-cab3f06b91a9 · outbound

This paper cites an unresolved cited work.

HOTSPOT-YOLO: A Lightweight Deep Learning Attention-Driven Model for Detecting Thermal Anomalies in Drone-Based Solar Photovoltaic Inspections Unresolved cited work

Reference 19

Resolution
unresolved
raw_fallback, observed 2026-08-05T16:10:19.966843Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-05T16:10:19.642864Z digest=sha256:781d4729e69aea4af97a904bf1ef8b3869ef7eaa8a48d97f28527c69e0651939

Observation 42c3367f-c7e5-4464-8e4e-6c1ef733cdf3 · outbound

This paper cites an unresolved cited work.

HOTSPOT-YOLO: A Lightweight Deep Learning Attention-Driven Model for Detecting Thermal Anomalies in Drone-Based Solar Photovoltaic Inspections Unresolved cited work

Reference 20

Resolution
unresolved
raw_fallback, observed 2026-08-05T16:10:19.957369Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-05T16:10:19.645681Z digest=sha256:97683222f1abfe8253531f980835a560169b04862c1467eabe8bbf2991176dd8

Observation fd7cd64e-f3e7-41a8-8ca5-069f9634d61e · outbound

This paper cites S., Zhao, B.

HOTSPOT-YOLO: A Lightweight Deep Learning Attention-Driven Model for Detecting Thermal Anomalies in Drone-Based Solar Photovoltaic Inspections S., Zhao, B

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:10:19.948916Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-05T16:10:19.648728Z digest=sha256:5f974dd99ba3acb2b72859a7d20b4f49b787a36613b9f4dcc7928ffc4cf00be9

Observation 801fb5ef-27d2-48b4-8424-56c087341145 · outbound

This paper cites an unresolved cited work.

HOTSPOT-YOLO: A Lightweight Deep Learning Attention-Driven Model for Detecting Thermal Anomalies in Drone-Based Solar Photovoltaic Inspections Unresolved cited work

Reference 22

Resolution
unresolved
raw_fallback, observed 2026-08-05T16:10:19.940241Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-05T16:10:19.652343Z digest=sha256:fadd583c7e79c8a840560e6c1f73ece2b69eaba09663e7cf69406ad52d930b2f

Observation 681baae4-3b4d-4618-a772-874c8946a5c2 · outbound

This paper cites an unresolved cited work.

HOTSPOT-YOLO: A Lightweight Deep Learning Attention-Driven Model for Detecting Thermal Anomalies in Drone-Based Solar Photovoltaic Inspections Unresolved cited work

Reference 23

Resolution
unresolved
raw_fallback, observed 2026-08-05T16:10:19.932306Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-05T16:10:19.655260Z digest=sha256:2dc72009a41806e96a1d38386e250ac11f6a9748169e9608306b17c4ece85cb6

Observation 4d3e9ecc-35fe-4820-aea0-4956b5d52428 · outbound

This paper cites an unresolved cited work.

HOTSPOT-YOLO: A Lightweight Deep Learning Attention-Driven Model for Detecting Thermal Anomalies in Drone-Based Solar Photovoltaic Inspections Unresolved cited work

Reference 24

Resolution
unresolved
raw_fallback, observed 2026-08-05T16:10:19.923234Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-05T16:10:19.658745Z digest=sha256:8eee6dfbf5618bd1b66e5473af850ce118d11e5fe2c928e8f86f7b94b7610f63

Observation cf8cbb0a-ca64-4124-a781-c46702e29029 · outbound

This paper cites an unresolved cited work.

HOTSPOT-YOLO: A Lightweight Deep Learning Attention-Driven Model for Detecting Thermal Anomalies in Drone-Based Solar Photovoltaic Inspections Unresolved cited work

Reference 25

Resolution
unresolved
raw_fallback, observed 2026-08-05T16:10:19.914919Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-05T16:10:19.661674Z digest=sha256:73cb47667680522f8eea9f5935254a2171723ebc9c0b4190327f1fb2a17037ab

Observation f117c778-6a17-411d-8f29-91d64a16c785 · outbound

This paper cites an unresolved cited work.

HOTSPOT-YOLO: A Lightweight Deep Learning Attention-Driven Model for Detecting Thermal Anomalies in Drone-Based Solar Photovoltaic Inspections Unresolved cited work

Reference 26

Resolution
unresolved
raw_fallback, observed 2026-08-05T16:10:19.906085Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-05T16:10:19.665325Z digest=sha256:5b0ea28eddad08db2f4f65ea678f219d6bb7942ba3cd0da7ac754221c197c10c

Observation cf01028e-a810-41f6-8306-5d73dff4ed12 · outbound

This paper cites an unresolved cited work.

HOTSPOT-YOLO: A Lightweight Deep Learning Attention-Driven Model for Detecting Thermal Anomalies in Drone-Based Solar Photovoltaic Inspections Unresolved cited work

Reference 27

Resolution
unresolved
raw_fallback, observed 2026-08-05T16:10:19.897545Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-05T16:10:19.668227Z digest=sha256:bb7b6fd81cd3d77254cba27cfb016c6b3a00170cd73edbacbefe880aeb14be29

Observation ac9d9604-045c-433e-9b0a-d8f3342bcb0d · outbound

This paper cites an unresolved cited work.

HOTSPOT-YOLO: A Lightweight Deep Learning Attention-Driven Model for Detecting Thermal Anomalies in Drone-Based Solar Photovoltaic Inspections Unresolved cited work

Reference 28

Resolution
unresolved
raw_fallback, observed 2026-08-05T16:10:19.888089Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-05T16:10:19.671157Z digest=sha256:2dd57a2d3394ff12386c56e27f0ea8f4ddf2d462f34eb9545474650921c89f84

Observation 8b3eb3be-4464-4dc6-bb11-aa035cb2fc0f · outbound

This paper cites R., Singh, S.

HOTSPOT-YOLO: A Lightweight Deep Learning Attention-Driven Model for Detecting Thermal Anomalies in Drone-Based Solar Photovoltaic Inspections R., Singh, S

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:10:19.879049Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-05T16:10:19.674152Z digest=sha256:9304f057b069fc02bbcfdf007501960a362782d6c1d112dde2c7776d37aee76f

Observation 0bda60d6-a3d4-4ddc-b48a-0fbd30217f80 · outbound

This paper cites an unresolved cited work.

HOTSPOT-YOLO: A Lightweight Deep Learning Attention-Driven Model for Detecting Thermal Anomalies in Drone-Based Solar Photovoltaic Inspections Unresolved cited work

Reference 30

Resolution
unresolved
raw_fallback, observed 2026-08-05T16:10:19.869854Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-05T16:10:19.677330Z digest=sha256:af7e45cc411d64d88cc3c27a168a86c78f6db8da61ffd14268615dc7441e41ed

Observation 59b7d80c-83ec-4389-a559-9e966d7b3af0 · outbound

This paper cites an unresolved cited work.

HOTSPOT-YOLO: A Lightweight Deep Learning Attention-Driven Model for Detecting Thermal Anomalies in Drone-Based Solar Photovoltaic Inspections Unresolved cited work

Reference 31

Resolution
unresolved
raw_fallback, observed 2026-08-05T16:10:19.860646Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-05T16:10:19.681224Z digest=sha256:fab91c3977bed0854a5e13ab68bad37677b4d027eb525d7aa68be75639a0552b

Observation b16aecf9-545d-4961-b22d-78ede234363b · outbound

This paper cites an unresolved cited work.

HOTSPOT-YOLO: A Lightweight Deep Learning Attention-Driven Model for Detecting Thermal Anomalies in Drone-Based Solar Photovoltaic Inspections Unresolved cited work

Reference 32

Resolution
unresolved
raw_fallback, observed 2026-08-05T16:10:19.851705Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-05T16:10:19.684210Z digest=sha256:edac16649e6a422d2f83c2a1725a18f894fd742e1b8711b03a83dd65bf9c48c5

Observation 13f00c57-8ee1-4b7e-b142-9b657f5ef2ba · outbound

This paper cites M., Schneider, F., & Hennig, P.

HOTSPOT-YOLO: A Lightweight Deep Learning Attention-Driven Model for Detecting Thermal Anomalies in Drone-Based Solar Photovoltaic Inspections M., Schneider, F., & Hennig, P

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:10:19.843232Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-05T16:10:19.687120Z digest=sha256:be7b2b04a07d59f47a6461b87ac3c3d97d548985e5be649d052b89fecc7d7c9a

Observation f742163b-c9b4-40a1-becd-d069bc6fb6e2 · outbound

This paper cites an unresolved cited work.

HOTSPOT-YOLO: A Lightweight Deep Learning Attention-Driven Model for Detecting Thermal Anomalies in Drone-Based Solar Photovoltaic Inspections Unresolved cited work

Reference 34

Resolution
unresolved
raw_fallback, observed 2026-08-05T16:10:19.834804Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-05T16:10:19.690156Z digest=sha256:3d1cb62854b7302186a286401cfc47285b9820b0acf4f395a5964c2aca2d473f

Observation 83784b86-eb8a-4b88-814f-fdcc9436cef7 · outbound

This paper cites an unresolved cited work.

HOTSPOT-YOLO: A Lightweight Deep Learning Attention-Driven Model for Detecting Thermal Anomalies in Drone-Based Solar Photovoltaic Inspections Unresolved cited work

Reference 35

Resolution
unresolved
raw_fallback, observed 2026-08-05T16:10:19.826116Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-05T16:10:19.693149Z digest=sha256:d46a76b3fdaa4e2b6ee07cb3af581c334b67d07d96fb52574cd498a788efd1cc

Observation 21f478e8-8193-4df7-a15f-d065646df592 · outbound

This paper cites (2023, May).

HOTSPOT-YOLO: A Lightweight Deep Learning Attention-Driven Model for Detecting Thermal Anomalies in Drone-Based Solar Photovoltaic Inspections (2023, May)

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:10:19.818038Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-05T16:10:19.696070Z digest=sha256:1d146b2d9d929f104914b7d253523cd974e5d208474a8eb777a1dc131fd2501a

Observation 3f47f1ab-004c-4c9d-88ba-4dececcad4ef · outbound

This paper cites Link: https://docs.ultralytics.com/models/yolov5/#overview Page 29 of 29.

HOTSPOT-YOLO: A Lightweight Deep Learning Attention-Driven Model for Detecting Thermal Anomalies in Drone-Based Solar Photovoltaic Inspections Link: https://docs.ultralytics.com/models/yolov5/#overview Page 29 of 29

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:10:19.809256Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-05T16:10:19.699424Z digest=sha256:d6d97d39a8e2bd4b884d84bb2612fcfa1bdd1068f2de8ba4d7b31198860dbfd2

Observation 0a477eb5-d12d-473d-802d-f75b25dfc38f · outbound

This paper cites Link: https://docs.ultralytics.com/models/yolov9/#what-tasks-and- modes-does-yolov9-support.

HOTSPOT-YOLO: A Lightweight Deep Learning Attention-Driven Model for Detecting Thermal Anomalies in Drone-Based Solar Photovoltaic Inspections Link: https://docs.ultralytics.com/models/yolov9/#what-tasks-and- modes-does-yolov9-support

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:10:19.799264Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-05T16:10:19.702423Z digest=sha256:0fa44ba18efd39b3935e34eb34ac4c3a51902047c5d2f4bef658d92501b2ff04

Observation c309e884-0198-4acf-b4a9-750628d2b532 · outbound

This paper cites Link: https://docs.ultralytics.com/models/yolo11/.

HOTSPOT-YOLO: A Lightweight Deep Learning Attention-Driven Model for Detecting Thermal Anomalies in Drone-Based Solar Photovoltaic Inspections Link: https://docs.ultralytics.com/models/yolo11/

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:10:19.790058Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-05T16:10:19.705455Z digest=sha256:6fe91da77eb5ddbfe31bbdd78fbd9dfc73df2f767f1f05f978661814732aab19

Observation 78ace556-73ed-4d05-a7ed-088aeca3a795 · outbound

This paper cites an unresolved cited work.

HOTSPOT-YOLO: A Lightweight Deep Learning Attention-Driven Model for Detecting Thermal Anomalies in Drone-Based Solar Photovoltaic Inspections Unresolved cited work

Reference 40

Resolution
unresolved
raw_fallback, observed 2026-08-05T16:10:19.779308Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-05T16:10:19.708279Z digest=sha256:b23ee221bfffd5ce2da06b197a466b4e758aa61040c2e207a2ddfabe212a217c

Observation 59575659-ea16-4d8c-a1b7-9671f55bfdbf · outbound

This paper cites A., & Dawood, Z.

HOTSPOT-YOLO: A Lightweight Deep Learning Attention-Driven Model for Detecting Thermal Anomalies in Drone-Based Solar Photovoltaic Inspections A., & Dawood, Z

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:10:19.770041Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-05T16:10:19.711780Z digest=sha256:68b02a6d57193b758ff7f450f7252d169439195fe2ff683984596878aa76f058

Observation 8bf334a5-11a3-4553-bda8-664e132bea47 · outbound

This paper cites U., Saleem, S., Masood, H., Kallu, K.

HOTSPOT-YOLO: A Lightweight Deep Learning Attention-Driven Model for Detecting Thermal Anomalies in Drone-Based Solar Photovoltaic Inspections U., Saleem, S., Masood, H., Kallu, K

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:10:19.761055Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-05T16:10:19.714508Z digest=sha256:0d71b948f117c60bb6356faf20dccd3a09ac689c789fbef524f0ee627732d62a

Pith citing papers

No inbound Pith citation observations are available.