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Paper Citation Record · LEDGER

Benchmarking Vision Transformers and CNNs for Thermal Photovoltaic Fault Detection with Explainable AI Validation

As of 9 August 2026, this Paper Citation Record lists 2 of 2 outbound references and 1 inbound Pith citation observation for arXiv:2509.07039.

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

pith.paper-citation-record.v1
2509.07039 v1

Coverage vector

measured 2 of 2 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T23:40:00.709550Z

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-13T04:43:09.543909Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

2 of 2 outbound references displayed

  • verified exact1
  • verified fuzzy1
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e8f11565-b714-4977-ac06-e6ca0588adcf · outbound

This paper cites Anomaly Detection in IR Images of PV Modules using Supervised Contrastive Learning.

Benchmarking Vision Transformers and CNNs for Thermal Photovoltaic Fault Detection with Explainable AI Validation Anomaly Detection in IR Images of PV Modules using Supervised Contrastive Learning

Reference 7

Resolution
verified exact
local_arxiv, observed 2026-08-04T23:40:00.890511Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-04T23:40:00.668365Z digest=sha256:83d842051eaa3d33bb14c33ee78e5ebf48fe54a8b2389470a99e54f34460d450

Observation 55c95d70-e78a-4e9f-b19d-f099fcdbfee6 · outbound

This paper cites & Vadhavkar, N.

Benchmarking Vision Transformers and CNNs for Thermal Photovoltaic Fault Detection with Explainable AI Validation & Vadhavkar, N

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-04T23:40:01.020570Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-04T23:40:00.709550Z digest=sha256:4dc90c0668dc0d58f1f9dec7a4d81123cd2dd1fd124d5d1d7845baf8a7d14eb1

Pith citing papers

Observation e618a598-5ff3-40fe-b1c9-7d7899c21864 · inbound

Joint-Embedding Predictive Architecture for Solar PV Panel Fault Classification cites this paper.

Joint-Embedding Predictive Architecture for Solar PV Panel Fault Classification Benchmarking Vision Transformers and CNNs for Thermal Photovoltaic Fault Detection with Explainable AI Validation

Reference 20

Resolution
unresolved
no resolver link, observed 2026-07-13T04:43:09.543909Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T04:43:09.543909Z digest=sha256:7ef3b3983ec812dffb1a43df8b45086d45363adf16a41a6d00ec7c81ae735b1f