Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-05T15:30:10.603599Z
Paper Citation Record · LEDGER
As of 8 August 2026, this Paper Citation Record lists 76 of 76 outbound references and 0 inbound Pith citation observations for arXiv:2508.19850.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-05T15:30:10.603599Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
76 of 76 outbound references displayed
External citation measurements
No source-named external measurement is stored.
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Image Quality Assessment for Machines: Paradigm, Large-scale Database, and Models Unresolved cited work
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Image Quality Assessment for Machines: Paradigm, Large-scale Database, and Models In: The Eleventh International Conference on Learning Representations (2023)
Reference 72
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Image Quality Assessment for Machines: Paradigm, Large-scale Database, and Models IEEE Transactions on Image Processing 23(10), 4270–4281 (2014)
Reference 73
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Image Quality Assessment for Machines: Paradigm, Large-scale Database, and Models In: IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2018)
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Image Quality Assessment for Machines: Paradigm, Large-scale Database, and Models In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition, pp
Reference 75
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Image Quality Assessment for Machines: Paradigm, Large-scale Database, and Models In: International Conference on Learning Representations (2021)
Reference 76
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Image Quality Assessment for Machines: Paradigm, Large-scale Database, and Models In: Proceedings of the IEEE/CVF international conference on computer vision, pp
Reference 77
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