Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-12T13:52:02.046857Z
Paper Citation Record · LEDGER
As of 22 August 2026, this Paper Citation Record lists 80 of 80 outbound references and 2 inbound Pith citation observations for arXiv:2411.15858.
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 2026-08-12T13:52:02.046857Z
One-hop event checks from named stored sources.
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Pith citing papers itemized under the disclosed page cap.
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A source-named dated measurement, never combined with another source.
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80 of 80 outbound references displayed
External citation measurements
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Observation 7147fa12-da43-4746-9614-54306a6527a5 · outbound
SVTRv2: CTC Beats Encoder-Decoder Models in Scene Text Recognition Anhar, S
Reference 1
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Reference 2
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Reference 3
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SVTRv2: CTC Beats Encoder-Decoder Models in Scene Text Recognition Bautista and R.l Atienza
Reference 4
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SVTRv2: CTC Beats Encoder-Decoder Models in Scene Text Recognition Benchmarking Chinese Text Recognition: Datasets, Baselines, and an Empirical Study
Reference 6
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Reference 7
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SVTRv2: CTC Beats Encoder-Decoder Models in Scene Text Recognition Cheng, P
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Reference 9
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SVTRv2: CTC Beats Encoder-Decoder Models in Scene Text Recognition Dosovitskiy, L
Reference 10
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SVTRv2: CTC Beats Encoder-Decoder Models in Scene Text Recognition ABINet++: Autonomous, bidirectional and iterative language modeling for scene text spotting
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SVTRv2: CTC Beats Encoder-Decoder Models in Scene Text Recognition Graves, S
Reference 17
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Reference 19
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SVTRv2: CTC Beats Encoder-Decoder Models in Scene Text Recognition Gupta, A
Reference 20
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Reference 21
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SVTRv2: CTC Beats Encoder-Decoder Models in Scene Text Recognition Synthetic Data and Artificial Neural Networks for Natural Scene Text Recognition
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SVTRv2: CTC Beats Encoder-Decoder Models in Scene Text Recognition Jiang, J
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SVTRv2: CTC Beats Encoder-Decoder Models in Scene Text Recognition Karatzas, L
Reference 26
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SVTRv2: CTC Beats Encoder-Decoder Models in Scene Text Recognition KaratzasAU, F
Reference 27
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SVTRv2: CTC Beats Encoder-Decoder Models in Scene Text Recognition PP-OCRv3: More Attempts for the Improvement of Ultra Lightweight OCR System
Reference 28
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Reference 30
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Reference 31
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Reference 32
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SVTRv2: CTC Beats Encoder-Decoder Models in Scene Text Recognition Mishra, A
Reference 33
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Reference 38
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Reference 41
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Reference 53
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Reference 58
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Reference 64
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Reference 74
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SVTRv2: CTC Beats Encoder-Decoder Models in Scene Text Recognition By varying them, SVTRv2 architectures with different capacities could be obtained and we construct three typical ones, i.e., SVTRv2-T (Tiny), SVTRv2-S (Small), SVTRv2- B (Base)
Reference 75
Source-reported events for the cited work
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Observation d091e104-4629-4483-a89b-8b1736cfa8bb · outbound
SVTRv2: CTC Beats Encoder-Decoder Models in Scene Text Recognition There are three large-scale real- world training sets, i.e., the Real dataset [4], REBU-Syn [37], and Union14M-L (U14M-Train) [25]
Reference 76
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Observation 04a657e7-4fa3-4aec-a624-ca60e7f167dc · outbound
SVTRv2: CTC Beats Encoder-Decoder Models in Scene Text Recognition We first mea- sure the inference time for 3,000 images with a batch size of 1, calculating the average inference time for each text length
Reference 77
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Observation 9f8539bf-cc19-459b-aac4-04fea25834e8 · outbound
SVTRv2: CTC Beats Encoder-Decoder Models in Scene Text Recognition Following this protocol, we also train SVTRv2 and other models on synthetic datasets
Reference 78
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Observation 2d643c90-9c44-451b-8b19-fbcdde44f180 · outbound
SVTRv2: CTC Beats Encoder-Decoder Models in Scene Text Recognition Unresolved cited work
Reference 79
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Observation 30798436-cf19-44cb-a3b0-0fa423966382 · outbound
SVTRv2: CTC Beats Encoder-Decoder Models in Scene Text Recognition However, key factors such as training epochs, data augmentations, input size, and evaluation protocols significantly influence model accuracy
Reference 80
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Observation 59504417-69f4-4fd9-8379-a85cbbf898e5 · inbound
Seeing the Signs: A Survey of Edge-Deployable OCR Models for Billboard Visibility Analysis SVTRv2: CTC Beats Encoder-Decoder Models in Scene Text Recognition
Reference 8
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Observation 49e5492b-d1aa-4d78-8c0e-dbc10116c40d · inbound
Towards Better Dental AI: A Multimodal Benchmark and Instruction Dataset for Panoramic X-ray Analysis SVTRv2: CTC Beats Encoder-Decoder Models in Scene Text Recognition
Reference 21
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