Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-06T12:38:18.609604Z
Paper Citation Record · LEDGER
As of 8 August 2026, this Paper Citation Record lists 78 of 78 outbound references and 0 inbound Pith citation observations for arXiv:2507.21648.
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 2026-08-06T12:38:18.609604Z
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
78 of 78 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 797961ba-a6a0-46f6-b422-1f742393e7f1 · outbound
Hyperbolic Genome Embeddings Topological implications of negative curvature for biological and social networks
Reference 1
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Hyperbolic Genome Embeddings Effective gene expression prediction from sequence by integrating long-range interactions
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Hyperbolic Genome Embeddings Fully hyperbolic convolutional neural networks for computer vision
Reference 3
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Hyperbolic Genome Embeddings Riemannian adaptive optimization methods
Reference 4
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Hyperbolic Genome Embeddings Hyperbolicity measures democracy in real-world networks
Reference 5
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Hyperbolic Genome Embeddings Transposable elements and the evolution of eukaryotic complexity
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Hyperbolic Genome Embeddings High-coverage whole-genome sequencing of the expanded 1000 genomes project cohort including 602 trios
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Hyperbolic Genome Embeddings From trees to continuous embeddings and back: Hyperbolic hierarchical clustering
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Hyperbolic Genome Embeddings Low-dimensional hyperbolic knowledge graph embeddings
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Hyperbolic Genome Embeddings Average gromov hyperbolicity and the parisi ansatz
Reference 12
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Hyperbolic Genome Embeddings Variational Combinatorial Sequential Monte Carlo for Bayesian Phylogenetics in Hyperbolic Space
Reference 13
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Hyperbolic Genome Embeddings A sequence-based global map of regulatory activity for deciphering human genetics
Reference 14
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Hyperbolic Genome Embeddings Fully hyperbolic neural networks
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Hyperbolic Genome Embeddings Hyperbolic pre-trained language model
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Hyperbolic Genome Embeddings Fast hyperboloid decision tree algorithms
Reference 17
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Hyperbolic Genome Embeddings Manify: A Python Library for Learning Non-Euclidean Representations
Reference 18
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Hyperbolic Genome Embeddings On computing the gromov hyperbolicity
Reference 19
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Hyperbolic Genome Embeddings To Transformers and Beyond: Large Language Models for the Genome
Reference 20
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Hyperbolic Genome Embeddings Distribution and intensity of constraint in mammalian genomic sequence
Reference 21
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Hyperbolic Genome Embeddings Neural distance embeddings for biological sequences
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Hyperbolic Genome Embeddings Nucleotide transformer: building and evaluating robust foundation models for human genomics
Reference 23
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Hyperbolic Genome Embeddings Epd and epdnew, high-quality promoter resources in the next-generation sequencing era
Reference 24
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Hyperbolic Genome Embeddings Roles of transposable elements in the different layers of gene expression regulation
Reference 25
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Hyperbolic Genome Embeddings Sequence basis of transcription initiation in the human genome
Reference 26
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Hyperbolic Genome Embeddings The regulated retrotransposon transcriptome of mammalian cells
Reference 27
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Hyperbolic Genome Embeddings Computing the gromov hyperbolicity of a discrete metric space
Reference 28
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Hyperbolic Genome Embeddings Gencode reference annotation for the human and mouse genomes
Reference 29
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Reference 30
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Hyperbolic Genome Embeddings Genomic benchmarks: a collection of datasets for genomic sequence classification
Reference 31
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Hyperbolic Genome Embeddings Hyperbolic groups
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Hyperbolic Genome Embeddings Mamba: Linear-time sequence modeling with selective state spaces
Reference 33
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Hyperbolic Genome Embeddings Exploring network structure, dynamics, and function using networkx
Reference 35
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Hyperbolic Genome Embeddings Mobilization of transposable elements by environmental and endogenous factors
Reference 36
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Hyperbolic Genome Embeddings Capturing implicit hierarchical structure in 3d biomedical images with self-supervised hyperbolic representations
Reference 38
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Hyperbolic Genome Embeddings Ete 3: reconstruction, analysis, and visualization of phylogenomic data
Reference 39
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Hyperbolic Genome Embeddings Visualising very large phylogenetic trees in three dimensional hyperbolic space
Reference 40
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Hyperbolic Genome Embeddings Dnabert: pre-trained bidirectional encoder representations from transformers model for dna-language in genome
Reference 41
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Reference 42
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Reference 43
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Hyperbolic Genome Embeddings Transposable elements: a common feature of neurodegenerative disorders
Reference 44
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Hyperbolic Genome Embeddings Controlling the fr \'e chet variance improves batch normalization on the symmetric positive definite manifold
Reference 46
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Hyperbolic Genome Embeddings Hyperbolic visual embedding learning for zero-shot recognition
Reference 48
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Hyperbolic Genome Embeddings Evolution Is All You Need: Phylogenetic Augmentation for Contrastive Learning
Reference 51
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Reference 52
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Hyperbolic Genome Embeddings Continuous hierarchical representations with poincar \'e variational auto-encoders
Reference 53
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Hyperbolic Genome Embeddings A wrapped normal distribution on hyperbolic space for gradient-based learning
Reference 54
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Reference 55
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Hyperbolic Genome Embeddings Autoencoding Hyperbolic Representation for Adversarial Generation
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Reference 65
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Reference 66
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Hyperbolic Genome Embeddings Complex hierarchical structures in single-cell genomics data unveiled by deep hyperbolic manifold learning
Reference 67
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Reference 68
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Reference 70
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Hyperbolic Genome Embeddings Sequence-based modeling of three-dimensional genome architecture from kilobase to chromosome scale
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