Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-11T13:46:26.298441Z
Paper Citation Record · LEDGER
As of 17 August 2026, this Paper Citation Record lists 43 of 43 outbound references and 0 inbound Pith citation observations for arXiv:2412.12864.
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 2026-08-11T13:46:26.298441Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+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
43 of 43 outbound references displayed
External citation measurements
No source-named external measurement is stored.
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Geodesic Flow Kernels for Semi-Supervised Learning on Mixed-Variable Tabular Dataset Unresolved cited work
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Geodesic Flow Kernels for Semi-Supervised Learning on Mixed-Variable Tabular Dataset Unresolved cited work
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Geodesic Flow Kernels for Semi-Supervised Learning on Mixed-Variable Tabular Dataset Unresolved cited work
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Geodesic Flow Kernels for Semi-Supervised Learning on Mixed-Variable Tabular Dataset TabGNN: Multiplex Graph Neural Network for Tabular Data Prediction
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Geodesic Flow Kernels for Semi-Supervised Learning on Mixed-Variable Tabular Dataset TAPAS: Weakly Supervised Table Parsing via Pre-training
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Geodesic Flow Kernels for Semi-Supervised Learning on Mixed-Variable Tabular Dataset Unresolved cited work
Reference 14
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Geodesic Flow Kernels for Semi-Supervised Learning on Mixed-Variable Tabular Dataset TabTransformer: Tabular Data Modeling Using Contextual Embeddings
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Geodesic Flow Kernels for Semi-Supervised Learning on Mixed-Variable Tabular Dataset Unresolved cited work
Reference 17
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Geodesic Flow Kernels for Semi-Supervised Learning on Mixed-Variable Tabular Dataset Unresolved cited work
Reference 18
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Observation e7fc0fae-02d0-416e-a168-49e53a5d1a1e · outbound
Geodesic Flow Kernels for Semi-Supervised Learning on Mixed-Variable Tabular Dataset N.; Rainforth, T.; and Gal, Y
Reference 19
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Geodesic Flow Kernels for Semi-Supervised Learning on Mixed-Variable Tabular Dataset \"O .; Loeff, N.; and Pfister, T
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Geodesic Flow Kernels for Semi-Supervised Learning on Mixed-Variable Tabular Dataset Grassmann angles between real or complex subspaces
Reference 23
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Geodesic Flow Kernels for Semi-Supervised Learning on Mixed-Variable Tabular Dataset Unresolved cited work
Reference 24
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Geodesic Flow Kernels for Semi-Supervised Learning on Mixed-Variable Tabular Dataset Representation Learning with Contrastive Predictive Coding
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Geodesic Flow Kernels for Semi-Supervised Learning on Mixed-Variable Tabular Dataset Unresolved cited work
Reference 26
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Geodesic Flow Kernels for Semi-Supervised Learning on Mixed-Variable Tabular Dataset V.; and Gulin, A
Reference 27
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Observation 008b43c3-a74f-4deb-b75a-8b091fce78a7 · outbound
Geodesic Flow Kernels for Semi-Supervised Learning on Mixed-Variable Tabular Dataset Unresolved cited work
Reference 28
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Geodesic Flow Kernels for Semi-Supervised Learning on Mixed-Variable Tabular Dataset Unresolved cited work
Reference 30
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Geodesic Flow Kernels for Semi-Supervised Learning on Mixed-Variable Tabular Dataset Unresolved cited work
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Geodesic Flow Kernels for Semi-Supervised Learning on Mixed-Variable Tabular Dataset Unresolved cited work
Reference 34
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Geodesic Flow Kernels for Semi-Supervised Learning on Mixed-Variable Tabular Dataset Unresolved cited work
Reference 35
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Geodesic Flow Kernels for Semi-Supervised Learning on Mixed-Variable Tabular Dataset Unresolved cited work
Reference 37
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Geodesic Flow Kernels for Semi-Supervised Learning on Mixed-Variable Tabular Dataset Unresolved cited work
Reference 39
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Geodesic Flow Kernels for Semi-Supervised Learning on Mixed-Variable Tabular Dataset Barlow Twins: Self-Supervised Learning via Redundancy Reduction
Reference 40
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Geodesic Flow Kernels for Semi-Supervised Learning on Mixed-Variable Tabular Dataset Unresolved cited work
Reference 41
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