Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-05T12:01:07.374949Z
Paper Citation Record · LEDGER
As of 8 August 2026, this Paper Citation Record lists 68 of 68 outbound references and 1 inbound Pith citation observation for arXiv:2608.03811.
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 2026-08-05T12:01:07.374949Z
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.
Source: pith, observed 2026-08-05T12:01:08.031332Z
68 of 68 outbound references displayed
External citation measurements
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Observation ebe11061-6c37-4c36-80af-3a418f3c9211 · outbound
UNVaMP: Neural Knowledge Tracing with Variational Regularization of Latent Knowledge Dynamics UNVaMP: Neural Knowledge Tracing with Variational Regularization of Latent Knowledge Dynamics
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UNVaMP: Neural Knowledge Tracing with Variational Regularization of Latent Knowledge Dynamics First, we introduce the UNVaMP configurations and baseline model architec- tures utilized in our experiments
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UNVaMP: Neural Knowledge Tracing with Variational Regularization of Latent Knowledge Dynamics With auxiliary features included, UNVaMP-MIRT demonstrates reduced error in delayed post-tests
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UNVaMP: Neural Knowledge Tracing with Variational Regularization of Latent Knowledge Dynamics Borsboom
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UNVaMP: Neural Knowledge Tracing with Variational Regularization of Latent Knowledge Dynamics Improving Interpretability of Deep Sequential Knowledge Tracing Models with Question-centric Cognitive Representations
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UNVaMP: Neural Knowledge Tracing with Variational Regularization of Latent Knowledge Dynamics Uncertainty-aware Knowledge Tracing
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UNVaMP: Neural Knowledge Tracing with Variational Regularization of Latent Knowledge Dynamics On the Properties of Neural Machine Translation: Encoder-Decoder Approaches
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UNVaMP: Neural Knowledge Tracing with Variational Regularization of Latent Knowledge Dynamics Gervet, K
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UNVaMP: Neural Knowledge Tracing with Variational Regularization of Latent Knowledge Dynamics Kaya and W
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UNVaMP: Neural Knowledge Tracing with Variational Regularization of Latent Knowledge Dynamics How deep is knowledge tracing?
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UNVaMP: Neural Knowledge Tracing with Variational Regularization of Latent Knowledge Dynamics Dynamic Bayesian Item Response Model with Decomposition (D-BIRD): Modeling Cohort and Individual Learning Over Time
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UNVaMP: Neural Knowledge Tracing with Variational Regularization of Latent Knowledge Dynamics A Self-Attentive model for Knowledge Tracing
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UNVaMP: Neural Knowledge Tracing with Variational Regularization of Latent Knowledge Dynamics Pandey and J
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