Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-14T12:22:38.339253Z
Paper Citation Record · LEDGER
As of 21 August 2026, this Paper Citation Record lists 57 of 57 outbound references and 20 inbound Pith citation observations for arXiv:1908.07442.
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 2026-08-14T12:22:38.339253Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-15T16:43:23.846799Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-07-10T19:07:34.961485Z
57 of 57 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 5930914b-ff1b-4309-8faa-e9de2d5cc8c8 · outbound
TabNet: Attentive Interpretable Tabular Learning Deep Speech 2: End-to-End Speech Recognition in English and Mandarin
Reference 1
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TabNet: Attentive Interpretable Tabular Learning Learning to Explain: An Information-Theoretic Perspective on Model Interpretation
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Reference 5
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Reference 6
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TabNet: Attentive Interpretable Tabular Learning AdaNet: Adaptive Structural Learning of Artificial Neural Networks
Reference 7
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TabNet: Attentive Interpretable Tabular Learning Language Modeling with Gated Convolutional Networks
Reference 9
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TabNet: Attentive Interpretable Tabular Learning BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
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Reference 11
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TabNet: Attentive Interpretable Tabular Learning Convolutional Sequence to Sequence Learning
Reference 12
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Reference 13
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Reference 15
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Reference 16
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TabNet: Attentive Interpretable Tabular Learning Unresolved cited work
Reference 17
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Observation ace3136c-f4f7-421a-826f-4909a1009a63 · outbound
TabNet: Attentive Interpretable Tabular Learning Deep Residual Learning for Image Recognition
Reference 18
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Observation a05693b5-312e-4643-827d-f8ba22a10c2c · outbound
TabNet: Attentive Interpretable Tabular Learning Deep Learning Scaling is Predictable, Empirically
Reference 19
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TabNet: Attentive Interpretable Tabular Learning Unresolved cited work
Reference 20
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TabNet: Attentive Interpretable Tabular Learning Train longer, generalize better: closing the generalization gap in large batch training of neural networks
Reference 21
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Observation e4d52edd-f77c-4259-9a32-0bf2f58c4593 · outbound
TabNet: Attentive Interpretable Tabular Learning Compositional Attention Networks for Machine Reasoning
Reference 22
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Observation fa5fba0c-35a0-4c2f-94ad-67bb1526b8c1 · outbound
TabNet: Attentive Interpretable Tabular Learning D.; Peterson , J
Reference 23
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TabNet: Attentive Interpretable Tabular Learning Global Explanations of Neural Networks: Mapping the Landscape of Predictions
Reference 24
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Reference 25
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Reference 26
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Reference 27
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Reference 28
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Observation 248b6412-13ee-4ef8-b76c-1cae492d358f · outbound
TabNet: Attentive Interpretable Tabular Learning P.; and Ba, J
Reference 29
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TabNet: Attentive Interpretable Tabular Learning Unresolved cited work
Reference 30
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Reference 31
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Observation 4b2cd0c2-1a80-473e-80ad-189b988a5a5e · outbound
TabNet: Attentive Interpretable Tabular Learning Consistent Individualized Feature Attribution for Tree Ensembles
Reference 32
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Observation 63f39a67-36a8-4700-be41-a8e27190eefe · outbound
TabNet: Attentive Interpretable Tabular Learning From Softmax to Sparsemax: A Sparse Model of Attention and Multi-Label Classification
Reference 33
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Observation 380134ba-b422-4da1-8cc5-3431e45ad940 · outbound
TabNet: Attentive Interpretable Tabular Learning XGBoost: Scalable GPU Accelerated Learning
Reference 34
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Reference 35
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Reference 36
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Reference 37
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Reference 38
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Observation a63cf638-67ca-4505-9b0b-a3fb28a385f3 · outbound
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Reference 39
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TabNet: Attentive Interpretable Tabular Learning Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks
Reference 40
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Reference 41
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TabNet: Attentive Interpretable Tabular Learning Why Should I Trust You?
Reference 42
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Reference 43
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TabNet: Attentive Interpretable Tabular Learning Learning Important Features Through Propagating Activation Differences
Reference 44
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TabNet: Attentive Interpretable Tabular Learning Axiomatic Attribution for Deep Networks
Reference 45
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TabNet: Attentive Interpretable Tabular Learning Adaptive Neural Trees
Reference 46
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TabNet: Attentive Interpretable Tabular Learning Unresolved cited work
Reference 47
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TabNet: Attentive Interpretable Tabular Learning Selfie: Self-supervised Pretraining for Image Embedding
Reference 48
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TabNet: Attentive Interpretable Tabular Learning Unresolved cited work
Reference 49
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TabNet: Attentive Interpretable Tabular Learning Unresolved cited work
Reference 50
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Reference 51
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Reference 52
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TabNet: Attentive Interpretable Tabular Learning Deep Neural Decision Trees
Reference 53
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Observation 4e039287-a356-42b9-ba1d-c23a1c6cd1af · outbound
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Reference 54
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Reference 55
Source-reported events for the cited work
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Observation 6c550434-0b91-439a-8b14-c6c0379e0c43 · outbound
TabNet: Attentive Interpretable Tabular Learning Unresolved cited work
Reference 56
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Observation 463d0686-0537-4fdc-a4f7-a9739db73ae2 · outbound
TabNet: Attentive Interpretable Tabular Learning , ƾ+_cxs TS5 = s4Pf mٌuUS ? c?& koN U ,HahLc0j5H? |= G54P`X t^ ] D I >J r] P UoF !G mKk۱ǡs#; u][MM4t M;0 n[ = Pi㡻@7;Ҷ 3ə M ;35u=`&ň@o; *hӕ vl.nG T^I= q=1V 4x
Reference 57
Source-reported events for the cited work
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Observation 37ac048a-f89f-4493-b2b5-c774ddf447c8 · inbound
TabTransformer: Tabular Data Modeling Using Contextual Embeddings TabNet: Attentive Interpretable Tabular Learning
Reference 61
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Observation da4a9f6b-ef6d-4d64-bd26-6465a1eb480f · inbound
Model-Agnostic Tagging of Quenched Jets in Heavy-Ion Collisions TabNet: Attentive Interpretable Tabular Learning
Reference 51
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Observation e57fc5c7-966d-423d-bd29-9a86e2c72e21 · inbound
Measurement of the branching fraction, polarization, and time-dependent $CP$ asymmetry in $B^0 \to \rho^+\rho^-$ decays and constraint on the CKM angle $\phi_2$ TabNet: Attentive Interpretable Tabular Learning
Reference 59
Source-reported events for the cited work
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Observation fc0529f6-7eb2-4644-a119-9c77b6be691b · inbound
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Observation 0f5ce4f9-970b-4f6a-b60f-eddc4976e5f0 · inbound
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Observation 5c3904b2-c7ff-4328-8f14-8809c049fd29 · inbound
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Observation d1d9228d-1958-4fc7-ac63-5b1ca2330175 · inbound
AI-Driven Vehicle Condition Monitoring with Cell-Aware Edge Service Migration TabNet: Attentive Interpretable Tabular Learning
Reference 12
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Observation 3dfe9093-d50b-4870-99a0-c503bb16ad5f · inbound
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Reference 30
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Observation 5b5a540d-e9c7-4c2a-9955-bee94c0fdbd6 · inbound
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Reference 47
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PECKER: A Precisely Efficient Critical Knowledge Erasure Recipe For Machine Unlearning in Diffusion Models TabNet: Attentive Interpretable Tabular Learning
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Observation 24e78c9b-9e7a-48cb-b09e-62699940671c · inbound
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Observation 477d6363-1c34-4eaf-b710-32f08d90e4c3 · inbound
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Source-reported events for the cited work
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Observation 2439ccde-24dd-43fc-b243-25c314f6a99b · inbound
ReSS: Learning Reasoning Models for Tabular Data Prediction via Symbolic Scaffold TabNet: Attentive Interpretable Tabular Learning
Reference 4
Source-reported events for the cited work
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Observation 922126a4-e6ae-44c6-882b-2cbb7fd87c46 · inbound
The Chandra-Gaia Catalog of Counterparts: Resolving ambiguous Gaia matches to X-ray sources in the Chandra Source Catalog using Machine Learning TabNet: Attentive Interpretable Tabular Learning
Reference 14
Source-reported events for the cited work
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Observation ccd30eee-fc4d-4031-a7c9-79b15051a17e · inbound
The Importance of Encoder Choice:A Tabular-Image Study TabNet: Attentive Interpretable Tabular Learning
Reference 199
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Observation 9cf55fa9-4295-4598-b201-6f1f351b106f · inbound
Calibrated Tree-Neural Fusion for Fine-Grained Vegetation Community Classification TabNet: Attentive Interpretable Tabular Learning
Reference 2021
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