Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 39 inbound Pith citation observations for arXiv:1505.00853.
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
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T13:12:26.793810Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-07-04T07:59:39.952061Z
0 of 0 outbound references displayed
External citation measurements
No source-named external measurement is stored.
No outbound reference observations are available for this paper version.
Observation b0535707-d486-4789-9966-a54ad8d9a9c7 · inbound
Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks Empirical Evaluation of Rectified Activations in Convolutional Network
Reference 20
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Observation 1b4db50e-4dab-458a-87a2-6cfb672b062d · inbound
Searching for Activation Functions Empirical Evaluation of Rectified Activations in Convolutional Network
Reference 19
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 42dd2a68-6a9b-4654-97b4-aa1f7708130a · inbound
Improving Description-based Person Re-identification by Multi-granularity Image-text Alignments Empirical Evaluation of Rectified Activations in Convolutional Network
Reference 40
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 712e777a-5519-47cf-896d-731bf449799c · inbound
On Reducing Negative Jacobian Determinant of the Deformation Predicted by Deep Registration Networks Empirical Evaluation of Rectified Activations in Convolutional Network
Reference 13
Source-reported events for the cited work
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Observation b7056eac-ec90-4d25-aae5-df685d653223 · inbound
High-throughput Onboard Hyperspectral Image Compression with Ground-based CNN Reconstruction Empirical Evaluation of Rectified Activations in Convolutional Network
Reference 36
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Observation f39dbff7-5fc3-4aae-9822-e59778002cde · inbound
Deep learning in ultrasound imaging Empirical Evaluation of Rectified Activations in Convolutional Network
Reference 100
Source-reported events for the cited work
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Observation 2373ec24-6af5-4ae4-b5a8-3fafa18119dc · inbound
Two-stream Spatiotemporal Feature for Video QA Task Empirical Evaluation of Rectified Activations in Convolutional Network
Reference 30
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Observation fcef068a-c06d-445d-a2ff-5a0cc8538c33 · inbound
Modern CNNs for IoT Based Farms Empirical Evaluation of Rectified Activations in Convolutional Network
Reference 1
Source-reported events for the cited work
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Observation 7a8d1412-be81-45f4-855b-945a566b11d6 · inbound
Discriminative Embedding Autoencoder with a Regressor Feedback for Zero-Shot Learning Empirical Evaluation of Rectified Activations in Convolutional Network
Reference 30
Source-reported events for the cited work
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Observation 2be0079c-6659-4b5a-bc1a-a1a8705bb455 · inbound
Adaptive Reorganization of Neural Pathways for Continual Learning with Spiking Neural Networks Empirical Evaluation of Rectified Activations in Convolutional Network
Reference 67
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Observation 362c2c86-7d3a-41f1-a1fa-055a7f494d0d · inbound
On Divergence Measures for Training GFlowNets Empirical Evaluation of Rectified Activations in Convolutional Network
Reference 98
Source-reported events for the cited work
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Observation 2b25aa18-23a9-43ad-9331-8f4ad4314ff4 · inbound
Gamma-Ray Burst Light Curve Reconstruction: A Comparative Machine and Deep Learning Analysis Empirical Evaluation of Rectified Activations in Convolutional Network
Reference 101
Source-reported events for the cited work
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Observation c1b39a77-2fe8-4bae-957c-e4efa8f52411 · inbound
RC-AutoCalib: An End-to-End Radar-Camera Automatic Calibration Network Empirical Evaluation of Rectified Activations in Convolutional Network
Reference 44
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Observation c60edbae-e9a8-47ef-a12e-6483d2351b24 · inbound
Efficient Neural and Numerical Methods for High-Quality Online Speech Spectrogram Inversion via Gradient Theorem Empirical Evaluation of Rectified Activations in Convolutional Network
Reference 34
Source-reported events for the cited work
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Observation fb03a6c4-fc88-4d29-a963-3ab09b1102fc · inbound
A parametric activation function based on Wendland RBF Empirical Evaluation of Rectified Activations in Convolutional Network
Reference 25
Source-reported events for the cited work
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Observation ac0eae11-0f44-4e2f-8620-ca8055dc0cd0 · inbound
Combolutional Neural Networks Empirical Evaluation of Rectified Activations in Convolutional Network
Reference 26
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bd2514c5-8e79-4d62-ac71-d078f415b486 · inbound
Hybrid activation functions for deep neural networks: S3 and S4 -- a novel approach to gradient flow optimization Empirical Evaluation of Rectified Activations in Convolutional Network
Reference 46
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 469e1a5d-a8c5-48a0-aaac-a3e453c8a96a · inbound
How Would It Sound? Material-Controlled Multimodal Acoustic Profile Generation for Indoor Scenes Empirical Evaluation of Rectified Activations in Convolutional Network
Reference 57
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 15edc10d-f001-46ac-a7aa-e3f7ac3aa06c · inbound
FLUX-Makeup: High-Fidelity, Identity-Consistent, and Robust Makeup Transfer via Diffusion Transformer Empirical Evaluation of Rectified Activations in Convolutional Network
Reference 42
Source-reported events for the cited work
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Observation fc88aabf-a23c-423c-95db-719f177e0e7b · inbound
Disorder-induced stress-flow misalignment in soft glassy materials revealed using multi-directional shear Empirical Evaluation of Rectified Activations in Convolutional Network
Reference 35
Source-reported events for the cited work
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Observation 3f5ba4be-ea3f-44c1-ba8b-346c3b771e10 · inbound
CoDe-NeRF: Neural Rendering via Dynamic Coefficient Decomposition Empirical Evaluation of Rectified Activations in Convolutional Network
Reference 31
Source-reported events for the cited work
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Observation cdf64745-1d6d-448a-85d5-c8d10ed0ba2f · inbound
Transfer Learning for Minimum Operating Voltage Prediction in Advanced Technology Nodes: Leveraging Legacy Data and Silicon Odometer Sensing Empirical Evaluation of Rectified Activations in Convolutional Network
Reference 18
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Observation 6d4b82b1-1513-4557-80c5-c5dae835f562 · inbound
Why Pool When You Can Flow? Active Learning with GFlowNets Empirical Evaluation of Rectified Activations in Convolutional Network
Reference 23
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Observation 7b1c64ec-c28a-4c8c-abaa-92161015358c · inbound
Seeing through Unclear Glass: Occlusion Removal with One Shot Empirical Evaluation of Rectified Activations in Convolutional Network
Reference 42
Source-reported events for the cited work
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Observation d02d90c9-52c1-4878-99e8-6ca6980964b6 · inbound
Hierarchical Bracketing Encodings Work for Dependency Graphs Empirical Evaluation of Rectified Activations in Convolutional Network
Reference 23
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Observation c0267823-3b92-4b14-a1c5-2d15e05cf6e9 · inbound
Activation Function Design Sustains Plasticity in Continual Learning Empirical Evaluation of Rectified Activations in Convolutional Network
Reference 26
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Observation 32f08141-ac1e-4ba3-b007-f61b83cb63f8 · inbound
Score-based Greedy Search for Structure Identification of Partially Observed Linear Causal Models Empirical Evaluation of Rectified Activations in Convolutional Network
Reference 13
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Observation 3fb66022-bf9a-4506-8969-1b1695c8124b · inbound
Kinky vortons in the 2HDM Empirical Evaluation of Rectified Activations in Convolutional Network
Reference 71
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Observation ab9220e1-f53d-4764-b692-a5f5ab45616f · inbound
Functional Similarity Metric for Neural Networks: Overcoming Parametric Ambiguity via Activation Region Analysis Empirical Evaluation of Rectified Activations in Convolutional Network
Reference 38
Source-reported events for the cited work
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Observation b4155fcb-7d2a-4106-97e0-193af7df02cd · inbound
Materialistic RIR: Material Conditioned Realistic RIR Generation Empirical Evaluation of Rectified Activations in Convolutional Network
Reference 79
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Observation 0ef286c7-5668-4e40-a3b9-78f4360ff32f · inbound
Locally Near Optimal Piecewise Linear Regression in High Dimensions via Difference of Max-Affine Functions Empirical Evaluation of Rectified Activations in Convolutional Network
Reference 184
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Observation 0912672b-5106-4875-9ef5-887404af93e9 · inbound
Sparsity Hurts: Simple Linear Adapter Can Boost Generalized Category Discovery Empirical Evaluation of Rectified Activations in Convolutional Network
Reference 36
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Observation df33327b-2492-4042-bb43-bf00ab8abb0c · inbound
Principles and Practice of Deep Representation Learning: or a Mathematical Theory of Memory Empirical Evaluation of Rectified Activations in Convolutional Network
Reference 113
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Observation c1670028-9ddb-490d-8b3f-fc3b98604534 · inbound
Cohort Organized Learning: Clustering Through Agreement Empirical Evaluation of Rectified Activations in Convolutional Network
Reference 19
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Observation f50c2be3-313e-4079-862c-871642a13f16 · inbound
Cross-View Yaw Estimation in Location Uncertainty with Line-Aligning Yaw Scoring Empirical Evaluation of Rectified Activations in Convolutional Network
Reference 40
Source-reported events for the cited work
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Observation b5cb1ac8-9fef-46b9-8906-705d4539681f · inbound
Cross-View Yaw Estimation in Location Uncertainty with Line-Aligning Yaw Scoring Empirical Evaluation of Rectified Activations in Convolutional Network
Reference 40
Source-reported events for the cited work
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Observation 71000626-be1d-40e7-b861-a4851ca1c20b · inbound
Revisiting the Volume Hypothesis Empirical Evaluation of Rectified Activations in Convolutional Network
Reference 44
Source-reported events for the cited work
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Observation 5c99f924-fddd-4b27-9775-eaff70a20ccc · inbound
Knowledge-Assisted Multi-Graph Dependency Learning for Multivariate Time Series Anomaly Detection in Multi-Stage Industrial Processes Empirical Evaluation of Rectified Activations in Convolutional Network
Reference 52
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Unavailable: canonical work link unavailable.
Observation e10aad24-32c7-4ce0-bc6a-55341a6cae88 · inbound
UniRank: Benchmarking Ranking Models for Unified Sequential Modeling and Feature Interaction Empirical Evaluation of Rectified Activations in Convolutional Network
Reference 78
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Unavailable: canonical work link unavailable.