Paper Citation Record · LEDGER

Dying ReLU and Initialization: Theory and Numerical Examples

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 13 inbound Pith citation observations for arXiv:1903.06733.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
1903.06733 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 13 of 13 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 13 of 13 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T14:18:41.445166Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-07-04T07:09:38.437806Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
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malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 83e3d629-1fa3-4f97-b01d-6efcce177fd8 · inbound

DeepONet: Learning nonlinear operators for identifying differential equations based on the universal approximation theorem of operators cites this paper.

DeepONet: Learning nonlinear operators for identifying differential equations based on the universal approximation theorem of operators Dying ReLU and Initialization: Theory and Numerical Examples

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-15T03:17:25.310784Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 0e6062f9-d2ed-4555-9e91-8f8cfaf0f8b4 · inbound

How to warm-start your unfolding network cites this paper.

How to warm-start your unfolding network Dying ReLU and Initialization: Theory and Numerical Examples

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-09T14:18:41.445166Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 44655a1b-e57b-4df3-9a57-4a12b0832b92 · inbound

STAR-Pose: Efficient Low-Resolution Video Human Pose Estimation via Spatial-Temporal Adaptive Super-Resolution cites this paper.

STAR-Pose: Efficient Low-Resolution Video Human Pose Estimation via Spatial-Temporal Adaptive Super-Resolution Dying ReLU and Initialization: Theory and Numerical Examples

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-06T23:52:38.970034Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d717e8d7-65e4-46d2-a40c-dc2188495c62 · inbound

TinyProto: Communication-Efficient Federated Learning with Sparse Prototypes in Resource-Constrained Environments cites this paper.

TinyProto: Communication-Efficient Federated Learning with Sparse Prototypes in Resource-Constrained Environments Dying ReLU and Initialization: Theory and Numerical Examples

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-06T19:58:04.270657Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8a2f37cb-ecd2-4520-9ae7-3c96f4226fd0 · inbound

4D-MISR: A unified model for low-dose super-resolution imaging via feature fusion cites this paper.

4D-MISR: A unified model for low-dose super-resolution imaging via feature fusion Dying ReLU and Initialization: Theory and Numerical Examples

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-06T17:49:30.173172Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation df1e04ef-e002-4421-b7b4-dc71ddd32eed · inbound

Optimized Weight Initialization on the Stiefel Manifold for Deep ReLU Neural Networks cites this paper.

Optimized Weight Initialization on the Stiefel Manifold for Deep ReLU Neural Networks Dying ReLU and Initialization: Theory and Numerical Examples

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-05T13:54:40.117887Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ad8daf11-8d6c-4266-a6e0-e8e46ae36001 · inbound

Bug or Feature$^2$: Weight Drift, Activation Sparsity and Spikes cites this paper.

Bug or Feature$^2$: Weight Drift, Activation Sparsity and Spikes Dying ReLU and Initialization: Theory and Numerical Examples

Reference 37

Resolution: verified exact; arxiv_id, observed 2026-05-20T13:48:19.641175Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation ca9507fc-f464-4af7-9f8c-3bd8038cb2a7 · inbound

Bug or Feature$^2$: Weight Drift, Activation Sparsity and Spikes cites this paper.

Bug or Feature$^2$: Weight Drift, Activation Sparsity and Spikes Dying ReLU and Initialization: Theory and Numerical Examples

Reference 37

Resolution: verified exact; arxiv_id, observed 2026-05-22T09:16:19.677693Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 42fc4e89-9e5c-40bf-840e-7b3a9af88f86 · inbound

Preserving Plasticity in Continual Learning via Dynamical Isometry cites this paper.

Preserving Plasticity in Continual Learning via Dynamical Isometry Dying ReLU and Initialization: Theory and Numerical Examples

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-07-03T00:07:28.515553Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 33f75801-431f-47ae-a5e9-74ad184df649 · inbound

NASDAQ: Normalized Observation Space Dynamics-Augmented Q-Learning cites this paper.

NASDAQ: Normalized Observation Space Dynamics-Augmented Q-Learning Dying ReLU and Initialization: Theory and Numerical Examples

Reference 52

Resolution: verified exact; arxiv_id, observed 2026-07-04T06:19:37.636482Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 6899582e-2e48-4637-884b-447fe454293f · inbound

Interpretable Material Spatial Intelligence for Discovery of Governing Microstructural Features cites this paper.

Interpretable Material Spatial Intelligence for Discovery of Governing Microstructural Features Dying ReLU and Initialization: Theory and Numerical Examples

Reference 96

Resolution: malformed identifier; arxiv_id, observed 2026-07-04T07:09:38.439286Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 8fc7cb80-1a3c-44a9-b455-23815fc39d53 · inbound

The Map Behind the Flow: Finite-Step Gradient Descent as a Dynamical System cites this paper.

The Map Behind the Flow: Finite-Step Gradient Descent as a Dynamical System Dying ReLU and Initialization: Theory and Numerical Examples

Reference 40

Resolution: unresolved; no resolver link, observed 2026-07-11T10:24:00.719150Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0e2487fa-eb6a-45b7-87ab-3c7e0e240e6a · inbound

A Counterexample to Fourier Alignment in Single-Neuron Modular Addition cites this paper.

A Counterexample to Fourier Alignment in Single-Neuron Modular Addition Dying ReLU and Initialization: Theory and Numerical Examples

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-08T18:34:18.323218Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.