Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 13 inbound Pith citation observations for arXiv:2308.06767.
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 2026-08-22T06:32:14.747728+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-16T05:52:37.710746Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z
0 of 0 outbound references displayed
External citation measurements
23
arxiv_reference, observed 2026-08-05T02:28:24.338817Z
No outbound reference observations are available for this paper version.
Observation 2accfe90-169e-4d53-bff5-aa7d6e7343ed · inbound
Towards Scalable Insect Monitoring: Ultra-Lightweight CNNs as On-Device Triggers for Insect Camera Traps A Survey on Deep Neural Network Pruning-Taxonomy, Comparison, Analysis, and Recommendations
Reference 51
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 417d5f50-f9ad-4d88-8dc8-ec91f55bee7f · inbound
Preserving Deep Representations In One-Shot Pruning: A Hessian-Free Second-Order Optimization Framework A Survey on Deep Neural Network Pruning-Taxonomy, Comparison, Analysis, and Recommendations
Reference 7
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation dd3503d4-76fa-4785-9e83-52d619a677ea · inbound
Lightweight Multiplane Images Network for Real-Time Stereoscopic Conversion from Planar Video A Survey on Deep Neural Network Pruning-Taxonomy, Comparison, Analysis, and Recommendations
Reference 4
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2dbac768-120c-48f6-8558-bc085c9c7a6b · inbound
Test-time Cost-and-Quality Controllable Arbitrary-Scale Super-Resolution with Variable Fourier Components A Survey on Deep Neural Network Pruning-Taxonomy, Comparison, Analysis, and Recommendations
Reference 41
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5be4b879-acd9-46c1-b073-d86f78a6a092 · inbound
A Comparative Study of Pruning Methods in Transformer-based Time Series Forecasting A Survey on Deep Neural Network Pruning-Taxonomy, Comparison, Analysis, and Recommendations
Reference 5
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e75b3578-4b9d-4fb7-9aa1-b401138ed245 · inbound
A Comparative Study of Pruning Methods in Transformer-based Time Series Forecasting A Survey on Deep Neural Network Pruning-Taxonomy, Comparison, Analysis, and Recommendations
Reference 6
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bb1b7e64-a9b1-416b-a933-fe397e38a3df · inbound
Towards Responsible Governing AI Proliferation A Survey on Deep Neural Network Pruning-Taxonomy, Comparison, Analysis, and Recommendations
Reference 55
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 07121399-3a8b-470f-b370-7ead0203ee2a · inbound
Efficient Fine-Tuning and Concept Suppression for Pruned Diffusion Models A Survey on Deep Neural Network Pruning-Taxonomy, Comparison, Analysis, and Recommendations
Reference 3
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f4d4d3ee-e2bf-4e73-a5c8-43de26b3d9a0 · inbound
Grokking vs. Learning: Same Features, Different Encodings A Survey on Deep Neural Network Pruning-Taxonomy, Comparison, Analysis, and Recommendations
Reference 12
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9dc4b57c-54b9-48e4-a385-7d720e75e0b8 · inbound
Forget the Data and Fine-Tuning! Just Fold the Network to Compress A Survey on Deep Neural Network Pruning-Taxonomy, Comparison, Analysis, and Recommendations
Reference 13
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation cc82b7a3-0d96-4e1a-9afb-55e7c7dfc299 · inbound
Hardware/Software Co-Design of RISC-V Extensions for Accelerating Sparse DNNs on FPGAs A Survey on Deep Neural Network Pruning-Taxonomy, Comparison, Analysis, and Recommendations
Reference 8
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 35d5802c-841d-4b34-b42e-b042a4e4aa9c · inbound
Vanishing Contributions: A Unified Framework for Smooth and Iterative Model Compression A Survey on Deep Neural Network Pruning-Taxonomy, Comparison, Analysis, and Recommendations
Reference 3
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 30b4fb0c-0755-4a82-bcac-3fcdb7c60651 · inbound
WIDE: Boosting Adaptive LLM Inference via Token-level Dynamic Width Pruning A Survey on Deep Neural Network Pruning-Taxonomy, Comparison, Analysis, and Recommendations
Reference 2026
Source-reported events for the cited work
Unavailable: canonical work link unavailable.