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 4 inbound Pith citation observations for arXiv:1705.07565.
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 2026-08-06T14:55:28.358996Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-12T16:22:08.944024Z
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 ba51707d-1d0e-4001-afec-7e98356a4118 · inbound
FlashAttention: Fast and Memory-Efficient Exact Attention with IO-Awareness Learning to Prune Deep Neural Networks via Layer-wise Optimal Brain Surgeon
Reference 23
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 2dfd59ac-3a13-481b-b170-b5df1ba0e0c7 · inbound
Efficient Column-Wise N:M Pruning on RISC-V CPU Learning to Prune Deep Neural Networks via Layer-wise Optimal Brain Surgeon
Reference 11
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4290d994-172a-4b45-b8f7-189b17ba2e12 · inbound
Investigating Structural Pruning and Recovery Techniques for Compressing Multimodal Large Language Models: An Empirical Study Learning to Prune Deep Neural Networks via Layer-wise Optimal Brain Surgeon
Reference 11
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0a49f4e1-6b72-438b-ba97-11976f4d6c77 · inbound
Structural Pruning of Large Vision Language Models: A Comprehensive Study on Pruning Dynamics, Recovery, and Data Efficiency Learning to Prune Deep Neural Networks via Layer-wise Optimal Brain Surgeon
Reference 16
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.