Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2405.16325.
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 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-09T17:26:45.465953Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-06-29T19:43:54.742148Z
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 7657d52f-6d28-451b-b329-5051d37c9f0c · inbound
HASSLE-free: A unified Framework for Sparse plus Low-Rank Matrix Decomposition for LLMs SLoPe: Double-Pruned Sparse Plus Lazy Low-Rank Adapter Pretraining of LLMs
Reference 34
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation dd92140d-b171-44ce-8c9d-0eb824125b5c · inbound
Amber Pruner: Leveraging N:M Activation Sparsity for Efficient Prefill in Large Language Models SLoPe: Double-Pruned Sparse Plus Lazy Low-Rank Adapter Pretraining of LLMs
Reference 38
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 78eec323-f019-409f-bcdc-798b2dbb9949 · inbound
RT-Lynx: Putting the GEMM Sparsity In a Right Way for Diffusion Models SLoPe: Double-Pruned Sparse Plus Lazy Low-Rank Adapter Pretraining of LLMs
Reference 46
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 c1eb0afa-b30c-49bd-b6dd-754ccc0131fa · inbound
ELSAA: Efficient Low-Rank and Sparse Attention Approximation for Training Transformers SLoPe: Double-Pruned Sparse Plus Lazy Low-Rank Adapter Pretraining of LLMs
Reference 35
Source-reported events for the cited work
Unavailable: canonical work link unavailable.