Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
GIFT-SW: Gaussian noise Injected Fine-Tuning of Salient Weights for LLMs
As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2408.15300.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-07-13T04:08:39.594367Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-19T05:47:07.672283Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
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 523e0051-c5bd-4a44-ad7c-e5e7988f3850 · inbound
From 2:4 to 8:16 sparsity patterns in LLMs for Outliers and Weights with Variance Correction cites this paper.
From 2:4 to 8:16 sparsity patterns in LLMs for Outliers and Weights with Variance Correction GIFT-SW: Gaussian noise Injected Fine-Tuning of Salient Weights for LLMs
Reference 34
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T05:47:07.675126Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 3bb102d2-c0d5-4828-8536-cd6d2b436c5d · inbound
Motivating Next-Gen Accelerators with Flexible (N:M) Activation Sparsity via Benchmarking Lightweight Post-Training Sparsification Approaches cites this paper.
Motivating Next-Gen Accelerators with Flexible (N:M) Activation Sparsity via Benchmarking Lightweight Post-Training Sparsification Approaches GIFT-SW: Gaussian noise Injected Fine-Tuning of Salient Weights for LLMs
Reference 23
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T13:41:25.862900Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation db059159-49d4-450f-af3d-46e5f1e1d03b · inbound
Super-Tuning: From Activation-Aware Pruning to Sparse Fine-Tuning cites this paper.
Super-Tuning: From Activation-Aware Pruning to Sparse Fine-Tuning GIFT-SW: Gaussian noise Injected Fine-Tuning of Salient Weights for LLMs
Reference 19
- Resolution
- unresolved
- no resolver link, observed 2026-07-13T04:08:39.594367Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.