Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
S-STE: Continuous Pruning Function for Efficient 2:4 Sparse Pre-training
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2409.09099.
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 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T05:11:11.555199Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation 638394ea-e553-4992-984f-ebbfa37df50e · inbound
Amber Pruner: Leveraging N:M Activation Sparsity for Efficient Prefill in Large Language Models cites this paper.
Amber Pruner: Leveraging N:M Activation Sparsity for Efficient Prefill in Large Language Models S-STE: Continuous Pruning Function for Efficient 2:4 Sparse Pre-training
Reference 20
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T05:11:11.555199Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation dd3ad6f0-60bc-487b-9b72-cd531a3360b3 · inbound
Vanishing Contributions: A Unified Framework for Smooth and Iterative Model Compression cites this paper.
Vanishing Contributions: A Unified Framework for Smooth and Iterative Model Compression S-STE: Continuous Pruning Function for Efficient 2:4 Sparse Pre-training
Reference 49
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T08:41:07.960703Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.