Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
SLTrain: a sparse plus low-rank approach for parameter and memory efficient pretraining
As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2406.02214.
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 2026-08-15T06:32:42.880941+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-09T15:36:04.579549Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-20T20:28:59.926660Z
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 828a1067-31be-409d-bf22-9cdd11ee32d0 · inbound
CE-LoRA: Computation-Efficient LoRA Fine-Tuning for Language Models cites this paper.
CE-LoRA: Computation-Efficient LoRA Fine-Tuning for Language Models SLTrain: a sparse plus low-rank approach for parameter and memory efficient pretraining
Reference 49
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T15:36:04.579549Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ec760663-73c7-4333-9b9c-47350b3b7ba0 · inbound
CR-Net: Scaling Parameter-Efficient Training with Cross-Layer Low-Rank Structure cites this paper.
CR-Net: Scaling Parameter-Efficient Training with Cross-Layer Low-Rank Structure SLTrain: a sparse plus low-rank approach for parameter and memory efficient pretraining
Reference 19
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T14:52:41.259945Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 1040b1bd-ec08-4815-8228-0ae005492bfe · inbound
Beyond Perplexity: A Geometric and Spectral Study of Low-Rank Pre-Training cites this paper.
Beyond Perplexity: A Geometric and Spectral Study of Low-Rank Pre-Training SLTrain: a sparse plus low-rank approach for parameter and memory efficient pretraining
Reference 6
- Resolution
- verified exact
- arxiv_id, observed 2026-05-14T19:19:23.542591Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 653513c9-48da-42fb-ab60-ef80b9940116 · inbound
Beyond Perplexity: A Geometric and Spectral Study of Low-Rank Pre-Training cites this paper.
Beyond Perplexity: A Geometric and Spectral Study of Low-Rank Pre-Training SLTrain: a sparse plus low-rank approach for parameter and memory efficient pretraining
Reference 6
- Resolution
- verified exact
- arxiv_id, observed 2026-05-20T20:28:59.928172Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 2d914d76-aefd-4b87-b037-c398446fd5b0 · inbound
Super-Tuning: From Activation-Aware Pruning to Sparse Fine-Tuning cites this paper.
Super-Tuning: From Activation-Aware Pruning to Sparse Fine-Tuning SLTrain: a sparse plus low-rank approach for parameter and memory efficient pretraining
Reference 4
- Resolution
- unresolved
- no resolver link, observed 2026-07-13T04:08:39.594367Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.