Paper Citation Record · LEDGER

SLTrain: a sparse plus low-rank approach for parameter and memory efficient pretraining

As of 10 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.

pith.paper-citation-record.v1
2406.02214 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T15:36:04.579549Z

measured 0 of 1 external citation measurements

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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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.