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Paper Citation Record · LEDGER

SparseLoRA: Accelerating LLM Fine-Tuning with Contextual Sparsity

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2506.16500.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2506.16500 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 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 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T11:47:18.974003Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-05-16T20:18:23.712337Z

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 3812250e-f85e-4288-bc9d-998dc44ea199 · inbound

Selective LoRA for Visual Tokens and Attention Heads cites this paper.

Selective LoRA for Visual Tokens and Attention Heads SparseLoRA: Accelerating LLM Fine-Tuning with Contextual Sparsity

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-05-16T20:18:23.714600Z

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.

source=pdf_text observed=2026-05-16T20:17:07.884892Z digest=sha256:70e91c02edf5dfc24d64c456089d6604f5bd2fd68e89e4e24979120530cbcd93

Observation cb4a4133-1aa6-49b9-9167-76d301d32700 · inbound

Sparsity-Aware Low-Rank Representation for Efficient Fine-Tuning of Large Language Models cites this paper.

Sparsity-Aware Low-Rank Representation for Efficient Fine-Tuning of Large Language Models SparseLoRA: Accelerating LLM Fine-Tuning with Contextual Sparsity

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-03T11:47:18.974003Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T11:47:18.974003Z digest=sha256:c5896dfacf762189279e54843ab830caab4a216a013ff1aca1f681f0e5148e3f