Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Scaling Sparse Fine-Tuning to Large Language Models
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2401.16405.
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 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T15:27:20.778872Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-06-28T17:22:25.160984Z
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 d0c8353a-8f25-443a-a6b7-48986cc73bb3 · inbound
DeFTX: Denoised Sparse Fine-Tuning for Zero-Shot Cross-Lingual Transfer cites this paper.
DeFTX: Denoised Sparse Fine-Tuning for Zero-Shot Cross-Lingual Transfer Scaling Sparse Fine-Tuning to Large Language Models
Reference 5
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:27:20.778872Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d967acb1-ebca-428d-bb44-4eb0e7db472b · inbound
Leave it to the Specialist: Repair Sparse LLMs with Sparse Fine-Tuning via Sparsity Evolution cites this paper.
Leave it to the Specialist: Repair Sparse LLMs with Sparse Fine-Tuning via Sparsity Evolution Scaling Sparse Fine-Tuning to Large Language Models
Reference 2022
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:41:42.470869Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0a4aeed2-eebd-48aa-bb2f-dd851460e72e · inbound
Exploring Sparse Adapters for Scalable Merging of Parameter Efficient Experts cites this paper.
Exploring Sparse Adapters for Scalable Merging of Parameter Efficient Experts Scaling Sparse Fine-Tuning to Large Language Models
Reference 5
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T19:07:33.147050Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ddf44ea6-beb2-429c-9c30-f61b3ae30fb7 · inbound
One Algorithm, Two Goals: Dual Scoring for Parameter and Data Selection in LLM Fine-Tuning cites this paper.
One Algorithm, Two Goals: Dual Scoring for Parameter and Data Selection in LLM Fine-Tuning Scaling Sparse Fine-Tuning to Large Language Models
Reference 49
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T18:51:07.475875Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 445481ba-1715-4662-9a6a-985ff5de22d4 · inbound
When Data Is Scarce: Scaling Sparse Language Models with Repeated Training cites this paper.
When Data Is Scarce: Scaling Sparse Language Models with Repeated Training Scaling Sparse Fine-Tuning to Large Language Models
Reference 4
- Resolution
- verified exact
- arxiv_id, observed 2026-06-28T17:22:25.162752Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation ad14e144-d21f-4ae8-aec8-dae0ee02fcdb · inbound
Super-Tuning: From Activation-Aware Pruning to Sparse Fine-Tuning cites this paper.
Super-Tuning: From Activation-Aware Pruning to Sparse Fine-Tuning Scaling Sparse Fine-Tuning to Large Language Models
Reference 1
- Resolution
- unresolved
- no resolver link, observed 2026-07-13T04:08:39.594367Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.