Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
LoRS: Efficient Low-Rank Adaptation for Sparse Large Language Model
As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2501.08582.
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 2026-08-20T06:33:59.587034+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-12T19:55:21.735878Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-06T19:07:37.883698Z
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 cd6d65bd-6adc-481a-9883-618564783632 · inbound
P$^2$ Law: Scaling Law for Post-Training After Model Pruning cites this paper.
P$^2$ Law: Scaling Law for Post-Training After Model Pruning LoRS: Efficient Low-Rank Adaptation for Sparse Large Language Model
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T19:55:21.735878Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bb6b77e1-2ae0-4373-aea3-08aa3735edc8 · 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 LoRS: Efficient Low-Rank Adaptation for Sparse Large Language Model
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:41:43.370243Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c8f65f69-f06c-48e7-ab45-8b75940b8964 · inbound
Exploring Sparse Adapters for Scalable Merging of Parameter Efficient Experts cites this paper.
Exploring Sparse Adapters for Scalable Merging of Parameter Efficient Experts LoRS: Efficient Low-Rank Adaptation for Sparse Large Language Model
Reference 18
- Resolution
- verified exact
- local_arxiv, observed 2026-08-06T19:07:37.936654Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.