Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
LoSparse: Structured Compression of Large Language Models based on Low-Rank and Sparse Approximation
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2306.11222.
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 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-06-30T01:29:42.919461Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-01T15:25:48.373456Z
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 122aae45-d4ce-48fd-96da-35973f5c747d · inbound
Personal LLM Agents: Insights and Survey about the Capability, Efficiency and Security cites this paper.
Personal LLM Agents: Insights and Survey about the Capability, Efficiency and Security LoSparse: Structured Compression of Large Language Models based on Low-Rank and Sparse Approximation
Reference 261
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T00:57:26.762283Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 2cf99a9b-6c2e-4772-aea1-ecdfcfdb346c · inbound
A Survey on Efficient Inference for Large Language Models cites this paper.
A Survey on Efficient Inference for Large Language Models LoSparse: Structured Compression of Large Language Models based on Low-Rank and Sparse Approximation
Reference 145
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T02:39:33.620829Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation db98a0cf-cba9-4571-a067-a69fa1a3b9db · inbound
When AI Reviews Its Own Code: Recursive Self-Training Collapse in Code LLMs cites this paper.
When AI Reviews Its Own Code: Recursive Self-Training Collapse in Code LLMs LoSparse: Structured Compression of Large Language Models based on Low-Rank and Sparse Approximation
Reference 73
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-01T15:25:48.375234Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.