Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
LLMCBench: Benchmarking Large Language Model Compression for Efficient Deployment
As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2410.21352.
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 2026-08-11T06:34:44.6726+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-10T22:06:47.754989Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-07T05:35:01.544324Z
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 58ffab5a-7dc2-41e0-bb9a-b6157fbc4a97 · inbound
First-place Solution for Streetscape Shop Sign Recognition Competition cites this paper.
First-place Solution for Streetscape Shop Sign Recognition Competition LLMCBench: Benchmarking Large Language Model Compression for Efficient Deployment
Reference 87
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T22:06:47.750848Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0884f6ee-fb04-407a-89cb-4e022a104896 · inbound
First-place Solution for Streetscape Shop Sign Recognition Competition cites this paper.
First-place Solution for Streetscape Shop Sign Recognition Competition LLMCBench: Benchmarking Large Language Model Compression for Efficient Deployment
Reference 2024
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T22:06:47.754989Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2bc95866-01f3-46fe-b86c-6e67c75a4723 · inbound
Can Compressed LLMs Truly Act? An Empirical Evaluation of Agentic Capabilities in LLM Compression cites this paper.
Can Compressed LLMs Truly Act? An Empirical Evaluation of Agentic Capabilities in LLM Compression LLMCBench: Benchmarking Large Language Model Compression for Efficient Deployment
Reference 53
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:18:00.343574Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7bb93c8a-aa06-44ee-a5d2-5247173e11e6 · inbound
Event-Priori-Based Vision-Language Model for Efficient Visual Understanding cites this paper.
Event-Priori-Based Vision-Language Model for Efficient Visual Understanding LLMCBench: Benchmarking Large Language Model Compression for Efficient Deployment
Reference 42
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-08-07T05:35:01.553729Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.