Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
A Survey on Efficient Vision-Language Models
As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2504.09724.
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 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T20:43:07.662405Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation c44dce93-6c64-4a7e-b261-b9159e25900e · inbound
Large Language Models for Crash Detection in Video: A Survey of Methods, Datasets, and Challenges cites this paper.
Large Language Models for Crash Detection in Video: A Survey of Methods, Datasets, and Challenges A Survey on Efficient Vision-Language Models
Reference 95
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T20:43:07.662405Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d48a61cf-82d0-496d-a8aa-2c9b0eeed8d6 · inbound
Integration of Object Detection and Small VLMs for Construction Safety Hazard Identification cites this paper.
Integration of Object Detection and Small VLMs for Construction Safety Hazard Identification A Survey on Efficient Vision-Language Models
Reference 52
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T19:20:44.240122Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation ef5461d5-26e8-496c-9e91-64e94d9bf50e · inbound
Efficient Inference for Large Vision-Language Models: Bottlenecks, Techniques, and Prospects cites this paper.
Efficient Inference for Large Vision-Language Models: Bottlenecks, Techniques, and Prospects A Survey on Efficient Vision-Language Models
Reference 9
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T23:45:50.890631Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.