Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
AVG-LLaVA: An Efficient Large Multimodal Model with Adaptive Visual Granularity
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2410.02745.
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 2026-08-06T20:38:29.091565Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-06-29T23:04:01.937052Z
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 ea5fccea-bfb3-473f-a75a-2b4aa61e554d · inbound
LaCo: Efficient Layer-wise Compression of Visual Tokens for Multimodal Large Language Models cites this paper.
LaCo: Efficient Layer-wise Compression of Visual Tokens for Multimodal Large Language Models AVG-LLaVA: An Efficient Large Multimodal Model with Adaptive Visual Granularity
Reference 23
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T20:38:29.091565Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2e26e75e-4f73-4617-aaa1-66aebe7838e0 · inbound
Toward Native Multimodal Modeling: A Roadmap cites this paper.
Toward Native Multimodal Modeling: A Roadmap AVG-LLaVA: An Efficient Large Multimodal Model with Adaptive Visual Granularity
Reference 237
- Resolution
- verified exact
- arxiv_id, observed 2026-06-29T23:04:01.938595Z
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.