Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
MISC: Ultra-low Bitrate Image Semantic Compression Driven by Large Multimodal Model
As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2402.16749.
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 2026-08-14T06:32:32.682623+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-12T17:00:24.557413Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-23T06:42:39.582007Z
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 6cb4f06c-346d-42c8-ae82-0ee8db0a9ca6 · inbound
LMM-driven Semantic Image-Text Coding for Ultra Low-bitrate Learned Image Compression cites this paper.
LMM-driven Semantic Image-Text Coding for Ultra Low-bitrate Learned Image Compression MISC: Ultra-low Bitrate Image Semantic Compression Driven by Large Multimodal Model
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T17:00:24.557413Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation aedd2b2f-7d38-423d-aede-f3e28d453051 · inbound
UniMIC: Towards Universal Multi-modality Perceptual Image Compression cites this paper.
UniMIC: Towards Universal Multi-modality Perceptual Image Compression MISC: Ultra-low Bitrate Image Semantic Compression Driven by Large Multimodal Model
Reference 39
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T21:13:25.687995Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 931328f9-306c-4f70-8abe-18269610d7ee · inbound
Semantics Disentanglement and Composition for Universal Image Coding with Efficiently LLM Reasoning and Generative Diffusion cites this paper.
Semantics Disentanglement and Composition for Universal Image Coding with Efficiently LLM Reasoning and Generative Diffusion MISC: Ultra-low Bitrate Image Semantic Compression Driven by Large Multimodal Model
Reference 7
- Resolution
- verified exact
- arxiv_id, observed 2026-05-23T06:42:39.584840Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.