Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
LLM4GEN: Leveraging Semantic Representation of LLMs for Text-to-Image Generation
As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2407.00737.
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 2026-08-17T06:30:58.91139+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-16T00:49:40.329434Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-23T01:35:19.434117Z
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 2770a15b-9161-4cdb-99e3-72a92a1136d2 · inbound
Future Research Avenues for Artificial Intelligence in Digital Gaming: An Exploratory Report cites this paper.
Future Research Avenues for Artificial Intelligence in Digital Gaming: An Exploratory Report LLM4GEN: Leveraging Semantic Representation of LLMs for Text-to-Image Generation
Reference 120
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T12:31:56.530948Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6750fe47-0303-42bc-9b69-7406b385724d · inbound
RectifiedHR: Enable Efficient High-Resolution Synthesis via Energy Rectification cites this paper.
RectifiedHR: Enable Efficient High-Resolution Synthesis via Energy Rectification LLM4GEN: Leveraging Semantic Representation of LLMs for Text-to-Image Generation
Reference 35
- Resolution
- verified exact
- arxiv_id, observed 2026-05-23T01:35:19.438148Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation e65ed4c8-ee80-4bc8-bc02-196c4f23ff6a · inbound
MCCD: Multi-Agent Collaboration-based Compositional Diffusion for Complex Text-to-Image Generation cites this paper.
MCCD: Multi-Agent Collaboration-based Compositional Diffusion for Complex Text-to-Image Generation LLM4GEN: Leveraging Semantic Representation of LLMs for Text-to-Image Generation
Reference 22
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T00:49:40.329434Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e9d11945-1a16-4623-beba-1900f437cd1b · inbound
Exploring the Deep Fusion of Large Language Models and Diffusion Transformers for Text-to-Image Synthesis cites this paper.
Exploring the Deep Fusion of Large Language Models and Diffusion Transformers for Text-to-Image Synthesis LLM4GEN: Leveraging Semantic Representation of LLMs for Text-to-Image Generation
Reference 22
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T21:21:22.405865Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7e1c098a-d8a7-4da8-b075-f87bedb09b00 · inbound
ELiTeFormer: An Efficient Transformer for FPGAs cites this paper.
ELiTeFormer: An Efficient Transformer for FPGAs LLM4GEN: Leveraging Semantic Representation of LLMs for Text-to-Image Generation
Reference 36
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T00:55:09.690245Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.