Paper Citation Record · LEDGER

LLMGA: Multimodal Large Language Model based Generation Assistant

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2311.16500.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2311.16500 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T22:08:09.751010Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-07-04T03:09:30.053772Z

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 a94c5c9f-916e-4655-9a85-783320141666 · inbound

Mini-Gemini: Mining the Potential of Multi-modality Vision Language Models cites this paper.

Mini-Gemini: Mining the Potential of Multi-modality Vision Language Models LLMGA: Multimodal Large Language Model based Generation Assistant

Reference 50

Resolution: verified exact; arxiv_id, observed 2026-05-17T07:44:47.458089Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation a9d116fd-90a7-4571-ab66-e47d075dfb72 · inbound

Visual Large Language Models for Generalized and Specialized Applications cites this paper.

Visual Large Language Models for Generalized and Specialized Applications LLMGA: Multimodal Large Language Model based Generation Assistant

Reference 220

Resolution: unresolved; no resolver link, observed 2026-08-10T22:08:09.751010Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 961c91c0-28bc-4eef-a404-c60c07bc67e2 · inbound

Hierarchical Concept-to-Appearance Guidance for Multi-Subject Image Generation cites this paper.

Hierarchical Concept-to-Appearance Guidance for Multi-Subject Image Generation LLMGA: Multimodal Large Language Model based Generation Assistant

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-03T05:01:44.891809Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0a55ebc3-dee9-46b8-b055-2a130ade9151 · inbound

One Image is All You Need: Agentic One-Shot Image Generation via Text-Based World Models for Long-Tail Spatial Perception cites this paper.

One Image is All You Need: Agentic One-Shot Image Generation via Text-Based World Models for Long-Tail Spatial Perception LLMGA: Multimodal Large Language Model based Generation Assistant

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-07-04T03:09:30.056467Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.