Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Modality-Aware Integration with Large Language Models for Knowledge-based Visual Question Answering
As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2402.12728.
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 2026-08-07T00:42:57.882503Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-01T19:36:08.125297Z
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 7e4e6017-ad7b-494b-b0ad-dd60d76c5e64 · inbound
Enhancing Large Language Models with Reliable Knowledge Graphs cites this paper.
Enhancing Large Language Models with Reliable Knowledge Graphs Modality-Aware Integration with Large Language Models for Knowledge-based Visual Question Answering
Reference 26
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T00:42:57.882503Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 59d06462-9fae-4aec-b7b7-9174518b19e5 · inbound
EHRAG: Bridging Semantic Gaps in Lightweight GraphRAG via Hybrid Hypergraph Construction and Retrieval cites this paper.
EHRAG: Bridging Semantic Gaps in Lightweight GraphRAG via Hybrid Hypergraph Construction and Retrieval Modality-Aware Integration with Large Language Models for Knowledge-based Visual Question Answering
Reference 259
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T05:56:11.526118Z
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 bd25185a-4aab-40c4-b79b-1b75d9b76932 · inbound
MoG: Mixture of Experts for Graph-based Retrieval-Augmented Generation cites this paper.
MoG: Mixture of Experts for Graph-based Retrieval-Augmented Generation Modality-Aware Integration with Large Language Models for Knowledge-based Visual Question Answering
Reference 8
- Resolution
- verified exact
- arxiv_id, observed 2026-07-01T19:36:08.127217Z
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.