Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Triple Modality Fusion: Aligning Visual, Textual, and Graph Data with Large Language Models for Multi-Behavior Recommendations
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2410.12228.
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 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-08T05:30:26.134519Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-04T05:49:38.650237Z
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 103c9088-1dfa-47a1-a73f-fa808ad0ed39 · inbound
Graph Foundation Models for Recommendation: A Comprehensive Survey cites this paper.
Graph Foundation Models for Recommendation: A Comprehensive Survey Triple Modality Fusion: Aligning Visual, Textual, and Graph Data with Large Language Models for Multi-Behavior Recommendations
Reference 20
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T05:30:26.134519Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8e825e7e-e9be-487c-92f5-f6d93eb75f15 · inbound
VL-CLIP: Enhancing Multimodal Recommendations via Visual Grounding and LLM-Augmented CLIP Embeddings cites this paper.
VL-CLIP: Enhancing Multimodal Recommendations via Visual Grounding and LLM-Augmented CLIP Embeddings Triple Modality Fusion: Aligning Visual, Textual, and Graph Data with Large Language Models for Multi-Behavior Recommendations
Reference 17
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T15:02:08.404945Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3605cf0a-028a-4303-bdf1-77f84984fbd1 · inbound
Structuring and Tokenizing Distributed User Interest Context for Generative Recommendation cites this paper.
Structuring and Tokenizing Distributed User Interest Context for Generative Recommendation Triple Modality Fusion: Aligning Visual, Textual, and Graph Data with Large Language Models for Multi-Behavior Recommendations
Reference 10
- Resolution
- verified exact
- arxiv_id, observed 2026-07-04T05:49:38.652233Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.