Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Efficient and Effective Adaptation of Multimodal Foundation Models in Sequential Recommendation
As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2411.02992.
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 2026-08-21T06:32:19.484+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-16T11:58:43.370741Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-05T20:52:16.252010Z
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 a8f87141-5611-4402-88d1-4f8073b255ec · inbound
Teach Me How to Denoise: A Universal Framework for Denoising Multi-modal Recommender Systems via Guided Calibration cites this paper.
Teach Me How to Denoise: A Universal Framework for Denoising Multi-modal Recommender Systems via Guided Calibration Efficient and Effective Adaptation of Multimodal Foundation Models in Sequential Recommendation
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T11:58:43.370741Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation df20a036-0c49-47b4-9967-79fbad5d2642 · inbound
The 1st EReL@MIR Workshop on Efficient Representation Learning for Multimodal Information Retrieval cites this paper.
The 1st EReL@MIR Workshop on Efficient Representation Learning for Multimodal Information Retrieval Efficient and Effective Adaptation of Multimodal Foundation Models in Sequential Recommendation
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T11:43:54.796339Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6575eda3-5343-4888-aed5-b0c5c45f7e7b · inbound
Describe What You See with Multimodal Large Language Models to Enhance Video Recommendations cites this paper.
Describe What You See with Multimodal Large Language Models to Enhance Video Recommendations Efficient and Effective Adaptation of Multimodal Foundation Models in Sequential Recommendation
Reference 6
- Resolution
- verified exact
- local_arxiv, observed 2026-08-05T20:52:16.342181Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.