Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Recent Advances and Trends in Multimodal Deep Learning: A Review
As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2105.11087.
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 2026-08-20T06:33:59.587034+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-15T22:33:49.097528Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-07T14:17:09.878663Z
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 2fb254f0-acef-406a-98bb-73945186937c · inbound
A Survey of Recent Advances and Challenges in Deep Audio-Visual Correlation Learning cites this paper.
A Survey of Recent Advances and Challenges in Deep Audio-Visual Correlation Learning Recent Advances and Trends in Multimodal Deep Learning: A Review
Reference 131
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T14:04:00.732879Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ad36eae8-aea3-4660-8249-1fb44aedb67a · inbound
Mantis Shrimp: Exploring Photometric Band Utilization in Computer Vision Networks for Photometric Redshift Estimation cites this paper.
Mantis Shrimp: Exploring Photometric Band Utilization in Computer Vision Networks for Photometric Redshift Estimation Recent Advances and Trends in Multimodal Deep Learning: A Review
Reference 128
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T20:15:40.281111Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4075486f-45bc-4f24-8383-ba04af9358dd · inbound
Embodied Intelligence: The Key to Unblocking Generalized Artificial Intelligence cites this paper.
Embodied Intelligence: The Key to Unblocking Generalized Artificial Intelligence Recent Advances and Trends in Multimodal Deep Learning: A Review
Reference 5
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T22:33:49.097528Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f757014f-0b0a-4701-a91b-844fa6502900 · inbound
MetaSTNet: Multimodal Meta-learning for Cellular Traffic Conformal Prediction cites this paper.
MetaSTNet: Multimodal Meta-learning for Cellular Traffic Conformal Prediction Recent Advances and Trends in Multimodal Deep Learning: A Review
Reference 28
- Resolution
- verified exact
- local_arxiv, observed 2026-08-07T14:17:09.966848Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.