Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
What Makes Training Multi-Modal Classification Networks Hard?
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:1905.12681.
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 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T22:45:39.064559Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
28
arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation f86f561d-e8c3-464a-9e50-398c38e040e6 · inbound
MC2SleepNet: Multi-modal Cross-masking with Contrastive Learning for Sleep Stage Classification cites this paper.
MC2SleepNet: Multi-modal Cross-masking with Contrastive Learning for Sleep Stage Classification What Makes Training Multi-Modal Classification Networks Hard?
Reference 36
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T22:45:39.064559Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 39960182-d1cd-4a1d-85cc-d08e3859ac28 · inbound
FLORA: A deep learning approach to predict forest attributes from heterogeneous LiDAR data cites this paper.
FLORA: A deep learning approach to predict forest attributes from heterogeneous LiDAR data What Makes Training Multi-Modal Classification Networks Hard?
Reference 22
- Resolution
- verified exact
- arxiv_id, observed 2026-07-01T05:35:24.986851Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 0d5e63c6-23ba-46c5-80d5-344893ada28d · inbound
Foundation Models for Astrophysics cites this paper.
Foundation Models for Astrophysics What Makes Training Multi-Modal Classification Networks Hard?
Reference 137
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T04:31:49.119702Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.