Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Omni-SMoLA: Boosting Generalist Multimodal Models with Soft Mixture of Low-rank Experts
As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2312.00968.
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 2026-08-15T16:57:13.668718Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-05T00:38:34.088153Z
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 887ed76a-1e23-4718-a58f-6ce467f04336 · inbound
Superposition in Transformers: A Novel Way of Building Mixture of Experts cites this paper.
Superposition in Transformers: A Novel Way of Building Mixture of Experts Omni-SMoLA: Boosting Generalist Multimodal Models with Soft Mixture of Low-rank Experts
Reference 14
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T22:53:58.543636Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9bb880fd-9aa8-4e9c-8958-4149e4a893fa · inbound
UNIFORM: Unifying Knowledge from Large-scale and Diverse Pre-trained Models cites this paper.
UNIFORM: Unifying Knowledge from Large-scale and Diverse Pre-trained Models Omni-SMoLA: Boosting Generalist Multimodal Models with Soft Mixture of Low-rank Experts
Reference 67
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T16:57:13.668718Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ab9fb1f3-b3b5-4d10-aaf2-d2c03cca4f2f · inbound
Relax Within, Balance Across: Geometry-Guided Load Balancing for Vision-Language Mixture-of-Experts cites this paper.
Relax Within, Balance Across: Geometry-Guided Load Balancing for Vision-Language Mixture-of-Experts Omni-SMoLA: Boosting Generalist Multimodal Models with Soft Mixture of Low-rank Experts
Reference 11
- Resolution
- verified exact
- local_arxiv, observed 2026-08-05T00:38:34.138958Z
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.