Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Sparsely Activated Mixture-of-Experts are Robust Multi-Task Learners
As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 13 inbound Pith citation observations for arXiv:2204.07689.
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 2026-08-15T17:14:59.334746Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-02T01:06:24.680720Z
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 969cac5a-0a70-40e6-a89f-5a6bf9602f1f · inbound
An Entailment Tree Generation Approach for Multimodal Multi-Hop Question Answering with Mixture-of-Experts and Iterative Feedback Mechanism cites this paper.
An Entailment Tree Generation Approach for Multimodal Multi-Hop Question Answering with Mixture-of-Experts and Iterative Feedback Mechanism Sparsely Activated Mixture-of-Experts are Robust Multi-Task Learners
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T20:23:34.572697Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 503d0db4-a17b-4be0-9c8e-23bdb81a3caa · inbound
Efficient fine-tuning methodology of text embedding models for information retrieval: contrastive learning penalty (clp) cites this paper.
Efficient fine-tuning methodology of text embedding models for information retrieval: contrastive learning penalty (clp) Sparsely Activated Mixture-of-Experts are Robust Multi-Task Learners
Reference 5
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T05:36:26.171217Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 263ec31d-b428-4805-8b60-79b344d77f15 · inbound
Optimizing Speech Multi-View Feature Fusion through Conditional Computation cites this paper.
Optimizing Speech Multi-View Feature Fusion through Conditional Computation Sparsely Activated Mixture-of-Experts are Robust Multi-Task Learners
Reference 21
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T20:35:13.059024Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2de165aa-f7fe-46de-bdae-f059e9b878dd · inbound
Mixture of Experts (MoE): A Big Data Perspective cites this paper.
Mixture of Experts (MoE): A Big Data Perspective Sparsely Activated Mixture-of-Experts are Robust Multi-Task Learners
Reference 58
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T18:56:37.351216Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fd99d83a-6224-4e57-a4b4-0de329320b5c · inbound
TabICL: A Tabular Foundation Model for In-Context Learning on Large Data cites this paper.
TabICL: A Tabular Foundation Model for In-Context Learning on Large Data Sparsely Activated Mixture-of-Experts are Robust Multi-Task Learners
Reference 205
- Resolution
- verified exact
- arxiv_id, observed 2026-05-20T13:35:02.424469Z
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.
Observation 6b226d63-fc78-4bd6-99b8-debd1fd846c3 · inbound
Compute Can't Handle the Truth: Why Communication Tax Prioritizes Memory and Interconnects in Modern AI Infrastructure cites this paper.
Compute Can't Handle the Truth: Why Communication Tax Prioritizes Memory and Interconnects in Modern AI Infrastructure Sparsely Activated Mixture-of-Experts are Robust Multi-Task Learners
Reference 169
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T18:50:52.735945Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 13ecb848-b814-4af7-853b-f9a0e5895d14 · inbound
Beyond Hard Sharing: Efficient Multi-Task Speech-to-Text Modeling with Supervised Mixture of Experts cites this paper.
Beyond Hard Sharing: Efficient Multi-Task Speech-to-Text Modeling with Supervised Mixture of Experts Sparsely Activated Mixture-of-Experts are Robust Multi-Task Learners
Reference 11
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T01:05:44.679323Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2995607a-3765-4a88-9aec-24356e7eec3d · inbound
NAT: Learning to Attack Neurons for Enhanced Adversarial Transferability cites this paper.
NAT: Learning to Attack Neurons for Enhanced Adversarial Transferability Sparsely Activated Mixture-of-Experts are Robust Multi-Task Learners
Reference 18
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T17:14:59.334746Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 25ce529a-fad7-4218-9af1-0a90828a2deb · inbound
SciGPT: A Large Language Model for Scientific Literature Understanding and Knowledge Discovery cites this paper.
SciGPT: A Large Language Model for Scientific Literature Understanding and Knowledge Discovery Sparsely Activated Mixture-of-Experts are Robust Multi-Task Learners
Reference 13
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T21:37:22.576048Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e7811c61-a20d-4bbc-b274-464d4a9f3f10 · inbound
Joint Learning using Mixture-of-Expert-Based Representation for Speech Enhancement and Robust Emotion Recognition cites this paper.
Joint Learning using Mixture-of-Expert-Based Representation for Speech Enhancement and Robust Emotion Recognition Sparsely Activated Mixture-of-Experts are Robust Multi-Task Learners
Reference 61
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-18T18:11:42.943471Z
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.
Observation 8efd5b96-7eed-43d1-a37a-84fefd652384 · inbound
HMR-Net: Hierarchical Modular Routing for Cross-Domain Object Detection in Aerial Images cites this paper.
HMR-Net: Hierarchical Modular Routing for Cross-Domain Object Detection in Aerial Images Sparsely Activated Mixture-of-Experts are Robust Multi-Task Learners
Reference 60
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-11T11:56:06.186643Z
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.
Observation fb4c8959-8eef-42d6-bd6b-21642c5c0a02 · inbound
FLAME: Adaptive Mixture-of-Experts for Continual Multimodal Multi-Task Learning cites this paper.
FLAME: Adaptive Mixture-of-Experts for Continual Multimodal Multi-Task Learning Sparsely Activated Mixture-of-Experts are Robust Multi-Task Learners
Reference 16
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-12T06:31:25.493705Z
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.
Observation 27d3f887-95cc-4a14-b24f-4a15dff969b5 · inbound
MoRE: A Mixture-of-Experts-Based Task-Adaptive End-to-End Network for Multimodal MRI Reconstruction cites this paper.
MoRE: A Mixture-of-Experts-Based Task-Adaptive End-to-End Network for Multimodal MRI Reconstruction Sparsely Activated Mixture-of-Experts are Robust Multi-Task Learners
Reference 10
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-02T01:06:24.682452Z
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.