Paper Citation Record · LEDGER

Sparsely Activated Mixture-of-Experts are Robust Multi-Task Learners

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2204.07689.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2204.07689 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T18:50:52.735945Z

measured 0 of 1 external citation measurements

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 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 2026-08-10T06:31:04.303077+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 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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+00:00.