Paper Citation Record · LEDGER

Beyond Distillation: Task-level Mixture-of-Experts for Efficient Inference

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2110.03742.

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

pith.paper-citation-record.v1
2110.03742 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T15:37:49.241139Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-05-16T02:33:30.311425Z

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 8e74a2cc-13ad-47bc-8da2-689ab0f5004e · inbound

ST-MoE: Designing Stable and Transferable Sparse Expert Models cites this paper.

ST-MoE: Designing Stable and Transferable Sparse Expert Models Beyond Distillation: Task-level Mixture-of-Experts for Efficient Inference

Reference 165

Resolution: verified exact; arxiv_id, observed 2026-05-12T23:14:25.609853Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 78bbe136-75ab-467b-8006-938b0b82c473 · inbound

MoE-LLaVA: Mixture of Experts for Large Vision-Language Models cites this paper.

MoE-LLaVA: Mixture of Experts for Large Vision-Language Models Beyond Distillation: Task-level Mixture-of-Experts for Efficient Inference

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-16T02:33:30.315177Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation bb245788-58dc-4483-b6cf-e43d528740d1 · inbound

Survey of Specialized Large Language Model cites this paper.

Survey of Specialized Large Language Model Beyond Distillation: Task-level Mixture-of-Experts for Efficient Inference

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-05T15:37:49.241139Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 90ba7110-18e8-4791-8622-17915eee8549 · inbound

SMoES: Soft Modality-Guided Expert Specialization in MoE-VLMs cites this paper.

SMoES: Soft Modality-Guided Expert Specialization in MoE-VLMs Beyond Distillation: Task-level Mixture-of-Experts for Efficient Inference

Reference 26

Resolution: verified exact; arxiv_id, observed 2026-05-11T21:36:18.594042Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.