Paper Citation Record · LEDGER

Sparse MoE as the New Dropout: Scaling Dense and Self-Slimmable Transformers

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2303.01610.

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

pith.paper-citation-record.v1
2303.01610 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 2026-08-13T06:32:02.005865+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-28T06:50:32.988192Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T07:36:45.068720Z

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 45c57669-9590-4066-ae95-91025265d604 · inbound

Lynx: Enabling Efficient MoE Inference through Dynamic Batch-Aware Expert Selection cites this paper.

Lynx: Enabling Efficient MoE Inference through Dynamic Batch-Aware Expert Selection Sparse MoE as the New Dropout: Scaling Dense and Self-Slimmable Transformers

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-05-23T17:05:42.959462Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 02eadedf-8094-48b4-95c6-01a92aa636af · inbound

FLEX-MoE: Federated Mixture-of-Experts with Load-balanced Expert Assignment for Edge Computing cites this paper.

FLEX-MoE: Federated Mixture-of-Experts with Load-balanced Expert Assignment for Edge Computing Sparse MoE as the New Dropout: Scaling Dense and Self-Slimmable Transformers

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-05-21T15:40:18.946002Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation b5b9c3f2-51bd-4a1a-8ddd-5db441957527 · inbound

Does a Global Perspective Help Prune Sparse MoEs Elegantly? cites this paper.

Does a Global Perspective Help Prune Sparse MoEs Elegantly? Sparse MoE as the New Dropout: Scaling Dense and Self-Slimmable Transformers

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-10T23:30:50.790094Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 2d6280d1-f602-4be8-a4c8-a5cde62e664a · inbound

DLLG: Dynamic Logit-Level Gating of LLM Experts cites this paper.

DLLG: Dynamic Logit-Level Gating of LLM Experts Sparse MoE as the New Dropout: Scaling Dense and Self-Slimmable Transformers

Reference 44

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T07:36:45.069997Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.