Paper Citation Record · LEDGER

MoEfication: Transformer Feed-forward Layers are Mixtures of Experts

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2110.01786.

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

pith.paper-citation-record.v1
2110.01786 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 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 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:41:06.663514Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T23:07:26.908775Z

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 7517892b-b5a4-41a8-821c-fd4d8368920b · inbound

Analytical FFN-to-MoE Restructuring via Activation Pattern Analysis cites this paper.

Analytical FFN-to-MoE Restructuring via Activation Pattern Analysis MoEfication: Transformer Feed-forward Layers are Mixtures of Experts

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-23T04:12:31.089016Z

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 c61f3149-415b-4b46-8d4d-40729afc244e · inbound

STAMImputer: Spatio-Temporal Attention MoE for Traffic Data Imputation cites this paper.

STAMImputer: Spatio-Temporal Attention MoE for Traffic Data Imputation MoEfication: Transformer Feed-forward Layers are Mixtures of Experts

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-07T05:41:06.663514Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 280b87f7-95ae-40a7-a53d-0a4de84dd515 · inbound

Mixture-of-Experts Can Surpass Dense LLMs Under Strictly Equal Resource cites this paper.

Mixture-of-Experts Can Surpass Dense LLMs Under Strictly Equal Resource MoEfication: Transformer Feed-forward Layers are Mixtures of Experts

Reference 47

Resolution: verified exact; arxiv_id, observed 2026-05-22T00:05:47.722120Z

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 f4e1e821-e3a6-47a1-8fe6-7141d0f161eb · inbound

DeepSeek: Paradigm Shifts and Technical Evolution in Large AI Models cites this paper.

DeepSeek: Paradigm Shifts and Technical Evolution in Large AI Models MoEfication: Transformer Feed-forward Layers are Mixtures of Experts

Reference 104

Resolution: unresolved; no resolver link, observed 2026-08-06T17:47:40.269657Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1ce9c816-0aed-46dc-a369-56755392d1ee · inbound

STAR: Rethinking MoE Routing as Structure-Aware Subspace Learning cites this paper.

STAR: Rethinking MoE Routing as Structure-Aware Subspace Learning MoEfication: Transformer Feed-forward Layers are Mixtures of Experts

Reference 33

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T23:07:26.910568Z

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.