Paper Citation Record · LEDGER

StableMoE: Stable Routing Strategy for Mixture of Experts

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 inbound Pith citation observations for arXiv:2204.08396.

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

pith.paper-citation-record.v1
2204.08396 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 11 of 11 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:21:58.735353Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T19:58:54.993885Z

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 57db2527-c9f5-4fff-99ea-2cb83b6ef981 · inbound

SEUF: Is Unlearning One Expert Enough for Mixture-of-Experts LLMs? cites this paper.

SEUF: Is Unlearning One Expert Enough for Mixture-of-Experts LLMs? StableMoE: Stable Routing Strategy for Mixture of Experts

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-12T10:57:22.734391Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d149ff03-2ff1-4033-bdc5-b3c1de397a85 · inbound

DOCS: Quantifying Weight Similarity for Deeper Insights into Large Language Models cites this paper.

DOCS: Quantifying Weight Similarity for Deeper Insights into Large Language Models StableMoE: Stable Routing Strategy for Mixture of Experts

Reference 2016

Resolution: unresolved; no resolver link, observed 2026-08-10T11:47:24.804883Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2a12efcc-3319-4d44-8226-507b0cf66763 · 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 StableMoE: Stable Routing Strategy for Mixture of Experts

Reference 98

Resolution: verified exact; arxiv_id, observed 2026-05-20T13:35:02.301486Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation dbbd8ef6-6475-4eaa-b325-d9d7545de565 · inbound

CompeteSMoE -- Statistically Guaranteed Mixture of Experts Training via Competition cites this paper.

CompeteSMoE -- Statistically Guaranteed Mixture of Experts Training via Competition StableMoE: Stable Routing Strategy for Mixture of Experts

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-15T20:21:58.735353Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ca7fc450-2f3c-4e2f-bc11-8b76a80bf606 · inbound

Breaking the MoE LLM Trilemma: Dynamic Expert Clustering with Structured Compression cites this paper.

Breaking the MoE LLM Trilemma: Dynamic Expert Clustering with Structured Compression StableMoE: Stable Routing Strategy for Mixture of Experts

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-04T14:50:26.881379Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation de639413-c480-4c91-98cd-b5d4a8893619 · inbound

Expert-Data Alignment Governs Generation Quality in Decentralized Diffusion Models cites this paper.

Expert-Data Alignment Governs Generation Quality in Decentralized Diffusion Models StableMoE: Stable Routing Strategy for Mixture of Experts

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-03T05:23:11.988438Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e58bc277-6bb2-431a-be3c-18c5544c861c · inbound

Grouter: Decoupling Routing from Representation for Accelerated MoE Training cites this paper.

Grouter: Decoupling Routing from Representation for Accelerated MoE Training StableMoE: Stable Routing Strategy for Mixture of Experts

Reference 2019

Resolution: unresolved; no resolver link, observed 2026-08-02T21:50:57.930883Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 19696695-a587-4b64-b610-c10c461020b8 · inbound

Path-Constrained Mixture-of-Experts cites this paper.

Path-Constrained Mixture-of-Experts StableMoE: Stable Routing Strategy for Mixture of Experts

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-05-15T09:19:54.300642Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 521695dd-dbfa-4cb7-bd39-e3689b42cdc7 · inbound

When Are Experts Misrouted? Counterfactual Routing Analysis in Mixture-of-Experts Language Models cites this paper.

When Are Experts Misrouted? Counterfactual Routing Analysis in Mixture-of-Experts Language Models StableMoE: Stable Routing Strategy for Mixture of Experts

Reference 40

Resolution: verified exact; arxiv_id, observed 2026-05-11T01:50:51.037739Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation e2136dcd-9a53-4190-a347-d345599c2859 · inbound

Routers Learn the Geometry of Their Experts: Geometric Coupling in Sparse Mixture-of-Experts cites this paper.

Routers Learn the Geometry of Their Experts: Geometric Coupling in Sparse Mixture-of-Experts StableMoE: Stable Routing Strategy for Mixture of Experts

Reference 8

Resolution: metadata mismatch; arxiv_id, observed 2026-05-13T05:27:18.809275Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 2eb252a5-a299-4c3d-a521-ae79619d3534 · inbound

Conservation Laws for Modern Neural Architectures cites this paper.

Conservation Laws for Modern Neural Architectures StableMoE: Stable Routing Strategy for Mixture of Experts

Reference 7

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T19:58:54.995522Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.