Paper Citation Record · LEDGER

Theory on Mixture-of-Experts in Continual Learning

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 15 inbound Pith citation observations for arXiv:2406.16437.

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

pith.paper-citation-record.v1
2406.16437 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 15 of 15 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 15 of 15 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T10:14:21.497631Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T13:06:58.490309Z

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 e16a1324-88c0-492b-be00-54154a85934d · inbound

On Zero-Initialized Attention: Optimal Prompt and Gating Factor Estimation cites this paper.

On Zero-Initialized Attention: Optimal Prompt and Gating Factor Estimation Theory on Mixture-of-Experts in Continual Learning

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-09T10:14:21.497631Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 601d9866-9993-4d64-a292-80b0bc3e99a3 · inbound

Continual Adaptation for Autonomous Driving with the Mixture of Progressive Experts Network cites this paper.

Continual Adaptation for Autonomous Driving with the Mixture of Progressive Experts Network Theory on Mixture-of-Experts in Continual Learning

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-08T17:22:21.844545Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3324e47c-1905-4177-bc58-b93b7f318d50 · inbound

Learning, fast and slow: a two-fold algorithm for data-based model adaptation cites this paper.

Learning, fast and slow: a two-fold algorithm for data-based model adaptation Theory on Mixture-of-Experts in Continual Learning

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-06T16:56:13.047216Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9c823260-410f-4a47-bffd-6a1ef00f8768 · inbound

DriftMoE: A Mixture of Experts Approach to Handle Concept Drifts cites this paper.

DriftMoE: A Mixture of Experts Approach to Handle Concept Drifts Theory on Mixture-of-Experts in Continual Learning

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-06T14:36:34.678116Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 543bb187-5b46-4e2c-be36-d78c56097962 · inbound

STM3: Mixture of Multiscale Mamba for Long-Term Spatio-Temporal Time-Series Prediction cites this paper.

STM3: Mixture of Multiscale Mamba for Long-Term Spatio-Temporal Time-Series Prediction Theory on Mixture-of-Experts in Continual Learning

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-05-21T22:20:42.187048Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 22bdfa9b-ff29-4907-bf94-c5ef477ff867 · inbound

STM3: Mixture of Multiscale Mamba for Long-Term Spatio-Temporal Time-Series Prediction cites this paper.

STM3: Mixture of Multiscale Mamba for Long-Term Spatio-Temporal Time-Series Prediction Theory on Mixture-of-Experts in Continual Learning

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-05-25T07:36:41.891120Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 68df0bab-fd88-449f-a713-09f6a8e20ef4 · inbound

Seeing Clearly, Forgetting Deeply: Revisiting Fine-Tuned Video Generators for Driving Simulation cites this paper.

Seeing Clearly, Forgetting Deeply: Revisiting Fine-Tuned Video Generators for Driving Simulation Theory on Mixture-of-Experts in Continual Learning

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-05T17:19:14.823552Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0295e4d7-bf52-435b-ad49-a3b3297fa4be · inbound

Model Predictive Control and Moving Horizon Estimation using Statistically Weighted Data-Based Ensemble Models cites this paper.

Model Predictive Control and Moving Horizon Estimation using Statistically Weighted Data-Based Ensemble Models Theory on Mixture-of-Experts in Continual Learning

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-17T04:59:04.100262Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation bd440bc7-7c20-4864-8df5-131ff1dd8a41 · inbound

PLATE: Plasticity-Tunable Efficient Adapters for Geometry-Aware Continual Learning cites this paper.

PLATE: Plasticity-Tunable Efficient Adapters for Geometry-Aware Continual Learning Theory on Mixture-of-Experts in Continual Learning

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-03T04:54:46.682044Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8bf91395-6ca4-4400-8201-68fc14b18f5e · 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 Theory on Mixture-of-Experts in Continual Learning

Reference 36

Resolution: verified exact; arxiv_id, observed 2026-05-12T06:31:25.523847Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 260e97cd-a405-4c10-9092-69527145b035 · inbound

MoRe: Modular Representations for Principled Continual Representation Learning on Sequential Data cites this paper.

MoRe: Modular Representations for Principled Continual Representation Learning on Sequential Data Theory on Mixture-of-Experts in Continual Learning

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-15T02:59:40.798113Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation a7bd1cff-5127-46f4-9ae9-6630ed7a8369 · inbound

MoRe: Modular Representations for Principled Continual Representation Learning on Sequential Data cites this paper.

MoRe: Modular Representations for Principled Continual Representation Learning on Sequential Data Theory on Mixture-of-Experts in Continual Learning

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-20T20:43:43.497761Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 10fec6b7-9f84-425c-8d92-be1c11fb3c93 · inbound

MoRe: Modular Representations for Principled Continual Representation Learning on Sequential Data cites this paper.

MoRe: Modular Representations for Principled Continual Representation Learning on Sequential Data Theory on Mixture-of-Experts in Continual Learning

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-21T07:44:02.726024Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation d6c4e379-537e-4c11-84bb-22ad9195cbec · inbound

Multi-scale Mixture of World Models for Embodied Agents in Evolving Environments cites this paper.

Multi-scale Mixture of World Models for Embodied Agents in Evolving Environments Theory on Mixture-of-Experts in Continual Learning

Reference 12

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T13:06:58.492512Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 805f5f9f-e2c2-4ebe-9fe0-77ca64e242ab · inbound

Continual Video-MLLM Adaptation over Evolving Domains cites this paper.

Continual Video-MLLM Adaptation over Evolving Domains Theory on Mixture-of-Experts in Continual Learning

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-01T14:37:45.457302Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.