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Paper Citation Record · LEDGER

Theory on Mixture-of-Experts in Continual Learning

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 13 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 13 of 13 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 13 of 13 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T16:56:13.047216Z

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 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.

source=pdf_text observed=2026-08-06T16:56:13.047216Z digest=sha256:1dc8bbca2df929c3b792ed21349c78d23a37b6395a8556a0dac4699c9f34e996

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.

source=pdf_text observed=2026-08-06T14:36:34.678116Z digest=sha256:3e39dc40cf0f5f10e177a59a15bf28139c1205b2282c940ca84a5b9c08276e73

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-21T22:16:00.668338Z digest=sha256:06857df3c78c0120c9cdc297fb95a017f5011a67623ba8b73de8d7fb67e15380

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-25T07:35:27.894693Z digest=sha256:10fc3ab5e62a713a5ec051e48271c4400341e003bc70743c739cf41c56dce71a

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.

source=pdf_text observed=2026-08-05T17:19:14.823552Z digest=sha256:71ff445a9ca5212d27e6e57e0cc7fef7dd6cf050c6a3d0f8497f0e9ae015cb4d

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-17T04:55:36.263833Z digest=sha256:71d2e8b45b3be8b733faf92087233eeb7402ae40da426359d58e8a3cff7dcac0

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.

source=pdf_text observed=2026-08-03T04:54:46.682044Z digest=sha256:e3dc45d63725122be1836472b7ea5549a888ccb71c3eca888b9ff7a9afa52918

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-12T04:14:04.151375Z digest=sha256:4cc7f6d5f182bce2afd9bf0dc008b578d45d152b5990fa1372fa5548f1500b11

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-15T02:55:46.616590Z digest=sha256:da41ceef7e47206e0a757bb659385eedf9284b12aee591624fc8c135063dda0a

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-20T20:39:11.311301Z digest=sha256:01148b9a1f02c39133e4c464011e1bdb3f3adb250dead0609020c15f908ba7e8

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-21T07:43:49.653592Z digest=sha256:ff8ec2ba5398077edc04bb4dbf008822e1d19f00632fa4191fb141d348bc0f45

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-07-02T13:01:58.866764Z digest=sha256:247a58476046f1b4d945c1caf31358f6f67a11895bf0644e59f12728c1dfc896

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.

source=pdf_text observed=2026-08-01T14:37:45.457302Z digest=sha256:2a203b5e658cf9b70e12bd0bdb87f00911435f830dd26441ab93ee70cf12f2e2