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Paper Citation Record · LEDGER

MaskMoE: Boosting Token-Level Learning via Routing Mask in Mixture-of-Experts

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2407.09816.

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

pith.paper-citation-record.v1
2407.09816 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T04:41:49.439539Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T21:06:14.775634Z

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 8aea5448-92f2-4b3b-8384-373e52c10ee6 · inbound

Breaking the Stage Barrier: A Novel Single-Stage Approach to Long Context Extension for Large Language Models cites this paper.

Breaking the Stage Barrier: A Novel Single-Stage Approach to Long Context Extension for Large Language Models MaskMoE: Boosting Token-Level Learning via Routing Mask in Mixture-of-Experts

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-11T19:11:06.263124Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T19:11:06.263124Z digest=sha256:fa258b765b24fb0955b169ab47ecc80455c33ae77c76b39103946876db340201

Observation 1904b808-0b12-40dc-9745-fd0543cd9fa8 · inbound

Improving Routing in Sparse Mixture of Experts with Graph of Tokens cites this paper.

Improving Routing in Sparse Mixture of Experts with Graph of Tokens MaskMoE: Boosting Token-Level Learning via Routing Mask in Mixture-of-Experts

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-16T04:41:49.439539Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T04:41:49.439539Z digest=sha256:acd2d4daadfbc837ac35c804ad190384e716fc3ed04eaf3b8b8790f9e4ed061e

Observation ebdbc4fa-4493-4280-9b02-d4dc26ecc4a7 · inbound

Adaptive Inverted-Index Routing for Granular Mixtures-of-Experts cites this paper.

Adaptive Inverted-Index Routing for Granular Mixtures-of-Experts MaskMoE: Boosting Token-Level Learning via Routing Mask in Mixture-of-Experts

Reference 45

Resolution
verified exact
arxiv_id, observed 2026-05-09T06:55:43.487477Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-05-08T17:58:10.323354Z digest=sha256:522b4d00e569f976439433ad546cd5ef8b11086726df39c3870449f8b7eff273

Observation a43cdf0f-afc0-4f12-8a83-7eb00437c1f6 · inbound

BEAM: Binary Expert Activation Masking for Dynamic Routing in MoE cites this paper.

BEAM: Binary Expert Activation Masking for Dynamic Routing in MoE MaskMoE: Boosting Token-Level Learning via Routing Mask in Mixture-of-Experts

Reference 18

Resolution
verified exact
arxiv_id, observed 2026-05-15T01:59:38.658248Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-15T01:59:33.047821Z digest=sha256:ac2e0e87b4a8bb511fc0847d397db37917742f60a51bd43d2e00467de1f009f9

Observation 7c2a98ed-7a81-48f8-b7a7-49fcfc41f7c8 · inbound

Learning Multi-Modal Trajectory Policies for Data-Efficient Robotic Manipulation cites this paper.

Learning Multi-Modal Trajectory Policies for Data-Efficient Robotic Manipulation MaskMoE: Boosting Token-Level Learning via Routing Mask in Mixture-of-Experts

Reference 52

Resolution
verified exact
arxiv_id, observed 2026-07-01T21:06:14.777623Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-28T17:26:36.956666Z digest=sha256:c350bd0559a7987106c32d64a34cc22d9b66f9c19415c72ed20627a2030e3174

Observation 6b5b6735-f117-475f-8cbc-93fe3a4d0f8d · inbound

SpecDrop: Parameter-Free Category-Conditioned Routing for Modular Specialization cites this paper.

SpecDrop: Parameter-Free Category-Conditioned Routing for Modular Specialization MaskMoE: Boosting Token-Level Learning via Routing Mask in Mixture-of-Experts

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-08T00:41:22.260839Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T00:41:22.260839Z digest=sha256:eaffef9c5f2c3afb8f93b18b764844c1d61e5f1fefcbae42e4d4dc30d5a657c9