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Paper Citation Record · LEDGER

Learning More Generalized Experts by Merging Experts in Mixture-of-Experts

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2405.11530.

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

pith.paper-citation-record.v1
2405.11530 v1

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 2026-08-15T06:32:42.880941+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T20:40:32.513218Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-28T22:52:45.104982Z

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 33a98791-f255-49a7-854b-a8fa29a4fd53 · inbound

ResidualDroppath: Enhancing Feature Reuse over Residual Connections cites this paper.

ResidualDroppath: Enhancing Feature Reuse over Residual Connections Learning More Generalized Experts by Merging Experts in Mixture-of-Experts

Reference 83

Resolution
unresolved
no resolver link, observed 2026-08-12T20:40:32.513218Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T20:40:32.513218Z digest=sha256:6c56ad3df8669d98a859e3bb6faa9b36eacc2d439bbed14d43f708dd872b6726

Observation 9f62f2b9-241b-4e84-9489-3bbf4291d4c4 · inbound

A Survey on Inference Optimization Techniques for Mixture of Experts Models cites this paper.

A Survey on Inference Optimization Techniques for Mixture of Experts Models Learning More Generalized Experts by Merging Experts in Mixture-of-Experts

Reference 133

Resolution
unresolved
no resolver link, observed 2026-08-11T12:44:35.859979Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T12:44:35.859979Z digest=sha256:1b2eb864b218950961a74a5363105d6a993f6b44631a063c35a16dce515d16ba

Observation 2b9c76ff-412c-47db-a205-38ccd8f80098 · inbound

Expert Routing with Synthetic Data for Continual Learning cites this paper.

Expert Routing with Synthetic Data for Continual Learning Learning More Generalized Experts by Merging Experts in Mixture-of-Experts

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-11T05:57:31.214178Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T05:57:31.214178Z digest=sha256:fdcbe4257fa92c5306eeeee7a2855f632fd7769f519719f8b1611ad9e1b04d3f

Observation c06dd743-f450-4fb6-aa02-59c2dcfec2c2 · inbound

Mixture of Experts (MoE): A Big Data Perspective cites this paper.

Mixture of Experts (MoE): A Big Data Perspective Learning More Generalized Experts by Merging Experts in Mixture-of-Experts

Reference 136

Resolution
unresolved
no resolver link, observed 2026-08-10T18:56:37.677732Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T18:56:37.677732Z digest=sha256:ac953ed93a9015ffe39044b4a88e68a676ab19e45d5a180c757ca49c3c6a251c

Observation 0a8670c5-b582-4441-8bea-06a2756cabbf · inbound

Spectral Souping: A Unified Framework for Online Preference Alignment cites this paper.

Spectral Souping: A Unified Framework for Online Preference Alignment Learning More Generalized Experts by Merging Experts in Mixture-of-Experts

Reference 20

Resolution
verified exact
arxiv_id, observed 2026-05-21T07:59:50.992731Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-21T07:54:56.356555Z digest=sha256:8ce6f2eec85eec176cf0b98a9f05e09bb39b853a0165cfe4404a25efa16a45f4

Observation dd9abeb9-e557-41f2-99aa-1b338c9ed586 · inbound

dMoE: dLLMs with Learnable Block Experts cites this paper.

dMoE: dLLMs with Learnable Block Experts Learning More Generalized Experts by Merging Experts in Mixture-of-Experts

Reference 23

Resolution
verified exact
arxiv_id, observed 2026-06-28T22:52:45.107047Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-06-28T22:50:51.900169Z digest=sha256:78bc3de2bac072f72a5d042aabcea4e09d07b210e13915cea15403d59ce48df7