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Paper Citation Record · LEDGER

LaDiMo: Layer-wise Distillation Inspired MoEfier

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2408.04278.

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

pith.paper-citation-record.v1
2408.04278 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T12:44:35.661106Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T18:25:00.013915Z

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 b1b81c50-da23-4aa4-af36-a7dc2f63ae41 · 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 LaDiMo: Layer-wise Distillation Inspired MoEfier

Reference 80

Resolution
unresolved
no resolver link, observed 2026-08-11T12:44:35.661106Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T12:44:35.661106Z digest=sha256:5422c9db83e5da6019af4f9fe56ffc99a91cad059e5df817445ecb95d1897776

Observation 7393fa41-43ff-4210-b8a6-5806c07fa44d · inbound

Post-Trained MoE Can Skip Half Experts via Self-Distillation cites this paper.

Post-Trained MoE Can Skip Half Experts via Self-Distillation LaDiMo: Layer-wise Distillation Inspired MoEfier

Reference 41

Resolution
verified exact
arxiv_id, observed 2026-05-20T12:03:15.196739Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-20T12:00:35.496822Z digest=sha256:06fd6b853da94bf9d7e4c5f95d273f517201ef50a02a47729708b3aedac3bc1e

Observation ccd89f27-d8d0-4ceb-8f76-9ad15a1c284c · inbound

Post-Trained MoE Can Skip Half Experts via Self-Distillation cites this paper.

Post-Trained MoE Can Skip Half Experts via Self-Distillation LaDiMo: Layer-wise Distillation Inspired MoEfier

Reference 41

Resolution
verified exact
arxiv_id, observed 2026-06-30T18:25:00.015431Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-06-30T18:22:45.702572Z digest=sha256:5695146c20fa1ef04082dbcadb499b3f43f4cda1610e76326c8a99bcc45e2bab