Paper Citation Record · LEDGER

Lancet: Accelerating Mixture-of-Experts Training via Whole Graph Computation-Communication Overlapping

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2404.19429.

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

pith.paper-citation-record.v1
2404.19429 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T18:56:37.452984Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T03:37:35.980027Z

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 ab3f660d-94a0-4d1a-bc58-05d93a34f53e · inbound

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

Mixture of Experts (MoE): A Big Data Perspective Lancet: Accelerating Mixture-of-Experts Training via Whole Graph Computation-Communication Overlapping

Reference 78

Resolution: unresolved; no resolver link, observed 2026-08-10T18:56:37.452984Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 807ad066-b982-4298-bfcd-89505d2c01f8 · inbound

MoETuner: Optimized Mixture of Expert Serving with Balanced Expert Placement and Token Routing cites this paper.

MoETuner: Optimized Mixture of Expert Serving with Balanced Expert Placement and Token Routing Lancet: Accelerating Mixture-of-Experts Training via Whole Graph Computation-Communication Overlapping

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-08T14:52:07.508141Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 532c7770-3639-4377-87d1-163dafee60e5 · inbound

Sub-MoE: Efficient Mixture-of-Expert LLMs Compression via Subspace Expert Merging cites this paper.

Sub-MoE: Efficient Mixture-of-Expert LLMs Compression via Subspace Expert Merging Lancet: Accelerating Mixture-of-Experts Training via Whole Graph Computation-Communication Overlapping

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-06T21:52:05.302540Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2a1563ef-f73e-45ed-be4b-ca041d32adca · inbound

HyperParallel-MoE: Multi-Core Interleaved Scheduling for Fast MoE Training on Ascend NPUs cites this paper.

HyperParallel-MoE: Multi-Core Interleaved Scheduling for Fast MoE Training on Ascend NPUs Lancet: Accelerating Mixture-of-Experts Training via Whole Graph Computation-Communication Overlapping

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-05-25T02:55:16.762256Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 13cd3fb8-01b5-47fd-bc2f-52305681f9ca · inbound

HyperParallel-MoE: Multi-Core Interleaved Scheduling for Fast MoE Training on Ascend NPUs cites this paper.

HyperParallel-MoE: Multi-Core Interleaved Scheduling for Fast MoE Training on Ascend NPUs Lancet: Accelerating Mixture-of-Experts Training via Whole Graph Computation-Communication Overlapping

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-06-30T15:14:46.912136Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 68e4c7c4-3e8b-4f02-8bca-30c50ac82b1d · inbound

Resource-aware Computation-Communication Overlap for multi-GPU ML Workloads cites this paper.

Resource-aware Computation-Communication Overlap for multi-GPU ML Workloads Lancet: Accelerating Mixture-of-Experts Training via Whole Graph Computation-Communication Overlapping

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-07-03T03:37:35.981362Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 5ce20255-28d2-4458-a19d-de41abc5d6cc · inbound

CLEAR-MoE: Shared-Basis Expert Extraction from Frozen Vision Transformers via Calibration-Driven Layer Selection cites this paper.

CLEAR-MoE: Shared-Basis Expert Extraction from Frozen Vision Transformers via Calibration-Driven Layer Selection Lancet: Accelerating Mixture-of-Experts Training via Whole Graph Computation-Communication Overlapping

Reference 13

Resolution: metadata mismatch; arxiv_id, observed 2026-06-30T03:24:12.963379Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.