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Paper Citation Record · LEDGER

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

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 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 5 of 5 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 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T21:52:05.302540Z

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 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.

source=pdf_text observed=2026-08-06T21:52:05.302540Z digest=sha256:3173554385321cea6e9c0d2ec58586f1c0f769b1a91fb2fa009776fc2c9b53e9

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

source=pdf_text observed=2026-05-25T02:49:09.109990Z digest=sha256:d1f8f2a46c65de6bcb3a6d6aee1b39ca65e409db69b8e26430b46a74400a7136

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

source=pdf_text observed=2026-06-30T15:10:25.071087Z digest=sha256:124fa89c7a3a5be46bd5c714e5764b1848d55bd869f9545033f23f7996162650

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

source=pdf_text observed=2026-06-27T15:00:07.823857Z digest=sha256:ffabd71665c822e26b2e781521fc3b6bf9ba1358091edaa4db7d649e82b5b4f5

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

source=pdf_text observed=2026-06-30T01:39:29.681621Z digest=sha256:ba0c261c2a6b335f55bfa5b1bcdf9693d2bb5241b0e989b7c339b203e94ae82c