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Paper Citation Record · LEDGER

Spindle: Efficient Distributed Training of Multi-Task Large Models via Wavefront Scheduling

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2409.03365.

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

pith.paper-citation-record.v1
2409.03365 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-26T19:36:14.248003Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T02:39:24.648418Z

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 5ee2954b-1c13-4091-837a-c0a9116c2e14 · inbound

MegaScale-Omni: A Hyper-Scale, Workload-Resilient System for MultiModal LLM Training in Production cites this paper.

MegaScale-Omni: A Hyper-Scale, Workload-Resilient System for MultiModal LLM Training in Production Spindle: Efficient Distributed Training of Multi-Task Large Models via Wavefront Scheduling

Reference 54

Resolution
verified exact
arxiv_id, observed 2026-05-12T02:06:14.951268Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-12T02:04:07.344134Z digest=sha256:316edf68207dff0dc234590b73d7083646c25fb27eb5c76ad29537a303f9909e

Observation ae228ff4-7e46-47a5-9cce-e0a35acb64f6 · inbound

Mosaic: Towards Efficient Training of Multimodal Models with Spatial Resource Multiplexing cites this paper.

Mosaic: Towards Efficient Training of Multimodal Models with Spatial Resource Multiplexing Spindle: Efficient Distributed Training of Multi-Task Large Models via Wavefront Scheduling

Reference 63

Resolution
verified exact
arxiv_id, observed 2026-05-20T07:53:24.786376Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-20T07:53:11.761843Z digest=sha256:c6edd4a56c2675ac2770f5996c2f68e2fb1ea3ac83d3d980823d7038e805772a

Observation 4c1e587e-1ad4-4546-b6f8-2c6ecc84b06e · inbound

A Readiness-Driven Runtime for Pipeline-Parallel Training under Runtime Variability cites this paper.

A Readiness-Driven Runtime for Pipeline-Parallel Training under Runtime Variability Spindle: Efficient Distributed Training of Multi-Task Large Models via Wavefront Scheduling

Reference 53

Resolution
verified exact
arxiv_id, observed 2026-05-20T07:38:09.525875Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-20T07:35:32.225708Z digest=sha256:dfff2d75e0369872c8412d88b9c8ebb2e5aaafec77a783cbaeb7fd2a199eefdd

Observation 97948ac8-606d-4e84-9d27-a9049e14aa01 · inbound

Pulse: Training Acceleration for Large Diffusion Models with Automatic Pipeline Parallelism cites this paper.

Pulse: Training Acceleration for Large Diffusion Models with Automatic Pipeline Parallelism Spindle: Efficient Distributed Training of Multi-Task Large Models via Wavefront Scheduling

Reference 33

Resolution
metadata mismatch
arxiv_id, observed 2026-07-04T02:39:24.650154Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-06-26T19:36:14.248003Z digest=sha256:2e42fd0e3679fdd2bd99270ddbe1be88a482ca37cae6c29848a967510d5a9153