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Paper Citation Record · LEDGER

Revisiting Reliability in Large-Scale Machine Learning Research Clusters

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2410.21680.

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

pith.paper-citation-record.v1
2410.21680 v2

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 2026-08-09T06:31:02.800959+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T20:45:14.384475Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T05:39:40.613573Z

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 19115bc6-b267-40d8-92ec-218be3535326 · inbound

TSGuard: Automated User-Centric Incident Diagnosis for AI Workloads in the Cloud cites this paper.

TSGuard: Automated User-Centric Incident Diagnosis for AI Workloads in the Cloud Revisiting Reliability in Large-Scale Machine Learning Research Clusters

Reference 27

Resolution
verified exact
arxiv_id, observed 2026-05-19T11:57:16.389846Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-19T11:56:13.633039Z digest=sha256:39479b5445cde5a7bcc82fea4b3434c25534662f229de64413f0285675d0948b

Observation 683fc3bb-8cc3-43fd-968e-9fc6dc965da7 · inbound

Evolving HPC services to enable ML workloads on HPE Cray EX cites this paper.

Evolving HPC services to enable ML workloads on HPE Cray EX Revisiting Reliability in Large-Scale Machine Learning Research Clusters

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-06T20:45:14.384475Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:45:14.384475Z digest=sha256:fc22ad0e4eeb05f302d71dbbd1420b92bd65040b94dc65cdc402a8bd7ba6649e

Observation ccb3be05-62f1-4a8e-bcf7-c57f45da38d8 · inbound

Mycroft: Tracing Dependencies in Collective Communication Towards Reliable LLM Training cites this paper.

Mycroft: Tracing Dependencies in Collective Communication Towards Reliable LLM Training Revisiting Reliability in Large-Scale Machine Learning Research Clusters

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-05T11:18:04.994990Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T11:18:04.994990Z digest=sha256:3a7294da2183a8f38b34826f39c6f4c20faa76dc6d25ee0683b72ed31275f6fd

Observation d996ec45-5560-45db-a776-b3d2ac815a89 · inbound

ARGUS: Production-Scale Tracing and Performance Diagnosis for over 10,000-GPU Clusters cites this paper.

ARGUS: Production-Scale Tracing and Performance Diagnosis for over 10,000-GPU Clusters Revisiting Reliability in Large-Scale Machine Learning Research Clusters

Reference 24

Resolution
verified exact
arxiv_id, observed 2026-07-04T05:39:40.616016Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-26T15:40:58.995852Z digest=sha256:67700306a4fcec000d15094332923cc32db94a15c477f62942cc94c09f461f1b

Observation a28b26a3-9d3f-4f81-a68b-ca3323dfca28 · inbound

NIXT: A NCCL Inspector Exporter Tool for Observability of Collective Communication in Large Model Training cites this paper.

NIXT: A NCCL Inspector Exporter Tool for Observability of Collective Communication in Large Model Training Revisiting Reliability in Large-Scale Machine Learning Research Clusters

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-06T00:12:24.972195Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T00:12:24.972195Z digest=sha256:1b917549934a0c7d8b2f3f12578827904108aa3db134a4bf043e9b5a8f1bb4d1

Observation db99687c-c3a2-42c1-8c99-1b83900c693d · inbound

On Topology's Role in ML Training Performance cites this paper.

On Topology's Role in ML Training Performance Revisiting Reliability in Large-Scale Machine Learning Research Clusters

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-04T22:34:40.145931Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T22:34:40.145931Z digest=sha256:8169ea1fcb7955a7a69d535fd739375a02ef7afa75743ecbf9eb4dee38bb81dc