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Paper Citation Record · LEDGER

Towards Universal Performance Modeling for Machine Learning Training on Multi-GPU Platforms

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2404.12674.

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

pith.paper-citation-record.v1
2404.12674 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 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 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:00:37.753471Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T05:00:11.992380Z

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 a8ec2b11-debc-489b-9bfb-bfb88e0263e9 · inbound

Profiling and optimization of multi-card GPU machine learning jobs cites this paper.

Profiling and optimization of multi-card GPU machine learning jobs Towards Universal Performance Modeling for Machine Learning Training on Multi-GPU Platforms

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-07T13:00:37.753471Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:00:37.753471Z digest=sha256:23d2b3c04b2a2d27e9460764a7d1ab9609cf90a14130f54d19017d6fab677934

Observation 5a41ad9d-5902-4260-b6a8-de4dc780bad8 · inbound

Terabyte-Scale Analytics in the Blink of an Eye cites this paper.

Terabyte-Scale Analytics in the Blink of an Eye Towards Universal Performance Modeling for Machine Learning Training on Multi-GPU Platforms

Reference 56

Resolution
verified exact
local_arxiv, observed 2026-08-07T05:00:11.997201Z

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=2026-08-07T05:00:09.432261Z digest=sha256:b8a80a62495edbbae87d5ec0a712d22e1ba4ae73985e3988a5410f41bc5e7afd