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Paper Citation Record · LEDGER

Understanding the Performance Horizon of the Latest ML Workloads with NonGEMM Workloads

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2404.11788.

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

pith.paper-citation-record.v1
2404.11788 v5

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

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T13:29:57.136914Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-14T22:33:10.434513Z

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 b73fb3e7-9a8e-436e-b74a-583bd20d0ae9 · inbound

COMET: A Framework for Modeling Compound Operation Dataflows with Explicit Collectives cites this paper.

COMET: A Framework for Modeling Compound Operation Dataflows with Explicit Collectives Understanding the Performance Horizon of the Latest ML Workloads with NonGEMM Workloads

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-05T13:29:57.136914Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:29:57.136914Z digest=sha256:5d02d11dd781c7d6c343b624e615f78e1fc0b8068947d4ab1958bdd388f3ec10

Observation 80113e59-7aa8-402e-b00e-425e1f901ac4 · inbound

A Lightweight High-Throughput Collective-Capable NoC for Large-Scale ML Accelerators cites this paper.

A Lightweight High-Throughput Collective-Capable NoC for Large-Scale ML Accelerators Understanding the Performance Horizon of the Latest ML Workloads with NonGEMM Workloads

Reference 6

Resolution
verified exact
arxiv_id, observed 2026-05-14T22:33:10.438457Z

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=2026-05-14T22:32:28.466528Z digest=sha256:502da16a91808dd1b275a8565273f8e6fd5e6b61520351e2ffa5db9a46a70bd1