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Paper Citation Record · LEDGER

Understanding Data Movement in AMD Multi-GPU Systems with Infinity Fabric

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2410.00801.

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

pith.paper-citation-record.v1
2410.00801 v1

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 2026-08-08T19:49:45.844138Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T20:23:51.748994Z

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 7ff6b785-74f8-463a-9eeb-e14d0d79de7b · inbound

Apple vs. Oranges: Evaluating the Apple Silicon M-Series SoCs for HPC Performance and Efficiency cites this paper.

Apple vs. Oranges: Evaluating the Apple Silicon M-Series SoCs for HPC Performance and Efficiency Understanding Data Movement in AMD Multi-GPU Systems with Infinity Fabric

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-08T19:49:45.844138Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T19:49:45.844138Z digest=sha256:2c817ff864af2f7ef0481856770472eaba30aa10a5b57b8e8c78d28dec5de44e

Observation 634d79fa-51ef-4433-8f54-6e33fd1a09c3 · inbound

Characterizing Compute-Communication Overlap in GPU-Accelerated Distributed Deep Learning: Performance and Power Implications cites this paper.

Characterizing Compute-Communication Overlap in GPU-Accelerated Distributed Deep Learning: Performance and Power Implications Understanding Data Movement in AMD Multi-GPU Systems with Infinity Fabric

Reference 31

Resolution
verified exact
local_arxiv, observed 2026-08-06T20:23:51.798860Z

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=2026-08-06T20:23:49.131054Z digest=sha256:057fff88ca96d588ebe96c369308cd82ef6f76eeef3e43d3c5346b2e1df3d5db