Paper Citation Record · LEDGER

MAC Performance and Algorithmic Optimization in Matrix Multiplication Workloads

As of 13 August 2026, this Paper Citation Record lists 12 of 12 outbound references and 0 inbound Pith citation observations for arXiv:2606.01174.

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

pith.paper-citation-record.v1
2606.01174 v1

Coverage vector

measured 12 of 12 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-28T16:52:36.806908Z

measured 12 of 12 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

12 of 12 outbound references displayed

verified exact11
verified fuzzy0
unresolved1
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 3af696a8-f865-4fe1-bd03-211be53fdb9f · outbound

This paper cites Co-Design of the Dense Linea r Algebra Software Stack for Multicore Processors,.

MAC Performance and Algorithmic Optimization in Matrix Multiplication Workloads Co-Design of the Dense Linea r Algebra Software Stack for Multicore Processors,

Reference 1

Resolution: unresolved; no resolver link, observed 2026-06-28T16:52:36.806908Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3faf53b2-4b30-4d1c-8a0a-d7bbf93e956a · outbound

This paper cites Co-Design of the Dense Linear AlgebravSoftware Stack for Multicore Processors.

MAC Performance and Algorithmic Optimization in Matrix Multiplication Workloads Co-Design of the Dense Linear AlgebravSoftware Stack for Multicore Processors

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-06-28T17:02:23.807429Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 3eb840bb-5399-4f03-8472-a5fe5aa6b657 · outbound

This paper cites Cache-aware optimization of matrix multiplication and mat rix factorizations on multicore processors,.

MAC Performance and Algorithmic Optimization in Matrix Multiplication Workloads Cache-aware optimization of matrix multiplication and mat rix factorizations on multicore processors,

Reference 3

Resolution: verified exact; doi, observed 2026-06-28T17:02:23.821050Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 6d55c255-e5da-4492-bc10-31a79d97a07a · outbound

This paper cites Strassen , Gaussian elimination is not optimal , Numerische Mathematik, 13 (1969), pp.

MAC Performance and Algorithmic Optimization in Matrix Multiplication Workloads Strassen , Gaussian elimination is not optimal , Numerische Mathematik, 13 (1969), pp

Reference 4

Resolution: verified exact; doi, observed 2026-06-28T17:02:23.812379Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 6226037b-518c-4c90-b2ce-d1b7e5ab847a · outbound

This paper cites On the number of multiplications necessary to compute certain functions.

MAC Performance and Algorithmic Optimization in Matrix Multiplication Workloads On the number of multiplications necessary to compute certain functions

Reference 5

Resolution: verified exact; doi, observed 2026-06-28T17:02:23.803102Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 10b1020a-43e8-4b07-bd9d-3394f78d6a85 · outbound

This paper cites van de Geijn.

MAC Performance and Algorithmic Optimization in Matrix Multiplication Workloads van de Geijn

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-06-28T17:02:23.810168Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 25c2feec-4ba7-4d1c-bc7c-7863db0c05e2 · outbound

This paper cites an unresolved cited work.

MAC Performance and Algorithmic Optimization in Matrix Multiplication Workloads Unresolved cited work

Reference 7

Resolution: verified exact; doi, observed 2026-06-28T17:02:23.804324Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 6a158e03-4930-4dd1-b322-e13d3b1b395c · outbound

This paper cites Accelerating Matrix Multiplication: A Performance Comparison Between Multi-Core CPU and GPU.

MAC Performance and Algorithmic Optimization in Matrix Multiplication Workloads Accelerating Matrix Multiplication: A Performance Comparison Between Multi-Core CPU and GPU

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-06-28T17:02:23.816997Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation c0ae94cd-965e-4f7e-b7cf-2185083c08a8 · outbound

This paper cites Evaluation of computational and energy performance in matrix multiplication algorithms on CPU and GPU using MKL, cuBLAS and SYCL.

MAC Performance and Algorithmic Optimization in Matrix Multiplication Workloads Evaluation of computational and energy performance in matrix multiplication algorithms on CPU and GPU using MKL, cuBLAS and SYCL

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-06-28T17:02:23.822181Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 2c851982-e594-4912-8ed2-c3414736f50d · outbound

This paper cites an unresolved cited work.

MAC Performance and Algorithmic Optimization in Matrix Multiplication Workloads Unresolved cited work

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-07-01T21:26:16.560109Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation a2d46706-d76f-4eca-874a-8bd2892ff198 · outbound

This paper cites A Proof-of-Concept Open-Source Platform for Neu ral Signal Modulation and Its Applications in IoT and Cyber-Physical Systems.

MAC Performance and Algorithmic Optimization in Matrix Multiplication Workloads A Proof-of-Concept Open-Source Platform for Neu ral Signal Modulation and Its Applications in IoT and Cyber-Physical Systems

Reference 11

Resolution: verified exact; doi, observed 2026-06-28T17:02:23.824885Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 1460c222-a4a0-4743-8ba3-b78ef3e37701 · outbound

This paper cites An Optimised CNN Hardwa re Accelerator Applicable to IoT End Nodes for Disruptive Healthcare.

MAC Performance and Algorithmic Optimization in Matrix Multiplication Workloads An Optimised CNN Hardwa re Accelerator Applicable to IoT End Nodes for Disruptive Healthcare

Reference 12

Resolution: verified exact; doi, observed 2026-06-28T17:02:23.818913Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Pith citing papers

No inbound Pith citation observations are available.