Paper Citation Record · LEDGER

BaseRT: Advancing Best-in-Class LLM Inference with Apple M5 Neural Accelerators

As of 19 August 2026, this Paper Citation Record lists 20 of 20 outbound references and 0 inbound Pith citation observations for arXiv:2607.19438.

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

pith.paper-citation-record.v1
2607.19438 v1

Coverage vector

measured 20 of 20 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T14:28:22.953274Z

measured 20 of 20 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+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

20 of 20 outbound references displayed

verified exact0
verified fuzzy0
unresolved20
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 917cbc47-a43e-4734-a7d0-317a0af55f1d · outbound

This paper cites The next big shifts in AI workloads and hyperscaler strategies.

BaseRT: Advancing Best-in-Class LLM Inference with Apple M5 Neural Accelerators The next big shifts in AI workloads and hyperscaler strategies

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-01T14:28:21.328408Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ec89ac0a-8a35-4a04-8860-def978c74569 · outbound

This paper cites Gartner predicts 40% of AI data breaches will arise from cross-border GenAI misuse by 2027.

BaseRT: Advancing Best-in-Class LLM Inference with Apple M5 Neural Accelerators Gartner predicts 40% of AI data breaches will arise from cross-border GenAI misuse by 2027

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-01T14:28:21.405227Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b8d16cae-a90e-4947-9fd6-4550add7f33f · outbound

This paper cites Artificial intelligence risk management framework: Generative artificial intelligence profile.

BaseRT: Advancing Best-in-Class LLM Inference with Apple M5 Neural Accelerators Artificial intelligence risk management framework: Generative artificial intelligence profile

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-01T14:28:21.465382Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2bbbdf06-1b63-4ea9-9c99-bd34b524a8be · outbound

This paper cites DaDu-Corki: Algorithm-Architecture Co-Design for Embodied AI-powered Robotic Manipulation.

BaseRT: Advancing Best-in-Class LLM Inference with Apple M5 Neural Accelerators DaDu-Corki: Algorithm-Architecture Co-Design for Embodied AI-powered Robotic Manipulation

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-01T14:28:21.557312Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2e5f5688-65a4-48bc-94c3-454f67032f0e · outbound

This paper cites Agentic Artificial Intelligence: Architectures, Taxonomies, and Evaluation of Large Language Model Agents.arXiv preprint arXiv:2601.12560, 2026.

BaseRT: Advancing Best-in-Class LLM Inference with Apple M5 Neural Accelerators Agentic Artificial Intelligence: Architectures, Taxonomies, and Evaluation of Large Language Model Agents.arXiv preprint arXiv:2601.12560, 2026

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-01T14:28:21.655863Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation afb5a434-8b04-48b2-bb97-fe96bb5fd551 · outbound

This paper cites Edge-First Language Model Inference: Models, Metrics, and Tradeoffs.

BaseRT: Advancing Best-in-Class LLM Inference with Apple M5 Neural Accelerators Edge-First Language Model Inference: Models, Metrics, and Tradeoffs

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-01T14:28:21.783810Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cdee5fd7-9da2-4f2f-bb42-f9a18323f73d · outbound

This paper cites Anthropic Status Page: Incident History.

BaseRT: Advancing Best-in-Class LLM Inference with Apple M5 Neural Accelerators Anthropic Status Page: Incident History

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-01T14:28:21.840714Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5d296c41-3ad4-4dbd-8630-d5b30fb75276 · outbound

This paper cites OpenAI Status Page: Incident History.

BaseRT: Advancing Best-in-Class LLM Inference with Apple M5 Neural Accelerators OpenAI Status Page: Incident History

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-01T14:28:21.920879Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 47beab02-d644-4242-a39a-9bf05919c3bf · outbound

This paper cites The New Economics of Enterprise Technology in an AI World.

BaseRT: Advancing Best-in-Class LLM Inference with Apple M5 Neural Accelerators The New Economics of Enterprise Technology in an AI World

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-01T14:28:21.983462Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1ee459cf-325f-4527-8bb4-8bedba2d21ea · outbound

This paper cites State of Open Source AI 2026.

BaseRT: Advancing Best-in-Class LLM Inference with Apple M5 Neural Accelerators State of Open Source AI 2026

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-01T14:28:22.039407Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 25a12513-3852-4837-af63-0ffead5d081e · outbound

This paper cites Profiling Large Language Model Inference on Apple Silicon: A Quantization Perspective.

BaseRT: Advancing Best-in-Class LLM Inference with Apple M5 Neural Accelerators Profiling Large Language Model Inference on Apple Silicon: A Quantization Perspective

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-01T14:28:22.107077Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c21d9ed7-2c6f-433e-9ef1-34a968b56ec6 · outbound

This paper cites Artificial Intelligence Index Report 2025.

BaseRT: Advancing Best-in-Class LLM Inference with Apple M5 Neural Accelerators Artificial Intelligence Index Report 2025

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-01T14:28:22.184070Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cf982e02-09b5-45f7-b418-2ba08c2490af · outbound

This paper cites BaseRT: Best-in-Class LLM Inference on Apple Silicon via Native Metal.

BaseRT: Advancing Best-in-Class LLM Inference with Apple M5 Neural Accelerators BaseRT: Best-in-Class LLM Inference on Apple Silicon via Native Metal

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-01T14:28:22.244763Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 48685e4e-9170-4b00-9298-14e01d914fcf · outbound

This paper cites llama.cpp: LLM inference in C/C++.

BaseRT: Advancing Best-in-Class LLM Inference with Apple M5 Neural Accelerators llama.cpp: LLM inference in C/C++

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-01T14:28:22.365220Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2db8dbf9-6245-46d7-9356-48a5135b5c48 · outbound

This paper cites MLX: Efficient and flexible machine learning on Apple silicon.https://github.com/ml-explore/mlx, 2023.

BaseRT: Advancing Best-in-Class LLM Inference with Apple M5 Neural Accelerators MLX: Efficient and flexible machine learning on Apple silicon.https://github.com/ml-explore/mlx, 2023

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-01T14:28:22.480763Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 45623c91-08b9-4fcd-9826-7450d398986b · outbound

This paper cites Apple unleashes M5, the next big leap in AI performance for Apple silicon.

BaseRT: Advancing Best-in-Class LLM Inference with Apple M5 Neural Accelerators Apple unleashes M5, the next big leap in AI performance for Apple silicon

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-01T14:28:22.588686Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 222a9cfa-2be7-4510-b16b-ceb7bac097b2 · outbound

This paper cites an unresolved cited work.

BaseRT: Advancing Best-in-Class LLM Inference with Apple M5 Neural Accelerators Unresolved cited work

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-01T14:28:22.644790Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7eb07e12-ee72-4d06-831b-b4c48e1ab3ba · outbound

This paper cites Metal Performance Primitives (MPP) Programming Guide.

BaseRT: Advancing Best-in-Class LLM Inference with Apple M5 Neural Accelerators Metal Performance Primitives (MPP) Programming Guide

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-01T14:28:22.706340Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 01767eae-cea1-472b-9131-b58d8712e579 · outbound

This paper cites Discover Metal 4 tensors and Metal performance primitives.

BaseRT: Advancing Best-in-Class LLM Inference with Apple M5 Neural Accelerators Discover Metal 4 tensors and Metal performance primitives

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-01T14:28:22.845966Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7163ff69-6fc7-41ab-a61b-4a8ff7f07d77 · outbound

This paper cites Metal Shading Language Specification.

BaseRT: Advancing Best-in-Class LLM Inference with Apple M5 Neural Accelerators Metal Shading Language Specification

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-01T14:28:22.953274Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.