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Paper Citation Record · LEDGER

Profiling Large Language Model Inference on Apple Silicon: A Quantization Perspective

As of 12 August 2026, this Paper Citation Record lists 1 of 1 outbound references and 2 inbound Pith citation observations for arXiv:2508.08531.

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

pith.paper-citation-record.v1
2508.08531 v1

Coverage vector

measured 1 of 1 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T21:35:05.014128Z

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T14:28:22.107077Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T13:26:58.380512Z

Reference resolution

1 of 1 outbound references displayed

  • verified exact1
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f62c4c46-a2e3-4b45-9507-cfbc7fcb6347 · outbound

This paper cites A High-Order Low-Order extended moment method for the Vlasov-Darwin particle-in-cell system.

Profiling Large Language Model Inference on Apple Silicon: A Quantization Perspective A High-Order Low-Order extended moment method for the Vlasov-Darwin particle-in-cell system

Reference 1

Resolution
verified exact
local_arxiv, observed 2026-08-05T21:35:05.185985Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-05T21:35:05.014128Z digest=sha256:37fb806994a78715c2c327c6fa0560b7050657f205228375c7779d35af0a5ac3

Pith citing papers

Observation b1dbd8f5-4b68-4369-8d88-56aeb9e39264 · inbound

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

BaseRT: Best-in-Class LLM Inference on Apple Silicon via Native Metal Profiling Large Language Model Inference on Apple Silicon: A Quantization Perspective

Reference 17

Resolution
verified exact
arxiv_id, observed 2026-07-02T13:26:58.382088Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-07-02T13:26:29.517984Z digest=sha256:591cb2c6cfe84e39edce5df5f2553f82921c3486f3ac7be56ad08cf8f3a8bb3c

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

BaseRT: Advancing Best-in-Class LLM Inference with Apple M5 Neural Accelerators cites this paper.

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.

source=pdf_text observed=2026-08-01T14:28:22.107077Z digest=sha256:f49d9d4a3ca3320d9741fd9410783fb99eb61a494ae66c103dfef04c0dcd849e