Paper Citation Record · LEDGER

Silicon Showdown: Performance, Efficiency, and Ecosystem Barriers in Consumer-Grade LLM Inference

As of 5 August 2026, this Paper Citation Record lists 14 of 14 outbound references and 1 inbound Pith citation observation for arXiv:2605.00519.

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

pith.paper-citation-record.v1
2605.00519 v2

Coverage vector

measured 14 of 14 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-09T15:23:21.456692Z

measured 15 of 15 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T15:25:49.388574Z

measured 1 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T02:28:24.338817Z

Reference resolution

14 of 14 outbound references displayed

verified exact7
verified fuzzy1
unresolved6
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

0
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation 16e16dc4-5b76-47fb-ba2b-1beef79e4a0b · outbound

This paper cites an unresolved cited work.

Silicon Showdown: Performance, Efficiency, and Ecosystem Barriers in Consumer-Grade LLM Inference Unresolved cited work

Reference 1

Resolution: unresolved; raw_fallback, observed 2026-05-26T01:16:27.980043Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 91dd9e9d-dc0b-43c6-bfd6-49d182fd7050 · outbound

This paper cites DeepSeek-V3 Technical Report.

Silicon Showdown: Performance, Efficiency, and Ecosystem Barriers in Consumer-Grade LLM Inference DeepSeek-V3 Technical Report

Reference 2

Resolution: verified exact; local_arxiv, observed 2026-05-11T16:41:15.307391Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation c2b241cf-53af-400b-8c37-e7aa4d66ff15 · outbound

This paper cites an unresolved cited work.

Silicon Showdown: Performance, Efficiency, and Ecosystem Barriers in Consumer-Grade LLM Inference Unresolved cited work

Reference 3

Resolution: unresolved; raw_fallback, observed 2026-05-26T01:16:27.962130Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 8a859743-5873-47b4-aadc-860f4a6fb46a · outbound

This paper cites an unresolved cited work.

Silicon Showdown: Performance, Efficiency, and Ecosystem Barriers in Consumer-Grade LLM Inference Unresolved cited work

Reference 4

Resolution: unresolved; raw_fallback, observed 2026-05-26T01:16:27.958092Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation f1ed5c48-160c-4c98-902d-56bb7785ff7f · outbound

This paper cites GLM-4.5: Agentic, Reasoning, and Coding (ARC) Foundation Models.

Silicon Showdown: Performance, Efficiency, and Ecosystem Barriers in Consumer-Grade LLM Inference GLM-4.5: Agentic, Reasoning, and Coding (ARC) Foundation Models

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-11T17:50:08.654972Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation b15d9559-48fe-4338-b7bb-f5e84aac867b · outbound

This paper cites an unresolved cited work.

Silicon Showdown: Performance, Efficiency, and Ecosystem Barriers in Consumer-Grade LLM Inference Unresolved cited work

Reference 6

Resolution: unresolved; raw_fallback, observed 2026-05-26T01:16:27.976400Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation e09ce1cb-c9df-48ce-bcec-b1abddffe5b7 · outbound

This paper cites Efficient Memory Management for Large Language Model Serving with PagedAttention.

Silicon Showdown: Performance, Efficiency, and Ecosystem Barriers in Consumer-Grade LLM Inference Efficient Memory Management for Large Language Model Serving with PagedAttention

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-12T15:03:08.022500Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 08a8913a-8623-4dc5-b671-d77e7296d787 · outbound

This paper cites The Llama 3 Herd of Models.

Silicon Showdown: Performance, Efficiency, and Ecosystem Barriers in Consumer-Grade LLM Inference The Llama 3 Herd of Models

Reference 8

Resolution: verified exact; local_arxiv, observed 2026-05-11T16:41:15.284770Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 2d860260-17eb-4cf4-a15b-3b326f65f93e · outbound

This paper cites an unresolved cited work.

Silicon Showdown: Performance, Efficiency, and Ecosystem Barriers in Consumer-Grade LLM Inference Unresolved cited work

Reference 9

Resolution: unresolved; raw_fallback, observed 2026-05-26T01:16:27.966157Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation ebe94426-9731-4f0d-ac7a-75770dd4558b · outbound

This paper cites Pretraining large language models with NVFP4.

Silicon Showdown: Performance, Efficiency, and Ecosystem Barriers in Consumer-Grade LLM Inference Pretraining large language models with NVFP4

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-11T16:41:15.320089Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 4e9dbe72-22b0-46ac-a7a9-e9590176ef20 · outbound

This paper cites Production-Grade Local LLM Inference on Apple Silicon: A Comparative Study of.

Silicon Showdown: Performance, Efficiency, and Ecosystem Barriers in Consumer-Grade LLM Inference Production-Grade Local LLM Inference on Apple Silicon: A Comparative Study of

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-05-11T16:41:15.279830Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation ab54021f-8678-4c62-beaa-a378cb8c62ac · outbound

This paper cites MLPerf Inference Benchmark.

Silicon Showdown: Performance, Efficiency, and Ecosystem Barriers in Consumer-Grade LLM Inference MLPerf Inference Benchmark

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-11T16:41:15.312414Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation d4e6b698-27b0-4b1c-a516-2c277573f6e9 · outbound

This paper cites an unresolved cited work.

Silicon Showdown: Performance, Efficiency, and Ecosystem Barriers in Consumer-Grade LLM Inference Unresolved cited work

Reference 13

Resolution: unresolved; raw_fallback, observed 2026-05-26T01:16:27.953343Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 71bbdf5f-14bd-4b47-8870-5217656870fa · outbound

This paper cites 09388, https://huggingface.co/Qwen/Qwen3-Next-80B-A3B-Instruct.

Silicon Showdown: Performance, Efficiency, and Ecosystem Barriers in Consumer-Grade LLM Inference 09388, https://huggingface.co/Qwen/Qwen3-Next-80B-A3B-Instruct

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T01:16:27.972811Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Pith citing papers

Observation 879988e9-6b2c-4df5-86d6-b75d222e7008 · inbound

Instruction-Conditioned Exploration with Asymmetric Reinforcement Learning and Self-Distillation cites this paper.

Instruction-Conditioned Exploration with Asymmetric Reinforcement Learning and Self-Distillation Silicon Showdown: Performance, Efficiency, and Ecosystem Barriers in Consumer-Grade LLM Inference

Reference 57

Resolution: verified exact; local_arxiv, observed 2026-08-04T15:28:25.825233Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.