Paper Citation Record · LEDGER

LLMCad: Fast and Scalable On-device Large Language Model Inference

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 inbound Pith citation observations for arXiv:2309.04255.

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

pith.paper-citation-record.v1
2309.04255 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 11 of 11 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T05:19:35.751961Z

measured 1 of 1 external citation measurements

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

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

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

13
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation b84fa4dd-a1af-40a9-a267-37d9d60a920a · inbound

The MoE-Empowered Edge LLMs Deployment: Architecture, Challenges, and Opportunities cites this paper.

The MoE-Empowered Edge LLMs Deployment: Architecture, Challenges, and Opportunities LLMCad: Fast and Scalable On-device Large Language Model Inference

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-08T05:19:35.751961Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 991996f3-5e6e-4046-889d-6806864ff512 · inbound

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

Edge-First Language Model Inference: Models, Metrics, and Tradeoffs LLMCad: Fast and Scalable On-device Large Language Model Inference

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-07T15:03:08.669376Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4012f9de-80bc-48e5-bbbf-2660dc0bc53f · inbound

Ghidorah: Fast LLM Inference on Edge with Speculative Decoding and Hetero-Core Parallelism cites this paper.

Ghidorah: Fast LLM Inference on Edge with Speculative Decoding and Hetero-Core Parallelism LLMCad: Fast and Scalable On-device Large Language Model Inference

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-07T13:02:10.198594Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f0112c21-da6c-4356-a3b6-c4449348fa7e · inbound

SoK: The Privacy Paradox of Large Language Models: Advancements, Privacy Risks, and Mitigation cites this paper.

SoK: The Privacy Paradox of Large Language Models: Advancements, Privacy Risks, and Mitigation LLMCad: Fast and Scalable On-device Large Language Model Inference

Reference 129

Resolution: unresolved; no resolver link, observed 2026-08-07T00:46:10.431567Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 84b9f65e-e87a-4695-8004-395b4d9fd9e0 · inbound

Toward Edge General Intelligence with Multiple-Large Language Model (Multi-LLM): Architecture, Trust, and Orchestration cites this paper.

Toward Edge General Intelligence with Multiple-Large Language Model (Multi-LLM): Architecture, Trust, and Orchestration LLMCad: Fast and Scalable On-device Large Language Model Inference

Reference 86

Resolution: unresolved; no resolver link, observed 2026-08-06T21:16:14.815374Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 946a9f0f-bebf-4248-9d2f-047f2fac3976 · inbound

Dissecting the Impact of Mobile DVFS Governors on LLM Inference Performance and Energy Efficiency cites this paper.

Dissecting the Impact of Mobile DVFS Governors on LLM Inference Performance and Energy Efficiency LLMCad: Fast and Scalable On-device Large Language Model Inference

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-06T20:44:17.577855Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c27dfe0c-4edb-423c-8fa7-d61f33313141 · inbound

Collaborative Inference and Learning between Edge SLMs and Cloud LLMs: A Survey of Algorithms, Execution, and Open Challenges cites this paper.

Collaborative Inference and Learning between Edge SLMs and Cloud LLMs: A Survey of Algorithms, Execution, and Open Challenges LLMCad: Fast and Scalable On-device Large Language Model Inference

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-06T15:06:47.908155Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3d8da4af-b8d6-4510-972e-098368068528 · inbound

A Unified Model and Document Representation for On-Device Retrieval-Augmented Generation cites this paper.

A Unified Model and Document Representation for On-Device Retrieval-Augmented Generation LLMCad: Fast and Scalable On-device Large Language Model Inference

Reference 50

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T11:55:20.092471Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 26ed021b-5237-4a1b-825a-665c2fa70f3d · inbound

Litespark Inference For CPUs: Ultra-Fast SIMD Framework for Ternary (1.58-bit) Language Models cites this paper.

Litespark Inference For CPUs: Ultra-Fast SIMD Framework for Ternary (1.58-bit) Language Models LLMCad: Fast and Scalable On-device Large Language Model Inference

Reference 30

Resolution: malformed identifier; arxiv_id, observed 2026-05-11T20:11:08.765744Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 99247455-449b-4bbd-a21a-6313359a4049 · inbound

Litespark Inference For CPUs: Ultra-Fast SIMD Framework for Ternary (1.58-bit) Language Models cites this paper.

Litespark Inference For CPUs: Ultra-Fast SIMD Framework for Ternary (1.58-bit) Language Models LLMCad: Fast and Scalable On-device Large Language Model Inference

Reference 30

Resolution: malformed identifier; arxiv_id, observed 2026-07-01T13:25:46.082791Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 7803a98a-0f7d-4895-b61c-0ebdf468abeb · inbound

AsymSpec: Efficient Cloud-Edge Speculative Decoding over Asymmetric Networks cites this paper.

AsymSpec: Efficient Cloud-Edge Speculative Decoding over Asymmetric Networks LLMCad: Fast and Scalable On-device Large Language Model Inference

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-06T12:36:18.965771Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.