Paper Citation Record · LEDGER

LP-Spec: Leveraging LPDDR PIM for Efficient LLM Mobile Speculative Inference with Architecture-Dataflow Co-Optimization

As of 6 August 2026, this Paper Citation Record lists 1 of 1 outbound references and 6 inbound Pith citation observations for arXiv:2508.07227.

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

pith.paper-citation-record.v1
2508.07227 v3

Coverage vector

measured 1 of 1 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T22:17:46.781173Z

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T22:17:46.781173Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-25T07:35:28.747502Z

Reference resolution

1 of 1 outbound references displayed

verified exact0
verified fuzzy0
unresolved1
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 73489d65-e951-4f7c-9b3c-24bc0b69b6af · outbound

This paper cites LP-Spec: Leveraging LPDDR PIM for Efficient LLM Mobile Speculative Inference with Architecture-Dataflow Co-Optimization.

LP-Spec: Leveraging LPDDR PIM for Efficient LLM Mobile Speculative Inference with Architecture-Dataflow Co-Optimization LP-Spec: Leveraging LPDDR PIM for Efficient LLM Mobile Speculative Inference with Architecture-Dataflow Co-Optimization

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-05T22:17:46.781173Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 73489d65-e951-4f7c-9b3c-24bc0b69b6af · inbound

LP-Spec: Leveraging LPDDR PIM for Efficient LLM Mobile Speculative Inference with Architecture-Dataflow Co-Optimization cites this paper.

LP-Spec: Leveraging LPDDR PIM for Efficient LLM Mobile Speculative Inference with Architecture-Dataflow Co-Optimization LP-Spec: Leveraging LPDDR PIM for Efficient LLM Mobile Speculative Inference with Architecture-Dataflow Co-Optimization

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-05T22:17:46.781173Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e7dbf547-c60b-422e-872a-cc64c4858b35 · inbound

DCC: Data-Centric Compilation of Machine Learning Kernels for Processing-In-Memory Architectures cites this paper.

DCC: Data-Centric Compilation of Machine Learning Kernels for Processing-In-Memory Architectures LP-Spec: Leveraging LPDDR PIM for Efficient LLM Mobile Speculative Inference with Architecture-Dataflow Co-Optimization

Reference 60

Resolution: verified exact; arxiv_id, observed 2026-05-25T07:35:28.750923Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation b98d2f22-d34b-4b61-9f13-68cd8426cf27 · inbound

DCC: Data-Centric Compilation of Machine Learning Kernels for Processing-In-Memory Architectures cites this paper.

DCC: Data-Centric Compilation of Machine Learning Kernels for Processing-In-Memory Architectures LP-Spec: Leveraging LPDDR PIM for Efficient LLM Mobile Speculative Inference with Architecture-Dataflow Co-Optimization

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-03T21:25:18.192583Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 04f7a272-f590-49a9-ad94-0a1e15c2c138 · inbound

DCC: Data-Centric Compilation of Machine Learning Kernels for Processing-In-Memory Architectures cites this paper.

DCC: Data-Centric Compilation of Machine Learning Kernels for Processing-In-Memory Architectures LP-Spec: Leveraging LPDDR PIM for Efficient LLM Mobile Speculative Inference with Architecture-Dataflow Co-Optimization

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-04T06:48:39.044499Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0160d136-5218-44bd-b5e7-bc144b3ae529 · inbound

TokenStack: A Heterogeneous HBM-PIM Architecture and Runtime for Efficient LLM Inference cites this paper.

TokenStack: A Heterogeneous HBM-PIM Architecture and Runtime for Efficient LLM Inference LP-Spec: Leveraging LPDDR PIM for Efficient LLM Mobile Speculative Inference with Architecture-Dataflow Co-Optimization

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-11T21:36:18.213506Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation b5af5529-7805-41fd-8bed-8300b481a626 · inbound

Is Your NPU Ready for LLMs? Dissecting the Hidden Efficiency Bottlenecks in Mobile LLM Inference cites this paper.

Is Your NPU Ready for LLMs? Dissecting the Hidden Efficiency Bottlenecks in Mobile LLM Inference LP-Spec: Leveraging LPDDR PIM for Efficient LLM Mobile Speculative Inference with Architecture-Dataflow Co-Optimization

Reference 49

Resolution: unresolved; no resolver link, observed 2026-07-11T12:14:57.342551Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.