Paper Citation Record · LEDGER

Memory Is All You Need: An Overview of Compute-in-Memory Architectures for Accelerating Large Language Model Inference

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 13 inbound Pith citation observations for arXiv:2406.08413.

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

pith.paper-citation-record.v1
2406.08413 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 13 of 13 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 13 of 13 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T04:57:52.561193Z

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

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

9
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation d719e35a-261d-4984-b3e4-1074b5865fb9 · inbound

A Survey of End-to-End Modeling for Distributed DNN Training: Workloads, Simulators, and TCO cites this paper.

A Survey of End-to-End Modeling for Distributed DNN Training: Workloads, Simulators, and TCO Memory Is All You Need: An Overview of Compute-in-Memory Architectures for Accelerating Large Language Model Inference

Reference 127

Resolution: unresolved; no resolver link, observed 2026-08-07T04:57:52.561193Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9064938b-af1a-41b0-9766-ae704dcf6a9f · inbound

AbbIE: Autoregressive Block-Based Iterative Encoder for Efficient Sequence Modeling cites this paper.

AbbIE: Autoregressive Block-Based Iterative Encoder for Efficient Sequence Modeling Memory Is All You Need: An Overview of Compute-in-Memory Architectures for Accelerating Large Language Model Inference

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-06T18:24:53.489848Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 313ba47d-2924-4ce0-8580-18c49df2de96 · inbound

DistrAttention: An Efficient and Flexible Self-Attention Mechanism on Modern GPUs cites this paper.

DistrAttention: An Efficient and Flexible Self-Attention Mechanism on Modern GPUs Memory Is All You Need: An Overview of Compute-in-Memory Architectures for Accelerating Large Language Model Inference

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-06T14:59:21.220570Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fdf80982-8ef3-437a-85b8-8eca0a9fb394 · inbound

From Tokens to Layers: Redefining Stall-Free Scheduling for MoE Serving with Layered Prefill cites this paper.

From Tokens to Layers: Redefining Stall-Free Scheduling for MoE Serving with Layered Prefill Memory Is All You Need: An Overview of Compute-in-Memory Architectures for Accelerating Large Language Model Inference

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-05-18T08:51:08.930601Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 004f0709-0cbf-42c5-b11c-1968459a6306 · inbound

Increased endurance of nonvolatile photonics enabled by nanostructured phase-change materials cites this paper.

Increased endurance of nonvolatile photonics enabled by nanostructured phase-change materials Memory Is All You Need: An Overview of Compute-in-Memory Architectures for Accelerating Large Language Model Inference

Reference 28

Resolution: verified exact; arxiv_id, observed 2026-05-11T06:51:52.592824Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 2330c259-9e30-400e-a8b6-b545bde908bf · inbound

DeepReviewer 2.0: A Traceable Agentic System for Auditable Scientific Peer Review cites this paper.

DeepReviewer 2.0: A Traceable Agentic System for Auditable Scientific Peer Review Memory Is All You Need: An Overview of Compute-in-Memory Architectures for Accelerating Large Language Model Inference

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-15T17:20:10.420212Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 64964b89-24e6-4add-85cb-beaf12876fe7 · inbound

DAK: Direct-Access-Enabled GPU Memory Offloading with Optimal Efficiency for LLM Inference cites this paper.

DAK: Direct-Access-Enabled GPU Memory Offloading with Optimal Efficiency for LLM Inference Memory Is All You Need: An Overview of Compute-in-Memory Architectures for Accelerating Large Language Model Inference

Reference 36

Resolution: verified exact; arxiv_id, observed 2026-05-12T00:36:13.817928Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 1267c1f8-d439-4c7e-8c2c-06081dfb7530 · inbound

An Unsupervised Machine Learning-based Framework for Wafer Scale Variability Analysis and Performance Prediction of Ferroelectric Hf0.5Zr0.5O2 Thin Film Capacitors cites this paper.

An Unsupervised Machine Learning-based Framework for Wafer Scale Variability Analysis and Performance Prediction of Ferroelectric Hf0.5Zr0.5O2 Thin Film Capacitors Memory Is All You Need: An Overview of Compute-in-Memory Architectures for Accelerating Large Language Model Inference

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-09T19:05:10.899003Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 12f72179-af77-4f6b-9d36-e39beb185883 · inbound

Chips in the Flatland : 2D Semiconductors for Future Computing Electronic cites this paper.

Chips in the Flatland : 2D Semiconductors for Future Computing Electronic Memory Is All You Need: An Overview of Compute-in-Memory Architectures for Accelerating Large Language Model Inference

Reference 156

Resolution: verified exact; arxiv_id, observed 2026-06-29T15:03:31.523454Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 9a9b0409-9c6a-4964-a33a-41a325ab2c7f · inbound

Model-Native Computing Architecture: Envisioning Future System Architecture Through the Lens of Computer Architecture cites this paper.

Model-Native Computing Architecture: Envisioning Future System Architecture Through the Lens of Computer Architecture Memory Is All You Need: An Overview of Compute-in-Memory Architectures for Accelerating Large Language Model Inference

Reference 158

Resolution: verified exact; arxiv_id, observed 2026-07-01T19:36:09.333689Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation f5f0d840-1189-45e3-9e9f-c8d0483b8b74 · inbound

A First-Principles Theory of Slow Thinking and Active Perception cites this paper.

A First-Principles Theory of Slow Thinking and Active Perception Memory Is All You Need: An Overview of Compute-in-Memory Architectures for Accelerating Large Language Model Inference

Reference 172

Resolution: verified exact; local_arxiv, observed 2026-07-10T11:37:03.314288Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 930db989-f3df-49a3-b003-3ef3e440f69a · inbound

FastTPS: An Optimized Method for LLM Token Phase for AI accelerators cites this paper.

FastTPS: An Optimized Method for LLM Token Phase for AI accelerators Memory Is All You Need: An Overview of Compute-in-Memory Architectures for Accelerating Large Language Model Inference

Reference 44

Resolution: unresolved; no resolver link, observed 2026-07-14T06:16:09.070414Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f6f83c22-51b8-4517-8890-71eb6f4cf4a1 · inbound

ComFuse: Fusing Complex Memory-Intensive Subgraphs with Compute-Intensive Kernels For Modern GPU Architectures cites this paper.

ComFuse: Fusing Complex Memory-Intensive Subgraphs with Compute-Intensive Kernels For Modern GPU Architectures Memory Is All You Need: An Overview of Compute-in-Memory Architectures for Accelerating Large Language Model Inference

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-05T17:14:17.119250Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.