Paper Citation Record · LEDGER

Sparse Attention Remapping with Clustering for Efficient LLM Decoding on PIM

As of 5 August 2026, this Paper Citation Record lists 41 of 41 outbound references and 1 inbound Pith citation observation for arXiv:2505.05772.

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

pith.paper-citation-record.v1
2505.05772 v2

Coverage vector

measured 41 of 41 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-22T16:58:11.105511Z

measured 42 of 42 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-14T13:40:32.154860Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

41 of 41 outbound references displayed

verified exact16
verified fuzzy25
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d0a6df20-421e-413f-97cc-750445cc8415 · outbound

This paper cites GPT-4 Technical Report.

Sparse Attention Remapping with Clustering for Efficient LLM Decoding on PIM GPT-4 Technical Report

Reference 1

Resolution: verified exact; local_arxiv, observed 2026-05-22T17:01:48.639275Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 89aa74ae-03a9-4b48-a18f-00d1d7171069 · outbound

This paper cites Toolqa: A dataset for llm question answering with external tools.

Sparse Attention Remapping with Clustering for Efficient LLM Decoding on PIM Toolqa: A dataset for llm question answering with external tools

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T17:01:49.377125Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 4526d313-beb4-403d-8b94-36cdd01588ca · outbound

This paper cites Pythia: Ai-assisted code completion system.

Sparse Attention Remapping with Clustering for Efficient LLM Decoding on PIM Pythia: Ai-assisted code completion system

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T17:01:49.333294Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation ae8f3319-cc17-4964-b833-289d45f85d79 · outbound

This paper cites Code Llama: Open Foundation Models for Code.

Sparse Attention Remapping with Clustering for Efficient LLM Decoding on PIM Code Llama: Open Foundation Models for Code

Reference 4

Resolution: verified exact; local_arxiv, observed 2026-05-22T17:01:48.631980Z

Source-reported events for the cited work

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Observation ede85c5b-18c4-48b7-b4d7-1bb053793cc7 · outbound

This paper cites Reflex- ion: Language agents with verbal reinforcement learning.

Sparse Attention Remapping with Clustering for Efficient LLM Decoding on PIM Reflex- ion: Language agents with verbal reinforcement learning

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T17:01:49.363753Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 941d6a88-bfbf-4603-a507-4b48cca6fb0a · outbound

This paper cites Tree of thoughts: Deliberate problem solving with large language models.

Sparse Attention Remapping with Clustering for Efficient LLM Decoding on PIM Tree of thoughts: Deliberate problem solving with large language models

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T17:01:49.346304Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 21ed6cd8-7c11-4c00-b404-172f6148547f · outbound

This paper cites Pre-trained language models for in- teractive decision-making.

Sparse Attention Remapping with Clustering for Efficient LLM Decoding on PIM Pre-trained language models for in- teractive decision-making

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T17:01:49.337605Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 36049c4f-f4fe-4e17-b7c8-9ef2c856038b · outbound

This paper cites Efficiently scaling transformer inference.

Sparse Attention Remapping with Clustering for Efficient LLM Decoding on PIM Efficiently scaling transformer inference

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T17:01:49.341873Z

Source-reported events for the cited work

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Observation 06af12f3-6f77-4e15-a146-599423b98d93 · outbound

This paper cites Efficient memory management for large language model serving with pagedattention.

Sparse Attention Remapping with Clustering for Efficient LLM Decoding on PIM Efficient memory management for large language model serving with pagedattention

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T17:01:49.359684Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 1dfbf1f8-f989-4f41-8315-7d33ca7c7cba · outbound

This paper cites Computedram: In-memory compute using off-the-shelf drams.

Sparse Attention Remapping with Clustering for Efficient LLM Decoding on PIM Computedram: In-memory compute using off-the-shelf drams

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T17:01:49.355941Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 50ea3acd-516a-4b93-ac3c-d69b5d97c29b · outbound

This paper cites Newton: A dram-maker’s accelerator-in-memory (aim) architecture for machine learning.

Sparse Attention Remapping with Clustering for Efficient LLM Decoding on PIM Newton: A dram-maker’s accelerator-in-memory (aim) architecture for machine learning

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T17:01:49.372596Z

Source-reported events for the cited work

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Observation 4c465b38-8349-4d7b-8606-9697ae0f32ba · outbound

This paper cites Pathfinding future pim archi- tectures by demystifying a commercial pim technology.

Sparse Attention Remapping with Clustering for Efficient LLM Decoding on PIM Pathfinding future pim archi- tectures by demystifying a commercial pim technology

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T17:01:49.367776Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 155f3fca-325f-482e-a0a2-1b8b0fd96582 · outbound

This paper cites Accelerating neural network inference with processing-in-dram: from the edge to the cloud.

Sparse Attention Remapping with Clustering for Efficient LLM Decoding on PIM Accelerating neural network inference with processing-in-dram: from the edge to the cloud

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T17:01:49.350627Z

Source-reported events for the cited work

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Observation 8936493c-a694-4ffc-897b-cea7b35adc62 · outbound

This paper cites Floatpim: In-memory acceleration of deep neural network training with high precision.

Sparse Attention Remapping with Clustering for Efficient LLM Decoding on PIM Floatpim: In-memory acceleration of deep neural network training with high precision

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T17:01:49.420304Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 1f184fd9-141a-40e2-a6e8-51bd32ed463d · outbound

This paper cites Attacc! unleashing the power of pim for batched transformer- based generative model inference.

Sparse Attention Remapping with Clustering for Efficient LLM Decoding on PIM Attacc! unleashing the power of pim for batched transformer- based generative model inference

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T17:01:49.424514Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 8aa03bab-105c-47e3-99ba-d160b0985255 · outbound

This paper cites Neupims: Npu-pim heterogeneous acceleration for batched llm inferencing.

Sparse Attention Remapping with Clustering for Efficient LLM Decoding on PIM Neupims: Npu-pim heterogeneous acceleration for batched llm inferencing

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T17:01:49.436845Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation f93a87a1-3539-4d8d-9c0a-4b6ad83f4f0f · outbound

This paper cites Quest: Query-Aware Sparsity for Efficient Long-Context LLM Inference.

Sparse Attention Remapping with Clustering for Efficient LLM Decoding on PIM Quest: Query-Aware Sparsity for Efficient Long-Context LLM Inference

Reference 17

Resolution: verified exact; local_arxiv, observed 2026-05-22T17:01:48.552416Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 9f1d6902-e0fc-41e5-821c-492cf3bde11c · outbound

This paper cites Transpim: A memory- based acceleration via software-hardware co-design for transformer.

Sparse Attention Remapping with Clustering for Efficient LLM Decoding on PIM Transpim: A memory- based acceleration via software-hardware co-design for transformer

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T17:01:49.398828Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 9d007ad9-5b83-4d92-9a62-fe0cc180a204 · outbound

This paper cites Lol-pim: Long-context llm decoding with scalable dram-pim system.

Sparse Attention Remapping with Clustering for Efficient LLM Decoding on PIM Lol-pim: Long-context llm decoding with scalable dram-pim system

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-05-22T17:01:48.545822Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 7231b18a-40a2-437d-856e-a0bcfd714dff · outbound

This paper cites PAPI: Exploiting Dynamic Parallelism in Large Language Model Decoding with a Processing-In-Memory-Enabled Computing System.

Sparse Attention Remapping with Clustering for Efficient LLM Decoding on PIM PAPI: Exploiting Dynamic Parallelism in Large Language Model Decoding with a Processing-In-Memory-Enabled Computing System

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-05-22T17:01:48.594637Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation f4275ed3-266c-4257-8746-7032d350c841 · outbound

This paper cites Model Tells You Where to Merge: Adaptive KV Cache Merging for LLMs on Long-Context Tasks.

Sparse Attention Remapping with Clustering for Efficient LLM Decoding on PIM Model Tells You Where to Merge: Adaptive KV Cache Merging for LLMs on Long-Context Tasks

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-05-22T17:01:48.624426Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 0db3f7e9-fc34-4b3b-b4c1-d4730001bcc4 · outbound

This paper cites How long can open-source llms truly promise on context length?.

Sparse Attention Remapping with Clustering for Efficient LLM Decoding on PIM How long can open-source llms truly promise on context length?

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T17:01:49.428396Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation b2af87e2-ed41-4321-8847-b2a07add210b · outbound

This paper cites LongBench: A bilingual, multitask benchmark for long context understanding.

Sparse Attention Remapping with Clustering for Efficient LLM Decoding on PIM LongBench: A bilingual, multitask benchmark for long context understanding

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T17:01:49.403037Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 65e06e91-dfd2-4e45-b4b2-eebe66bd1b12 · outbound

This paper cites HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question Answering.

Sparse Attention Remapping with Clustering for Efficient LLM Decoding on PIM HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question Answering

Reference 24

Resolution: verified exact; local_arxiv, observed 2026-05-22T17:01:48.586773Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 9c1b9472-4040-40b8-a965-e6f115cdefa1 · outbound

This paper cites A Dataset of Information-Seeking Questions and Answers Anchored in Research Papers.

Sparse Attention Remapping with Clustering for Efficient LLM Decoding on PIM A Dataset of Information-Seeking Questions and Answers Anchored in Research Papers

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-05-22T17:01:48.612925Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 98baa4ae-bc26-4d02-919a-07e843da4097 · outbound

This paper cites The narrativeqa reading comprehension challenge.

Sparse Attention Remapping with Clustering for Efficient LLM Decoding on PIM The narrativeqa reading comprehension challenge

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T17:01:49.411447Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation a17e694a-e77b-45bf-b825-12561e36e8a8 · outbound

This paper cites TriviaQA: A Large Scale Distantly Supervised Challenge Dataset for Reading Comprehension.

Sparse Attention Remapping with Clustering for Efficient LLM Decoding on PIM TriviaQA: A Large Scale Distantly Supervised Challenge Dataset for Reading Comprehension

Reference 27

Resolution: verified exact; local_arxiv, observed 2026-05-22T17:01:48.558998Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 428ab48b-387a-4092-9ceb-7c96d016df93 · outbound

This paper cites SAMSum Corpus: A Human-annotated Dialogue Dataset for Abstractive Summarization.

Sparse Attention Remapping with Clustering for Efficient LLM Decoding on PIM SAMSum Corpus: A Human-annotated Dialogue Dataset for Abstractive Summarization

Reference 28

Resolution: verified exact; arxiv_id, observed 2026-05-22T17:01:48.579348Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation ae8f505c-cb96-4055-b767-1e0a55506ca2 · outbound

This paper cites Exploring the limits of transfer learning with a unified text-to-text transformer.

Sparse Attention Remapping with Clustering for Efficient LLM Decoding on PIM Exploring the limits of transfer learning with a unified text-to-text transformer

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T17:01:49.407532Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 7caf4020-cc34-49fc-a41a-94b14bf95d8c · outbound

This paper cites Longcoder: A long- range pre-trained language model for code completion.

Sparse Attention Remapping with Clustering for Efficient LLM Decoding on PIM Longcoder: A long- range pre-trained language model for code completion

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T17:01:49.382078Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 46ce69cf-37df-4b9a-b60b-22475a9d62bc · outbound

This paper cites Compressive Transformers for Long-Range Sequence Modelling.

Sparse Attention Remapping with Clustering for Efficient LLM Decoding on PIM Compressive Transformers for Long-Range Sequence Modelling

Reference 31

Resolution: verified exact; local_arxiv, observed 2026-05-22T17:01:48.565577Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 859f5777-a94f-4b71-b05a-95ee2b571523 · outbound

This paper cites {InfiniGen}: Efficient generative inference of large language models with dynamic {KV} cache manage- ment.

Sparse Attention Remapping with Clustering for Efficient LLM Decoding on PIM {InfiniGen}: Efficient generative inference of large language models with dynamic {KV} cache manage- ment

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T17:01:49.432620Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 733b74c5-244a-427c-924e-d71070f9fb19 · outbound

This paper cites SparQ Attention: Bandwidth-Efficient LLM Inference.

Sparse Attention Remapping with Clustering for Efficient LLM Decoding on PIM SparQ Attention: Bandwidth-Efficient LLM Inference

Reference 33

Resolution: verified exact; arxiv_id, observed 2026-05-22T17:01:48.528269Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 03cb7c30-75f8-41c3-bd49-12f3696aa48b · outbound

This paper cites Accelerating bandwidth-bound deep learning inference with main-memory accelerators.

Sparse Attention Remapping with Clustering for Efficient LLM Decoding on PIM Accelerating bandwidth-bound deep learning inference with main-memory accelerators

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T17:01:49.391337Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 16d14693-4eb8-49f9-9238-c7d78dd72f95 · outbound

This paper cites PIM-LLM: A High-Throughput Hybrid PIM Architecture for 1-bit LLMs.

Sparse Attention Remapping with Clustering for Efficient LLM Decoding on PIM PIM-LLM: A High-Throughput Hybrid PIM Architecture for 1-bit LLMs

Reference 35

Resolution: verified exact; arxiv_id, observed 2026-05-22T17:01:48.603458Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation a0793e62-3d74-4805-8c09-a6a6691cc991 · outbound

This paper cites Make llm inference affordable to everyone: Augmenting gpu memory with ndp-dimm.

Sparse Attention Remapping with Clustering for Efficient LLM Decoding on PIM Make llm inference affordable to everyone: Augmenting gpu memory with ndp-dimm

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T17:01:49.386567Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 5db33249-cd19-4fec-901e-8d790f2eb251 · outbound

This paper cites H2o: Heavy-hitter oracle for efficient generative inference of large language models.

Sparse Attention Remapping with Clustering for Efficient LLM Decoding on PIM H2o: Heavy-hitter oracle for efficient generative inference of large language models

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T17:01:49.415931Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation b08d30b4-d613-41cc-bb3d-92167b9d2c20 · outbound

This paper cites Scissorhands: Exploiting the persistence of importance hypothesis for llm kv cache compression at test time.

Sparse Attention Remapping with Clustering for Efficient LLM Decoding on PIM Scissorhands: Exploiting the persistence of importance hypothesis for llm kv cache compression at test time

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T17:01:49.441191Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 53d99a0a-a4df-4861-b32c-47134b63434a · outbound

This paper cites Model Tells You What to Discard: Adaptive KV Cache Compression for LLMs.

Sparse Attention Remapping with Clustering for Efficient LLM Decoding on PIM Model Tells You What to Discard: Adaptive KV Cache Compression for LLMs

Reference 39

Resolution: verified exact; local_arxiv, observed 2026-05-22T17:01:48.534979Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 5c6b3ef3-574f-4e08-ad45-4712437638d1 · outbound

This paper cites ClusterKV: Manipulating LLM KV Cache in Semantic Space for Recallable Compression.

Sparse Attention Remapping with Clustering for Efficient LLM Decoding on PIM ClusterKV: Manipulating LLM KV Cache in Semantic Space for Recallable Compression

Reference 40

Resolution: verified exact; arxiv_id, observed 2026-05-22T17:01:48.520894Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation a98d89ab-9a03-43c4-a630-94002f6745c8 · outbound

This paper cites Squeezed attention: Accelerat- ing long context length llm inference.

Sparse Attention Remapping with Clustering for Efficient LLM Decoding on PIM Squeezed attention: Accelerat- ing long context length llm inference

Reference 41

Resolution: verified exact; arxiv_id, observed 2026-05-22T17:01:48.618802Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Pith citing papers

Observation e1804785-eb12-4a0c-ba86-85da2072338b · inbound

FlashAccel: Leveraging High-Bandwidth Flash for High-Throughput LLM Inference cites this paper.

FlashAccel: Leveraging High-Bandwidth Flash for High-Throughput LLM Inference Sparse Attention Remapping with Clustering for Efficient LLM Decoding on PIM

Reference 21

Resolution: unresolved; no resolver link, observed 2026-07-14T13:40:32.154860Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.