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Paper Citation Record · LEDGER

RED-PIM: Reducing Data Movement for Transformers using Processing-in-Memory

As of 17 August 2026, this Paper Citation Record lists 50 of 50 outbound references and 0 inbound Pith citation observations for arXiv:2607.21731.

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

pith.paper-citation-record.v1
2607.21731 v1

Coverage vector

measured 50 of 50 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T06:59:55.220675Z

measured 50 of 50 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

50 of 50 outbound references displayed

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External citation measurements

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Outbound references

Observation 2e58bcec-32a9-4040-a1da-47d408b688bf · outbound

This paper cites A scalable processing- in-memory accelerator for parallel graph processing,.

RED-PIM: Reducing Data Movement for Transformers using Processing-in-Memory A scalable processing- in-memory accelerator for parallel graph processing,

Reference 1

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source=pdf_text observed=2026-08-01T06:59:49.988229Z digest=sha256:be62f337e0a2c1a14c73d6ed3f128c46dc624079e084876147d98b54a803b249

Observation f49d5338-d941-425d-8e9a-bbd91ca55d99 · outbound

This paper cites The fifth pascal recognizing textual entailment challenge.

RED-PIM: Reducing Data Movement for Transformers using Processing-in-Memory The fifth pascal recognizing textual entailment challenge

Reference 2

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source=pdf_text observed=2026-08-01T06:59:50.058877Z digest=sha256:e962e5686b228bc82e28d3d222c1c16ae24bad9e0ca138b4b60c3bd93faacb32

Observation 54928abd-5424-4bd1-a9a7-5ea35edb4c25 · outbound

This paper cites Google workloads for consumer devices: Mitigating data movement bottle- necks,.

RED-PIM: Reducing Data Movement for Transformers using Processing-in-Memory Google workloads for consumer devices: Mitigating data movement bottle- necks,

Reference 3

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source=pdf_text observed=2026-08-01T06:59:50.176222Z digest=sha256:3f7de0aecc9e1db3fd2f8bbfe1a320dc015c26eb004fccc5dd0c2fbe98179e27

Observation a4088781-b1a9-4108-9881-58be4cd2141c · outbound

This paper cites In-memory transformer self-attention mechanism using passive mem- ristor crossbar,.

RED-PIM: Reducing Data Movement for Transformers using Processing-in-Memory In-memory transformer self-attention mechanism using passive mem- ristor crossbar,

Reference 4

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source=pdf_text observed=2026-08-01T06:59:50.267315Z digest=sha256:7d77acb2ecd2afd814252b4f81e987c51d16ab4b08ae60b55d30c4766ca1ac3b

Observation b69a36fd-bccb-46b7-b89c-0e068cad05f4 · outbound

This paper cites SemEval-2017 Task 1: Semantic Textual Similarity - Multilingual and Cross-lingual Focused Evaluation.

RED-PIM: Reducing Data Movement for Transformers using Processing-in-Memory SemEval-2017 Task 1: Semantic Textual Similarity - Multilingual and Cross-lingual Focused Evaluation

Reference 5

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source=pdf_text observed=2026-08-01T06:59:50.379794Z digest=sha256:de9b945464aa03e83094b24e737e2b7a5707719f60fc3823aaa4b0c4523171ea

Observation e7f193cb-8143-450d-ae3d-2497fbeb55e2 · outbound

This paper cites A Discourse-Aware Attention Model for Abstractive Summarization of Long Documents.

RED-PIM: Reducing Data Movement for Transformers using Processing-in-Memory A Discourse-Aware Attention Model for Abstractive Summarization of Long Documents

Reference 6

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source=pdf_text observed=2026-08-01T06:59:50.472374Z digest=sha256:2dc7d00656646622f34b34b4fa8e0cb501839f587049b15b196d7882ab5950f7

Observation f6e35488-2a94-4d39-b3f2-c4b38237172a · outbound

This paper cites Gemini 2 models,.

RED-PIM: Reducing Data Movement for Transformers using Processing-in-Memory Gemini 2 models,

Reference 7

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source=pdf_text observed=2026-08-01T06:59:50.497037Z digest=sha256:59e86e383fee3b360e768c8d914bd4d947e0437ed1db1eff4d2a072f7e986e00

Observation efd9c8a1-20f5-47a5-8dde-5eea234660fe · outbound

This paper cites LongNet: Scaling Transformers to 1,000,000,000 Tokens.

RED-PIM: Reducing Data Movement for Transformers using Processing-in-Memory LongNet: Scaling Transformers to 1,000,000,000 Tokens

Reference 8

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source=pdf_text observed=2026-08-01T06:59:50.579006Z digest=sha256:b8d49de9c14ce390584cd0b6de001140edfd49ec42dd89d88331bd7e5cbf6835

Observation a47cc28c-a107-44b7-906e-af0b8a0bdef0 · outbound

This paper cites Haima: A hybrid sram and dram accelerator-in-memory architecture for transformer,.

RED-PIM: Reducing Data Movement for Transformers using Processing-in-Memory Haima: A hybrid sram and dram accelerator-in-memory architecture for transformer,

Reference 9

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source=pdf_text observed=2026-08-01T06:59:50.690012Z digest=sha256:febc8a8838bfc66b03e3d1d47b67a635592465e268f1c7f7a62f3f6bb2aea0f9

Observation 9a47b8ea-8b46-459d-b6a1-bc7e22b1bb18 · outbound

This paper cites Automatically constructing a corpus of sen- tential paraphrases,.

RED-PIM: Reducing Data Movement for Transformers using Processing-in-Memory Automatically constructing a corpus of sen- tential paraphrases,

Reference 10

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source=pdf_text observed=2026-08-01T06:59:50.777751Z digest=sha256:98733b26cb92200d333c837d9a549d79078685a219232b2e3da66bc499992ad0

Observation ef158035-c7fb-4406-a485-0207d9656284 · outbound

This paper cites The Llama 3 Herd of Models.

RED-PIM: Reducing Data Movement for Transformers using Processing-in-Memory The Llama 3 Herd of Models

Reference 11

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source=pdf_text observed=2026-08-01T06:59:50.905943Z digest=sha256:95e046a7caac2ab53954745a011525d0c3dfa6748485918230c32fd4e7514818

Observation 49890c0a-e7d4-4deb-b4eb-6d9fe96b1a9e · outbound

This paper cites Processing-in-memory: A workload-driven perspective,.

RED-PIM: Reducing Data Movement for Transformers using Processing-in-Memory Processing-in-memory: A workload-driven perspective,

Reference 12

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source=pdf_text observed=2026-08-01T06:59:51.024747Z digest=sha256:58f4566c617bdb85e0584f07f06922bb414325008b6eb957ff4f637ff5b575a9

Observation 00baa8d2-1a79-49ae-9b86-b8f725512dc9 · outbound

This paper cites SAL-PIM: A Subarray-level Processing-in-Memory Architecture with LUT-based Linear Interpolation for Transformer-based Text Generation.

RED-PIM: Reducing Data Movement for Transformers using Processing-in-Memory SAL-PIM: A Subarray-level Processing-in-Memory Architecture with LUT-based Linear Interpolation for Transformer-based Text Generation

Reference 13

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source=pdf_text observed=2026-08-01T06:59:51.122545Z digest=sha256:08a0adcc27b778f2cf6c9dbfef27b0e7f2ae48cbf69240ae10447897681ccea5

Observation cece9b5f-d723-4aa0-a280-0af920835e68 · outbound

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

RED-PIM: Reducing Data Movement for Transformers using Processing-in-Memory Neupims: Npu-pim heterogeneous acceleration for batched llm inferencing,

Reference 14

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source=pdf_text observed=2026-08-01T06:59:51.243899Z digest=sha256:01b0cd27470f148f467d821d822b950c8fd9598e5a13aa7413b1254b64c853ae

Observation 746124be-e2f0-4d8c-9150-8c2d77111e8e · outbound

This paper cites Efficient Attentions for Long Document Summarization.

RED-PIM: Reducing Data Movement for Transformers using Processing-in-Memory Efficient Attentions for Long Document Summarization

Reference 15

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source=pdf_text observed=2026-08-01T06:59:51.397427Z digest=sha256:88dd934cc1a973c0a510ada062505ac06433769802e11f656053fa87acd9506d

Observation bac181e8-964f-423a-8f18-8b8cf5d96f2b · outbound

This paper cites Hbm (high bandwidth memory) dram technology and architecture,.

RED-PIM: Reducing Data Movement for Transformers using Processing-in-Memory Hbm (high bandwidth memory) dram technology and architecture,

Reference 16

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source=pdf_text observed=2026-08-01T06:59:51.509406Z digest=sha256:59ce35ec49c6455379be5aab9790bcffe9ed914c2e6c0b6a51f2c7c5cb285acc

Observation 05f40502-e991-4943-b1ed-a47531a1f178 · outbound

This paper cites Performance evaluation of high bandwidth memory for hpc workloads,.

RED-PIM: Reducing Data Movement for Transformers using Processing-in-Memory Performance evaluation of high bandwidth memory for hpc workloads,

Reference 17

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source=pdf_text observed=2026-08-01T06:59:51.626030Z digest=sha256:6e3e5208bec47405a0760fae304acee6a3e12251d88adcfdf55b6fb86db87e51

Observation 19459676-8a96-4e48-9553-bba70b1bd9bf · outbound

This paper cites A framework for accelerating transformer-based language model on reram-based architecture,.

RED-PIM: Reducing Data Movement for Transformers using Processing-in-Memory A framework for accelerating transformer-based language model on reram-based architecture,

Reference 18

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Observation 378feb4d-5fc9-4a66-90dd-b36ecd757b39 · outbound

This paper cites Introduction to pytorch,.

RED-PIM: Reducing Data Movement for Transformers using Processing-in-Memory Introduction to pytorch,

Reference 19

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source=pdf_text observed=2026-08-01T06:59:51.812041Z digest=sha256:33e304ea0f44ce9c81f085b74305d1fe9761f1bcab7acf9fb0732d3dc2ee0c69

Observation 2107b565-0ec3-41fe-821f-66fb21371d5b · outbound

This paper cites Ramulator: A fast and extensible dram simulator,.

RED-PIM: Reducing Data Movement for Transformers using Processing-in-Memory Ramulator: A fast and extensible dram simulator,

Reference 20

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Observation 51a0e0a2-b43a-4dd3-a2ce-769e146aba4d · outbound

This paper cites 25.4 a 20nm 6gb function-in-memory dram, based on hbm2 with a 1.2 tflops pro- grammable computing unit using bank-level parallelism, for machine learning applications,.

RED-PIM: Reducing Data Movement for Transformers using Processing-in-Memory 25.4 a 20nm 6gb function-in-memory dram, based on hbm2 with a 1.2 tflops pro- grammable computing unit using bank-level parallelism, for machine learning applications,

Reference 21

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source=pdf_text observed=2026-08-01T06:59:52.090547Z digest=sha256:22e66298b333220e2d4478a98dee4f47f9eb6c4e668ea3ab0f0750edc374851e

Observation ff57191c-e1ff-4368-9aea-aba15f26e60d · outbound

This paper cites In-memory com- puting based accelerator for transformer networks for long sequences,.

RED-PIM: Reducing Data Movement for Transformers using Processing-in-Memory In-memory com- puting based accelerator for transformer networks for long sequences,

Reference 22

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source=pdf_text observed=2026-08-01T06:59:52.217459Z digest=sha256:f0dd0767585efc82169965f15a6c77b11e9485c7f4cbfd87c793454ca6015679

Observation 5b94c681-dac7-4ca2-b8c2-0c9d46041cf3 · outbound

This paper cites Hardware-software co-design of an in-memory transformer network accelerator,.

RED-PIM: Reducing Data Movement for Transformers using Processing-in-Memory Hardware-software co-design of an in-memory transformer network accelerator,

Reference 23

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Observation 7b7279cf-4d25-4c7b-824b-5dc25d0078d5 · outbound

This paper cites The winograd schema challenge,.

RED-PIM: Reducing Data Movement for Transformers using Processing-in-Memory The winograd schema challenge,

Reference 24

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source=pdf_text observed=2026-08-01T06:59:52.643247Z digest=sha256:03515b2f5c7295b92c5b98636b150e9a74c438583e0013e19f4b1f82c0cec064

Observation d4182df5-e5ee-4dfd-98cc-3d862c343a6b · outbound

This paper cites Specpim: Ac- celerating speculative inference on pim-enabled system via architecture- dataflow co-exploration,.

RED-PIM: Reducing Data Movement for Transformers using Processing-in-Memory Specpim: Ac- celerating speculative inference on pim-enabled system via architecture- dataflow co-exploration,

Reference 25

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source=pdf_text observed=2026-08-01T06:59:52.749704Z digest=sha256:3609024544d6ede295b259dd04e83827f841cc8ebb276f55a04a0cb24da4b3a9

Observation 7e6359be-8825-40a9-9fc2-5db7f41b60b1 · outbound

This paper cites H3datten: Heterogeneous 3-d integrated hybrid analog and digital compute-in- memory accelerator for vision transformer self-attention,.

RED-PIM: Reducing Data Movement for Transformers using Processing-in-Memory H3datten: Heterogeneous 3-d integrated hybrid analog and digital compute-in- memory accelerator for vision transformer self-attention,

Reference 26

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Observation 01eb0699-b91e-4fab-bbf6-6d4a8ec6859d · outbound

This paper cites An rram-based computing-in-memory architecture and its application in accelerating transformer inference,.

RED-PIM: Reducing Data Movement for Transformers using Processing-in-Memory An rram-based computing-in-memory architecture and its application in accelerating transformer inference,

Reference 27

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Observation 0e505d14-7d30-45d3-be5a-6e073c29296d · outbound

This paper cites Learning word vectors for sentiment analysis,.

RED-PIM: Reducing Data Movement for Transformers using Processing-in-Memory Learning word vectors for sentiment analysis,

Reference 28

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source=pdf_text observed=2026-08-01T06:59:53.131721Z digest=sha256:377a2af86a1e6ee8861bc6ea5d85f7e3f1878a641020ee4ddbbc073875723a63

Observation 6395b70a-9afa-4ebd-bd27-2b517322d7a3 · outbound

This paper cites A modern primer on processing in memory,.

RED-PIM: Reducing Data Movement for Transformers using Processing-in-Memory A modern primer on processing in memory,

Reference 29

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Observation f3821302-d942-4c3a-b108-27285f5aa307 · outbound

This paper cites DAMOV: A new method- ology and benchmark suite for evaluating data movement bottlenecks,.

RED-PIM: Reducing Data Movement for Transformers using Processing-in-Memory DAMOV: A new method- ology and benchmark suite for evaluating data movement bottlenecks,

Reference 30

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Observation 103ea456-c904-41b2-87ea-601aa3a47c4b · outbound

This paper cites Introducing gpt-4.1 in the api,.

RED-PIM: Reducing Data Movement for Transformers using Processing-in-Memory Introducing gpt-4.1 in the api,

Reference 31

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source=pdf_text observed=2026-08-01T06:59:53.433570Z digest=sha256:82db60f3f8a79bab719f854960063f8eb0e81f7916369ef15b19d449711e2a6a

Observation 032a817a-ba6d-44f8-8863-dc94bf8a05c7 · outbound

This paper cites SQuAD: 100,000+ Questions for Machine Comprehension of Text.

RED-PIM: Reducing Data Movement for Transformers using Processing-in-Memory SQuAD: 100,000+ Questions for Machine Comprehension of Text

Reference 32

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source=pdf_text observed=2026-08-01T06:59:53.510614Z digest=sha256:0e6f62499845b6966ceeec44f2a41a92049b006729748e6cc2dfb82f853b8ec5

Observation 18210b86-7e29-4e20-ae2a-9820be8da51d · outbound

This paper cites Nom: Network-on-memory for inter- bank data transfer in highly-banked memories,.

RED-PIM: Reducing Data Movement for Transformers using Processing-in-Memory Nom: Network-on-memory for inter- bank data transfer in highly-banked memories,

Reference 33

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source=pdf_text observed=2026-08-01T06:59:53.586302Z digest=sha256:9f39d29c5f306dea59adbb0f314c9f8e3bd2d2816c2c098263017fc4857a2327

Observation 2d97d863-2eec-4a06-93a4-7966695fcf1a · outbound

This paper cites Zsim: Fast and accurate microarchitec- tural simulation of thousand-core systems,.

RED-PIM: Reducing Data Movement for Transformers using Processing-in-Memory Zsim: Fast and accurate microarchitec- tural simulation of thousand-core systems,

Reference 34

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Observation 17c983e9-c04b-4f09-8573-cd82ce242a71 · outbound

This paper cites Ambit: In- memory accelerator for bulk bitwise operations using commodity dram technology,.

RED-PIM: Reducing Data Movement for Transformers using Processing-in-Memory Ambit: In- memory accelerator for bulk bitwise operations using commodity dram technology,

Reference 35

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Observation 3051a0f9-9cb6-411c-8244-4b74a6b6bb23 · outbound

This paper cites Efficient attention: Attention with linear complexities,.

RED-PIM: Reducing Data Movement for Transformers using Processing-in-Memory Efficient attention: Attention with linear complexities,

Reference 36

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source=pdf_text observed=2026-08-01T06:59:53.791489Z digest=sha256:6af67e5468cecc54844d8d3c0e10190f1ff402b767f5206a84d8d43a8ac6924d

Observation aafc60fc-fb69-4995-8c51-0fedd44263df · outbound

This paper cites A dram-based near-memory architecture for accelerated and energy-efficient execution of transformers,.

RED-PIM: Reducing Data Movement for Transformers using Processing-in-Memory A dram-based near-memory architecture for accelerated and energy-efficient execution of transformers,

Reference 37

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source=pdf_text observed=2026-08-01T06:59:53.907997Z digest=sha256:c4a7677d2e1d27230b02553790e53364b061ff874f3aca9accab26f73bd2026a

Observation 60b5a18d-fa35-4baf-8a9d-18d17ae9670b · outbound

This paper cites Recursive deep models for semantic compositionality over a sentiment treebank,.

RED-PIM: Reducing Data Movement for Transformers using Processing-in-Memory Recursive deep models for semantic compositionality over a sentiment treebank,

Reference 38

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source=pdf_text observed=2026-08-01T06:59:53.998700Z digest=sha256:99010d75a0c1eed36266043ccc3a81065000834ccb60a8660950bc9b0cfc86d4

Observation d551fee9-959a-4839-a446-921c854d9e6b · outbound

This paper cites A 1.2 v 20 nm 307 gb/s hbm dram with at-speed wafer-level io test scheme and adaptive refresh considering temperature distribution,.

RED-PIM: Reducing Data Movement for Transformers using Processing-in-Memory A 1.2 v 20 nm 307 gb/s hbm dram with at-speed wafer-level io test scheme and adaptive refresh considering temperature distribution,

Reference 39

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source=pdf_text observed=2026-08-01T06:59:54.125853Z digest=sha256:763da66594d2fdd1ba6581de332ed30619b48807b6df9da21e6e0d242899d7d8

Observation 2ceb0f2d-70bb-4a8b-89cf-45b50d5a1266 · outbound

This paper cites X-former: In-memory acceleration of transformers,.

RED-PIM: Reducing Data Movement for Transformers using Processing-in-Memory X-former: In-memory acceleration of transformers,

Reference 40

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source=pdf_text observed=2026-08-01T06:59:54.182195Z digest=sha256:a0cef008b8ffb0880bafe3bbc9a1c302baa738e38489a6fea9bc51f54a2f9c70

Observation c8fa62f6-09a7-4ebe-bbe6-a9cefb50cc0f · outbound

This paper cites Multi-hop Reading Comprehension across Multiple Documents by Reasoning over Heterogeneous Graphs.

RED-PIM: Reducing Data Movement for Transformers using Processing-in-Memory Multi-hop Reading Comprehension across Multiple Documents by Reasoning over Heterogeneous Graphs

Reference 41

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source=pdf_text observed=2026-08-01T06:59:54.275083Z digest=sha256:d854c0cfcaad129127e45abb08df8a54084d0a9a53121e02c6fa07ed1869a308

Observation 181e9642-ed1b-408e-aced-3d68fc7ebe8e · outbound

This paper cites Attention is all you need,.

RED-PIM: Reducing Data Movement for Transformers using Processing-in-Memory Attention is all you need,

Reference 42

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source=pdf_text observed=2026-08-01T06:59:54.404767Z digest=sha256:f9e3ee00f896d38f279109ad3f8f2057ba14ff1a23facfbfd07fd4144944b61e

Observation d493c344-4bf9-4ded-8229-a6d341cb3aeb · outbound

This paper cites GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding.

RED-PIM: Reducing Data Movement for Transformers using Processing-in-Memory GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding

Reference 43

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source=pdf_text observed=2026-08-01T06:59:54.554747Z digest=sha256:6abf7aa74b391ef7c7ddfb198486828bca26b4dfe9b45d63a354b98e3de49b59

Observation 8fcffe3b-0164-4294-90e5-287dce16929e · outbound

This paper cites Deepnet: Scaling transformers to 1,000 layers,.

RED-PIM: Reducing Data Movement for Transformers using Processing-in-Memory Deepnet: Scaling transformers to 1,000 layers,

Reference 44

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source=pdf_text observed=2026-08-01T06:59:54.709908Z digest=sha256:1763acdcb7028b02194e54a9db8567e479974b50b03c84191c6befe303d9145d

Observation 7484562f-868a-4b0e-a5ba-8e4e96cb983f · outbound

This paper cites Neural network accept- ability judgments,.

RED-PIM: Reducing Data Movement for Transformers using Processing-in-Memory Neural network accept- ability judgments,

Reference 45

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source=pdf_text observed=2026-08-01T06:59:54.798914Z digest=sha256:99ced6caf9574e054ab164a98eb8a89a6125a1079aa8307c64a2269f809204a0

Observation 46db0ed6-e80a-4327-93ca-aa6cbe0044e6 · outbound

This paper cites A Broad-Coverage Challenge Corpus for Sentence Understanding through Inference.

RED-PIM: Reducing Data Movement for Transformers using Processing-in-Memory A Broad-Coverage Challenge Corpus for Sentence Understanding through Inference

Reference 46

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source=pdf_text observed=2026-08-01T06:59:54.886516Z digest=sha256:08882d7b6c171c7ab8991eff036de3aed8a686fcfa8916d1e024741a0d076e71

Observation a15b1501-795c-413b-92ff-e1bc188fc249 · outbound

This paper cites Grok by xai,.

RED-PIM: Reducing Data Movement for Transformers using Processing-in-Memory Grok by xai,

Reference 47

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source=pdf_text observed=2026-08-01T06:59:54.974762Z digest=sha256:8dd1afc22f4d8cded0ba30a5ed31818259f07df7e227bcbb7d1d5f9407d71805

Observation aafbfd74-bc08-4430-af70-913ca20ecbdf · outbound

This paper cites Retransformer: Reram-based processing-in-memory architecture for transformer acceleration,.

RED-PIM: Reducing Data Movement for Transformers using Processing-in-Memory Retransformer: Reram-based processing-in-memory architecture for transformer acceleration,

Reference 48

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source=pdf_text observed=2026-08-01T06:59:55.057382Z digest=sha256:1255a6693c1821ee20e93127935e1a5431cecf1658697b2b3a6c35770f1c7cd6

Observation 883e3dea-7f41-4248-a955-a3483783e4b3 · outbound

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

RED-PIM: Reducing Data Movement for Transformers using Processing-in-Memory Transpim: A memory- based acceleration via software-hardware co-design for transformer,

Reference 49

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source=pdf_text observed=2026-08-01T06:59:55.141428Z digest=sha256:4659cebbb35ecbb816014596558c4af7b6cca783e90f722182588e1ac2094a7d

Observation ad2008c8-bda4-4fdd-8672-37d03c4b0e0f · outbound

This paper cites Performance evaluation and optimization of hbm-enabled gpu for data-intensive applications,.

RED-PIM: Reducing Data Movement for Transformers using Processing-in-Memory Performance evaluation and optimization of hbm-enabled gpu for data-intensive applications,

Reference 50

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source=pdf_text observed=2026-08-01T06:59:55.220675Z digest=sha256:f06c652ae1162872031fccd41d178c4d65181f95a9d9331c4e1ba7e0e3c860de

Pith citing papers

No inbound Pith citation observations are available.