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Paper Citation Record · LEDGER

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

As of 9 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 2026-08-09T06:31:02.800959+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:e0a71251c7f9633af20961503cb01f37cf22626f825fe5fdaf00d15890325709

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=sha256:1d4d5a1d5eb14a12f2a3024931e7956b3513252c3b70352e456d8e85739af4c8

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=sha256:5340b04ed0d5fc7dc2d0e36e1fdec1ea81f0100b7264d304279b4739892749a3

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:a0e60d60389284a0752b97d46f346777b538cc51631f1457a240250d1ab69a1e

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:f37bfc892ab5b4e00845195e6abbf4398ae670d8b5fef5454640952a7a77ed74

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:b23f2c613c09ea783fac3948afb21b9c28aeda3ac7fd882cf151ddf2fcf7b23f

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=sha256:862a09ee86be1299326bd092aacbc4c0a139509f2a145bc916871c0f503776cc

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=sha256:55a1ceb0bd051c7f7f29b814586a3f50c679a7955b73f8cfef274effdf9b5200

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:ac8ed704b90fc947f66c5162ffca58580b448370a9b9becc0020d91b9f06be2b

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:c9f4a0fdc0dca675a2e3b0e46781cf1adda8ea7cb7259f114ef256f7eb8e1b54

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=sha256:5866827cf72abcd2cff435a5c9039035d214ed9f2b455afadbeca58d0d3362b1

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:a49f4a3007f02d6a1b58cd298dfe90aa6f1dfccff6cd686de75d98ad4977a2ad

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=sha256:3fffc0d9559b4b0838b9930cc021b680bd915074bf3144bce19cdc056f865b71

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=sha256:773c9b56fde35ec37047fcab00c1d3e7d142cbc04ede5906d61a9d754b19b0e4

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=sha256:0324a581dfeab38a73641e1b3d9c633e739b5636b3a3bdda31334a893d9d9517

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:b5912f725412eca7ae8e4d6dc92ee3f35a95e20fd126af206242a4cf57e04c04

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=sha256:90030e37c14fb3a54d96b17466978eee2c611cbe9ba8c5520c45c9c9bcc2a9b5

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:de51fbfa64d64b293d8d36b400be3da29e0e05a28a86b0f51d88b373236ea484

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:f5c858d4b56b26b050fe70082124d8dbee0ee4d949afdb330e54f78e5cf30c10

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=sha256:2480e17c0b132d95de397f8e055824dae00a59c0e00bad71768c5014e3ba6092

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=sha256:7b91d9964775dd3724cda494d78b0427926c6fc5210b5567ffddb95bc96adb6b

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=sha256:0f1de58a9cd3a606f99db0464ba390210d892bd095706dc2c545c53eb85b7bbe

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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source=pdf_text observed=2026-08-01T06:59:52.878677Z digest=sha256:0e9d13a431fe12a82c80c4e16c16a87b6e69363218267d06c0a27524cd1d93cf

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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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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source=pdf_text observed=2026-08-01T06:59:53.277054Z digest=sha256:31e42c9ee91ffb0221fac1e97cc0d4f261c53131c77402862726f629252b143b

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:d37b13de451d3816688e22b8a3eeba6b686386e68730c542156e7e0c66783677

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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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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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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source=pdf_text observed=2026-08-01T06:59:53.655940Z digest=sha256:117e23634a80ffedb4484dc080e7ced01cf900b9cdf6ae7fa44274918f150390

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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source=pdf_text observed=2026-08-01T06:59:53.736963Z digest=sha256:7baf2612026d22f75e4c39efaae892bfd9254b6604518931a76e95e2522f9563

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=sha256:95fda3f8cd0d2e867cf5ddb5ffe941dd6b9c8f645e536f5d1696172e26344f5e

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=sha256:453b1d257d935238595da3ebd8d956241a25e3c0006935e1b01d1a87069b71f8

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=sha256:786f44f0d567fc846e1c1846eaba11394853bdda7c7f5fa0875ff070cbff6b32

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=sha256:0b18c855436223e573d0fc98b611e5aabcda34a5d007bac11209380badc1f840

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=sha256:6be2c8bb1c65633e83beba611d6bc67dea4a4d7101e10d16e44d194318270028

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:f157bbff7be9b2c1033ab88e4c836ea3ecc2b9916c210f1812649ddcfa2d496f

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:d2568fc7ea32b6b056bfaa28326f885a57d377f16a18edff265b7664f2c34515

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=sha256:804b771fb084dd640bc7c2866b161c8b871eb58d941cff76af64f7cfc9ccd0d9

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=sha256:41ed10b2a1d90f84bac580d056d81532fc18d10b30309cf1436017aa2a8ac8c4

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:b90932854cf14624996e56f47e0c0d3c7f28158f6d4b76c8ebbf3322afc58841

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=sha256:90c012edacac93b51841af277e5d5303316474569d7f3f76fca4bf55c18c9591

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:fe12c7186a3edc6f076f2d2fee014a9bad99320ac8aecf742a101fbf1a641957

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=sha256:067c3fab4fd4ad41084270f4039e3c3672763a1acb3b7f050a48f5db5dd350eb

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=sha256:1977aecf3680642c0c689ee1487380568d34340cf7386a2976dba44c77b02428

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:b47200bf32067db7516c2a13740e73395c28968b6149082e7a7751f72baff81d

Pith citing papers

No inbound Pith citation observations are available.