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Paper Citation Record · LEDGER

Generalized Ping-Pong: Off-Chip Memory Bandwidth Centric Pipelining Strategy for Processing-In-Memory Accelerators

As of 13 August 2026, this Paper Citation Record lists 31 of 31 outbound references and 0 inbound Pith citation observations for arXiv:2411.13054.

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

pith.paper-citation-record.v1
2411.13054 v1

Coverage vector

measured 31 of 31 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T16:58:15.719784Z

measured 31 of 31 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+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

31 of 31 outbound references displayed

  • verified exact0
  • verified fuzzy30
  • unresolved1
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 7eca4275-17a9-49e9-99db-0a0df4b2c361 · outbound

This paper cites OverlaPIM: Overlap optimization for processing in-memory neural network acceleration,.

Generalized Ping-Pong: Off-Chip Memory Bandwidth Centric Pipelining Strategy for Processing-In-Memory Accelerators OverlaPIM: Overlap optimization for processing in-memory neural network acceleration,

Reference 1

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verified fuzzy
raw_fallback, observed 2026-08-12T16:58:16.031252Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation efb35ac3-4ef2-4e0c-ae43-09cd1c6efc1f · outbound

This paper cites Gnndrive: Reducing memory contention and i/o congestion for disk-based gnn training,.

Generalized Ping-Pong: Off-Chip Memory Bandwidth Centric Pipelining Strategy for Processing-In-Memory Accelerators Gnndrive: Reducing memory contention and i/o congestion for disk-based gnn training,

Reference 2

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verified fuzzy
raw_fallback, observed 2026-08-12T16:58:16.021499Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T16:58:15.630195Z digest=sha256:1a37573ecc5ecfaef3756cff33e6d9be1338443fec6816b7457a69ef3d625428

Observation 11e0c85b-b71b-4e99-817d-454a9a30936e · outbound

This paper cites Illusion of large on-chip memory by networked computing chips for neural network inference,.

Generalized Ping-Pong: Off-Chip Memory Bandwidth Centric Pipelining Strategy for Processing-In-Memory Accelerators Illusion of large on-chip memory by networked computing chips for neural network inference,

Reference 3

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verified fuzzy
raw_fallback, observed 2026-08-12T16:58:16.011693Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T16:58:15.633821Z digest=sha256:b8b0be51a3d3d196bbf461d28d84b6c06fd1bfb3968ed3409b021ebb4ff1255e

Observation fee89178-e8a4-4165-aa1f-a7e745df92d0 · outbound

This paper cites Caffeine: Toward uniformed representation and acceleration for deep convolutional neural networks,.

Generalized Ping-Pong: Off-Chip Memory Bandwidth Centric Pipelining Strategy for Processing-In-Memory Accelerators Caffeine: Toward uniformed representation and acceleration for deep convolutional neural networks,

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T16:58:16.001977Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T16:58:15.637180Z digest=sha256:09084e03402d79fc57f93848e4afa88182bec290e4f016e6c7e01dfbf69f2559

Observation b02ef922-7555-4795-a9b5-03db0cd3bc99 · outbound

This paper cites A 12nm linux-smp-capable risc-v soc with 14 accelerator types, distributed hardware power management, and flexible noc-based data orchestration,.

Generalized Ping-Pong: Off-Chip Memory Bandwidth Centric Pipelining Strategy for Processing-In-Memory Accelerators A 12nm linux-smp-capable risc-v soc with 14 accelerator types, distributed hardware power management, and flexible noc-based data orchestration,

Reference 5

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verified fuzzy
raw_fallback, observed 2026-08-12T16:58:15.992698Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T16:58:15.640382Z digest=sha256:72227be48cf227d2916a85623abe8724c0b894fdd4486b5ac09ea9cc493ecce8

Observation b001cfe2-cabc-418c-a1fb-02382d3a038c · outbound

This paper cites Design and implementation of deep learning 2D convolutions on modern CPUs,.

Generalized Ping-Pong: Off-Chip Memory Bandwidth Centric Pipelining Strategy for Processing-In-Memory Accelerators Design and implementation of deep learning 2D convolutions on modern CPUs,

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T16:58:15.983410Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T16:58:15.643945Z digest=sha256:03bbe980adee771b7a9e0725bfaccaa6a13fb285d6cf9b07d2cbbbfe06767c40

Observation 88db6d77-3e7a-4613-8e31-8db5bc792312 · outbound

This paper cites Metis AIPU: A 12nm 15TOPS/W 209.6TOPS SoC for cost-and energy-efficient inference at the edge,.

Generalized Ping-Pong: Off-Chip Memory Bandwidth Centric Pipelining Strategy for Processing-In-Memory Accelerators Metis AIPU: A 12nm 15TOPS/W 209.6TOPS SoC for cost-and energy-efficient inference at the edge,

Reference 7

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verified fuzzy
raw_fallback, observed 2026-08-12T16:58:15.974674Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T16:58:15.647356Z digest=sha256:d2f671c49dae39fcd13d77decbc9772c92d7131e18ef15d71793d2f2bb06aff1

Observation 5889870f-0625-4b5b-8f6c-92e84d17e658 · outbound

This paper cites DaxVM: Stressing the limits of memory as a file interface,.

Generalized Ping-Pong: Off-Chip Memory Bandwidth Centric Pipelining Strategy for Processing-In-Memory Accelerators DaxVM: Stressing the limits of memory as a file interface,

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T16:58:15.965876Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T16:58:15.650235Z digest=sha256:4e1e8407782974c3e44a83be7d2d1ec04a9cf9a6eb2eb4c50355a59117766e48

Observation 974a3856-8642-456f-b126-71aed5755586 · outbound

This paper cites Digital in-memory computing to accelerate deep learning inference on the edge,.

Generalized Ping-Pong: Off-Chip Memory Bandwidth Centric Pipelining Strategy for Processing-In-Memory Accelerators Digital in-memory computing to accelerate deep learning inference on the edge,

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T16:58:15.957293Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T16:58:15.653307Z digest=sha256:6374cc2f5176ae9badad555b8b48de919e3346063a3a6f71255abf30f50296d0

Observation 4c50542e-1bc7-48a7-9cd8-f50705f8b117 · outbound

This paper cites ReTransformer: ReRAM- based processing-in-memory architecture for transformer acceleration,.

Generalized Ping-Pong: Off-Chip Memory Bandwidth Centric Pipelining Strategy for Processing-In-Memory Accelerators ReTransformer: ReRAM- based processing-in-memory architecture for transformer acceleration,

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T16:58:15.948223Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T16:58:15.656304Z digest=sha256:eef9fdaf1599451bde9201b28caa3b93f3982c4125850c14fd9a9d2b09cf9a98

Observation e2f04eae-6b9a-4c2e-820d-d8f9f59e3bca · outbound

This paper cites Lossless neural network model compression through exponent sharing,.

Generalized Ping-Pong: Off-Chip Memory Bandwidth Centric Pipelining Strategy for Processing-In-Memory Accelerators Lossless neural network model compression through exponent sharing,

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T16:58:15.939554Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T16:58:15.659299Z digest=sha256:64cde644207ff102936b7a2cec71df1531165c28a34edeaa74217198b4704ccb

Observation 0be6549d-61d1-483d-903a-91f7aefd5292 · outbound

This paper cites Ssr: Spatial sequential hybrid architecture for latency through- put tradeoff in transformer acceleration,.

Generalized Ping-Pong: Off-Chip Memory Bandwidth Centric Pipelining Strategy for Processing-In-Memory Accelerators Ssr: Spatial sequential hybrid architecture for latency through- put tradeoff in transformer acceleration,

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T16:58:15.930693Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T16:58:15.662337Z digest=sha256:1bcc15f4dfc7ae2a0f4465424516ba19b2e4c4ff45275040e36f74dde0331cf9

Observation 4e2a9903-01ea-4d5a-9c75-a32c6442e0bb · outbound

This paper cites On ex- ploiting patterns for robust fpga-based multi-accelerator edge computing systems,.

Generalized Ping-Pong: Off-Chip Memory Bandwidth Centric Pipelining Strategy for Processing-In-Memory Accelerators On ex- ploiting patterns for robust fpga-based multi-accelerator edge computing systems,

Reference 13

Resolution
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raw_fallback, observed 2026-08-12T16:58:15.921581Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T16:58:15.665164Z digest=sha256:f7f1b42f32c6e7b6231db42fcc8821206dad440073cfe682b7a7c57076c7fccb

Observation 49708621-14c7-4ed6-bde0-56ee8f6c20c7 · outbound

This paper cites an unresolved cited work.

Generalized Ping-Pong: Off-Chip Memory Bandwidth Centric Pipelining Strategy for Processing-In-Memory Accelerators Unresolved cited work

Reference 14

Resolution
unresolved
raw_fallback, observed 2026-08-12T16:58:15.912823Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T16:58:15.668266Z digest=sha256:8874bdb798f49b2d88bdfb9e492c8aaf34c2ad7a5b1b5b273fe90f725745be3e

Observation f594f250-01b7-40a6-bb95-2bf27d1bc04d · outbound

This paper cites Analysis of the critical bits of a RISC-V processor implemented in an SRAM-based FPGA for space applications,.

Generalized Ping-Pong: Off-Chip Memory Bandwidth Centric Pipelining Strategy for Processing-In-Memory Accelerators Analysis of the critical bits of a RISC-V processor implemented in an SRAM-based FPGA for space applications,

Reference 15

Resolution
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raw_fallback, observed 2026-08-12T16:58:15.904624Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T16:58:15.671116Z digest=sha256:b37de8890b9b74d64a942d73b467982e5884925d1b7ebbb0c48c856cd614489d

Observation 481f522c-c7ea-4a87-b4a2-0d38993266db · outbound

This paper cites PIMLC: Logic compiler for bit- serial based PIM,.

Generalized Ping-Pong: Off-Chip Memory Bandwidth Centric Pipelining Strategy for Processing-In-Memory Accelerators PIMLC: Logic compiler for bit- serial based PIM,

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T16:58:15.895752Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T16:58:15.674148Z digest=sha256:474464256d7481c9de22d4f7ac12f6861d399c3bac9148164ccc04b208191a90

Observation 0e10294b-ef67-4599-b5c6-76c75b21b5d8 · outbound

This paper cites A 1-16b reconfig- urable 80kb 7T SRAM-based digital near-memory computing macro for processing neural networks,.

Generalized Ping-Pong: Off-Chip Memory Bandwidth Centric Pipelining Strategy for Processing-In-Memory Accelerators A 1-16b reconfig- urable 80kb 7T SRAM-based digital near-memory computing macro for processing neural networks,

Reference 17

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verified fuzzy
raw_fallback, observed 2026-08-12T16:58:15.887316Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T16:58:15.677074Z digest=sha256:e0b84fee3843ecba6f3f4d073cb283f2c6a1d0cff0633de250fcec4fa446d5c6

Observation 69cfa663-19f9-4b17-aa5c-198bbec6bf04 · outbound

This paper cites A 1.041-Mb/mm 2 27.38- TOPS/W signed-INT8 dynamic-logic-based ADC-less SRAM compute- in-memory macro in 28nm with reconfigurable bitwise operation for AI and embedded applications,.

Generalized Ping-Pong: Off-Chip Memory Bandwidth Centric Pipelining Strategy for Processing-In-Memory Accelerators A 1.041-Mb/mm 2 27.38- TOPS/W signed-INT8 dynamic-logic-based ADC-less SRAM compute- in-memory macro in 28nm with reconfigurable bitwise operation for AI and embedded applications,

Reference 18

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verified fuzzy
raw_fallback, observed 2026-08-12T16:58:15.878458Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T16:58:15.680124Z digest=sha256:1274ddf7923cef114ffe6b0bc9493c56da692329dc355cb794e3fe19dba3496e

Observation 1ef22367-4281-453c-8e40-0d66452f8810 · outbound

This paper cites A flash-SRAM-ADC-fused plastic computing-in-memory macro for learning in neural networks in a standard 14nm FinFET process,.

Generalized Ping-Pong: Off-Chip Memory Bandwidth Centric Pipelining Strategy for Processing-In-Memory Accelerators A flash-SRAM-ADC-fused plastic computing-in-memory macro for learning in neural networks in a standard 14nm FinFET process,

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T16:58:15.869972Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T16:58:15.683002Z digest=sha256:4813cd85f0b3b3ffa793b53e7a88bb3883c08a3db6ca0dd392fd5e38d1006778

Observation 54973343-9362-44a7-9d07-2e5c745a5c46 · outbound

This paper cites Probabilistic compute-in-memory design for efficient markov chain monte carlo sampling,.

Generalized Ping-Pong: Off-Chip Memory Bandwidth Centric Pipelining Strategy for Processing-In-Memory Accelerators Probabilistic compute-in-memory design for efficient markov chain monte carlo sampling,

Reference 20

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verified fuzzy
raw_fallback, observed 2026-08-12T16:58:15.861200Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T16:58:15.685875Z digest=sha256:ecb310b65aab1e2041c085ec139caa649da197e20ed2a6c2b29ae14c07e6525f

Observation 027fef2e-a6bd-4d24-935e-0b2dd4cf4052 · outbound

This paper cites Parallelizing SRAM arrays with customized bit-cell for binary neural networks,.

Generalized Ping-Pong: Off-Chip Memory Bandwidth Centric Pipelining Strategy for Processing-In-Memory Accelerators Parallelizing SRAM arrays with customized bit-cell for binary neural networks,

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T16:58:15.851960Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T16:58:15.689099Z digest=sha256:4887c177984cfa00a1a72bff2a5ccd54c59cc22182ff65a30483ce60fe04531f

Observation a0f66966-cf74-4e08-889c-0f8f5859eb5e · outbound

This paper cites Agile software-hardware co-design of ai-centric heterogeneous socs,.

Generalized Ping-Pong: Off-Chip Memory Bandwidth Centric Pipelining Strategy for Processing-In-Memory Accelerators Agile software-hardware co-design of ai-centric heterogeneous socs,

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T16:58:15.842400Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T16:58:15.692250Z digest=sha256:b4d5abd0907ee7126e06f6a046be65467322362da6639aae6f17653400305aeb

Observation 22285e50-48b2-4d46-b37f-c43652360510 · outbound

This paper cites Hypar: Towards hybrid parallelism for deep learning accelerator array,.

Generalized Ping-Pong: Off-Chip Memory Bandwidth Centric Pipelining Strategy for Processing-In-Memory Accelerators Hypar: Towards hybrid parallelism for deep learning accelerator array,

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T16:58:15.833108Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T16:58:15.695156Z digest=sha256:669e52a17bcb0149cc9737f41622099b7e588cb952f5af61f653c4c1fd040bad

Observation a5e8a2db-e871-4694-8e93-a05755225e3f · outbound

This paper cites Neural network training on in-memory- computing hardware with radix-4 gradients,.

Generalized Ping-Pong: Off-Chip Memory Bandwidth Centric Pipelining Strategy for Processing-In-Memory Accelerators Neural network training on in-memory- computing hardware with radix-4 gradients,

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T16:58:15.822247Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T16:58:15.698100Z digest=sha256:27f84d7bac283f3c684b2370cf8c6e4efd50b56aaca57e1e40d9e825e325a2ae

Observation b9b677f6-d0f4-4aba-bfbe-9dd777867d51 · outbound

This paper cites Fpga/dnn co-design: An efficient design methodology for iot intelligence on the edge,.

Generalized Ping-Pong: Off-Chip Memory Bandwidth Centric Pipelining Strategy for Processing-In-Memory Accelerators Fpga/dnn co-design: An efficient design methodology for iot intelligence on the edge,

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T16:58:15.812411Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T16:58:15.701117Z digest=sha256:e2743fe2d76ef80721bf5004f35bf4210d4f55361b5585d4f749b0ec48763a57

Observation 7f753db8-1595-42a2-accc-bc84f2e38c08 · outbound

This paper cites Cloud-dnn: An open framework for mapping dnn models to cloud fpgas,.

Generalized Ping-Pong: Off-Chip Memory Bandwidth Centric Pipelining Strategy for Processing-In-Memory Accelerators Cloud-dnn: An open framework for mapping dnn models to cloud fpgas,

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T16:58:15.801879Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T16:58:15.704114Z digest=sha256:45c0edbc4618fcb143516b48f6d1a9913b358b30fe1d01f953cc3d2877c440a8

Observation 9acbad7e-6957-495d-89a6-027df5d9931f · outbound

This paper cites Acgraph: Accelerating streaming graph processing via dependence hier- archy,.

Generalized Ping-Pong: Off-Chip Memory Bandwidth Centric Pipelining Strategy for Processing-In-Memory Accelerators Acgraph: Accelerating streaming graph processing via dependence hier- archy,

Reference 27

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verified fuzzy
raw_fallback, observed 2026-08-12T16:58:15.791676Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T16:58:15.707269Z digest=sha256:4478889956e092c4ca1c793f6e9a4710bc15e9f533905cf63a2c068c3edb17d5

Observation d4860e72-9af7-4e3c-ae88-675d78875894 · outbound

This paper cites Hardware/software co-design for machine learn- ing accelerators,.

Generalized Ping-Pong: Off-Chip Memory Bandwidth Centric Pipelining Strategy for Processing-In-Memory Accelerators Hardware/software co-design for machine learn- ing accelerators,

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T16:58:15.781925Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T16:58:15.710376Z digest=sha256:af26fd971f885cd9588a6ceaf723942a20dcb390281a26ce3f035064e383387d

Observation 79bdbb47-33e7-45ef-9e9c-9d1aeb9fb59e · outbound

This paper cites PUMA: A programmable ultra-efficient memristor-based accelerator for machine learning inference,.

Generalized Ping-Pong: Off-Chip Memory Bandwidth Centric Pipelining Strategy for Processing-In-Memory Accelerators PUMA: A programmable ultra-efficient memristor-based accelerator for machine learning inference,

Reference 29

Resolution
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raw_fallback, observed 2026-08-12T16:58:15.772289Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T16:58:15.713393Z digest=sha256:ffb30c57754bd34422b4b7e7d699d9899b6663eab6d549a00d6aa4996d37eb62

Observation f8544481-19e7-4da3-b2ed-4d1564a067f2 · outbound

This paper cites Hybrid-DBT: Hardware/software dynamic binary translation targeting VLIW,.

Generalized Ping-Pong: Off-Chip Memory Bandwidth Centric Pipelining Strategy for Processing-In-Memory Accelerators Hybrid-DBT: Hardware/software dynamic binary translation targeting VLIW,

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T16:58:15.762534Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T16:58:15.716711Z digest=sha256:35133e15c018d457ceb89b269391fb5c826db2dc5042d012d2c75f875ae069dc

Observation 91cd331c-1c38-40a0-8ca2-26ba5d0f5f8e · outbound

This paper cites Blas (basic linear algebra subprograms),.

Generalized Ping-Pong: Off-Chip Memory Bandwidth Centric Pipelining Strategy for Processing-In-Memory Accelerators Blas (basic linear algebra subprograms),

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T16:58:15.751395Z

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source=pdf_text observed=2026-08-12T16:58:15.719784Z digest=sha256:15305ff2a7a2d7a9634793a1f15e5d646b4e966b2b232a55b9ef5d93072474d4

Pith citing papers

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