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Paper Citation Record · LEDGER

Dissecting the NVIDIA Blackwell Architecture with Microbenchmarks

As of 9 August 2026, this Paper Citation Record lists 32 of 32 outbound references and 6 inbound Pith citation observations for arXiv:2507.10789.

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

pith.paper-citation-record.v1
2507.10789 v2

Coverage vector

measured 32 of 32 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T17:31:28.806631Z

measured 38 of 38 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 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T09:57:22.112757Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T17:05:50.958147Z

Reference resolution

32 of 32 outbound references displayed

  • verified exact2
  • verified fuzzy13
  • unresolved15
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 67c12c40-bda7-44ce-a59a-883b1a6154e2 · outbound

This paper cites Profiling general purpose gpu applications,.

Dissecting the NVIDIA Blackwell Architecture with Microbenchmarks Profiling general purpose gpu applications,

Reference 1

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verified fuzzy
raw_fallback, observed 2026-08-06T17:31:33.277248Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T17:31:25.931712Z digest=sha256:5c623de812b7be23df8086558915ea33b8566b3b7a53a59c6755d2f39e8f0ebb

Observation 636fafbd-fd30-4670-99b9-bb859b2c5c59 · outbound

This paper cites Metrics and Design of an Instruction Roofline Model for AMD GPUs.

Dissecting the NVIDIA Blackwell Architecture with Microbenchmarks Metrics and Design of an Instruction Roofline Model for AMD GPUs

Reference 2

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verified exact
local_arxiv, observed 2026-08-06T17:31:29.730486Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T17:31:26.015343Z digest=sha256:df10e0b42375dc331379623a7040419e310e633bb18c2bcd0eb4e98fecd5abc0

Observation 984eded7-f0bd-4152-b329-ecf604d5087d · outbound

This paper cites An analytical model for a gpu architecture with memory-level and thread-level parallelism awareness,.

Dissecting the NVIDIA Blackwell Architecture with Microbenchmarks An analytical model for a gpu architecture with memory-level and thread-level parallelism awareness,

Reference 3

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no resolver link, observed 2026-08-06T17:31:26.143528Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:31:26.143528Z digest=sha256:4f0953560a7d85d3dbf9e1cae5a16d9dfd6a3425d7e70a7241c8f330dcfdb5bb

Observation 201d46bf-6c4e-4c1e-bd7b-b30e1b962b05 · outbound

This paper cites Characterizing and improving the use of demand-fetched caches in gpus,.

Dissecting the NVIDIA Blackwell Architecture with Microbenchmarks Characterizing and improving the use of demand-fetched caches in gpus,

Reference 4

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metadata mismatch
raw_fallback, observed 2026-08-06T17:31:29.535656Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T17:31:26.281877Z digest=sha256:9dda23952ad434ca3c430fb94da475b831ef424ed51e505069b052bde1897354

Observation 00e533cd-0025-44e2-9124-594e9b9fca21 · outbound

This paper cites Demystifying gpu microarchitecture through microbenchmarking,.

Dissecting the NVIDIA Blackwell Architecture with Microbenchmarks Demystifying gpu microarchitecture through microbenchmarking,

Reference 5

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verified fuzzy
raw_fallback, observed 2026-08-06T17:31:33.005857Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T17:31:26.393287Z digest=sha256:a00deae47e6cc7e2f3c5e44df638210184f9c6bc789e77e4e3b17a542628f841

Observation 5ba69407-4598-451f-9094-e167f2cc6f44 · outbound

This paper cites Architectural analysis and performance characterization of nvidia gpus using microbenchmarking,.

Dissecting the NVIDIA Blackwell Architecture with Microbenchmarks Architectural analysis and performance characterization of nvidia gpus using microbenchmarking,

Reference 6

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raw_fallback, observed 2026-08-06T17:31:32.775929Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T17:31:26.463259Z digest=sha256:d5dd9e4114251948b95279841b93997450278e8e094b037fdd2a1c86d1e002b6

Observation 3c8887ad-961f-4d04-bde3-65fe63aeaf23 · outbound

This paper cites Dissecting the NVIDIA Volta GPU Architecture via Microbenchmarking.

Dissecting the NVIDIA Blackwell Architecture with Microbenchmarks Dissecting the NVIDIA Volta GPU Architecture via Microbenchmarking

Reference 7

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no resolver link, observed 2026-08-06T17:31:26.627631Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:31:26.627631Z digest=sha256:4f87836c15c3af209c529876575c8db96ac5508d51432fc1cff0198b8b029f42

Observation 960e8bc9-474a-4be0-afd7-896d3e088478 · outbound

This paper cites Dissecting the NVIDIA Hopper Architecture through Microbenchmarking and Multiple Level Analysis.

Dissecting the NVIDIA Blackwell Architecture with Microbenchmarks Dissecting the NVIDIA Hopper Architecture through Microbenchmarking and Multiple Level Analysis

Reference 9

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no resolver link, observed 2026-08-06T17:31:26.949092Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:31:26.949092Z digest=sha256:57c13f03412be3220f86b80c12f0dbf19a42752f49a197073f05d08e5e89534d

Observation a62b9f9d-2350-48bb-8034-fcfd30e9f288 · outbound

This paper cites an unresolved cited work.

Dissecting the NVIDIA Blackwell Architecture with Microbenchmarks Unresolved cited work

Reference 10

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raw_fallback, observed 2026-08-06T17:31:32.406944Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T17:31:27.044786Z digest=sha256:0a194de8a03181789313d8ffd727047568ab07219ca26b3b4a9e8a8cdd96fe05

Observation 4ccbfc41-36e3-4b97-b78e-e9e06cec3c74 · outbound

This paper cites an unresolved cited work.

Dissecting the NVIDIA Blackwell Architecture with Microbenchmarks Unresolved cited work

Reference 11

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raw_fallback, observed 2026-08-06T17:31:32.203184Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T17:31:27.133971Z digest=sha256:e2906691d74999790dc523e9f151d7eff4bfb679c6d95cdcff2c56357b989567

Observation 2431d17e-58fa-4481-a237-9a5450a51f40 · outbound

This paper cites Understanding data movement in tightly coupled heterogeneous systems: A case study with the grace hopper superchip,.

Dissecting the NVIDIA Blackwell Architecture with Microbenchmarks Understanding data movement in tightly coupled heterogeneous systems: A case study with the grace hopper superchip,

Reference 12

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no resolver link, observed 2026-08-06T17:31:27.229086Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:31:27.229086Z digest=sha256:b8229a392350757c09691d652c76199790dd1d9b3bf4959c7097c68614f674ca

Observation 5dc0d7e9-e06b-4b96-9d6e-fd174ef5e991 · outbound

This paper cites [Online].

Dissecting the NVIDIA Blackwell Architecture with Microbenchmarks [Online]

Reference 13

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verified fuzzy
raw_fallback, observed 2026-08-06T17:31:32.021593Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T17:31:27.419050Z digest=sha256:d6f592dde9ef1c99cfe2be47a2e4301410c1c882d68d4a2dd76fe3e6db4c210d

Observation f2af79b3-69b8-494b-b6a0-020bd2f432c3 · outbound

This paper cites Understanding the gpu microarchitecture to achieve bare-metal performance tuning,.

Dissecting the NVIDIA Blackwell Architecture with Microbenchmarks Understanding the gpu microarchitecture to achieve bare-metal performance tuning,

Reference 14

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unresolved
no resolver link, observed 2026-08-06T17:31:27.485337Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:31:27.485337Z digest=sha256:c399e9c6afea9b4723b82f6a1ba36dfbd728a6d69c8a7f31dc732cdc1708b968

Observation 40a568a5-ac13-42c1-bebf-2418c7c5d2d4 · outbound

This paper cites Dissecting gpu memory hierarchy through mi- crobenchmarking,.

Dissecting the NVIDIA Blackwell Architecture with Microbenchmarks Dissecting gpu memory hierarchy through mi- crobenchmarking,

Reference 15

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verified fuzzy
raw_fallback, observed 2026-08-06T17:31:31.851455Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T17:31:27.593383Z digest=sha256:da8b2202737ca7a0e6fda621b6890beaa5f02fd20d9a072b07b854201c8add00

Observation 132bf63b-8139-4465-8452-ac61c423794b · outbound

This paper cites Numerical behavior of NVIDIA tensor cores,.

Dissecting the NVIDIA Blackwell Architecture with Microbenchmarks Numerical behavior of NVIDIA tensor cores,

Reference 16

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no resolver link, observed 2026-08-06T17:31:27.667099Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:31:27.667099Z digest=sha256:cb7488b059123702e538f9f4693728d5c57c1993142bb582df29d4202891c974

Observation 84264d09-3d3f-4713-9eab-3edec88cab66 · outbound

This paper cites Fast implementation of dgemm on fermi gpu,.

Dissecting the NVIDIA Blackwell Architecture with Microbenchmarks Fast implementation of dgemm on fermi gpu,

Reference 17

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unresolved
no resolver link, observed 2026-08-06T17:31:27.714545Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:31:27.714545Z digest=sha256:207d53fa6d3af9786c93ed958d3b5ba9d61850ebb8a06cb41ded084ea84ef068

Observation c951a3e7-936b-4ea9-ba82-19ddb1e21ed6 · outbound

This paper cites Nvidia tensor core programmability, performance & precision,.

Dissecting the NVIDIA Blackwell Architecture with Microbenchmarks Nvidia tensor core programmability, performance & precision,

Reference 18

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no resolver link, observed 2026-08-06T17:31:27.790959Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:31:27.790959Z digest=sha256:23303e18ec9b83459a121cbb809f58c614670b4d6db3bfd99cadc10b6f5c1917

Observation 23484e40-b4cc-48ba-a6d5-001cbe9454ed · outbound

This paper cites Benchmarking the nvidia v100 gpu and tensor cores,.

Dissecting the NVIDIA Blackwell Architecture with Microbenchmarks Benchmarking the nvidia v100 gpu and tensor cores,

Reference 19

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verified fuzzy
raw_fallback, observed 2026-08-06T17:31:31.626019Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T17:31:27.906695Z digest=sha256:684edc71099e28de9d6bd2938803e77b1c4ff52b80f5c534f8b48961b5a88f7f

Observation 3c683e19-9634-4d07-95fe-d6b1dcd0ef28 · outbound

This paper cites Modeling deep learning accelerator enabled gpus,.

Dissecting the NVIDIA Blackwell Architecture with Microbenchmarks Modeling deep learning accelerator enabled gpus,

Reference 20

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raw_fallback, observed 2026-08-06T17:31:31.433142Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T17:31:27.986932Z digest=sha256:8f0db1ebc191175b212fafc9c15b1dae0ab16ce374d2d4a43a9f452834bccf52

Observation e665ae65-5222-41aa-9e8f-14462d7e1a29 · outbound

This paper cites Demystifying tensor cores to optimize half-precision matrix multiply,.

Dissecting the NVIDIA Blackwell Architecture with Microbenchmarks Demystifying tensor cores to optimize half-precision matrix multiply,

Reference 21

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verified fuzzy
raw_fallback, observed 2026-08-06T17:31:31.217629Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T17:31:28.074185Z digest=sha256:4af5050117d4760642f5eaaf8a5d9347472fed117a8be256ed735ba39aeb1870

Observation 3378fd4d-6319-4377-9ff0-19c40d0a0a57 · outbound

This paper cites Dissecting tensor cores via microbenchmarks: Latency, throughput and numeric behaviors,.

Dissecting the NVIDIA Blackwell Architecture with Microbenchmarks Dissecting tensor cores via microbenchmarks: Latency, throughput and numeric behaviors,

Reference 22

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raw_fallback, observed 2026-08-06T17:31:30.954258Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T17:31:28.140350Z digest=sha256:2ab58cb10077afadb7f96282170f23811f7ae7b7dc30ebe3d157f574ec36a38f

Observation d15e856c-4c59-4979-965c-2d42f9da5041 · outbound

This paper cites Accel-sim: An extensible simulation framework for validated gpu modeling,.

Dissecting the NVIDIA Blackwell Architecture with Microbenchmarks Accel-sim: An extensible simulation framework for validated gpu modeling,

Reference 23

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no resolver link, observed 2026-08-06T17:31:28.221773Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:31:28.221773Z digest=sha256:13247ed076c2f98652ba77d9cf2ac725978f4ca4d585d11cc271a6c454268cdd

Observation ec082a6b-5004-45c6-a31a-6167ab8f25b8 · outbound

This paper cites Gcom: a detailed gpu core model for accurate analytical modeling of modern gpus,.

Dissecting the NVIDIA Blackwell Architecture with Microbenchmarks Gcom: a detailed gpu core model for accurate analytical modeling of modern gpus,

Reference 24

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no resolver link, observed 2026-08-06T17:31:28.312704Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:31:28.312704Z digest=sha256:9879b1bc84ac2238ba6a8f9a44ef9963310f80037f1f7a3d6072aec5e248aaf0

Observation 69fe5f99-3eb7-4e2b-a8ab-ab518409f0d3 · outbound

This paper cites LLMPerf: GPU Performance Modeling meets Large Language Models.

Dissecting the NVIDIA Blackwell Architecture with Microbenchmarks LLMPerf: GPU Performance Modeling meets Large Language Models

Reference 25

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verified exact
local_arxiv, observed 2026-08-06T17:31:29.005108Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T17:31:28.397734Z digest=sha256:0c9abc26d6f2d117d346581936647ddc1afa5f26fae7a1f25b6bc8249494b3b8

Observation 96371513-3f4d-4cfd-8a24-cb661231a981 · outbound

This paper cites [Online].

Dissecting the NVIDIA Blackwell Architecture with Microbenchmarks [Online]

Reference 26

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verified fuzzy
raw_fallback, observed 2026-08-06T17:31:30.621015Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T17:31:28.485635Z digest=sha256:ec25fbafe8a1036187af1f0ebba8b5f9b4e28b92f200d8c39981482cf6a1cb08

Observation f39af38b-56ce-4a1d-b33a-8629f890000b · outbound

This paper cites A performance model for gpus with caches,.

Dissecting the NVIDIA Blackwell Architecture with Microbenchmarks A performance model for gpus with caches,

Reference 27

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raw_fallback, observed 2026-08-06T17:31:30.324306Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T17:31:28.571883Z digest=sha256:ad0fb6032b3edce302230f95b16eb06d1f5cb15690451288a65693a3a9f367c7

Observation 30324182-4879-4a73-96b2-81ce2bd0978f · outbound

This paper cites [Online].

Dissecting the NVIDIA Blackwell Architecture with Microbenchmarks [Online]

Reference 28

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verified fuzzy
raw_fallback, observed 2026-08-06T17:31:29.925208Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T17:31:28.640124Z digest=sha256:eff99dbda3d59ce7d3c18a74aa213feddb8b0ced8e8a2af138810a56c6d945dc

Observation c14e5696-f1cf-445e-b93e-e9dbc45f6152 · outbound

This paper cites [Online].

Dissecting the NVIDIA Blackwell Architecture with Microbenchmarks [Online]

Reference 29

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malformed identifier
raw_fallback, observed 2026-08-06T17:31:29.855522Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T17:31:28.718113Z digest=sha256:84b51d8b8afe093045951a50726a8ea4eb6f9bea4e3467a914d14ad142af1178

Observation 2c22c44d-057f-43bb-8c48-183aa1f861b6 · outbound

This paper cites GPT-NeoX-20B: An Open-Source Autoregressive Language Model.

Dissecting the NVIDIA Blackwell Architecture with Microbenchmarks GPT-NeoX-20B: An Open-Source Autoregressive Language Model

Reference 30

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:31:28.806631Z digest=sha256:e91a7a9c663d7f34f31d1dbce0cfbe5531a00a4db0ea659c256dd1c2701017db

Observation f8cf9ea6-afc5-486a-8bd7-492c71d4ca3b · outbound

This paper cites Available: http://rave.ohiolink.edu/etdc/view?acc num= osu1344623484.

Dissecting the NVIDIA Blackwell Architecture with Microbenchmarks Available: http://rave.ohiolink.edu/etdc/view?acc num= osu1344623484

Reference 2012

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verified fuzzy
raw_fallback, observed 2026-08-06T17:31:32.609407Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T17:31:26.541219Z digest=sha256:c9680c85913a6caf4ed6af35b0b8563b6f6a455966344fc5fb71ae6d23802a4a

Observation 22e3f90b-8e0d-4004-9cad-73c0ce5543ac · outbound

This paper cites Dissecting the NVidia Turing T4 GPU via Microbenchmarking.

Dissecting the NVIDIA Blackwell Architecture with Microbenchmarks Dissecting the NVidia Turing T4 GPU via Microbenchmarking

Reference 2019

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unresolved
no resolver link, observed 2026-08-06T17:31:26.853075Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:31:26.853075Z digest=sha256:df3696844ad11c73cf9de39084200e01ce0b96996893e18052266f0aa8a4df09

Observation a0ad6e49-3387-4b55-9497-ee5699b9b76e · outbound

This paper cites Understanding Data Movement in Tightly Coupled Heterogeneous Systems: A Case Study with the Grace Hopper Superchip.

Dissecting the NVIDIA Blackwell Architecture with Microbenchmarks Understanding Data Movement in Tightly Coupled Heterogeneous Systems: A Case Study with the Grace Hopper Superchip

Reference 2024

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no resolver link, observed 2026-08-06T17:31:27.353692Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:31:27.353692Z digest=sha256:c6ef592ddd5739dae0e64d9bcf405b086e9c010431c8c3844836cb8795088089

Pith citing papers

Observation d7fe4ff6-b0bc-4f74-8631-d1faa24ee416 · inbound

Accelerating Bidiagonalization of Banded Matrices through Memory-Aware Bulge-Chasing on GPUs cites this paper.

Accelerating Bidiagonalization of Banded Matrices through Memory-Aware Bulge-Chasing on GPUs Dissecting the NVIDIA Blackwell Architecture with Microbenchmarks

Reference 76

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no resolver link, observed 2026-08-04T09:57:22.112757Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T09:57:22.112757Z digest=sha256:a6e630a8b879d5f5894eafd61807a8d37ee13e6f35ec88012bdb5aeba5db4d24

Observation da96c86b-22b2-4ff8-9e88-60748487abce · inbound

Accurate Models of NVIDIA Tensor Cores cites this paper.

Accurate Models of NVIDIA Tensor Cores Dissecting the NVIDIA Blackwell Architecture with Microbenchmarks

Reference 31

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verified exact
arxiv_id, observed 2026-05-17T00:53:46.105970Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-17T00:53:35.862959Z digest=sha256:33615aa58e864e05bab94af4dd6c1d42cce6ca21b49ce51a92a10c26edca6d6a

Observation bafae1aa-1a2f-471d-9e7e-2927fa5d8671 · inbound

Accurate Models of NVIDIA Tensor Cores cites this paper.

Accurate Models of NVIDIA Tensor Cores Dissecting the NVIDIA Blackwell Architecture with Microbenchmarks

Reference 30

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unresolved
no resolver link, observed 2026-08-03T18:05:59.455441Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T18:05:59.455441Z digest=sha256:b66f7cfa4710911a8842d35c40d36499a2418b06392d2749842c8600bd8e93c6

Observation 3bc3f4bd-ec76-4c03-9445-6c45af6ef8b2 · inbound

Sim-FA: A GPGPU Simulator Framework for Fine-Grained Asynchronous Pipeline Analysis cites this paper.

Sim-FA: A GPGPU Simulator Framework for Fine-Grained Asynchronous Pipeline Analysis Dissecting the NVIDIA Blackwell Architecture with Microbenchmarks

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-05-11T16:06:27.726065Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-09T18:43:06.803528Z digest=sha256:f3867836e4e7be48826712da01ca9c4d6fee3a983eda5e206b55ad3c4d5f927a

Observation 4379eaac-db32-445f-89e3-d2069ef79288 · inbound

Sim-FA: A GPGPU Simulator Framework for Fine-Grained Asynchronous Pipeline Analysis cites this paper.

Sim-FA: A GPGPU Simulator Framework for Fine-Grained Asynchronous Pipeline Analysis Dissecting the NVIDIA Blackwell Architecture with Microbenchmarks

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-02T15:09:43.052206Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T15:09:43.052206Z digest=sha256:478f901f6b8115bd22515e51abf748b84d357c2e207fd384ec9c164165154629

Observation d3d55659-fe2b-43c0-bc61-fbdb0c181856 · inbound

Self-Verifying Measurement Records: Hash-Linked Evidence Graphs for Hardware Benchmarking cites this paper.

Self-Verifying Measurement Records: Hash-Linked Evidence Graphs for Hardware Benchmarking Dissecting the NVIDIA Blackwell Architecture with Microbenchmarks

Reference 22

Resolution
verified exact
arxiv_id, observed 2026-07-01T17:05:50.959483Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-29T04:14:11.793614Z digest=sha256:07451711370f31a4cd0ea1f00b7f2e303ee0c2ce3a6cb698b8b1a3eed2c9e25e