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Paper Citation Record · LEDGER

Dissecting the NVIDIA Blackwell Architecture with Microbenchmarks

As of 19 August 2026, this Paper Citation Record lists 32 of 32 outbound references and 7 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 39 of 39 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T00:35:55.901736Z

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T17:31:25.931712Z digest=sha256:37436c7a0abaca1622eca354d4f043e8ab400c04d8a96cd96fc45a977aa60920

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T17:31:26.015343Z digest=sha256:ff0b6f852c2a9f3bcf58b75f5d11e4c80eb3936fe712f231b10992f971dc488f

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:d35d78e6f2271e1f9fb3a5855184c5ac94b3213003ed28640a89a1f58760c34a

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T17:31:26.281877Z digest=sha256:87d4b2e545087500cd89f0a108b08ffb825bb2b9d482e5194d4fc527f7bc1d16

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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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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T17:31:26.393287Z digest=sha256:74ab89fe3c6e8e1384eda47e25b6593f11c815f40318eee7cdec8e7e52b4c09f

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T17:31:26.463259Z digest=sha256:c503f982c1565ee48d1d769997d6da45d110b4acfcab9f904869dd9771c5ab1d

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=sha256:764f44e8bdcfd34f7bf43bb51ba6cb936b4c8d23a8fa6ea594de489f039bfdaf

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=sha256:70d0077d0868ddba0fa6f086bec6212489db7d54866f7b68096c73bb346e64eb

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T17:31:27.044786Z digest=sha256:7d1575ca986dcc3b3283c5dae8e4b8d02abc5b7ecdbfeb026e784f0ea7914e15

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T17:31:27.133971Z digest=sha256:8a45d79ed22b1bd33a59e89e85d6ac2c74f3d752824ae9efd2d911977b4c7ec7

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=sha256:19dff13a546c2ee8bda03b152cf8d7a42476df262e0495150717c155b2e71afb

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T17:31:27.419050Z digest=sha256:f7b11898574858bee224eb658c9b1bcbb5a86e4511d18880ab0da9b81252b654

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=sha256:8d55a3fcb67f4520aae99a3476ca3cead4f992558101d99a6d6834454398007b

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T17:31:27.593383Z digest=sha256:e019fe79e90cae18cd5ae78efcb05f87e344e3b3ce08c398f645848235a2704d

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:eb2616bd0842a3b845fe243c2f8f037c3eb1b807313de7abd6e1fc0e50d8d237

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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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=sha256:6eeb5264a9de34009304f84fc55318eb493d44321d32b1f89e9cc190f056a0f1

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=sha256:38cdf0e89069c8bbd5d2a7c016975dbcadab9cb8d58d2825b9541afbc10617b5

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T17:31:27.906695Z digest=sha256:fe5417e0b50942ec04275abb29c17ba979610a67a44763b27a8f5b80797814e7

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T17:31:27.986932Z digest=sha256:9e5452d2fb7ca95b5e7b59bb901f78731eae6ef1f5f1567d40aad51bf57035d2

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T17:31:28.074185Z digest=sha256:9445c25a1d97652834332e6b9211bd078ae8ab92688377a87348a653935506c7

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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verified fuzzy
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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T17:31:28.140350Z digest=sha256:9608019347218806775200e39c60e7072ed0863301f79b5f622e42207f830645

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=sha256:7dfc7f0d39d2fb2b14a091f5f8a23cc6b5054be563e2556c0c5f421b37125f33

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:f4f352915959639400cf5f2d216bf9c0b5dab699c7cb06523fffec74a9ebb7f0

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T17:31:28.397734Z digest=sha256:a632636a67de5919e22cf6e0378c253e0962ef819d281e807fb3c591e0fd5031

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T17:31:28.485635Z digest=sha256:686a82b006eb523c065ce52de85d627ae49c4d4f72be94de3584ab1e69167083

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T17:31:28.571883Z digest=sha256:9ca40e31f749ad27fe8305c1d6a234fe6963e9e82a217496a1dc3331613ee1ad

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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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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T17:31:28.640124Z digest=sha256:53e75148527699cd48ce9701d1e2af000ecb4a0615fe1422a95306f952f6a1e1

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T17:31:28.718113Z digest=sha256:08ac7751650aed784fb998870a404e28126c01e404873290697cc8084fea6007

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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no resolver link, observed 2026-08-06T17:31:28.806631Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:31:28.806631Z digest=sha256:78899ca96c3f9ad706a1aa846c96844c7177b775c8821c3cd4a38830b8d600e8

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T17:31:26.541219Z digest=sha256:72d7970ab4416051ada44e314ed56329f8b53d0f0e5abd13b793c8826a585e17

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=sha256:6504afc15d1f1f803a0b2aa4981586cb00ef29a18026a7b9400ad9bc8bbab286

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=sha256:59c6c5ced3a9a3a6ce6805a9f7905bc433deac175f2eaecd996eb1f60d8031dd

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:d30dbb97ad6dc949bc43f28fc00c763c960f29589e3ec546db88876c1910e1ad

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-17T00:53:35.862959Z digest=sha256:25816708c7f90b358ac973c7a2ec731f3e43d221f240f704743b215238191a55

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=sha256:27ddda854e80bd6470a868363d2750e5615acc5dc92ef549473e24e373d5e7dd

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-09T18:43:06.803528Z digest=sha256:cd54ef93adb57f02caf29ab70a63d5b956e2a98a5b9431c647a727e0062cdceb

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=sha256:1bf08af65d026edfaf51ddcf79299c4c5033d57d2ecb955f0073f9ae1bc83452

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-06-29T04:14:11.793614Z digest=sha256:c716c90af598bb80f68f5a6b94a4438b3f74db7d22e116d0e6185e9f719c5cbe

Observation dca96c46-0ec7-4fd4-b603-856f9ff98aa9 · inbound

Spec Sheets Are Not Kernels: An ISA- and Source-Level Audit of INT8 Availability on NVIDIA Blackwell Ultra cites this paper.

Spec Sheets Are Not Kernels: An ISA- and Source-Level Audit of INT8 Availability on NVIDIA Blackwell Ultra Dissecting the NVIDIA Blackwell Architecture with Microbenchmarks

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-16T00:35:55.901736Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T00:35:55.901736Z digest=sha256:4febcb06962c6cd062925437087ae388876862ba526304c408c52199978d1af0