Pith. sign in

Paper Citation Record · LEDGER

Dissecting the NVIDIA Hopper Architecture through Microbenchmarking and Multiple Level Analysis

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 inbound Pith citation observations for arXiv:2501.12084.

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

pith.paper-citation-record.v1
2501.12084 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 11 of 11 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T17:31:26.949092Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T09:49:43.794027Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

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

Dissecting the NVIDIA Blackwell Architecture with Microbenchmarks cites this paper.

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

Reference 9

Resolution
unresolved
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 678fa017-c81b-4424-afa6-261562347232 · inbound

DASH: Deterministic Attention Scheduling for High-throughput Reproducible LLM Training cites this paper.

DASH: Deterministic Attention Scheduling for High-throughput Reproducible LLM Training Dissecting the NVIDIA Hopper Architecture through Microbenchmarking and Multiple Level Analysis

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-03T06:51:59.379321Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T06:51:59.379321Z digest=sha256:0cdb472187334c0407e4e239aabed7f3cf4de016cf2b9aff975b52f06d5a2038

Observation e69e4da4-8360-4be2-849e-c1862130d23a · inbound

AsyncSparse: Accelerating Sparse Matrix-Matrix Multiplication on Asynchronous GPU Architectures cites this paper.

AsyncSparse: Accelerating Sparse Matrix-Matrix Multiplication on Asynchronous GPU Architectures Dissecting the NVIDIA Hopper Architecture through Microbenchmarking and Multiple Level Analysis

Reference 16

Resolution
verified exact
arxiv_id, observed 2026-05-10T12:15:22.964401Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-10T04:35:20.391571Z digest=sha256:8b252404d28dda6cb329125fe64c4d2f597f987d067cc2c4291271a1481a75a2

Observation c5c7ff95-99ea-4ad9-b1fb-3fae1958fd53 · 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 Hopper Architecture through Microbenchmarking and Multiple Level Analysis

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-05-11T16:06:26.907913Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-09T18:43:06.803528Z digest=sha256:0ed6b4f4895175b93ce9b4e6cfe83823b2ed9c153517431d40779d585130e922

Observation cdc9811a-79b8-499e-ab7c-c0a075883548 · 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 Hopper Architecture through Microbenchmarking and Multiple Level Analysis

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-02T15:09:43.707096Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T15:09:43.707096Z digest=sha256:c77af2fca6b583d00f52f24b7f6bd06f3c2ab06a96adc1ec3388af3bc3345cd8

Observation 13fffc70-81ff-4b5f-98ac-cbcb0cff6043 · inbound

Microbenchmark-Driven Analytical Performance Modeling Across Modern GPU Architectures cites this paper.

Microbenchmark-Driven Analytical Performance Modeling Across Modern GPU Architectures Dissecting the NVIDIA Hopper Architecture through Microbenchmarking and Multiple Level Analysis

Reference 21

Resolution
verified exact
arxiv_id, observed 2026-05-09T06:30:42.794844Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-08T18:23:44.730845Z digest=sha256:e389e56e05db6a7eef98667ee8b959db0100ab7a0612465bfca0ef6b138f8001

Observation 675576ad-bf3b-46d0-9434-2ac1b5c33f0b · inbound

TLX: Hardware-Native, Evolvable MIMW GPU Compiler for Large-scale Production Environments cites this paper.

TLX: Hardware-Native, Evolvable MIMW GPU Compiler for Large-scale Production Environments Dissecting the NVIDIA Hopper Architecture through Microbenchmarking and Multiple Level Analysis

Reference 16

Resolution
verified exact
arxiv_id, observed 2026-05-12T03:56:21.779416Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-12T03:55:15.475044Z digest=sha256:d3ae67b2ddeab711f25ad028e11417c9b774eeebb4aa1df3a80a2270ee212de5

Observation 982936eb-8b35-4a0d-b124-f62aadbfc7e6 · inbound

TLX: Hardware-Native, Evolvable MIMW GPU Compiler for Large-scale Production Environments cites this paper.

TLX: Hardware-Native, Evolvable MIMW GPU Compiler for Large-scale Production Environments Dissecting the NVIDIA Hopper Architecture through Microbenchmarking and Multiple Level Analysis

Reference 16

Resolution
verified exact
arxiv_id, observed 2026-05-15T05:09:44.681107Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-15T05:08:56.760052Z digest=sha256:75228d68db9b010a70fb20f88c2539fa2e786b6bac214b88d58e0e8e10d75983

Observation d69472ea-d094-4ecd-abec-4a9f775317ab · inbound

Non-Uniform L2 Cache Latency Across the Streaming Multiprocessors of an NVIDIA L40 cites this paper.

Non-Uniform L2 Cache Latency Across the Streaming Multiprocessors of an NVIDIA L40 Dissecting the NVIDIA Hopper Architecture through Microbenchmarking and Multiple Level Analysis

Reference 6

Resolution
verified exact
arxiv_id, observed 2026-07-04T09:49:43.796564Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-26T09:35:42.284568Z digest=sha256:57d3c6bab709a8c2210c86a05fe197402f160bdbf7ca4a112254909c3cc9411b

Observation 4bc23676-0a0e-45e0-8478-fcc922e1fcd3 · inbound

TileLens: Efficiently Using Large-Granularity Memory Systems with Transparent Two-Dimensional Memory Layout cites this paper.

TileLens: Efficiently Using Large-Granularity Memory Systems with Transparent Two-Dimensional Memory Layout Dissecting the NVIDIA Hopper Architecture through Microbenchmarking and Multiple Level Analysis

Reference 25

Resolution
unresolved
no resolver link, observed 2026-07-11T22:11:17.609849Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T22:11:17.609849Z digest=sha256:cb32bbf39461b663fa74cfd39546d7adf4898c9628d2a22c608c3a36f3293bbb

Observation 17e1bd65-3bc7-4cdb-b3ac-1ead73719e1a · inbound

GPU-Tile-Sim: A Tile-Centric GPU Simulation Framework for LLM Hardware-Software Co-Design cites this paper.

GPU-Tile-Sim: A Tile-Centric GPU Simulation Framework for LLM Hardware-Software Co-Design Dissecting the NVIDIA Hopper Architecture through Microbenchmarking and Multiple Level Analysis

Reference 21

Resolution
unresolved
no resolver link, observed 2026-07-14T05:56:09.845073Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T05:56:09.845073Z digest=sha256:67c0edf96a0d22016c90cf901bcd5fb7610a5a346150e5bcdae7df180c92413e