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Paper Citation Record · LEDGER

A Flexible Instruction Set Architecture for Efficient GEMMs

As of 22 August 2026, this Paper Citation Record lists 63 of 63 outbound references and 0 inbound Pith citation observations for arXiv:2507.03522.

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

pith.paper-citation-record.v1
2507.03522 v1

Coverage vector

measured 63 of 63 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T20:13:58.317969Z

measured 63 of 63 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+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

63 of 63 outbound references displayed

  • verified exact5
  • verified fuzzy44
  • unresolved14
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 490bd61b-8262-415b-ae87-4d6fbaebd3cd · outbound

This paper cites Efficient processing of deep neural networks: A tutorial and survey,.

A Flexible Instruction Set Architecture for Efficient GEMMs Efficient processing of deep neural networks: A tutorial and survey,

Reference 1

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation c7272be5-e146-4634-839d-64538fe56163 · outbound

This paper cites Anatomy of high-performance deep learning convolutions on simd architectures,.

A Flexible Instruction Set Architecture for Efficient GEMMs Anatomy of high-performance deep learning convolutions on simd architectures,

Reference 2

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation eac38bfc-af64-43f0-9ce6-ccb9559e6a62 · outbound

This paper cites An implementation of matrix—matrix multiplication on the intel knl processor with avx-512,.

A Flexible Instruction Set Architecture for Efficient GEMMs An implementation of matrix—matrix multiplication on the intel knl processor with avx-512,

Reference 3

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doi, observed 2026-08-06T20:13:58.640232Z

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation a1b97bae-23ff-453a-a349-b2e63ec9e117 · outbound

This paper cites Efficient direct convo- lution using long simd instructions,.

A Flexible Instruction Set Architecture for Efficient GEMMs Efficient direct convo- lution using long simd instructions,

Reference 4

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T20:13:54.045666Z digest=sha256:8a66c220d069d85aea35719bb6b1010327069c641db3d1aebcb39b9faf6d7bff

Observation 7ed5c7f8-0f05-41d6-86d7-3d82be105de4 · outbound

This paper cites an unresolved cited work.

A Flexible Instruction Set Architecture for Efficient GEMMs Unresolved cited work

Reference 5

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T20:13:54.103788Z digest=sha256:f4dbe0cdc80a2b2713ba230dcdc9d53fad701ba6f6a3fdd80ae17030329d9552

Observation 11d88f5d-0eff-4bf5-b822-1544a221fd5c · outbound

This paper cites A matrix math facility for Power ISA(TM) processors.

A Flexible Instruction Set Architecture for Efficient GEMMs A matrix math facility for Power ISA(TM) processors

Reference 6

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unresolved
no resolver link, observed 2026-08-06T20:13:54.231825Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:13:54.231825Z digest=sha256:024ec26ea94433ace205fadc7539d60d6bec4f928bbe0c45c3dbb60778b8892f

Observation 144c46e9-2d24-4259-b29d-506f67f3bb98 · outbound

This paper cites Sifive intelligence extensions documentation,.

A Flexible Instruction Set Architecture for Efficient GEMMs Sifive intelligence extensions documentation,

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T20:13:54.274806Z digest=sha256:45576f63c292ca6a864cef6aeca919cffbdd0ca3435ae8d946b90780c87253aa

Observation cd045240-e33e-44cc-a45e-eb01b53c6f39 · outbound

This paper cites T-head risc-v matrix extension specification,.

A Flexible Instruction Set Architecture for Efficient GEMMs T-head risc-v matrix extension specification,

Reference 8

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raw_fallback, observed 2026-08-06T20:14:04.177448Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T20:13:54.368780Z digest=sha256:554c461d4ecf70dbb0854faf4b4fd54812d9702e768c2f8ec66748aaa3116aba

Observation 46f7cc35-d400-4950-a9c9-6c2102d78ed0 · outbound

This paper cites The power instruction set architecture v3.1,.

A Flexible Instruction Set Architecture for Efficient GEMMs The power instruction set architecture v3.1,

Reference 9

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raw_fallback, observed 2026-08-06T20:14:04.151007Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T20:13:54.449410Z digest=sha256:a36a818a23f78413a70357c4ef0482dd32753705821dfd95ae8a712597edcb83

Observation fe858a97-64ee-4833-9daa-0aca2612e8b2 · outbound

This paper cites The scalable matrix extension (sme), for armv9-a,.

A Flexible Instruction Set Architecture for Efficient GEMMs The scalable matrix extension (sme), for armv9-a,

Reference 10

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raw_fallback, observed 2026-08-06T20:14:04.124589Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T20:13:54.489610Z digest=sha256:e4627fbf8fb21c43a26d1a7296acdb79bcc4bcd220c3b6845e98fac2497b1a96

Observation deaf4ef7-3df7-4d0c-ba8d-3b8b59f41587 · outbound

This paper cites Knights landing: Second-generation intel xeon phi product,.

A Flexible Instruction Set Architecture for Efficient GEMMs Knights landing: Second-generation intel xeon phi product,

Reference 11

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raw_fallback, observed 2026-08-06T20:14:04.099076Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T20:13:54.556475Z digest=sha256:4f3fd96532491638b577ee1cf5d8a55248acd5c6838420e0a758273dcd287add

Observation 96429c10-c32a-4aec-97a5-147557639163 · outbound

This paper cites Co-Design for A64FX Manycore Processor and.

A Flexible Instruction Set Architecture for Efficient GEMMs Co-Design for A64FX Manycore Processor and

Reference 12

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raw_fallback, observed 2026-08-06T20:14:04.079124Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T20:13:54.645143Z digest=sha256:9b66fb1d3978ca70dce9a7a9ee1d6d9ddb6cb791363680bd127260151432c70f

Observation 14ff66f2-fc21-4198-8e60-e67f95404001 · outbound

This paper cites The risc-v vector extension,.

A Flexible Instruction Set Architecture for Efficient GEMMs The risc-v vector extension,

Reference 13

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T20:13:54.709577Z digest=sha256:e0cd9fa71ff7d485a023ca169105032a7fc84338d6687f803b6a92376f9c94dd

Observation 2476f8ee-e1d8-4106-8d34-5bd157a3b03e · outbound

This paper cites The arm scalable vector extension,.

A Flexible Instruction Set Architecture for Efficient GEMMs The arm scalable vector extension,

Reference 14

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raw_fallback, observed 2026-08-06T20:14:04.045117Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T20:13:54.802004Z digest=sha256:419f1a628630b1c4fada39017a48ca8ff7dd427ffc2a4fe4ab70eb2d25897f47

Observation f5d410b6-9281-4db9-8892-c98f98ede781 · outbound

This paper cites Deep residual learning for image recognition,.

A Flexible Instruction Set Architecture for Efficient GEMMs Deep residual learning for image recognition,

Reference 15

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:13:54.854188Z digest=sha256:5cc1fe912525eee4b378b9fca0248c53337c126b558b36e93207d2188b506bf0

Observation 06e8bef5-2699-4b0a-932a-c87df2716060 · outbound

This paper cites Rethinking the inception architecture for computer vision,.

A Flexible Instruction Set Architecture for Efficient GEMMs Rethinking the inception architecture for computer vision,

Reference 16

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:13:54.914981Z digest=sha256:b2ed7236afb9a2d06e56dba74e2328f8782eb8059f24e1ef64dcd9e439ed63ae

Observation 3c48838a-ed69-4582-940d-2b1229884b5f · outbound

This paper cites Very Deep Convolutional Networks for Large-Scale Image Recognition.

A Flexible Instruction Set Architecture for Efficient GEMMs Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 17

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:13:55.015898Z digest=sha256:6f033d4c95589e884f7bdf18eabea6b99b57369918e0bb34e8905d3bee2c50ef

Observation 1df15764-4b0e-4309-8766-7e611a424369 · outbound

This paper cites You only look once: Unified, real-time object detection,.

A Flexible Instruction Set Architecture for Efficient GEMMs You only look once: Unified, real-time object detection,

Reference 18

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no resolver link, observed 2026-08-06T20:13:55.063041Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:13:55.063041Z digest=sha256:f45e5609e74cf619f6122d731a6a3c999b0836690594584603336a01181ab63a

Observation 9b7faaa0-eaa3-4f9e-8993-e0b7e67913d5 · outbound

This paper cites SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB model size.

A Flexible Instruction Set Architecture for Efficient GEMMs SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB model size

Reference 19

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:13:55.125054Z digest=sha256:10f7fd054f283632ed731eb3715990226edb720c3e56fb5e40f0954f893855f5

Observation 8ef48d49-0e5a-4b63-b128-a703fe23df7f · outbound

This paper cites Attention is all you need,.

A Flexible Instruction Set Architecture for Efficient GEMMs Attention is all you need,

Reference 20

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no resolver link, observed 2026-08-06T20:13:55.190969Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:13:55.190969Z digest=sha256:5660e0762cb1dab9dfe214685bf01867ca65ab65f994ac4d6090897e0b3af52e

Observation 0e589cfd-41c5-4f16-a66e-696d0c353074 · outbound

This paper cites Language mod- els are few-shot learners,.

A Flexible Instruction Set Architecture for Efficient GEMMs Language mod- els are few-shot learners,

Reference 21

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no resolver link, observed 2026-08-06T20:13:55.272104Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:13:55.272104Z digest=sha256:1f9c201728e2647f005f040b4a7afda243f9b2e993bfa1a6a311308e9207b768

Observation 1c15801c-b925-4be5-be9a-653ddbf73218 · outbound

This paper cites Bert4rec: Sequential recommendation with bidirectional encoder representations from transformer,.

A Flexible Instruction Set Architecture for Efficient GEMMs Bert4rec: Sequential recommendation with bidirectional encoder representations from transformer,

Reference 22

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raw_fallback, observed 2026-08-06T20:14:03.953042Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T20:13:55.337011Z digest=sha256:b0ac5514ba091ad0505ce7044404b297d1c857502b699cc0140755886dfffafc

Observation 255d492f-5011-4581-a990-4d23d8a0a761 · outbound

This paper cites Sse-pt: Sequential recommendation via personalized transformer,.

A Flexible Instruction Set Architecture for Efficient GEMMs Sse-pt: Sequential recommendation via personalized transformer,

Reference 23

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raw_fallback, observed 2026-08-06T20:14:03.932762Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T20:13:55.399361Z digest=sha256:bfbb53e6c657629606fcf60f9c4713c98078f3f8a02da25d35cd938dd8c86c23

Observation a6846dd8-3f82-4ae6-97a7-8003f8d1c48c · outbound

This paper cites The architectural implications of facebook’s dnn-based personalized recommendation,.

A Flexible Instruction Set Architecture for Efficient GEMMs The architectural implications of facebook’s dnn-based personalized recommendation,

Reference 24

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raw_fallback, observed 2026-08-06T20:14:03.917188Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T20:13:55.460901Z digest=sha256:d03942f0a89abfa37ae4e08e33a82bf41470c5347eb4be7055f866af5f52b371

Observation 4639e2f2-d442-47df-98e7-7e87aaddd2c0 · outbound

This paper cites An updated set of basic linear algebra subprograms (blas),.

A Flexible Instruction Set Architecture for Efficient GEMMs An updated set of basic linear algebra subprograms (blas),

Reference 25

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verified fuzzy
raw_fallback, observed 2026-08-06T20:14:03.901977Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T20:13:55.536819Z digest=sha256:8fe5a6bf49b5c4f05e330d304b815ddc73432fc51258288462ca6acae6eabc2a

Observation ea8bc5f0-35f5-4562-b930-4f472d56b2c8 · outbound

This paper cites High performance zero-memory overhead direct convolutions,.

A Flexible Instruction Set Architecture for Efficient GEMMs High performance zero-memory overhead direct convolutions,

Reference 26

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raw_fallback, observed 2026-08-06T20:14:03.886480Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T20:13:55.589345Z digest=sha256:69a48716e963ca5a6388852d64d633f7a763184788f760accac11bc349ebae4c

Observation f8ccbcd7-e40b-4c72-9029-99afbc4e286d · outbound

This paper cites Performance evaluation of a next-generation sx-aurora tsubasa vector supercomputer,.

A Flexible Instruction Set Architecture for Efficient GEMMs Performance evaluation of a next-generation sx-aurora tsubasa vector supercomputer,

Reference 27

Resolution
verified exact
doi, observed 2026-08-06T20:13:58.536461Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T20:13:55.671788Z digest=sha256:9516e5af07a8f06e03b98438efe8466ef849ad75e9f40ee667e87c18d593eb93

Observation bfc6eeaf-a3cd-4523-8c59-626fe110e08d · outbound

This paper cites Vitruvius+: an area-efficient risc-v decoupled vector coprocessor for high performance computing applications,.

A Flexible Instruction Set Architecture for Efficient GEMMs Vitruvius+: an area-efficient risc-v decoupled vector coprocessor for high performance computing applications,

Reference 28

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verified fuzzy
raw_fallback, observed 2026-08-06T20:14:03.868923Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T20:13:55.742471Z digest=sha256:763807786b8a2dfb0612ae0f2e7f5396a36ce9487463cccbbe700f23c1a4fdfd

Observation 6aa4665f-8416-43c1-b8c7-cde9f823f259 · outbound

This paper cites Vsa: A hybrid vector- systolic architecture,.

A Flexible Instruction Set Architecture for Efficient GEMMs Vsa: A hybrid vector- systolic architecture,

Reference 29

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raw_fallback, observed 2026-08-06T20:14:03.853117Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T20:13:55.780220Z digest=sha256:9ec7bb50e8f49ea6e2b14f24d4cd1940dd3d2b3b724bd7fb189fd43866a54d08

Observation 10c59ad3-9824-49e0-81a9-10b8dc7f0986 · outbound

This paper cites Stencil codes on a vector length agnostic architecture,.

A Flexible Instruction Set Architecture for Efficient GEMMs Stencil codes on a vector length agnostic architecture,

Reference 30

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raw_fallback, observed 2026-08-06T20:14:03.833913Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T20:13:55.858993Z digest=sha256:cfc0c9bd87fbcb25fdea4f9d6a50a5737e6a5ce0e30fb3dc1f9a34037eecb24b

Observation c1039acf-dca2-44a7-8f62-f5f700aab4e6 · outbound

This paper cites Efficiently running spmv on long vector architectures,.

A Flexible Instruction Set Architecture for Efficient GEMMs Efficiently running spmv on long vector architectures,

Reference 31

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raw_fallback, observed 2026-08-06T20:14:03.816428Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T20:13:55.963359Z digest=sha256:803d1e25248e7b34573e23f6423de84d62b0b0a6b18210e1037b62c96fa9e694

Observation 0916fce2-b009-4661-8e60-74aa6313b18c · outbound

This paper cites Challenges and oppor- tunities in the co-design of convolutions and risc-v vector processors,.

A Flexible Instruction Set Architecture for Efficient GEMMs Challenges and oppor- tunities in the co-design of convolutions and risc-v vector processors,

Reference 32

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verified fuzzy
raw_fallback, observed 2026-08-06T20:14:03.795611Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T20:13:56.067070Z digest=sha256:96488ce568ce395d4128f213968dd93a41437160a500ce45c6bd71f31cd96408

Observation 34560842-ed1a-4452-b3b6-f101f238f4d6 · outbound

This paper cites an unresolved cited work.

A Flexible Instruction Set Architecture for Efficient GEMMs Unresolved cited work

Reference 33

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unresolved
raw_fallback, observed 2026-08-06T20:14:03.779118Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T20:13:56.163745Z digest=sha256:902465feca2fc30c714de8b6dd485cc61ae077d3c4ea97336687409b2596452c

Observation cb7582d7-e55d-46da-a1d7-38ad59e6baf0 · outbound

This paper cites an unresolved cited work.

A Flexible Instruction Set Architecture for Efficient GEMMs Unresolved cited work

Reference 34

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unresolved
raw_fallback, observed 2026-08-06T20:14:03.762123Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T20:13:56.231176Z digest=sha256:3b109f5e5e66f07596c83bf39d660be4d292b0d95839b728da6b279abf7aaf4b

Observation 8c6baf63-f5a9-4813-afed-26d5242b691a · outbound

This paper cites an unresolved cited work.

A Flexible Instruction Set Architecture for Efficient GEMMs Unresolved cited work

Reference 35

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unresolved
raw_fallback, observed 2026-08-06T20:14:03.743580Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T20:13:56.323032Z digest=sha256:2d2c3f3ff67c4650592ceda0f9bd5adea6ce31ae220ebf84bd460eeefc87a6af

Observation 2d03e0bb-39ab-4c0f-b7de-baaa9473d326 · outbound

This paper cites an unresolved cited work.

A Flexible Instruction Set Architecture for Efficient GEMMs Unresolved cited work

Reference 36

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unresolved
raw_fallback, observed 2026-08-06T20:14:03.719036Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T20:13:56.407230Z digest=sha256:c6c6f8b26eb479b3ff6b8cba85620a79d84425207e1e3b4832880e38d8b3ee4a

Observation d4d98a82-2ef4-4486-8b5f-bc4c28fcad7b · outbound

This paper cites A Survey of Numerical Methods Utilizing Mixed Precision Arithmetic.

A Flexible Instruction Set Architecture for Efficient GEMMs A Survey of Numerical Methods Utilizing Mixed Precision Arithmetic

Reference 37

Resolution
verified exact
local_arxiv, observed 2026-08-06T20:13:59.162540Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T20:13:56.478683Z digest=sha256:924bab843238700e09232ec6b0832755d1fcd8476e4e101033da7b75229d19d4

Observation 167b023d-67e6-44c3-9e54-08589b54140a · outbound

This paper cites Nvidia hopper h100 gpu: Scaling performance,.

A Flexible Instruction Set Architecture for Efficient GEMMs Nvidia hopper h100 gpu: Scaling performance,

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:14:03.697114Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T20:13:56.574837Z digest=sha256:e0d9c04cbe13cf59112b54d179a3a228c9773259e78345f6c627e50fab09e66a

Observation 665d28fc-7e0a-4b91-9bea-819a8a9b8999 · outbound

This paper cites Ten lessons from three generations shaped google’s tpuv4i: Industrial product,.

A Flexible Instruction Set Architecture for Efficient GEMMs Ten lessons from three generations shaped google’s tpuv4i: Industrial product,

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:14:03.679343Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T20:13:56.658665Z digest=sha256:f6118afe0e4861d0c30af64534e298b62004232a094eaddc3eb680808e5c0f6a

Observation 49d1861b-d043-4542-9b10-f059926bffa3 · outbound

This paper cites Reducing power by optimizing the necessary precision/range of floating-point arithmetic,.

A Flexible Instruction Set Architecture for Efficient GEMMs Reducing power by optimizing the necessary precision/range of floating-point arithmetic,

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:14:03.656742Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T20:13:56.728307Z digest=sha256:a221fe3cfa962a943badabe3464a9424458edb5c4371e7874e2772b7a3a9366c

Observation 46158820-11cd-45e7-bf58-83bf890c8ef7 · outbound

This paper cites Training deep neural networks with 8-bit floating point numbers,.

A Flexible Instruction Set Architecture for Efficient GEMMs Training deep neural networks with 8-bit floating point numbers,

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:14:03.639396Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T20:13:56.806956Z digest=sha256:33082e03f6b57c457a0b6557e235481aa5970167f9c0d79fd0b2d459ed97c809

Observation 2e69ea98-8fd4-4f55-82f4-22d5fa90e133 · outbound

This paper cites an unresolved cited work.

A Flexible Instruction Set Architecture for Efficient GEMMs Unresolved cited work

Reference 42

Resolution
unresolved
raw_fallback, observed 2026-08-06T20:14:03.618821Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T20:13:56.881060Z digest=sha256:d620e73eb1366e0a65ae13e2c741053923394317a38f24a140f78e4aed80b345

Observation d6a58172-d03a-4f34-8cd1-cb064d95ff2c · outbound

This paper cites Hpcg benchmark technical specification,.

A Flexible Instruction Set Architecture for Efficient GEMMs Hpcg benchmark technical specification,

Reference 43

Resolution
verified exact
raw_fallback, observed 2026-08-06T20:13:58.971694Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T20:13:56.962454Z digest=sha256:9f669bb2e15eafe75ae3d28992118409d2078ab31687f2c2ff4616e7ef29ddb1

Observation 8f3eff95-97a4-43f2-860c-22021a3f1e63 · outbound

This paper cites Vector engine processor of NEC’s brand- new supercomputer SX-Aurora TSUBASA,.

A Flexible Instruction Set Architecture for Efficient GEMMs Vector engine processor of NEC’s brand- new supercomputer SX-Aurora TSUBASA,

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:14:03.594649Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T20:13:57.025556Z digest=sha256:8cefffd6d6be8390d178226d7a028a306fc4aeb7fd7bc4db6295c8c8f5e8e867

Observation a26580aa-2f25-4600-8063-1f1426336dba · outbound

This paper cites Oneapi deep neural network library,.

A Flexible Instruction Set Architecture for Efficient GEMMs Oneapi deep neural network library,

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:14:03.569856Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T20:13:57.118276Z digest=sha256:df11aa45b686e53ac24fed65a043377cfdd2fe20734d3127397f0f944414213c

Observation a3bb544a-f0fd-48bc-bc14-e76061df2b88 · outbound

This paper cites Pytorch: An imperative style, high-performance deep learning library,.

A Flexible Instruction Set Architecture for Efficient GEMMs Pytorch: An imperative style, high-performance deep learning library,

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:14:03.549461Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T20:13:57.192621Z digest=sha256:2a279b21dcd0c63103f3eb390a6c8e2474c46beda95d76c2f923b6019ab00a84

Observation 8885ef7d-3f96-4a35-a2ca-8437d1bb26c2 · outbound

This paper cites Tensorflow: A system for large-scale machine learning,.

A Flexible Instruction Set Architecture for Efficient GEMMs Tensorflow: A system for large-scale machine learning,

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:14:03.454840Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T20:13:57.293634Z digest=sha256:4c0abfa5a68741d48f76dba783c5baae715ea8b3bdacc29fb8f293ea06cb1b0e

Observation 6420fd88-7d5d-4916-a6f9-005b5115e1fa · outbound

This paper cites Xbyak, a c++ jit assembler for x86 (ia32), x64 (amd64, x86-64),.

A Flexible Instruction Set Architecture for Efficient GEMMs Xbyak, a c++ jit assembler for x86 (ia32), x64 (amd64, x86-64),

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:14:03.066918Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T20:13:57.408601Z digest=sha256:5b81cf04267560c2ba5ae3cda985b39662d9c5183a6ff42dfa0d29b55e4455a1

Observation 830761ff-dfde-4f1a-9b12-8776184c6b63 · outbound

This paper cites A binary translator to accelerate development of deep learning pro- cessing library for aarch64 cpu,.

A Flexible Instruction Set Architecture for Efficient GEMMs A binary translator to accelerate development of deep learning pro- cessing library for aarch64 cpu,

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:14:02.753458Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T20:13:57.469464Z digest=sha256:5db7265c210aae227923075416fde2d77e66e351b3e6eaa8afc8e375340a8e50

Observation d4dfdcd0-7e37-48b1-bf53-c6bac75b32a1 · outbound

This paper cites Advancing direct convolution using convo- lution slicing optimization and isa extensions,.

A Flexible Instruction Set Architecture for Efficient GEMMs Advancing direct convolution using convo- lution slicing optimization and isa extensions,

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:14:02.475322Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T20:13:57.522956Z digest=sha256:94fa4a9a187821bf179240dc5fc04ac76c1340223d82c0d7660713760e1efda0

Observation fc8155d7-b4d4-4379-bf10-700a5d10df04 · outbound

This paper cites Torchvision the machine-vision package of torch,.

A Flexible Instruction Set Architecture for Efficient GEMMs Torchvision the machine-vision package of torch,

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:14:02.166197Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T20:13:57.588871Z digest=sha256:48b02b86a34088dbdec4656eecefb8fc4e510812cc951ecd4ddd7cf9d7f25d61

Observation c2f98611-acef-4e11-b898-1070a5bcbe3e · outbound

This paper cites Benchdnn github repository,.

A Flexible Instruction Set Architecture for Efficient GEMMs Benchdnn github repository,

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:14:01.898244Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T20:13:57.642353Z digest=sha256:8137f39f835c382394794bbb555423ac3c0eb15a8ab4781c7fccfd19c3f81453

Observation 957d980f-4208-4543-a74a-fd5f08508519 · outbound

This paper cites McPAT: An Integrated Power, Area, and Timing Modeling Framework for Multicore and Manycore Architectures,.

A Flexible Instruction Set Architecture for Efficient GEMMs McPAT: An Integrated Power, Area, and Timing Modeling Framework for Multicore and Manycore Architectures,

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:14:01.564694Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T20:13:57.730561Z digest=sha256:81d407328c8f07d1cd16e7500c24fbb960ab14e78c1883459b605a343dcc9c6f

Observation 346f2f0d-762e-49c9-88c0-0de365647191 · outbound

This paper cites [Online].

A Flexible Instruction Set Architecture for Efficient GEMMs [Online]

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:14:01.310276Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T20:13:57.775683Z digest=sha256:85bd5bef9779ae3510077a4499384dfda26506119c46153f44c805e86eea690e

Observation 3249fcfa-45bf-4b8c-94c7-95d67395b641 · outbound

This paper cites Fincacti: Architectural analysis and modeling of caches with deeply-scaled finfet devices,.

A Flexible Instruction Set Architecture for Efficient GEMMs Fincacti: Architectural analysis and modeling of caches with deeply-scaled finfet devices,

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:14:01.077181Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T20:13:57.837144Z digest=sha256:aa01d3989db26ca196875dce733e66530f5e0367b4c1b5fbc02204b54dda0aa8

Observation 363f0449-6288-45a8-b0dc-7efd15e19f84 · outbound

This paper cites 5nm finfet standard cell library optimization and circuit synthesis in near-and super-threshold voltage regimes,.

A Flexible Instruction Set Architecture for Efficient GEMMs 5nm finfet standard cell library optimization and circuit synthesis in near-and super-threshold voltage regimes,

Reference 56

Resolution
verified exact
doi, observed 2026-08-06T20:13:58.436877Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T20:13:57.903775Z digest=sha256:a96a9f62fe3514671cd85bde0035d8eb384699e1c852f44861abe5270c689d5c

Observation c4e37083-782c-438f-8a9e-d892be2f8a4d · outbound

This paper cites Quantifying sources of error in McPAT and potential impacts on architectural studies,.

A Flexible Instruction Set Architecture for Efficient GEMMs Quantifying sources of error in McPAT and potential impacts on architectural studies,

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:14:00.856326Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T20:13:57.967039Z digest=sha256:3cacd33a039a29d0acb6b8c53b273a7eb055aeab1d593edc79e273a2806c04c4

Observation e7c027bb-d935-49f8-badb-84b2d93d350e · outbound

This paper cites intel.com/content/www/us/en/developer/articles/technical/ a-simple-example-to-measure-the-performance-of-an-intel-mkl-function.

A Flexible Instruction Set Architecture for Efficient GEMMs intel.com/content/www/us/en/developer/articles/technical/ a-simple-example-to-measure-the-performance-of-an-intel-mkl-function

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:14:00.613375Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T20:13:58.017203Z digest=sha256:1f5805343262cb07bbd26a7747090c7978b925524c389a683349f6ac537f9c1a

Observation bcca1356-1c4d-43e5-98e4-1a024e54f1ef · outbound

This paper cites Torchvision: Pytorch’s computer vision library,.

A Flexible Instruction Set Architecture for Efficient GEMMs Torchvision: Pytorch’s computer vision library,

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:14:00.366043Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T20:13:58.068488Z digest=sha256:ce52f0e25b7ceff471cb2851c188844b9bd21c587677be9f989b846f7b957f26

Observation 5f744799-67c2-4d88-a107-f735171945bc · outbound

This paper cites Transformers: State-of- the-art natural language processing,.

A Flexible Instruction Set Architecture for Efficient GEMMs Transformers: State-of- the-art natural language processing,

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:14:00.124398Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T20:13:58.149755Z digest=sha256:a8fdddf150b9ebe220fcb5c44aa35df365756214fd58dc212bc6e3a890905be9

Observation 9f6731a7-2636-403d-b9ff-f83aba8f07e7 · outbound

This paper cites Calculation of cross-correlation function accelerated by tensorfloat-32 tensor core operations on nvidia’s ampere and hopper gpus,.

A Flexible Instruction Set Architecture for Efficient GEMMs Calculation of cross-correlation function accelerated by tensorfloat-32 tensor core operations on nvidia’s ampere and hopper gpus,

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:13:59.849510Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T20:13:58.209584Z digest=sha256:8724d807aed7ce109f0ced9825418d17b2ee0139b47719ded9757cff1356a80c

Observation 036e0955-7dd9-4db4-9e54-4a6b403d3281 · outbound

This paper cites Optimizing winograd-based convolution with tensor cores,.

A Flexible Instruction Set Architecture for Efficient GEMMs Optimizing winograd-based convolution with tensor cores,

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:13:59.550761Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T20:13:58.276067Z digest=sha256:eaaf0633626b6b689842e0adfb441e2b2e77dfe468e04cf966c9953507544c44

Observation 64f44b99-6015-418e-8c52-72cd1ecac132 · outbound

This paper cites Performance evaluation of cudnn convolution algorithms on nvidia volta gpus,.

A Flexible Instruction Set Architecture for Efficient GEMMs Performance evaluation of cudnn convolution algorithms on nvidia volta gpus,

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:13:59.346411Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T20:13:58.317969Z digest=sha256:daf2746b8c4b241866e07d24c2554dc396fc7e612c95d418f266030768d4ab90

Pith citing papers

No inbound Pith citation observations are available.