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Paper Citation Record · LEDGER

A Flexible Instruction Set Architecture for Efficient GEMMs

As of 18 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 2026-08-17T06:30:58.91139+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 2026-08-17T06:30:58.91139+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 2026-08-17T06:30:58.91139+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 2026-08-17T06:30:58.91139+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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T20:13:54.045666Z digest=sha256:3f002d29cfbb809d27d4908d2f50a2844b7141a27f5a8c9d5f1019d1e877b01a

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T20:13:54.103788Z digest=sha256:60ee8420ce28fbb6e736e81da779a3cc715286d7bae55a0942c8f85d2bd07be9

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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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:e05b910613d97258df82d39e3538e3acd136436208e4d4ee2070902da4744d95

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T20:13:54.274806Z digest=sha256:ff29665321dd72fd550f6e5b31951daefd64ce0a756ea8ee01cf6b575ae7b184

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T20:13:54.368780Z digest=sha256:68245b48bd2fd46f6aee014d2329faba2f5bd3b2f41303fb5e26fb0e2c1fea13

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T20:13:54.449410Z digest=sha256:d2bc7a80dda250a4ffd8127f838df6ff28d7c104693658d3bdd376e9a1a47c9a

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T20:13:54.489610Z digest=sha256:5d04a5de325e228baa6268f97ec56fc903a9fa5bbe1ff76ab60df6922b6b1bc8

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T20:13:54.556475Z digest=sha256:90d659f19179a931c8ed7138b17c8b8e29e46916b10d536decf2afbc1ecf36f9

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T20:13:54.645143Z digest=sha256:13c9b1450a8fad56fd4fad1c28cec14a504de50b9d0b696c8a96ae8a5bde2b36

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T20:13:54.709577Z digest=sha256:b0f939233a2b57cc257dd36ee5cb155713e9df5646c5a7c52f40562c42527220

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T20:13:54.802004Z digest=sha256:77321b8264a0dd781848a59b8c51e67336485b2b554356cb9d131798c152ba50

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=sha256:2277e1308f0fad217674a02d12c9aa7357ecf0ddb4b7a4cdfc173253156f27b8

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=sha256:351d9b41be68c3e458e17c1079275d841a64fb2e81c5ca7affca616559be0a9a

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=sha256:2623e7a4a09df519f6374e5d7a14f18e4addb28c02ce81d95b71bcca24a0ec67

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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source=pdf_text observed=2026-08-06T20:13:55.063041Z digest=sha256:a42411164b854ff1e03271175d2ded6c543ecfda3125d5e1a49bc5dcb0065a3b

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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source=pdf_text observed=2026-08-06T20:13:55.125054Z digest=sha256:4f53946fb68299561ef299beea9f7fb1d33748d2180d93aefb2a98a61fab1b55

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:b6fd2539ac073af5c0b7bbe84b19730bc2dde8a74081faabcf12237f4c118bdf

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:c01afb3a8031fc60c433cf41a83e2399ff1717ea430b8542b3a064643cfe4004

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T20:13:55.337011Z digest=sha256:d5b7a81aea673d641c67a2022208194233f0fd4e4107e23147f49d3dd8f07cfe

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T20:13:55.399361Z digest=sha256:150cc7a82d791bfbb54ba9a8c8c52fd7fe9ef84d8149cbbee5606015cc804168

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T20:13:55.460901Z digest=sha256:313947205dc56a4749751023616ef502e45d0c751696e17712ab0e52bccf74bd

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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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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T20:13:55.536819Z digest=sha256:211897660747426fe018e21752bc53313f3d5996614295a6ea80afcd03811f9d

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T20:13:55.589345Z digest=sha256:48cadcac52ec66b8c5ccb7d2e607be1399b55f39378a6daf2a34f0785a31586a

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

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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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T20:13:55.671788Z digest=sha256:f61313133cf9a4ffffd870855908c66b4c97bd9f1c5a0a1d13b9e2fe11a94d18

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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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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T20:13:55.742471Z digest=sha256:0a9ad5c7efc9403942ef36bec23c7d4f6cf185087bbc2ff443d21101becedf58

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T20:13:55.780220Z digest=sha256:caa01338907ec6253be8720f3c69f33fff36f9b10c6a3e5705c26de1b030ca7f

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T20:13:55.858993Z digest=sha256:89656b19bbf6e4bfcdc6abf98c846afa12094d2bc329504d2802d3a38b18a68a

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T20:13:55.963359Z digest=sha256:e460973e0a6cd95a6d9c22579bd893799a9d88c94bd7df3c83f0b0d9f6556b9a

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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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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T20:13:56.067070Z digest=sha256:452522f0fbeb7ecd28e50c0e78619aadfb3ce8407a645266602b7e912f74bb21

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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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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T20:13:56.163745Z digest=sha256:ec6a57f54a8fd2ba1e561a47fcb0846c628f56aa2b9b59d414c7a2abf11df61f

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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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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T20:13:56.231176Z digest=sha256:f6bd913b49041907aa139f4008519904559a49f188419d62db55c641d57f3503

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T20:13:56.323032Z digest=sha256:54b39b0ae81107372dbbb5e864e15234d48a949a363d157e014b379e383f18f0

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T20:13:56.407230Z digest=sha256:43708f4aeda4cf2d669c19debe8d8820831de4ea553b16b004d725d101fdac37

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T20:13:56.478683Z digest=sha256:14cdd75644a47afbec2341bb1143ae715dcad65a9f0cf8a3043c32d532415143

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T20:13:56.574837Z digest=sha256:f419789277b8a3e86c5f3838b2b6afad3f17b40b54a1da1a327c2d738efeab5b

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T20:13:56.658665Z digest=sha256:bd204d05494c5a371b374c2e0f6571993239fec249bd4f641b322be151177b40

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T20:13:56.728307Z digest=sha256:b5bcd9ec07ab4de95d43dc8a68d0ff75d4c197a16a50cff7cc8402a5730f103e

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T20:13:56.806956Z digest=sha256:8ca91c7cfabf134fcdff6a26f7d9d35c3d7e28a3c673e67f165d66402fd3480c

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T20:13:56.881060Z digest=sha256:9aabac8768b9df2ddea6b5b56a1cd4a832c7df812153ce77e229b18393b91910

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T20:13:56.962454Z digest=sha256:706f0fc767207efa79283208b2726a4f191e2e6182067cb69442ce8858755ef0

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T20:13:57.025556Z digest=sha256:96813522aed44bed4e1adc618e19be04ce40bbe5969d5ef8c51232034ba53f10

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T20:13:57.118276Z digest=sha256:48181375bec492b61de2956d88eba72e9d26e87a4123ca652cdad0db872ca01d

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T20:13:57.192621Z digest=sha256:8581358924c22b4f09d61252e3bd1f8735068c711bb9784eca944d74d1352b69

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T20:13:57.293634Z digest=sha256:7e04e7049c2b16fc26a558066f1df1146741938a752839e5fec060a6c6fde94b

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T20:13:57.408601Z digest=sha256:2145c5405409efa3129730fbe45fe7ea4222a337344c852840a8cae7cfe005c8

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T20:13:57.469464Z digest=sha256:f0972584797381d220d0e9da022bb4355ac54d286d5222eefc68c9bba697aafe

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T20:13:57.522956Z digest=sha256:56a4aea5eb0f9575074a8129eec38e81c76a2ae7c12c43684e11ec097329e106

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T20:13:57.588871Z digest=sha256:a7b75d8d09e75ccda286513ad7350feaee54938a7d6f16ebbace557ffa0447a4

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T20:13:57.642353Z digest=sha256:4986d5f2d3b2b6c0731731aae0f80b906f9c11d32353ca030dbe89a8b1ee9d4c

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T20:13:57.730561Z digest=sha256:ae8928c430a977f5970146bf4d32a12eaa253ced9458dadd6b044a660257c8d0

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T20:13:57.775683Z digest=sha256:f5589f236d128c6275efaf7cea459b07ad1bc136410f522b1ebc57477605193c

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T20:13:57.837144Z digest=sha256:d5450d96a0cd225a26a119d79dbf8ee83b9ccc308a5774d7b6f14491ed7d2e7b

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T20:13:57.903775Z digest=sha256:9f27aa2558e31ae4705770c95ab1529e49f9436fe193f345e5ed5ff98dfbc517

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T20:13:57.967039Z digest=sha256:3d5140b0237f9685f93264316e56cfb363ac2b547a6854437ebb24cea4e640f5

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T20:13:58.017203Z digest=sha256:e351806b968b4b94540c07dd925b2d42c33b10dc971bfb6fce806665a3304f48

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T20:13:58.068488Z digest=sha256:12d55df7b75242c9853d3876405fe7567ec42228209ae8181c41b59bbb11e94f

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T20:13:58.149755Z digest=sha256:ace4c8a6361c8671708fd09c6872e8c7456fa357cb3380e2a3f4fada85b29a8e

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T20:13:58.209584Z digest=sha256:beedfd17ff09a73003100ea82efaba1bb136db3833e0cb4de433ca427a4d2f95

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T20:13:58.276067Z digest=sha256:a6dd01b4d119fc751dfafd0fa13cee5f09f81aa5b3a58f822d8722a6022016d7

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T20:13:58.317969Z digest=sha256:2e3b73b7320e2f491f7ef7c6b527ae35f1ccbb13824458c80419ee55d54b7e32

Pith citing papers

No inbound Pith citation observations are available.