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Paper Citation Record · LEDGER

Adding MFMA Support to gem5

As of 11 August 2026, this Paper Citation Record lists 45 of 45 outbound references and 0 inbound Pith citation observations for arXiv:2501.18113.

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

pith.paper-citation-record.v1
2501.18113 v2

Coverage vector

measured 45 of 45 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T00:42:10.657452Z

measured 45 of 45 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+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

45 of 45 outbound references displayed

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  • verified fuzzy34
  • unresolved10
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 8fc613dd-9571-4720-a32d-117518623461 · outbound

This paper cites Megatron-LM: Training Multi-Billion Parameter Language Models Using Model Parallelism.

Adding MFMA Support to gem5 Megatron-LM: Training Multi-Billion Parameter Language Models Using Model Parallelism

Reference 1

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source=pdf_text observed=2026-08-10T00:42:10.428752Z digest=sha256:c5b7f3c99ad75d8530d29ee418b0d3f3224f0a220478ccc18887c28dc92c970f

Observation 28bd77a8-0f61-4a03-a733-bc95cb9a6313 · outbound

This paper cites AI and Memory Wall,.

Adding MFMA Support to gem5 AI and Memory Wall,

Reference 2

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source=pdf_text observed=2026-08-10T00:42:10.432722Z digest=sha256:255f5dc7715af9236ab00d37a9ce826450ee4fdbc5dc5acf854463f47c356f13

Observation 13bb6213-3b06-4491-9f78-1caea3a606bf · outbound

This paper cites Pioneering Chiplet Technology and Design for the AMD EPYC™ and Ryzen™ Processor Families : Industrial Produc t,.

Adding MFMA Support to gem5 Pioneering Chiplet Technology and Design for the AMD EPYC™ and Ryzen™ Processor Families : Industrial Produc t,

Reference 3

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source=pdf_text observed=2026-08-10T00:42:10.436368Z digest=sha256:61d54e137a5803e2a74cbeb49b51ce9e32697d97f90dc184821acbc36f43a8c5

Observation 9603c941-33bb-43db-8478-ebf39d146abb · outbound

This paper cites TPU v4: An Optically Reconfigur able Supercomputer for Machine Learning with Hardware Support f or Embeddings,.

Adding MFMA Support to gem5 TPU v4: An Optically Reconfigur able Supercomputer for Machine Learning with Hardware Support f or Embeddings,

Reference 4

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source=pdf_text observed=2026-08-10T00:42:10.440613Z digest=sha256:3ca1e99f6b1e313c80554d21e9b9bde0693c851558c1002ae06c78caae3bc9ac

Observation eb23fae3-be23-43e7-a62b-3ec2f88f7c35 · outbound

This paper cites Ten Lessons f rom Three Generations Shaped Google’s TPUv4i,.

Adding MFMA Support to gem5 Ten Lessons f rom Three Generations Shaped Google’s TPUv4i,

Reference 5

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source=pdf_text observed=2026-08-10T00:42:10.444358Z digest=sha256:b4a3cc4dc4f411be5620bbc8f7499163f05a178790f8f276fcfc83401bae059a

Observation f8ee1e26-94ca-4cfa-83e8-766379f1b95a · outbound

This paper cites The gem5 simul ator,.

Adding MFMA Support to gem5 The gem5 simul ator,

Reference 6

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source=pdf_text observed=2026-08-10T00:42:10.447891Z digest=sha256:0e9e26b14430e1a69c5f311a97a7ec5fce7b84e991bf9d50e82b6fe594467fad

Observation 36104eb7-cbda-4420-bfde-47f65a292d7b · outbound

This paper cites The gem5 simulator: V ersion 20.0+,.

Adding MFMA Support to gem5 The gem5 simulator: V ersion 20.0+,

Reference 7

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source=pdf_text observed=2026-08-10T00:42:10.451210Z digest=sha256:b8a9be803cd00826c1790af84b2870a2e08622dea5708265e39e24746ecc0711

Observation 202b2465-8fa4-4fd8-a9f2-a842ae878bbd · outbound

This paper cites L ost in Abstraction: Pitfalls of Analyzing GPUs at the Intermediat e Language Level,.

Adding MFMA Support to gem5 L ost in Abstraction: Pitfalls of Analyzing GPUs at the Intermediat e Language Level,

Reference 8

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source=pdf_text observed=2026-08-10T00:42:10.454149Z digest=sha256:aa13a497ef4c7f0fd79f9380eeb64367c4ccdc95a2535b30ef8de955a6a6ef32

Observation 29d04c3c-3464-4b78-8e4e-d659910ec4a8 · outbound

This paper cites Modeling Modern GPU Applic ations in gem5,.

Adding MFMA Support to gem5 Modeling Modern GPU Applic ations in gem5,

Reference 9

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source=pdf_text observed=2026-08-10T00:42:10.457196Z digest=sha256:6416ac96c72382f944e2a9bfa52b2a7d1b105aa5ef93fcca0f5d3d53120fddc4

Observation eefe41d1-55a8-4430-badf-1fa44993db92 · outbound

This paper cites gem5 -SALAM: A System Architecture for LL VM-based Accelerator Modeling ,.

Adding MFMA Support to gem5 gem5 -SALAM: A System Architecture for LL VM-based Accelerator Modeling ,

Reference 10

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source=pdf_text observed=2026-08-10T00:42:10.460156Z digest=sha256:0a231877f7e141f0be67f8cacc413a0a92d756e70f9097a5d3f32160e56ceeca

Observation 1c0138b1-dcdd-4b74-80d0-1e46639a5647 · outbound

This paper cites Expan ding Hardware Accelerator System Design Space Exploration with gem5-SAL AMv2,.

Adding MFMA Support to gem5 Expan ding Hardware Accelerator System Design Space Exploration with gem5-SAL AMv2,

Reference 11

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source=pdf_text observed=2026-08-10T00:42:10.463211Z digest=sha256:bdca35829b76425dee9a64a64c233ac050a3324c90c79340d3d6192c2edbf74b

Observation dae64494-2ea5-4e3d-b169-c08118f1ce89 · outbound

This paper cites Enablin g Multi-GPU Support in gem5,.

Adding MFMA Support to gem5 Enablin g Multi-GPU Support in gem5,

Reference 12

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source=pdf_text observed=2026-08-10T00:42:10.466382Z digest=sha256:c00d0e813c7c4fac338123a78b251697a118913f1cad07a29c4a64a33b874aa6

Observation e0bb01d1-35c5-477d-8d48-378353addb82 · outbound

This paper cites On the Rise of AMD Matrix Cores: Performance, Power Efficiency, and Programmability,.

Adding MFMA Support to gem5 On the Rise of AMD Matrix Cores: Performance, Power Efficiency, and Programmability,

Reference 13

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source=pdf_text observed=2026-08-10T00:42:10.469128Z digest=sha256:b159967bd895f5459149deebea87eb64623a0b3ca8cde5e1631585c6198bc47f

Observation a0428055-8566-481a-a04e-d4a9dbbca137 · outbound

This paper cites V olta: Performa nce and Pro- grammability,.

Adding MFMA Support to gem5 V olta: Performa nce and Pro- grammability,

Reference 14

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source=pdf_text observed=2026-08-10T00:42:10.472200Z digest=sha256:3c35cda441f6e3f3a08dbee323fd6652aa59221b50f41c8a37950afb89c460d7

Observation 0e7270b3-8074-47ba-baf8-ba41e103b5d6 · outbound

This paper cites Modeling Deep Le arning Accelerator Enabled GPUs,.

Adding MFMA Support to gem5 Modeling Deep Le arning Accelerator Enabled GPUs,

Reference 15

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source=pdf_text observed=2026-08-10T00:42:10.475458Z digest=sha256:55480e948fe85da35d0ca059fdda9207519d718ea0c4e3ab3a8d9dd4137e9ce3

Observation 0d0d034d-9072-4d74-8699-29b8555839c0 · outbound

This paper cites A Research Retrospec tive on AMD’s Exascale Computing Journey,.

Adding MFMA Support to gem5 A Research Retrospec tive on AMD’s Exascale Computing Journey,

Reference 16

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source=pdf_text observed=2026-08-10T00:42:10.478452Z digest=sha256:9747c5e5f3419ba0ddd8572ccf208dd8213e5c4dad6b3cca8199cb1a5b69cb74

Observation 98129684-d26a-4ac0-b388-da146d0b3b5e · outbound

This paper cites Realizing the AMD Exascale Heterogeneous Processor Vision : Industry Product,.

Adding MFMA Support to gem5 Realizing the AMD Exascale Heterogeneous Processor Vision : Industry Product,

Reference 17

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source=pdf_text observed=2026-08-10T00:42:10.481886Z digest=sha256:ec356078d15bc9391e383c41398a8297c7dbd14392c299a9d5c9040ecf4cbc71

Observation ee6af4ff-b5ce-424b-85b3-21fe47bc580a · outbound

This paper cites Co- designing Accelerators and SoC Interfaces using gem5-Alad din,.

Adding MFMA Support to gem5 Co- designing Accelerators and SoC Interfaces using gem5-Alad din,

Reference 18

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source=pdf_text observed=2026-08-10T00:42:10.484810Z digest=sha256:17d68d45183509593a50042bf60dc21edec565300cb63c608caddd19c9bc52ab

Observation e6163952-9df2-41ce-b46b-e9b5749d6626 · outbound

This paper cites Enabling Repro ducible and Agile Full-System Simulation,.

Adding MFMA Support to gem5 Enabling Repro ducible and Agile Full-System Simulation,

Reference 19

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Observation 2003bb70-a808-47e2-9ee1-846ca6d2cc93 · outbound

This paper cites DNNMark: A Deep Neural Network Ben chmark Suite for GPUs,.

Adding MFMA Support to gem5 DNNMark: A Deep Neural Network Ben chmark Suite for GPUs,

Reference 20

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source=pdf_text observed=2026-08-10T00:42:10.578702Z digest=sha256:ed3359fe7ca4e8b6efd2d36499411fca4449a5d1f6e2a8de4fafb54e61d419c8

Observation 0131985a-db1f-4854-a696-3d97d3807b92 · outbound

This paper cites An Update to DeepBench with a Fo cus on Deep Learning Inference,.

Adding MFMA Support to gem5 An Update to DeepBench with a Fo cus on Deep Learning Inference,

Reference 21

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source=pdf_text observed=2026-08-10T00:42:10.582664Z digest=sha256:4ca94b1fd15df2bea8fe0ba7fc0ceefab95795866273e3844db454e4f1d081ff

Observation f26a0eb5-879d-4f6a-a255-3d3caadd13d0 · outbound

This paper cites MIOpen: An Open Source Library For Deep Learning Primitives.

Adding MFMA Support to gem5 MIOpen: An Open Source Library For Deep Learning Primitives

Reference 22

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source=pdf_text observed=2026-08-10T00:42:10.585999Z digest=sha256:97f56ae14088a7e9c4c3735f7b55a09d1a7a7d36a7e99e661017810dba92cde8

Observation 7e994d35-516d-4ab8-901e-6137be9c40da · outbound

This paper cites rocBLAS Library,.

Adding MFMA Support to gem5 rocBLAS Library,

Reference 23

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source=pdf_text observed=2026-08-10T00:42:10.589523Z digest=sha256:e692d33667879987a00bf9b176abeea7959463e431d9f98e3756e37e928f8c5b

Observation bac7a088-d714-4009-a8a1-cfff90f59595 · outbound

This paper cites PyTorch 2: Faster Machine Learning Through Dynamic Python Bytecode Transformation a nd Graph Compilation,.

Adding MFMA Support to gem5 PyTorch 2: Faster Machine Learning Through Dynamic Python Bytecode Transformation a nd Graph Compilation,

Reference 24

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source=pdf_text observed=2026-08-10T00:42:10.592585Z digest=sha256:32a36746d51bb89aeff970c0989c4be74efa97a5f81300830d6ccad36031d360

Observation fd077514-05b6-4aff-8f68-62ec59935603 · outbound

This paper cites Automatic different iation in PyTorch,.

Adding MFMA Support to gem5 Automatic different iation in PyTorch,

Reference 25

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Observation ca84bf5a-4355-42b4-92cd-83e379c91ddb · outbound

This paper cites TensorFlow: La rge- Scale Machine Learning on Heterogeneous Systems,.

Adding MFMA Support to gem5 TensorFlow: La rge- Scale Machine Learning on Heterogeneous Systems,

Reference 26

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Observation 557b09a3-2d75-49e2-af17-d1755c8b03fc · outbound

This paper cites Simulation Support for Fast and Accurate Large-Scale GPGPU & Accelerat or Workloads,.

Adding MFMA Support to gem5 Simulation Support for Fast and Accurate Large-Scale GPGPU & Accelerat or Workloads,

Reference 27

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source=pdf_text observed=2026-08-10T00:42:10.601770Z digest=sha256:691216742043941d091d7edf1eb08d7a30ed77e2074505f4044d09f2297a0cee

Observation eef119c9-c362-42b3-9667-a965f9abcb58 · outbound

This paper cites Simulating Machine Lear ning Models at Scale,.

Adding MFMA Support to gem5 Simulating Machine Lear ning Models at Scale,

Reference 28

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source=pdf_text observed=2026-08-10T00:42:10.605189Z digest=sha256:7a0cfeaecb3eddff7e73a7331ad13acfb737296a24a2ccb228fcd17319c0e42f

Observation 3ee12d82-cff3-4f38-b815-5272edc787a4 · outbound

This paper cites AMD CDNA™ 3 Architecture,.

Adding MFMA Support to gem5 AMD CDNA™ 3 Architecture,

Reference 29

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source=pdf_text observed=2026-08-10T00:42:10.608982Z digest=sha256:a07010d363a32884c0587aed998d010b2160314735d32188aadee3ad2b30c51b

Observation 074b47ea-4745-4ce0-9eec-4ff024135735 · outbound

This paper cites [Online].

Adding MFMA Support to gem5 [Online]

Reference 30

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source=pdf_text observed=2026-08-10T00:42:10.612470Z digest=sha256:96cbecae30fbf6abefe0885ad1681097b5d74fd193687d1284e620061a6927fa

Observation e77bf7e3-c7d5-47db-8870-20e730fad077 · outbound

This paper cites NVIDIA Hopper H100 GPU: Scaling Perform ance,.

Adding MFMA Support to gem5 NVIDIA Hopper H100 GPU: Scaling Perform ance,

Reference 31

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source=pdf_text observed=2026-08-10T00:42:10.615405Z digest=sha256:822eb1c712f0fa3426e3b500e0ea05300929cfae1acb1555adc5a6658b7341d1

Observation ce339db0-a0a4-48c6-8737-9409e3a30e59 · outbound

This paper cites Cooperative War p Execution in Tensor Core for RISC-V GPGPU,.

Adding MFMA Support to gem5 Cooperative War p Execution in Tensor Core for RISC-V GPGPU,

Reference 32

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source=pdf_text observed=2026-08-10T00:42:10.618223Z digest=sha256:806ab4161592cd905bc8cb1fa4a3755fac5d37b689efbcf34f1637a218055963

Observation e6f6c92c-11ea-4297-b60c-9c42b4ed5f3c · outbound

This paper cites CPElide : Efficient Multi-Chiplet GPU Implicit Synchronization,.

Adding MFMA Support to gem5 CPElide : Efficient Multi-Chiplet GPU Implicit Synchronization,

Reference 33

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source=pdf_text observed=2026-08-10T00:42:10.620924Z digest=sha256:bcd701b984a9510f15dca7295e844ceacac9a32c13d0f4cea1e23fc6c6966d1f

Observation dc86170e-04a6-4566-b97e-e3edee1b1736 · outbound

This paper cites ROCm: Open Platform For Development, Discovery and Education around GPU Computing,.

Adding MFMA Support to gem5 ROCm: Open Platform For Development, Discovery and Education around GPU Computing,

Reference 34

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source=pdf_text observed=2026-08-10T00:42:10.623623Z digest=sha256:10fbea86168206ece504bc7951cd64d14c4fdd9546953f42ecad54334a96a92c

Observation c7a43fcf-5d78-4863-90cc-7179fcde95cc · outbound

This paper cites GAP: gem5 GPU Accuracy Profiler,.

Adding MFMA Support to gem5 GAP: gem5 GPU Accuracy Profiler,

Reference 35

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source=pdf_text observed=2026-08-10T00:42:10.626397Z digest=sha256:fdbe404404aaf9ed569c6f9046210ad1c48264be02b2e040f9d7d2e40c7225a5

Observation 3524817d-58d2-41cc-b3e8-891bf19bac73 · outbound

This paper cites Closing the Gap: Improving the Accuracy of gem5’s GPU Models,.

Adding MFMA Support to gem5 Closing the Gap: Improving the Accuracy of gem5’s GPU Models,

Reference 36

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raw_fallback, observed 2026-08-10T00:42:11.254506Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T00:42:10.629805Z digest=sha256:13ed0c4ab7838c9915d762eb2bc81a7fde498a8aac1faf8ef0d2ffd5b63b6d44

Observation 1f0591c7-6eda-40e7-b457-25de4b53ad3f · outbound

This paper cites Furthe r Closing the GAP: Improving the Accuracy of gem5’s GPU Models,.

Adding MFMA Support to gem5 Furthe r Closing the GAP: Improving the Accuracy of gem5’s GPU Models,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T00:42:11.243833Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T00:42:10.632410Z digest=sha256:198a6d7fe727a19a3e0601505e58cab587e418798c6c93695b8698ced9bb9dc2

Observation 6b237e4f-3940-44f4-8445-e9c4fa4ab126 · outbound

This paper cites Introducing AMD CDNA™ 2 Architecture,.

Adding MFMA Support to gem5 Introducing AMD CDNA™ 2 Architecture,

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T00:42:11.234332Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T00:42:10.634946Z digest=sha256:f7911dbd326490ff37093f22df8fb05e7112c141eb5bd2d60eb6e16bbb0c4225

Observation 6d48f3af-c5ca-4af0-9955-4839808f6d9b · outbound

This paper cites AMD AI & HPC Fund: Accelerate Y our Research with AMD,.

Adding MFMA Support to gem5 AMD AI & HPC Fund: Accelerate Y our Research with AMD,

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T00:42:11.223927Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T00:42:10.637589Z digest=sha256:3fda35a08502c46291d12151fd6a4a6c512b7da7bca6d2ab3a93534af93e0635

Observation 399952f2-9d07-492e-b6bf-5654b32bf9e7 · outbound

This paper cites AMD lab notes,.

Adding MFMA Support to gem5 AMD lab notes,

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T00:42:11.212741Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T00:42:10.641022Z digest=sha256:7acf511cd09700655433b894df549a43f873237e1b49fa9f3379be6ca52d605e

Observation 86c6a81d-55b5-49cd-bfd1-d9696f0b2308 · outbound

This paper cites Language Models are Few-Shot Learners,.

Adding MFMA Support to gem5 Language Models are Few-Shot Learners,

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T00:42:11.203656Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T00:42:10.643988Z digest=sha256:ec3aa3351ad6d5c99078439d70dfedd5b33f3332d20f3fdf358bc3a083bf744f

Observation 8d1ae5cd-fa13-4b2a-9ffc-082ce9807150 · outbound

This paper cites Language Models are Unsupervised Multitask Learners,.

Adding MFMA Support to gem5 Language Models are Unsupervised Multitask Learners,

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T00:42:11.194140Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T00:42:10.646827Z digest=sha256:49350a2d2e744db7b9e7d4e29c4f253e358c8d95091a8ac673cd9e155ed3cdab

Observation a5efdce5-00ef-4891-a738-254739633aa5 · outbound

This paper cites GPT-4 Technical Report.

Adding MFMA Support to gem5 GPT-4 Technical Report

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-10T00:42:10.649639Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T00:42:10.649639Z digest=sha256:027aa760f9f73383e331841392d853a9a04178e8374e76fddc8b207e13f80fb3

Observation d6b1cfe7-f7c6-4055-95cf-816523386dd2 · outbound

This paper cites MLPerf Infere nce Benchmark,.

Adding MFMA Support to gem5 MLPerf Infere nce Benchmark,

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T00:42:11.184180Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T00:42:10.653919Z digest=sha256:0ec346a1622a661239ed9abdd713c3f0b404cdc5d6f657854e40395922ab684c

Observation 1dbb833f-1020-4153-9336-edb79d7bceea · outbound

This paper cites MLPerf Training Benchmark,.

Adding MFMA Support to gem5 MLPerf Training Benchmark,

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T00:42:11.174670Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T00:42:10.657452Z digest=sha256:a9fff69e88679b042366ed038363406b13e3040cd410aa3893ceb664d3e65e3a

Pith citing papers

No inbound Pith citation observations are available.