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Paper Citation Record · LEDGER

Adding MFMA Support to gem5

As of 12 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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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=sha256:5465a045f80426078f7f391dfa572050a6e29c8824e26dfd6c61111b5f4f8f39

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=sha256:02bcfb5d1c1ced72b4afeffb258366f8b65d19d85eb8b61cb60ccfdc09ebc2c0

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:a71fb10c15028097cdd7d14ae001c901bdb72b6b8048706a1509b183ebf7cffc

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=sha256:3c7a79f0823688ae60dcc8916877ab80089ee7bac243e5f1e32e908b50f2d507

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=sha256:3054de5f2764c2bc3ddb916ea1c947632b905f950bc03e2c5a34680d035ca6db

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:f11ac96dfc1a614813acb1b6fbfa1946a00f393dd1772ceb14fede7104108ed1

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:d9db208af64bff53e8ea4e78c6cce5e327b80c9c3fcb3f3839eab3f5f05d66ae

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=sha256:0a3f8bc883e8fd980fccbe66b5b31d7eaccd4bcf2cadb12a530282ff5f4e3674

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:f0ce49f53b4e0fd81a2889911d04ce2d31ed58a71b4e7c46518cd69dc7b9b1c5

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=sha256:40bfdf3d0da9370c38acc5515b0e425a412790d9bde52eb118979290dc84af13

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:a718b344b07add8f81be1edd6da789bb73372fdb87111826a51de1ed8a6c89e9

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=sha256:9cd8d1db6459c16f7b0e9b3c9dc15591ae18b8157dfc613cae90097579a64a5b

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:bc39764491fd56b503fa56495effcc7f085dbe9fbfd421c7711b4113426671c9

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=sha256:863c5b7057018a0527db298e81b227ec2c648a43e530c55f529d7b1f191f55c0

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=sha256:6735e9ffe261a191e654823ae09d98e4640117deb149483701a199df31f1060c

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=sha256:793a11ddb347235d81191f409101b6f0139618ab5ec07637a36e7f662dea3c41

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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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=sha256:5504d1e28a92ea483770d94166cfba5312a2404f69adbd7f12d60934556f1702

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=sha256:06fb17eb1c4ba0ffd46fdc8b45f7936373b63a4378b2e6dd0ec673277c23a10f

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:a00d275054f9ef7781e20dd27a62a54d5bec4e640703289ddc054d3479ce6bf7

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:a398ccdf1c2a70f6fdbda96a80dd7d040a5698b319a1d5f9890a46209a8f46bd

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=sha256:11518fd7e1cc310a6edf199f1dc3d1492993846311c798c1dc37535b3b70f9d3

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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source=pdf_text observed=2026-08-10T00:42:10.595660Z digest=sha256:c34192a9b6795d38e6e403c93217095c04eff6245e228d11099e45a5f5a0f797

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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source=pdf_text observed=2026-08-10T00:42:10.599042Z digest=sha256:ba11e8753102298a449b869d9d2cb5849c22861c3093b07bdb5c21f0fd29cdc8

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:d298ba7037fc2ad707a54ce78886a64570c61ca7f11d883575d4ae6ac9d59c3b

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=sha256:5e34d8db1e8a5d390e4d1469590495c7cf1e870b5faa4e69817d04e73042de51

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:cf64dc0229e85f6ad3d011e6aba0524b0e4636f0f18c7155ad33c789ae7c5c62

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:e4b8d0697a9194387ed7487d3687a1b72704775b4335dbae9d8e9e58f1850809

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:f7eee57eca132eb0342437428384150992d9298d5ed2294901f2260e4b5853b8

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=sha256:482a515ae36fa054d53f37bf1cf17c5f5a0b81fb3ec40f871be1a9c7ada56644

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=sha256:16304005459f836dec810b03975674db28e27483687600ff960ea65fff8ddb61

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=sha256:61b65309ac0830c64921a92e90f6cb953492c45aa1759d8b9e25ad782a5cf79d

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=sha256:9827d9f14d50d620a98dbb2e09ed14f22a52b616e102faf8d0537fe9fb9e59f6

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=sha256:6a372efd7422484051120a5cf878ed9c44d481c48eadc71d5cf8dd29af8ba62f

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=sha256:088dd8b156f2923e9444e1bfcc3832160d08778ea168da327e3b384da290b7e6

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=sha256:8bb1010ffa5c9707deb4f4bef2822d176ac7199553c4a4b8e7c10c89275be1d9

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=sha256:56b7876e76461c7d53ca9533d28ae9dd735cfac28a1b65f71b617d652fb55252

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:ca8b03a83c175d566d60d9c4b089fa0347d4bd427cda3702f30a76a747dcbf48

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=sha256:3f1bf94108f9dfc3bb6fd9656012347b2f64f1f7dd0ea7b8b7d8be11c301c19b

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:f15bd6c3bebe3f54d20112a3ac689426c808d5bcf5dbdaa70dda3163e30a7ff6

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=sha256:83d3c535753ddaae268cca6cf2404c491c88204245e2497b64c619000329873d

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=sha256:88a3179672a1429291c59170583bbc2f507b267c3fa8ae0a74c96b6991bef726

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=sha256:74f2e6f53d204e64ee6ab3efddfa77ce0884f585b3ba71aa35eeaca3a9eaf93e

Pith citing papers

No inbound Pith citation observations are available.