Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-04T00:47:05.392530Z
Paper Citation Record · LEDGER
As of 8 August 2026, this Paper Citation Record lists 37 of 37 outbound references and 0 inbound Pith citation observations for arXiv:2608.00325.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-04T00:47:05.392530Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
37 of 37 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 54b75400-f421-4bb0-b413-6c80b2540c05 · outbound
Triton for MTIA: Bridging the Programming Model Gaps for Custom AI Accelerators The llama 3 herd of models,
Reference 1
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Observation d779eef8-493d-4f0c-8aa1-369225d89d30 · outbound
Triton for MTIA: Bridging the Programming Model Gaps for Custom AI Accelerators Deep Learning Recommendation Model for Personalization and Recommendation Systems
Reference 2
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Observation 6418a0d2-93de-4fb6-9838-fa752f8321c6 · outbound
Triton for MTIA: Bridging the Programming Model Gaps for Custom AI Accelerators DHEN: A Deep and Hierarchical Ensemble Network for Large-Scale Click-Through Rate Prediction
Reference 3
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Observation ee076fac-27a6-4d70-9f27-b22442f9b2e2 · outbound
Triton for MTIA: Bridging the Programming Model Gaps for Custom AI Accelerators Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations
Reference 4
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Observation dea0b3ea-a5e7-4017-b46d-0f9c2b312d31 · outbound
Triton for MTIA: Bridging the Programming Model Gaps for Custom AI Accelerators [Online]
Reference 5
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Observation 9220211f-efd2-4490-8f70-c4d582aaf6c4 · outbound
Triton for MTIA: Bridging the Programming Model Gaps for Custom AI Accelerators The Design Process for Google’s Training Chips: TPUv2 and TPUv3,
Reference 6
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Observation faf0e644-4760-4151-bf8a-a297a87e6f82 · outbound
Triton for MTIA: Bridging the Programming Model Gaps for Custom AI Accelerators Think Fast: A Tensor Streaming Processor (TSP) for Accelerating Deep Learning Workloads,
Reference 7
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Observation 468b03b5-27cc-487d-8008-a498d84f4289 · outbound
Triton for MTIA: Bridging the Programming Model Gaps for Custom AI Accelerators Accelerating Scientific Applica- tions With SambaNova Reconfigurable Dataflow Architecture,
Reference 8
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Observation 2cc1ee30-e1a5-4670-b605-82c501174857 · outbound
Triton for MTIA: Bridging the Programming Model Gaps for Custom AI Accelerators Distributed Training of Large Language Models on A WS Trainium,
Reference 9
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Observation 6d2d9dbc-a6d9-49d5-84f2-d8d2a0247157 · outbound
Triton for MTIA: Bridging the Programming Model Gaps for Custom AI Accelerators Blackhole & TT-Metalium: The Standalone AI Computer and its Programming Model ,
Reference 11
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Observation 2ff9bc6a-6410-46fc-b37d-f156a742488c · outbound
Triton for MTIA: Bridging the Programming Model Gaps for Custom AI Accelerators Cerebras Architecture Deep Dive: First Look Inside the HW/SW Co-Design for Deep Learning : Cerebras Systems ,
Reference 12
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Observation 51ff44ee-eddd-4e0c-bc5a-d610c060f8e9 · outbound
Triton for MTIA: Bridging the Programming Model Gaps for Custom AI Accelerators Meta’s Second Generation AI Chip: Model-Chip Co-Design and Productionization Experiences,
Reference 13
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Observation 867bf636-0994-4dfd-8701-90f76d07b64a · outbound
Triton for MTIA: Bridging the Programming Model Gaps for Custom AI Accelerators Development repository for the triton language and compiler,
Reference 14
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Unavailable: canonical work link unavailable.
Observation 11be51dc-b94b-47c3-a38c-4b7054257e7c · outbound
Triton for MTIA: Bridging the Programming Model Gaps for Custom AI Accelerators MTIA: First Generation Silicon Targeting Meta’s Recommendation Systems,
Reference 15
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Unavailable: canonical work link unavailable.
Observation 89de7732-5a36-43f9-a1a1-6a852995b315 · outbound
Triton for MTIA: Bridging the Programming Model Gaps for Custom AI Accelerators FlashAttention-2: Faster Attention with Better Parallelism and Work Partitioning,
Reference 16
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Unavailable: canonical work link unavailable.
Observation ca9d25e3-043c-47c4-a2f1-673327c2b545 · outbound
Triton for MTIA: Bridging the Programming Model Gaps for Custom AI Accelerators FlagOpen/FlagGems: An operator library for large language models implemented in the Triton language,
Reference 17
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Observation 078b7779-74fd-4338-a676-fb010e9bd7e9 · outbound
Triton for MTIA: Bridging the Programming Model Gaps for Custom AI Accelerators FlexAt- tention: The Flexibility of PyTorch with the Per- formance of FlashAttention,
Reference 18
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Unavailable: canonical work link unavailable.
Observation 46fa7478-fb17-42d4-9aee-976ea380cacf · outbound
Triton for MTIA: Bridging the Programming Model Gaps for Custom AI Accelerators gpt-oss-120b & gpt-oss-20b Model Card,
Reference 19
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Unavailable: canonical work link unavailable.
Observation f1175543-35f0-4d3a-abb4-7e4a1320d1a6 · outbound
Triton for MTIA: Bridging the Programming Model Gaps for Custom AI Accelerators Helion: A High-Level DSL for Performant and Portable ML Kernels,
Reference 20
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Unavailable: canonical work link unavailable.
Observation 1fdd0a41-b833-4ed8-acb8-e376164aefac · outbound
Triton for MTIA: Bridging the Programming Model Gaps for Custom AI Accelerators [Online]
Reference 21
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Unavailable: canonical work link unavailable.
Observation a1c357bf-4303-426f-8902-3d0bb75370f4 · outbound
Triton for MTIA: Bridging the Programming Model Gaps for Custom AI Accelerators Tlx - triton low-level language extensions,
Reference 22
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Unavailable: canonical work link unavailable.
Observation 3a69f147-6c47-4372-8b14-e2bbe77cd0c8 · outbound
Triton for MTIA: Bridging the Programming Model Gaps for Custom AI Accelerators Introduction to Gluon,
Reference 23
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Observation 3e95eb51-d5f1-4da9-93a6-604723e3fb51 · outbound
Triton for MTIA: Bridging the Programming Model Gaps for Custom AI Accelerators Available: https://github.com/ facebookexperimental/triton/tree/tlx
Reference 24
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Unavailable: canonical work link unavailable.
Observation cb3e5788-e5b5-4db0-9e4b-1cc80b08f242 · outbound
Triton for MTIA: Bridging the Programming Model Gaps for Custom AI Accelerators CuTe DSL,
Reference 26
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Unavailable: canonical work link unavailable.
Observation e30efcb4-067d-4f4a-b956-de293026555e · outbound
Triton for MTIA: Bridging the Programming Model Gaps for Custom AI Accelerators A WS Neuron adds support for NKI and NXD for training with JAX,
Reference 27
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Unavailable: canonical work link unavailable.
Observation d65e691a-ccc2-4f86-b295-5f52761c23f4 · outbound
Triton for MTIA: Bridging the Programming Model Gaps for Custom AI Accelerators TileLang: A Composable Tiled Programming Model for AI Systems
Reference 28
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Unavailable: canonical work link unavailable.
Observation 95f78254-d352-48f5-aaf4-eb894ff63f27 · outbound
Triton for MTIA: Bridging the Programming Model Gaps for Custom AI Accelerators cutile, the new/old kid on the block: Python programming models for gpus,
Reference 29
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Unavailable: canonical work link unavailable.
Observation 02e1d424-56ce-4d40-b0a0-b84cc1bb7f29 · outbound
Triton for MTIA: Bridging the Programming Model Gaps for Custom AI Accelerators MLIR: A Compiler Infrastructure for the End of Moore's Law
Reference 30
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Unavailable: canonical work link unavailable.
Observation eefbfafc-ffc6-43ec-82c3-544c9fc74fd1 · outbound
Triton for MTIA: Bridging the Programming Model Gaps for Custom AI Accelerators PyTorch 2: Faster Machine Learning Through Dynamic Python Bytecode Transformation and Graph Compilation,
Reference 31
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Unavailable: canonical work link unavailable.
Observation ba46a84e-18f2-46f3-ab35-d501bc920c01 · outbound
Triton for MTIA: Bridging the Programming Model Gaps for Custom AI Accelerators Halide: a language and compiler for optimizing parallelism, locality, and recomputation in image processing pipelines,
Reference 32
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Unavailable: canonical work link unavailable.
Observation f622ecb8-5f32-4c58-b524-67397bb7e080 · outbound
Triton for MTIA: Bridging the Programming Model Gaps for Custom AI Accelerators risc-v-spec,
Reference 33
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Unavailable: canonical work link unavailable.
Observation 439f7e3d-a022-48ff-a94d-93b6ba0fed41 · outbound
Triton for MTIA: Bridging the Programming Model Gaps for Custom AI Accelerators triton-shared: A shared middle-layer for the Triton Compiler,
Reference 34
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Unavailable: canonical work link unavailable.
Observation aae04403-a6ca-41f1-984a-456551dd0121 · outbound
Triton for MTIA: Bridging the Programming Model Gaps for Custom AI Accelerators Software pipelining,
Reference 35
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Observation 1b8792b0-645a-4893-b33d-9b977d23d4fa · outbound
Triton for MTIA: Bridging the Programming Model Gaps for Custom AI Accelerators Triton: Extern Func- tions Tutorial,
Reference 36
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Observation 00a9750a-216f-41aa-aa20-d32e63073369 · outbound
Triton for MTIA: Bridging the Programming Model Gaps for Custom AI Accelerators MLIR: Scal- ing Compiler Infrastructure for Domain Specific Computation,
Reference 37
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Observation ab501b72-00a1-4a81-bab5-1e461ea78651 · outbound
Triton for MTIA: Bridging the Programming Model Gaps for Custom AI Accelerators Attention is All you Need,
Reference 38
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Observation 49ed9225-3bde-4fee-982a-7b95cdf915c3 · outbound
Triton for MTIA: Bridging the Programming Model Gaps for Custom AI Accelerators gpt-oss-120b & gpt-oss-20b Model Card
Reference 2025
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Unavailable: canonical work link unavailable.
No inbound Pith citation observations are available.