Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-04T04:18:29.575504Z
Paper Citation Record · LEDGER
As of 10 August 2026, this Paper Citation Record lists 58 of 58 outbound references and 0 inbound Pith citation observations for arXiv:2607.17074.
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 2026-08-04T04:18:29.575504Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+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
58 of 58 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation bfcb7510-d51a-43c3-9196-bbc798a5fec8 · outbound
ThAME: 3D Memory-Enabled Heterogeneous Accelerator for LLM Mixture of Experts Existing memory hierarchies fail to balance the trade-off between density, leakage, and access latency for these sparse, static weights
Reference 1
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Observation 4b722ce4-fe5a-4d59-a953-1b1263c896b2 · outbound
ThAME: 3D Memory-Enabled Heterogeneous Accelerator for LLM Mixture of Experts Consequently, the routing of tokens from their source to the assigned expert computing cores for a particular batch creates a non-deterministic traffic pattern
Reference 2
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Observation dd4fbbad-7903-4d63-8fa0-8301bb73965d · outbound
ThAME: 3D Memory-Enabled Heterogeneous Accelerator for LLM Mixture of Experts 1) imposes a synchronous gather operation
Reference 3
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Observation 39c6fb6a-bce3-458a-97bc-e25843d841a8 · outbound
ThAME: 3D Memory-Enabled Heterogeneous Accelerator for LLM Mixture of Experts stationary
Reference 4
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Observation 0b05ed8b-d4b9-4e86-adde-cb40cb7d245f · outbound
ThAME: 3D Memory-Enabled Heterogeneous Accelerator for LLM Mixture of Experts Unresolved cited work
Reference 5
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Observation 78244fb3-0bf2-4021-9fcb-6e67ee9d36f9 · outbound
ThAME: 3D Memory-Enabled Heterogeneous Accelerator for LLM Mixture of Experts Second, the number of links must not exceed that of a standard 2D mesh NoC
Reference 6
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Observation a038e01e-c53f-4d9b-9c97-29d550bbc257 · outbound
ThAME: 3D Memory-Enabled Heterogeneous Accelerator for LLM Mixture of Experts robustly
Reference 7
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Observation 162aa294-f168-404d-acb9-e626d82d50e1 · outbound
ThAME: 3D Memory-Enabled Heterogeneous Accelerator for LLM Mixture of Experts CHIME: Chiplet -based Heterogeneous Near -Memory Acceleration for Edge Multimodal LLM Inference,
Reference 8
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Observation 90716323-e213-4bff-b6d1-0aa956e71975 · outbound
ThAME: 3D Memory-Enabled Heterogeneous Accelerator for LLM Mixture of Experts A survey of transformers,
Reference 9
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Observation 5dd1275f-a549-47eb-8c04-32ed728db55a · outbound
ThAME: 3D Memory-Enabled Heterogeneous Accelerator for LLM Mixture of Experts Mixture of Experts in Large Language Models,
Reference 10
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Observation bb23b340-09ff-47a8-9fef-8676840ce54d · outbound
ThAME: 3D Memory-Enabled Heterogeneous Accelerator for LLM Mixture of Experts A survey of architectural approaches for improving GPGPU performance, programmability and heterogeneity,
Reference 11
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Observation cc6266ca-d5f4-44a5-94a9-db09ade7ab9b · outbound
ThAME: 3D Memory-Enabled Heterogeneous Accelerator for LLM Mixture of Experts Focus Session: Hardware/Software Co -Design to Accelerate Generative AI Workloads on Heterogeneous Architectures,
Reference 12
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Observation 460cf6e7-e59a-4830-b295-89a634f5602d · outbound
ThAME: 3D Memory-Enabled Heterogeneous Accelerator for LLM Mixture of Experts A Survey on Memory -centric Computer Architectures,
Reference 13
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Observation 9b353477-79ba-4608-ad1b-587f8fe44963 · outbound
ThAME: 3D Memory-Enabled Heterogeneous Accelerator for LLM Mixture of Experts X-Former: In-Memory Acceleration of Transformers,
Reference 14
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Observation 6ed8dd75-b7d9-4e5f-a3bb-41394626c266 · outbound
ThAME: 3D Memory-Enabled Heterogeneous Accelerator for LLM Mixture of Experts HeTraX: Energy Efficient 3D Heterogeneous Manycore Architecture for Transformer Acceleration,
Reference 15
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Observation c145a185-b39c-4deb-b24e-ed8fc5edbc22 · outbound
ThAME: 3D Memory-Enabled Heterogeneous Accelerator for LLM Mixture of Experts {DistServe}: Disaggregating prefill and decoding for goodput-optimized large language model serving,
Reference 16
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Observation e697229f-87a7-4dd0-ac2d-52cb9bae2534 · outbound
ThAME: 3D Memory-Enabled Heterogeneous Accelerator for LLM Mixture of Experts H3D-Transformer: A Heterogeneous 3D (H3D) Computing Platform for Transformer Model Acceleration on Edge Devices,
Reference 17
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Observation ca96cdfe-1c76-416b-8bf6-a9b568df6b13 · outbound
ThAME: 3D Memory-Enabled Heterogeneous Accelerator for LLM Mixture of Experts Compute -in-Memory Chips for Deep Learning: Recent Trends and Prospects,
Reference 18
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Observation 286ed6e2-92d8-4cf2-9ea8-7d8824cd68c9 · outbound
ThAME: 3D Memory-Enabled Heterogeneous Accelerator for LLM Mixture of Experts Atleus: Accelerating Transformers on the Edge Enabled by 3D Heterogeneous Manycore Architectures,
Reference 19
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Observation a478050f-d827-423e-b18d-b31e5610d132 · outbound
ThAME: 3D Memory-Enabled Heterogeneous Accelerator for LLM Mixture of Experts MixNet: A Runtime Reconfigurable Optical -Electrical Fabric for Distributed Mixture -of-Experts Training,
Reference 20
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Observation 2a710d4d-b218-4bf5-b68f-68f05679743b · outbound
ThAME: 3D Memory-Enabled Heterogeneous Accelerator for LLM Mixture of Experts Accelerating Distributed MoE Training and Inference with Lina
Reference 21
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Observation 3d4913c5-33c4-4281-b8a2-79465c8a6012 · outbound
ThAME: 3D Memory-Enabled Heterogeneous Accelerator for LLM Mixture of Experts A3D-MoE: Acceleration of Large Language Models with Mixture of Experts via 3D Heterogeneous Integration
Reference 22
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Observation c101cae5-b458-4bc7-b82d-70632d32cf91 · outbound
ThAME: 3D Memory-Enabled Heterogeneous Accelerator for LLM Mixture of Experts Stratum: System -Hardware Co -Design with Tiered Monolithic 3D-Stackable DRAM for Efficient MoE Serving,
Reference 23
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Observation cd84cf73-c326-4d08-b9a5-a29bf8c70b0f · outbound
ThAME: 3D Memory-Enabled Heterogeneous Accelerator for LLM Mixture of Experts Superior QLC Retention (10 Years, 85°C) and Record Memory Window (12.2 V) by Gate Stack Engineering in Ferroelectric FET: from ‘MIFIS’ to
Reference 24
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Observation 9900ace6-1356-4eb1-8e94-67bfdc106e3c · outbound
ThAME: 3D Memory-Enabled Heterogeneous Accelerator for LLM Mixture of Experts DeepSeekMoE: Towards Ultimate Expert Specialization in Mixture-of-Experts Language Models,
Reference 25
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Observation e920f1cd-3045-468f-b17d-56d78cc20fd4 · outbound
ThAME: 3D Memory-Enabled Heterogeneous Accelerator for LLM Mixture of Experts Newton: A DRAM-maker’s accelerator-in-memory (AiM) architecture for machine learning,
Reference 26
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Observation 07a24695-bb04-4b64-9e49-25d3a6dc0486 · outbound
ThAME: 3D Memory-Enabled Heterogeneous Accelerator for LLM Mixture of Experts Sandisk unveils the future of memory architecture for AI introducing: High bandwidth flash
Reference 27
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Observation 252ccc09-07a0-4935-b2aa-091cd3e8d1c4 · outbound
ThAME: 3D Memory-Enabled Heterogeneous Accelerator for LLM Mixture of Experts High Bandwidth Flash: A New Memory for the Next Generation of AI Computing,
Reference 28
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Observation e526af7b-ecea-4b9f-bb23-532cce45eb50 · outbound
ThAME: 3D Memory-Enabled Heterogeneous Accelerator for LLM Mixture of Experts H3 : H ybrid Architecture Using High Bandwidth Memory and High Bandwidth Flash for Cost-Efficient LLM Inference,
Reference 29
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Observation 023cc1d5-24e2-4fb8-95da-a8cdd378ec23 · outbound
ThAME: 3D Memory-Enabled Heterogeneous Accelerator for LLM Mixture of Experts 3D Memories and Ferroelectrics,
Reference 30
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Observation ec06d9fa-9184-403c-a83b-3a86c4e91f1b · outbound
ThAME: 3D Memory-Enabled Heterogeneous Accelerator for LLM Mixture of Experts A Vertical Channel -All-Around FeFET with Thermally Stable Oxide Semiconductor Achieving High ΔIon > 2µA/cell for 3D Stackable 4F 2 High Speed Memory,
Reference 31
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Observation dde4c86c-6748-47dd-a843-7b7ccf9e2e97 · outbound
ThAME: 3D Memory-Enabled Heterogeneous Accelerator for LLM Mixture of Experts The MMLU dataset provides a highly diverse set of multiple -choice questions spanning 57 distinct subjects (ranging from STEM to humanities)
Reference 32
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Observation 414fa6ef-e824-485e-8c16-503401c6494e · outbound
ThAME: 3D Memory-Enabled Heterogeneous Accelerator for LLM Mixture of Experts AttAcc! Unleashing the Power of PIM for Batched Transformer-based Generative Model Inference,
Reference 33
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Observation fefedb73-951f-4d2a-b6bb-1ce43aad398a · outbound
ThAME: 3D Memory-Enabled Heterogeneous Accelerator for LLM Mixture of Experts Cloud TPU v6e
Reference 34
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Observation a3afd2fa-c40f-4ab9-8ae4-2b6980eee0cf · outbound
ThAME: 3D Memory-Enabled Heterogeneous Accelerator for LLM Mixture of Experts In -Datacenter Performance Analysis of a Tensor Processing Unit,
Reference 35
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Observation 01401004-dbff-4d3e-9923-e9b79a68e80c · outbound
ThAME: 3D Memory-Enabled Heterogeneous Accelerator for LLM Mixture of Experts Universal Chiplet Interconnect Express (UCIe): An Open Industry Standard for Innovations With Chiplets at Package Level,
Reference 36
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Observation cb526c6e-5eb9-4620-a1e7-c0d1692b986b · outbound
ThAME: 3D Memory-Enabled Heterogeneous Accelerator for LLM Mixture of Experts 3 -D NAND Technology Achievements and Future Scaling Perspectives,
Reference 37
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Observation d1edbf7a-96bd-4793-9a10-675edec38b76 · outbound
ThAME: 3D Memory-Enabled Heterogeneous Accelerator for LLM Mixture of Experts Unleash Scaling Potential of 3D NAND with Innovative Xtacking® Architecture,
Reference 38
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Observation 3299ffef-b6cf-4745-b88f-a8710a38e42b · outbound
ThAME: 3D Memory-Enabled Heterogeneous Accelerator for LLM Mixture of Experts Ferroelectric Field-Effect Transistor-Based 3-D NAND Architecture for Energy -Efficient on -Chip Training Accelerator,
Reference 39
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Observation 72c5b852-157f-45bd-9bda-d7f6e6113579 · outbound
ThAME: 3D Memory-Enabled Heterogeneous Accelerator for LLM Mixture of Experts High-Endurance (>1011 cycles) and Thermally-Stable Sub-100nm TiO 2 Channel FeFET for Low -Power Memory Centric 3D -LSI Applications,
Reference 40
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Observation 9f58fd3f-572e-4f3f-be65-9226a8b08c44 · outbound
ThAME: 3D Memory-Enabled Heterogeneous Accelerator for LLM Mixture of Experts CMOS Directly Bonded to Array (CBA) Technology for Future 3D Flash Memory,
Reference 41
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Observation fa7ed367-5e42-4c77-9fc7-8490997c7869 · outbound
ThAME: 3D Memory-Enabled Heterogeneous Accelerator for LLM Mixture of Experts A Systematic Methodology for Characterizing Scalability of DNN Accelerators using SCALE -Sim,
Reference 42
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Observation b2c16ecb-94e2-4962-9ba3-57b773167fcd · outbound
ThAME: 3D Memory-Enabled Heterogeneous Accelerator for LLM Mixture of Experts On generalized fat trees,
Reference 43
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Observation 277e287d-06f8-47a6-b7a6-02cc3a31dcdd · outbound
ThAME: 3D Memory-Enabled Heterogeneous Accelerator for LLM Mixture of Experts Simba: Scaling Deep -Learning Inference with Multi - Chip-Module-Based Architecture,
Reference 44
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Observation c4ae1700-ec96-42ac-9db1-f85d3147470c · outbound
ThAME: 3D Memory-Enabled Heterogeneous Accelerator for LLM Mixture of Experts Learning -Based Application -Agnostic 3D NoC Design for Heterogeneous Manycore Systems,
Reference 45
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Observation 1476f098-0b2f-46be-92b4-482317e4afe3 · outbound
ThAME: 3D Memory-Enabled Heterogeneous Accelerator for LLM Mixture of Experts A Simulated Annealing -Based Multiobjective Optimization Algorithm: AMOSA,
Reference 46
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Observation 957dc3a7-4439-4227-ad34-6d19838e6730 · outbound
ThAME: 3D Memory-Enabled Heterogeneous Accelerator for LLM Mixture of Experts DNN+NeuroSim V2.0: An End -to-End Benchmarking Framework for Compute -in-Memory Accelerators for On -Chip Training,
Reference 47
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Observation e9643936-f20d-470c-b06f-6ecb041affb4 · outbound
ThAME: 3D Memory-Enabled Heterogeneous Accelerator for LLM Mixture of Experts A detailed and flexible cycle -accurate Network-on-Chip simulator,
Reference 48
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Observation 0f71c0d3-324f-4165-a28a-11446816320e · outbound
ThAME: 3D Memory-Enabled Heterogeneous Accelerator for LLM Mixture of Experts Hotspot 6.0: Validation, accelacceleration and Extension,
Reference 49
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Observation e7722b37-82fc-44a1-af1f-858e449b68f5 · outbound
ThAME: 3D Memory-Enabled Heterogeneous Accelerator for LLM Mixture of Experts A Survey of Design and Optimization for Systolic Array - based DNN Accelerators,
Reference 50
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Observation e6886916-53da-489e-8e6d-96b1af4f1470 · outbound
ThAME: 3D Memory-Enabled Heterogeneous Accelerator for LLM Mixture of Experts Ultra High Density SoIC with Sub-micron Bond Pitch,
Reference 51
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Observation 21032911-52f6-4b5d-bf7c-7bed2b35a700 · outbound
ThAME: 3D Memory-Enabled Heterogeneous Accelerator for LLM Mixture of Experts System on Integrated Chips (SoIC(TM) for 3D Heterogeneous Integration,
Reference 52
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Observation a20fa63e-4428-41e3-af34-d7153cd62b58 · outbound
ThAME: 3D Memory-Enabled Heterogeneous Accelerator for LLM Mixture of Experts Efficient Memory Management for Large Language Model Serving with PagedAttention,
Reference 53
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Observation 40b88454-160b-42c3-92a1-c506ff20423d · outbound
ThAME: 3D Memory-Enabled Heterogeneous Accelerator for LLM Mixture of Experts [Online]
Reference 54
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Observation e8ecd680-8232-4761-a169-ff91e9dd3c2f · outbound
ThAME: 3D Memory-Enabled Heterogeneous Accelerator for LLM Mixture of Experts [Online]
Reference 55
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Observation 153f92f2-6351-4ff1-a2b2-0842f9689ddb · outbound
ThAME: 3D Memory-Enabled Heterogeneous Accelerator for LLM Mixture of Experts [Online]
Reference 56
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Observation 2975c53a-2d34-4e39-bb13-1a8c5f439bcb · outbound
ThAME: 3D Memory-Enabled Heterogeneous Accelerator for LLM Mixture of Experts [Online]
Reference 57
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Observation e8dcb13b-c9a5-4dc9-a727-545f313e554e · outbound
ThAME: 3D Memory-Enabled Heterogeneous Accelerator for LLM Mixture of Experts [Online]
Reference 58
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No inbound Pith citation observations are available.