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Paper Citation Record · LEDGER

ThAME: 3D Memory-Enabled Heterogeneous Accelerator for LLM Mixture of Experts

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.

pith.paper-citation-record.v1
2607.17074 v2

Coverage vector

measured 58 of 58 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T04:18:29.575504Z

measured 58 of 58 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+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

58 of 58 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved57
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

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Outbound references

Observation bfcb7510-d51a-43c3-9196-bbc798a5fec8 · outbound

This paper cites Existing memory hierarchies fail to balance the trade-off between density, leakage, and access latency for these sparse, static weights.

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

This paper cites Consequently, the routing of tokens from their source to the assigned expert computing cores for a particular batch creates a non-deterministic traffic pattern.

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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source=pdf_text observed=2026-08-04T04:18:18.324875Z digest=sha256:c76cacfd6c8809dae4602c6e448ac12248f9f6d3f88ccbafc4ac63f0bc1ec0fd

Observation dd4fbbad-7903-4d63-8fa0-8301bb73965d · outbound

This paper cites 1) imposes a synchronous gather operation.

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

This paper cites stationary.

ThAME: 3D Memory-Enabled Heterogeneous Accelerator for LLM Mixture of Experts stationary

Reference 4

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source=pdf_text observed=2026-08-04T04:18:18.636671Z digest=sha256:c36991e11ed0e03d956c2b7cf2bfe246432d42566327f1d17ff4be78bd63fd1f

Observation 0b05ed8b-d4b9-4e86-adde-cb40cb7d245f · outbound

This paper cites an unresolved cited work.

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

This paper cites Second, the number of links must not exceed that of a standard 2D mesh NoC.

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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source=pdf_text observed=2026-08-04T04:18:19.004736Z digest=sha256:f5f8029b3605c6bfa77ce3fb8fad5fdd28b618658b6784d3b5c7f8a9fa58d4fd

Observation a038e01e-c53f-4d9b-9c97-29d550bbc257 · outbound

This paper cites robustly.

ThAME: 3D Memory-Enabled Heterogeneous Accelerator for LLM Mixture of Experts robustly

Reference 7

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source=pdf_text observed=2026-08-04T04:18:19.105915Z digest=sha256:cdf49a49140d2e669d6a09e0fbd14bf4d43a618019105dc30126fcb637325249

Observation 162aa294-f168-404d-acb9-e626d82d50e1 · outbound

This paper cites CHIME: Chiplet -based Heterogeneous Near -Memory Acceleration for Edge Multimodal LLM Inference,.

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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source=pdf_text observed=2026-08-04T04:18:20.534747Z digest=sha256:ac0c2c5ac0925c8ad0b7de0acf237051260ac899468eaa688407ed671e1f558f

Observation 90716323-e213-4bff-b6d1-0aa956e71975 · outbound

This paper cites A survey of transformers,.

ThAME: 3D Memory-Enabled Heterogeneous Accelerator for LLM Mixture of Experts A survey of transformers,

Reference 9

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source=pdf_text observed=2026-08-04T04:18:19.322692Z digest=sha256:0394b67dac61e62d3a58156bfda35b8e2ddd8ea8ece24fc1a352e5c8ef391af3

Observation 5dd1275f-a549-47eb-8c04-32ed728db55a · outbound

This paper cites Mixture of Experts in Large Language Models,.

ThAME: 3D Memory-Enabled Heterogeneous Accelerator for LLM Mixture of Experts Mixture of Experts in Large Language Models,

Reference 10

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source=pdf_text observed=2026-08-04T04:18:19.423795Z digest=sha256:446ad1f2bf1939330fe92dfb17380e172c9228648c8c9afa3fabc29a2922f7f8

Observation bb23b340-09ff-47a8-9fef-8676840ce54d · outbound

This paper cites A survey of architectural approaches for improving GPGPU performance, programmability and heterogeneity,.

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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source=pdf_text observed=2026-08-04T04:18:19.705032Z digest=sha256:7746843604195a997c815f836772ea6445cae2aee6e1c48b28a2368c464f96a9

Observation cc6266ca-d5f4-44a5-94a9-db09ade7ab9b · outbound

This paper cites Focus Session: Hardware/Software Co -Design to Accelerate Generative AI Workloads on Heterogeneous Architectures,.

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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source=pdf_text observed=2026-08-04T04:18:19.825218Z digest=sha256:6c7e4d2095a16f6116d339c05694503d80f95ffc338d7f34855fbc8d4ec1167d

Observation 460cf6e7-e59a-4830-b295-89a634f5602d · outbound

This paper cites A Survey on Memory -centric Computer Architectures,.

ThAME: 3D Memory-Enabled Heterogeneous Accelerator for LLM Mixture of Experts A Survey on Memory -centric Computer Architectures,

Reference 13

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source=pdf_text observed=2026-08-04T04:18:20.023012Z digest=sha256:09a6c93af0e4a983789f027d0e6c818b45b7a4b82e05d8b5a6c02f6d06546150

Observation 9b353477-79ba-4608-ad1b-587f8fe44963 · outbound

This paper cites X-Former: In-Memory Acceleration of Transformers,.

ThAME: 3D Memory-Enabled Heterogeneous Accelerator for LLM Mixture of Experts X-Former: In-Memory Acceleration of Transformers,

Reference 14

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source=pdf_text observed=2026-08-04T04:18:20.154748Z digest=sha256:32fa12a67da4c1b69f6be9008542e2cac17b9e323ebcef93b81780c8e5ea5595

Observation 6ed8dd75-b7d9-4e5f-a3bb-41394626c266 · outbound

This paper cites HeTraX: Energy Efficient 3D Heterogeneous Manycore Architecture for Transformer Acceleration,.

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

This paper cites {DistServe}: Disaggregating prefill and decoding for goodput-optimized large language model serving,.

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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source=pdf_text observed=2026-08-04T04:18:21.946327Z digest=sha256:205838e81f48206a752e34e90cbaaa52982d4662f73159ede0492fd8897072a9

Observation e697229f-87a7-4dd0-ac2d-52cb9bae2534 · outbound

This paper cites H3D-Transformer: A Heterogeneous 3D (H3D) Computing Platform for Transformer Model Acceleration on Edge Devices,.

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

This paper cites Compute -in-Memory Chips for Deep Learning: Recent Trends and Prospects,.

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

This paper cites Atleus: Accelerating Transformers on the Edge Enabled by 3D Heterogeneous Manycore Architectures,.

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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source=pdf_text observed=2026-08-04T04:18:20.961482Z digest=sha256:0e564c5e71ab56b9704d8f6a1070474039bcf4127482bd587c53c2a5ec0d286f

Observation a478050f-d827-423e-b18d-b31e5610d132 · outbound

This paper cites MixNet: A Runtime Reconfigurable Optical -Electrical Fabric for Distributed Mixture -of-Experts Training,.

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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source=pdf_text observed=2026-08-04T04:18:20.991196Z digest=sha256:458ef883826a02077abb0cf6a14dc4550b9d5d4439fea89e36de11cfe79bf212

Observation 2a710d4d-b218-4bf5-b68f-68f05679743b · outbound

This paper cites Accelerating Distributed MoE Training and Inference with Lina.

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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source=pdf_text observed=2026-08-04T04:18:21.111262Z digest=sha256:0c4b326cbe49691715fd1e7e74e0763f9e418f1f4bbfe7ab7ee41ad8860cbb3b

Observation 3d4913c5-33c4-4281-b8a2-79465c8a6012 · outbound

This paper cites A3D-MoE: Acceleration of Large Language Models with Mixture of Experts via 3D Heterogeneous Integration.

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

This paper cites Stratum: System -Hardware Co -Design with Tiered Monolithic 3D-Stackable DRAM for Efficient MoE Serving,.

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

This paper cites Superior QLC Retention (10 Years, 85°C) and Record Memory Window (12.2 V) by Gate Stack Engineering in Ferroelectric FET: from ‘MIFIS’ to.

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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source=pdf_text observed=2026-08-04T04:18:26.033328Z digest=sha256:67d36a61698751bf827d88b68eaaf143ab3a447f21a3a3cc8370554d2dc7042f

Observation 9900ace6-1356-4eb1-8e94-67bfdc106e3c · outbound

This paper cites DeepSeekMoE: Towards Ultimate Expert Specialization in Mixture-of-Experts Language Models,.

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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source=pdf_text observed=2026-08-04T04:18:25.099615Z digest=sha256:908e81295168b517754b98e5e968b094762b9152430bc9b6ce42eed3937ab33b

Observation e920f1cd-3045-468f-b17d-56d78cc20fd4 · outbound

This paper cites Newton: A DRAM-maker’s accelerator-in-memory (AiM) architecture for machine learning,.

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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source=pdf_text observed=2026-08-04T04:18:25.245562Z digest=sha256:25ce37d5d5aecc7790f3be95ac1407bfd70acdaaab203d50052d382f7c23c769

Observation 07a24695-bb04-4b64-9e49-25d3a6dc0486 · outbound

This paper cites Sandisk unveils the future of memory architecture for AI introducing: High bandwidth flash.

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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source=pdf_text observed=2026-08-04T04:18:25.444747Z digest=sha256:945498f285dd86df6bd02991f8549dd4614544dece9f12bf2cb1582b7a3e11fc

Observation 252ccc09-07a0-4935-b2aa-091cd3e8d1c4 · outbound

This paper cites High Bandwidth Flash: A New Memory for the Next Generation of AI Computing,.

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

This paper cites H3 : H ybrid Architecture Using High Bandwidth Memory and High Bandwidth Flash for Cost-Efficient LLM Inference,.

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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source=pdf_text observed=2026-08-04T04:18:25.700187Z digest=sha256:a41c45cc6d314232e86d793df06cbf76a9f132814a63e0fc0818c6ca6b97c67d

Observation 023cc1d5-24e2-4fb8-95da-a8cdd378ec23 · outbound

This paper cites 3D Memories and Ferroelectrics,.

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

This paper cites A Vertical Channel -All-Around FeFET with Thermally Stable Oxide Semiconductor Achieving High ΔIon > 2µA/cell for 3D Stackable 4F 2 High Speed Memory,.

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

This paper cites The MMLU dataset provides a highly diverse set of multiple -choice questions spanning 57 distinct subjects (ranging from STEM to humanities).

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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source=pdf_text observed=2026-08-04T04:18:19.200564Z digest=sha256:b1deb6d72da35c67e5340f63b0110a43d8c159a4a6162e141ca6c1d80fbf5691

Observation 414fa6ef-e824-485e-8c16-503401c6494e · outbound

This paper cites AttAcc! Unleashing the Power of PIM for Batched Transformer-based Generative Model Inference,.

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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source=pdf_text observed=2026-08-04T04:18:26.175455Z digest=sha256:08b61ec4e30ad127b3881fc7e2e838b035337d9cb45aed9049345e98d006ae55

Observation fefedb73-951f-4d2a-b6bb-1ce43aad398a · outbound

This paper cites Cloud TPU v6e.

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

This paper cites In -Datacenter Performance Analysis of a Tensor Processing Unit,.

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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source=pdf_text observed=2026-08-04T04:18:26.353056Z digest=sha256:d432c08d3182e3777441f6429e2d48c8716d5f9879c9d81616c4d3afbac7d61d

Observation 01401004-dbff-4d3e-9923-e9b79a68e80c · outbound

This paper cites Universal Chiplet Interconnect Express (UCIe): An Open Industry Standard for Innovations With Chiplets at Package Level,.

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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source=pdf_text observed=2026-08-04T04:18:26.451944Z digest=sha256:9a8183aaa063a1ed5062b0bec381277de919b7451b60645bbc59812c57513501

Observation cb526c6e-5eb9-4620-a1e7-c0d1692b986b · outbound

This paper cites 3 -D NAND Technology Achievements and Future Scaling Perspectives,.

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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source=pdf_text observed=2026-08-04T04:18:26.530306Z digest=sha256:c8aecaf0e200b7a732d912d40dbf9ddde9f08d14fc26b2e4011496a7da1655c6

Observation d1edbf7a-96bd-4793-9a10-675edec38b76 · outbound

This paper cites Unleash Scaling Potential of 3D NAND with Innovative Xtacking® Architecture,.

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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source=pdf_text observed=2026-08-04T04:18:26.636650Z digest=sha256:9a3237561558487fa85c1ef5db91c64621237aa655126ea3a30680c5b97d3c0e

Observation 3299ffef-b6cf-4745-b88f-a8710a38e42b · outbound

This paper cites Ferroelectric Field-Effect Transistor-Based 3-D NAND Architecture for Energy -Efficient on -Chip Training Accelerator,.

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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source=pdf_text observed=2026-08-04T04:18:26.937602Z digest=sha256:6d127a88581b0bd18d04235c28108ec5bb1f36ce012cc80d56373fd73793336e

Observation 72c5b852-157f-45bd-9bda-d7f6e6113579 · outbound

This paper cites High-Endurance (>1011 cycles) and Thermally-Stable Sub-100nm TiO 2 Channel FeFET for Low -Power Memory Centric 3D -LSI Applications,.

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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source=pdf_text observed=2026-08-04T04:18:27.132621Z digest=sha256:319248f2b197f6547f0db1132d2cbbe4e1b398f5b637d5be0b6a717792f6984b

Observation 9f58fd3f-572e-4f3f-be65-9226a8b08c44 · outbound

This paper cites CMOS Directly Bonded to Array (CBA) Technology for Future 3D Flash Memory,.

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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source=pdf_text observed=2026-08-04T04:18:27.290937Z digest=sha256:6c6633f123d5b738c9ff14876a1756f0b460cd2f2887a5898a1814056bc5c459

Observation fa7ed367-5e42-4c77-9fc7-8490997c7869 · outbound

This paper cites A Systematic Methodology for Characterizing Scalability of DNN Accelerators using SCALE -Sim,.

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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source=pdf_text observed=2026-08-04T04:18:27.472623Z digest=sha256:0cba426f3789f8d13d38f66e6f9ed081ee45d43ae898745925d69ba3c872bd7c

Observation b2c16ecb-94e2-4962-9ba3-57b773167fcd · outbound

This paper cites On generalized fat trees,.

ThAME: 3D Memory-Enabled Heterogeneous Accelerator for LLM Mixture of Experts On generalized fat trees,

Reference 43

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source=pdf_text observed=2026-08-04T04:18:27.580529Z digest=sha256:838e46a7560aad82f260851d44f7c63e77f7bdbefea827b1d4676a77318482df

Observation 277e287d-06f8-47a6-b7a6-02cc3a31dcdd · outbound

This paper cites Simba: Scaling Deep -Learning Inference with Multi - Chip-Module-Based Architecture,.

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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source=pdf_text observed=2026-08-04T04:18:27.649967Z digest=sha256:2913f4fcff1921ccbfb28e7ad39855a01c475b4a3a61c358aaae982cee5f6de1

Observation c4ae1700-ec96-42ac-9db1-f85d3147470c · outbound

This paper cites Learning -Based Application -Agnostic 3D NoC Design for Heterogeneous Manycore Systems,.

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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source=pdf_text observed=2026-08-04T04:18:27.812666Z digest=sha256:60e49e5a28c591cb72b5ad0fe50cfc9e251152052547c042ff4e46c797bc1db6

Observation 1476f098-0b2f-46be-92b4-482317e4afe3 · outbound

This paper cites A Simulated Annealing -Based Multiobjective Optimization Algorithm: AMOSA,.

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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source=pdf_text observed=2026-08-04T04:18:27.997055Z digest=sha256:bbee190b2335d8bbd8dd53ed285d06cad91201f2501b9bc87ec64136e982f0ea

Observation 957dc3a7-4439-4227-ad34-6d19838e6730 · outbound

This paper cites DNN+NeuroSim V2.0: An End -to-End Benchmarking Framework for Compute -in-Memory Accelerators for On -Chip Training,.

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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source=pdf_text observed=2026-08-04T04:18:28.129727Z digest=sha256:7ed53d2f467a8df69d18c62c8f37846beb6b462e85aa85e2baf6d1efc9f37d47

Observation e9643936-f20d-470c-b06f-6ecb041affb4 · outbound

This paper cites A detailed and flexible cycle -accurate Network-on-Chip simulator,.

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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source=pdf_text observed=2026-08-04T04:18:28.296761Z digest=sha256:b25e03ba209b2eb59e3c59c8f55ba6f5dfa61222fabc50b5c50a904db4dcb33d

Observation 0f71c0d3-324f-4165-a28a-11446816320e · outbound

This paper cites Hotspot 6.0: Validation, accelacceleration and Extension,.

ThAME: 3D Memory-Enabled Heterogeneous Accelerator for LLM Mixture of Experts Hotspot 6.0: Validation, accelacceleration and Extension,

Reference 49

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source=pdf_text observed=2026-08-04T04:18:28.423534Z digest=sha256:61818e34bddf34cca28c9145cc9848a80666cb28caace9dc2cc1dc849231a4ff

Observation e7722b37-82fc-44a1-af1f-858e449b68f5 · outbound

This paper cites A Survey of Design and Optimization for Systolic Array - based DNN Accelerators,.

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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source=pdf_text observed=2026-08-04T04:18:28.555550Z digest=sha256:0480f1fa731cea1bd55da9da41c3e153ff895f5fe565da5cdef25f6b4feb7480

Observation e6886916-53da-489e-8e6d-96b1af4f1470 · outbound

This paper cites Ultra High Density SoIC with Sub-micron Bond Pitch,.

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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source=pdf_text observed=2026-08-04T04:18:28.623547Z digest=sha256:fef11cf3066bd610a3a91c1dea50a8e0752b1ec02301b53dbe26fccb36d6f6c6

Observation 21032911-52f6-4b5d-bf7c-7bed2b35a700 · outbound

This paper cites System on Integrated Chips (SoIC(TM) for 3D Heterogeneous Integration,.

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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source=pdf_text observed=2026-08-04T04:18:28.768517Z digest=sha256:3b9910d4eeabd8e058f4fbd4aa7f75cc21007439e713971c44bc0fe3f94656fd

Observation a20fa63e-4428-41e3-af34-d7153cd62b58 · outbound

This paper cites Efficient Memory Management for Large Language Model Serving with PagedAttention,.

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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source=pdf_text observed=2026-08-04T04:18:28.905462Z digest=sha256:5362a93c08f22bfb0e13ee8d8a607a36dffb2ec9cbc1d0533eebd405fd3bdf7d

Observation 40b88454-160b-42c3-92a1-c506ff20423d · outbound

This paper cites [Online].

ThAME: 3D Memory-Enabled Heterogeneous Accelerator for LLM Mixture of Experts [Online]

Reference 54

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source=pdf_text observed=2026-08-04T04:18:29.004045Z digest=sha256:da9e2b11dc4784d255e0b02ece6886b815b1a6cbd3123b0889ac78abb9b1a6e2

Observation e8ecd680-8232-4761-a169-ff91e9dd3c2f · outbound

This paper cites [Online].

ThAME: 3D Memory-Enabled Heterogeneous Accelerator for LLM Mixture of Experts [Online]

Reference 55

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source=pdf_text observed=2026-08-04T04:18:29.127717Z digest=sha256:48840c6b5f960e5fa330862b3407250923eafa86f763126f94406d54e0bfa392

Observation 153f92f2-6351-4ff1-a2b2-0842f9689ddb · outbound

This paper cites [Online].

ThAME: 3D Memory-Enabled Heterogeneous Accelerator for LLM Mixture of Experts [Online]

Reference 56

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source=pdf_text observed=2026-08-04T04:18:29.298878Z digest=sha256:0fbc8042a77187cc0486e77b21d6e34419c91fdd3ea565c5c8cf88bfb59740f8

Observation 2975c53a-2d34-4e39-bb13-1a8c5f439bcb · outbound

This paper cites [Online].

ThAME: 3D Memory-Enabled Heterogeneous Accelerator for LLM Mixture of Experts [Online]

Reference 57

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source=pdf_text observed=2026-08-04T04:18:29.471278Z digest=sha256:109c118258f42345f32610f31a3f47334be29e71f570f7a1b1aaddf368603f65

Observation e8dcb13b-c9a5-4dc9-a727-545f313e554e · outbound

This paper cites [Online].

ThAME: 3D Memory-Enabled Heterogeneous Accelerator for LLM Mixture of Experts [Online]

Reference 58

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source=pdf_text observed=2026-08-04T04:18:29.575504Z digest=sha256:b4635ed956daa8840a09dbcbc06671faad2e3e5ff48816c9f6aed3fc383e74ab

Pith citing papers

No inbound Pith citation observations are available.