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Paper Citation Record · LEDGER

HeteroMosaic: Exposing and Exploiting Heterogeneous Execution Opportunities for Energy-Efficient Edge LLM Inference

As of 22 August 2026, this Paper Citation Record lists 91 of 91 outbound references and 0 inbound Pith citation observations for arXiv:2607.12839.

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

pith.paper-citation-record.v1
2607.12839 v4

Coverage vector

measured 91 of 91 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-02T06:22:22.488014Z

measured 91 of 91 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+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

91 of 91 outbound references displayed

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  • verified fuzzy0
  • unresolved90
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

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Outbound references

Observation 9917b394-1208-40be-944e-7a9e868f3c57 · outbound

This paper cites Technical Report.

HeteroMosaic: Exposing and Exploiting Heterogeneous Execution Opportunities for Energy-Efficient Edge LLM Inference Technical Report

Reference 1

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Observation 15d962fc-3c7a-4e5c-8b2c-d09572e4862b · outbound

This paper cites 2025.AMD Ryzen™AI 9 HX 370.

HeteroMosaic: Exposing and Exploiting Heterogeneous Execution Opportunities for Energy-Efficient Edge LLM Inference 2025.AMD Ryzen™AI 9 HX 370

Reference 2

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Observation fd013eaf-a333-49f8-ad27-8a969967e054 · outbound

This paper cites an unresolved cited work.

HeteroMosaic: Exposing and Exploiting Heterogeneous Execution Opportunities for Energy-Efficient Edge LLM Inference Unresolved cited work

Reference 3

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Observation 67e0e782-03a3-404f-b440-456416ae8c2c · outbound

This paper cites Gulavani, and Ramachandran Ramjee.

HeteroMosaic: Exposing and Exploiting Heterogeneous Execution Opportunities for Energy-Efficient Edge LLM Inference Gulavani, and Ramachandran Ramjee

Reference 4

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Observation c6c00ec3-0888-4770-97ff-214ef8aa1887 · outbound

This paper cites an unresolved cited work.

HeteroMosaic: Exposing and Exploiting Heterogeneous Execution Opportunities for Energy-Efficient Edge LLM Inference Unresolved cited work

Reference 5

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source=pdf_text observed=2026-08-02T06:22:12.245053Z digest=sha256:12d8011e5a3219abfc9dccfa3e40ce67922a88eb1f8530f5b2df1bea104aef93

Observation b1b5f61d-f74d-4b13-9222-7330da115f2a · outbound

This paper cites 2023.How to accelerate AI applications on RDNA 3 using WMMA.

HeteroMosaic: Exposing and Exploiting Heterogeneous Execution Opportunities for Energy-Efficient Edge LLM Inference 2023.How to accelerate AI applications on RDNA 3 using WMMA

Reference 6

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This paper cites an unresolved cited work.

HeteroMosaic: Exposing and Exploiting Heterogeneous Execution Opportunities for Energy-Efficient Edge LLM Inference Unresolved cited work

Reference 7

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Observation c017daf0-1006-4f06-a1e2-c9971a2ec5b1 · outbound

This paper cites an unresolved cited work.

HeteroMosaic: Exposing and Exploiting Heterogeneous Execution Opportunities for Energy-Efficient Edge LLM Inference Unresolved cited work

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This paper cites an unresolved cited work.

HeteroMosaic: Exposing and Exploiting Heterogeneous Execution Opportunities for Energy-Efficient Edge LLM Inference Unresolved cited work

Reference 9

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HeteroMosaic: Exposing and Exploiting Heterogeneous Execution Opportunities for Energy-Efficient Edge LLM Inference Unresolved cited work

Reference 10

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Observation c0dd4d93-f79a-448a-b174-4c4db804d313 · outbound

This paper cites 2024.HIP Runtime API: hipEventRecord.

HeteroMosaic: Exposing and Exploiting Heterogeneous Execution Opportunities for Energy-Efficient Edge LLM Inference 2024.HIP Runtime API: hipEventRecord

Reference 11

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Observation 01eb2f3d-e1da-4fd5-a296-73ccbafe3e21 · outbound

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HeteroMosaic: Exposing and Exploiting Heterogeneous Execution Opportunities for Energy-Efficient Edge LLM Inference 2024.HIP Runtime API: hipStreamWaitValue32

Reference 12

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Observation a0a9920c-0ced-47c3-8788-ac181f65dc76 · outbound

This paper cites 2025.HIP Runtime API: Streams and Synchro- nization.

HeteroMosaic: Exposing and Exploiting Heterogeneous Execution Opportunities for Energy-Efficient Edge LLM Inference 2025.HIP Runtime API: Streams and Synchro- nization

Reference 13

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Observation 20822bad-c94a-4038-81f2-99bb4e9fb925 · outbound

This paper cites an unresolved cited work.

HeteroMosaic: Exposing and Exploiting Heterogeneous Execution Opportunities for Energy-Efficient Edge LLM Inference Unresolved cited work

Reference 14

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Observation fe347ebb-dc46-40cb-8e6e-68efdf7e4198 · outbound

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HeteroMosaic: Exposing and Exploiting Heterogeneous Execution Opportunities for Energy-Efficient Edge LLM Inference Unresolved cited work

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Observation 9362786e-1456-4808-9d6d-c641a6702691 · outbound

This paper cites an unresolved cited work.

HeteroMosaic: Exposing and Exploiting Heterogeneous Execution Opportunities for Energy-Efficient Edge LLM Inference Unresolved cited work

Reference 16

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Observation 3fe51dd7-1808-4aa7-9e28-55ef5036f5e3 · outbound

This paper cites an unresolved cited work.

HeteroMosaic: Exposing and Exploiting Heterogeneous Execution Opportunities for Energy-Efficient Edge LLM Inference Unresolved cited work

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Observation afd5b302-3e55-47d1-bed1-3ad15ae3ad93 · outbound

This paper cites an unresolved cited work.

HeteroMosaic: Exposing and Exploiting Heterogeneous Execution Opportunities for Energy-Efficient Edge LLM Inference Unresolved cited work

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Observation 9ed7f71a-0e77-431a-a203-5d93e050df7f · outbound

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HeteroMosaic: Exposing and Exploiting Heterogeneous Execution Opportunities for Energy-Efficient Edge LLM Inference Unresolved cited work

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Observation 07b751b7-3ece-428e-8939-4b8158f1067d · outbound

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HeteroMosaic: Exposing and Exploiting Heterogeneous Execution Opportunities for Energy-Efficient Edge LLM Inference Unresolved cited work

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Observation 9244980f-fef1-4f00-9dee-725670ed068b · outbound

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HeteroMosaic: Exposing and Exploiting Heterogeneous Execution Opportunities for Energy-Efficient Edge LLM Inference Unresolved cited work

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Observation a9d1a309-d501-46e6-b341-71d4c60dd5da · outbound

This paper cites an unresolved cited work.

HeteroMosaic: Exposing and Exploiting Heterogeneous Execution Opportunities for Energy-Efficient Edge LLM Inference Unresolved cited work

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Observation 5d0a9d14-31f0-4df6-8906-5de926f271e4 · outbound

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HeteroMosaic: Exposing and Exploiting Heterogeneous Execution Opportunities for Energy-Efficient Edge LLM Inference FlashAttention: Fast and Memory-Efficient Exact Attention with IO-Awareness

Reference 23

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Observation a5393ca1-31c5-4500-bec7-6d76d4b7cf20 · outbound

This paper cites Scaling Rectified Flow Transformers for High-Resolution Image Synthesis.

HeteroMosaic: Exposing and Exploiting Heterogeneous Execution Opportunities for Energy-Efficient Edge LLM Inference Scaling Rectified Flow Transformers for High-Resolution Image Synthesis

Reference 24

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Observation 881270a2-7397-4d2f-a755-9677959f11d0 · outbound

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HeteroMosaic: Exposing and Exploiting Heterogeneous Execution Opportunities for Energy-Efficient Edge LLM Inference Unresolved cited work

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HeteroMosaic: Exposing and Exploiting Heterogeneous Execution Opportunities for Energy-Efficient Edge LLM Inference Unresolved cited work

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Observation 88126e51-822b-415c-aac9-7e644b5c2cd1 · outbound

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HeteroMosaic: Exposing and Exploiting Heterogeneous Execution Opportunities for Energy-Efficient Edge LLM Inference Unresolved cited work

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HeteroMosaic: Exposing and Exploiting Heterogeneous Execution Opportunities for Energy-Efficient Edge LLM Inference Unresolved cited work

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HeteroMosaic: Exposing and Exploiting Heterogeneous Execution Opportunities for Energy-Efficient Edge LLM Inference Unresolved cited work

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HeteroMosaic: Exposing and Exploiting Heterogeneous Execution Opportunities for Energy-Efficient Edge LLM Inference Unresolved cited work

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HeteroMosaic: Exposing and Exploiting Heterogeneous Execution Opportunities for Energy-Efficient Edge LLM Inference Unresolved cited work

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HeteroMosaic: Exposing and Exploiting Heterogeneous Execution Opportunities for Energy-Efficient Edge LLM Inference Unresolved cited work

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HeteroMosaic: Exposing and Exploiting Heterogeneous Execution Opportunities for Energy-Efficient Edge LLM Inference Unresolved cited work

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HeteroMosaic: Exposing and Exploiting Heterogeneous Execution Opportunities for Energy-Efficient Edge LLM Inference Unresolved cited work

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HeteroMosaic: Exposing and Exploiting Heterogeneous Execution Opportunities for Energy-Efficient Edge LLM Inference Unresolved cited work

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This paper cites Real-time Driver Monitoring Systems on Edge AI Device.

HeteroMosaic: Exposing and Exploiting Heterogeneous Execution Opportunities for Energy-Efficient Edge LLM Inference Real-time Driver Monitoring Systems on Edge AI Device

Reference 36

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HeteroMosaic: Exposing and Exploiting Heterogeneous Execution Opportunities for Energy-Efficient Edge LLM Inference Unresolved cited work

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Observation 4f418e49-9b43-47d2-83a3-9d8c709c3bcc · outbound

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HeteroMosaic: Exposing and Exploiting Heterogeneous Execution Opportunities for Energy-Efficient Edge LLM Inference Unresolved cited work

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Observation 45d1e573-ccd8-4fd5-99a0-5a922473c941 · outbound

This paper cites Efficiency, Expressivity, and Extensibility in a Close-to-Metal NPU Programming Interface.

HeteroMosaic: Exposing and Exploiting Heterogeneous Execution Opportunities for Energy-Efficient Edge LLM Inference Efficiency, Expressivity, and Extensibility in a Close-to-Metal NPU Programming Interface

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HeteroMosaic: Exposing and Exploiting Heterogeneous Execution Opportunities for Energy-Efficient Edge LLM Inference Unresolved cited work

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Observation c49640de-4474-4a3e-8231-c8f4a1982a23 · outbound

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HeteroMosaic: Exposing and Exploiting Heterogeneous Execution Opportunities for Energy-Efficient Edge LLM Inference Unresolved cited work

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HeteroMosaic: Exposing and Exploiting Heterogeneous Execution Opportunities for Energy-Efficient Edge LLM Inference Unresolved cited work

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Observation 32d62b01-027e-4d59-b67d-965ea06360e4 · outbound

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HeteroMosaic: Exposing and Exploiting Heterogeneous Execution Opportunities for Energy-Efficient Edge LLM Inference Unresolved cited work

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HeteroMosaic: Exposing and Exploiting Heterogeneous Execution Opportunities for Energy-Efficient Edge LLM Inference Unresolved cited work

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Observation ee4f5914-582c-4fad-9aab-d0de7cb8a555 · outbound

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HeteroMosaic: Exposing and Exploiting Heterogeneous Execution Opportunities for Energy-Efficient Edge LLM Inference Unresolved cited work

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Observation 505f8310-bcd4-436b-84fa-01f5a452d158 · outbound

This paper cites OpenVLA: An Open-Source Vision-Language-Action Model.

HeteroMosaic: Exposing and Exploiting Heterogeneous Execution Opportunities for Energy-Efficient Edge LLM Inference OpenVLA: An Open-Source Vision-Language-Action Model

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Observation 35427e5a-4b54-4628-ad7a-df64c4074985 · outbound

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HeteroMosaic: Exposing and Exploiting Heterogeneous Execution Opportunities for Energy-Efficient Edge LLM Inference Unresolved cited work

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Observation c544cdc0-36be-45d2-8bb1-5460f2d95006 · outbound

This paper cites AWQ: Activation-aware Weight Quantization for LLM Compression and Acceleration.

HeteroMosaic: Exposing and Exploiting Heterogeneous Execution Opportunities for Energy-Efficient Edge LLM Inference AWQ: Activation-aware Weight Quantization for LLM Compression and Acceleration

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Observation c28dc35e-3e6e-4da0-8055-191d5795871a · outbound

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HeteroMosaic: Exposing and Exploiting Heterogeneous Execution Opportunities for Energy-Efficient Edge LLM Inference Unresolved cited work

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Observation aa30c146-219d-4989-807f-9615b89cb529 · outbound

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HeteroMosaic: Exposing and Exploiting Heterogeneous Execution Opportunities for Energy-Efficient Edge LLM Inference Unresolved cited work

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Observation 4943eff2-ec8c-446c-9272-8141696627f1 · outbound

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HeteroMosaic: Exposing and Exploiting Heterogeneous Execution Opportunities for Energy-Efficient Edge LLM Inference Unresolved cited work

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Observation 1eeecf0e-0bf8-4f1e-b23d-57fd05bdbc55 · outbound

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HeteroMosaic: Exposing and Exploiting Heterogeneous Execution Opportunities for Energy-Efficient Edge LLM Inference Unresolved cited work

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Observation 549feebf-4f39-4ca2-977f-fdf44405569c · outbound

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HeteroMosaic: Exposing and Exploiting Heterogeneous Execution Opportunities for Energy-Efficient Edge LLM Inference Unresolved cited work

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Observation f89a88d4-8f30-4f80-b7d6-91813059268a · outbound

This paper cites GR00T N1: An Open Foundation Model for Generalist Humanoid Robots.

HeteroMosaic: Exposing and Exploiting Heterogeneous Execution Opportunities for Energy-Efficient Edge LLM Inference GR00T N1: An Open Foundation Model for Generalist Humanoid Robots

Reference 55

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Observation a1d9c5d6-4ebb-4917-86c8-46c5d2a6f8f2 · outbound

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HeteroMosaic: Exposing and Exploiting Heterogeneous Execution Opportunities for Energy-Efficient Edge LLM Inference Unresolved cited work

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Observation c9f03947-aaa3-48e4-a2da-3bafec3dce36 · outbound

This paper cites GPT-4 Technical Report.

HeteroMosaic: Exposing and Exploiting Heterogeneous Execution Opportunities for Energy-Efficient Edge LLM Inference GPT-4 Technical Report

Reference 57

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Observation 362fe252-26b1-4696-ba4b-7bc6fb42d591 · outbound

This paper cites 2023.Khan Academy.

HeteroMosaic: Exposing and Exploiting Heterogeneous Execution Opportunities for Energy-Efficient Edge LLM Inference 2023.Khan Academy

Reference 58

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Observation f37d1847-bbbe-4df8-82db-24bba16047ce · outbound

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HeteroMosaic: Exposing and Exploiting Heterogeneous Execution Opportunities for Energy-Efficient Edge LLM Inference Unresolved cited work

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Observation 4fe09644-dd41-4b05-94e7-08e33e412850 · outbound

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HeteroMosaic: Exposing and Exploiting Heterogeneous Execution Opportunities for Energy-Efficient Edge LLM Inference Unresolved cited work

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Observation e9a4d2c2-1d44-4fb5-8cda-e2877c80ee80 · outbound

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HeteroMosaic: Exposing and Exploiting Heterogeneous Execution Opportunities for Energy-Efficient Edge LLM Inference Unresolved cited work

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Observation 781e1d23-b592-4cfe-937e-dadb277fd6d9 · outbound

This paper cites Scalable Diffusion Models with Transformers.

HeteroMosaic: Exposing and Exploiting Heterogeneous Execution Opportunities for Energy-Efficient Edge LLM Inference Scalable Diffusion Models with Transformers

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Observation 3dc82e0d-8275-4e87-932c-d75ff506d18a · outbound

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HeteroMosaic: Exposing and Exploiting Heterogeneous Execution Opportunities for Energy-Efficient Edge LLM Inference Unresolved cited work

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Observation effbff3f-a97a-485d-92f2-963e4921607b · outbound

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HeteroMosaic: Exposing and Exploiting Heterogeneous Execution Opportunities for Energy-Efficient Edge LLM Inference Unresolved cited work

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Observation d9b0dab5-ca58-4a92-8b16-f7ca23e3c274 · outbound

This paper cites $\pi_{0.5}$: a Vision-Language-Action Model with Open-World Generalization.

HeteroMosaic: Exposing and Exploiting Heterogeneous Execution Opportunities for Energy-Efficient Edge LLM Inference $\pi_{0.5}$: a Vision-Language-Action Model with Open-World Generalization

Reference 65

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Observation df04f5c6-6d6c-4b31-b9cc-0c40c9b595c7 · outbound

This paper cites $\pi_0$: A Vision-Language-Action Flow Model for General Robot Control.

HeteroMosaic: Exposing and Exploiting Heterogeneous Execution Opportunities for Energy-Efficient Edge LLM Inference $\pi_0$: A Vision-Language-Action Flow Model for General Robot Control

Reference 66

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Observation c577232d-9bf8-40e3-8eb9-e4b1eb4f2ca4 · outbound

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HeteroMosaic: Exposing and Exploiting Heterogeneous Execution Opportunities for Energy-Efficient Edge LLM Inference Unresolved cited work

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Observation db04f736-755d-430f-8852-2053c4467438 · outbound

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HeteroMosaic: Exposing and Exploiting Heterogeneous Execution Opportunities for Energy-Efficient Edge LLM Inference Unresolved cited work

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Observation 1b34211d-302b-46c7-a06a-f69d71bb743e · outbound

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HeteroMosaic: Exposing and Exploiting Heterogeneous Execution Opportunities for Energy-Efficient Edge LLM Inference Unresolved cited work

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Observation eaf455ff-af9f-4a53-b25a-6fcf3bd37217 · outbound

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HeteroMosaic: Exposing and Exploiting Heterogeneous Execution Opportunities for Energy-Efficient Edge LLM Inference Unresolved cited work

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HeteroMosaic: Exposing and Exploiting Heterogeneous Execution Opportunities for Energy-Efficient Edge LLM Inference Unresolved cited work

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Observation 7ba5c18b-559a-465d-9d79-8558626f579a · outbound

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HeteroMosaic: Exposing and Exploiting Heterogeneous Execution Opportunities for Energy-Efficient Edge LLM Inference Unresolved cited work

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Observation 418c566b-0c43-4231-b167-28f1d1d8a27e · outbound

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HeteroMosaic: Exposing and Exploiting Heterogeneous Execution Opportunities for Energy-Efficient Edge LLM Inference Unresolved cited work

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Observation 8b87befa-b380-402e-b9f6-00a6dbe0035e · outbound

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HeteroMosaic: Exposing and Exploiting Heterogeneous Execution Opportunities for Energy-Efficient Edge LLM Inference Unresolved cited work

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Observation f8cff91f-f980-455b-91ed-4be434d9c13f · outbound

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HeteroMosaic: Exposing and Exploiting Heterogeneous Execution Opportunities for Energy-Efficient Edge LLM Inference Unresolved cited work

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Observation 0fa99074-fb3f-4092-835c-b88091dc67e8 · outbound

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HeteroMosaic: Exposing and Exploiting Heterogeneous Execution Opportunities for Energy-Efficient Edge LLM Inference Unresolved cited work

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Observation 55858073-3a81-4b00-85e8-1fc690bd9d79 · outbound

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

HeteroMosaic: Exposing and Exploiting Heterogeneous Execution Opportunities for Energy-Efficient Edge LLM Inference Megatron-LM: Training Multi-Billion Parameter Language Models Using Model Parallelism

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HeteroMosaic: Exposing and Exploiting Heterogeneous Execution Opportunities for Energy-Efficient Edge LLM Inference Unresolved cited work

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HeteroMosaic: Exposing and Exploiting Heterogeneous Execution Opportunities for Energy-Efficient Edge LLM Inference Unresolved cited work

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HeteroMosaic: Exposing and Exploiting Heterogeneous Execution Opportunities for Energy-Efficient Edge LLM Inference Edge Computing and its Application in Robotics: A Survey

Reference 80

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HeteroMosaic: Exposing and Exploiting Heterogeneous Execution Opportunities for Energy-Efficient Edge LLM Inference Unresolved cited work

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HeteroMosaic: Exposing and Exploiting Heterogeneous Execution Opportunities for Energy-Efficient Edge LLM Inference Unresolved cited work

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HeteroMosaic: Exposing and Exploiting Heterogeneous Execution Opportunities for Energy-Efficient Edge LLM Inference Gonzalez

Reference 85

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HeteroMosaic: Exposing and Exploiting Heterogeneous Execution Opportunities for Energy-Efficient Edge LLM Inference Wang and Duen Horng Chau

Reference 86

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HeteroMosaic: Exposing and Exploiting Heterogeneous Execution Opportunities for Energy-Efficient Edge LLM Inference Patterson

Reference 87

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HeteroMosaic: Exposing and Exploiting Heterogeneous Execution Opportunities for Energy-Efficient Edge LLM Inference Unresolved cited work

Reference 89

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HeteroMosaic: Exposing and Exploiting Heterogeneous Execution Opportunities for Energy-Efficient Edge LLM Inference PowerInfer-2: Fast Large Language Model Inference on a Smartphone

Reference 90

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HeteroMosaic: Exposing and Exploiting Heterogeneous Execution Opportunities for Energy-Efficient Edge LLM Inference All are Worth Words: A ViT Backbone for Diffusion Models

Reference 2023

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