Advancing AI-assisted Hardware Design with Hierarchical Decentralized Training and Personalized Inference-Time Optimization | Paper Citation Record

Observation fb062588-a6c0-4327-ac9d-cb69b59d6987 · outbound

This paper cites Hierarchical federated learning across heterogeneous cellular networks.

Advancing AI-assisted Hardware Design with Hierarchical Decentralized Training and Personalized Inference-Time Optimization Hierarchical federated learning across heterogeneous cellular networks

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:35:31.131877Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 0e668ff8-5d15-4853-8a1d-b211be31c31a · outbound

This paper cites A Survey on Data Selection for Language Models.

Advancing AI-assisted Hardware Design with Hierarchical Decentralized Training and Personalized Inference-Time Optimization A Survey on Data Selection for Language Models

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-16T11:35:29.813407Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 931661b8-da94-49a2-81c9-b47dbdf5d873 · outbound

This paper cites Medusa: Simple LLM Inference Acceleration Framework with Multiple Decoding Heads.

Advancing AI-assisted Hardware Design with Hierarchical Decentralized Training and Personalized Inference-Time Optimization Medusa: Simple LLM Inference Acceleration Framework with Multiple Decoding Heads

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-16T11:35:29.818732Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0aa4166d-e3e6-4b63-bc49-4f911739d0ee · outbound

This paper cites Enhancing llm-based quantum code generation with multi- agent optimization and quantum error correction.

Advancing AI-assisted Hardware Design with Hierarchical Decentralized Training and Personalized Inference-Time Optimization Enhancing llm-based quantum code generation with multi- agent optimization and quantum error correction

Reference 4

Resolution: metadata mismatch; raw_fallback, observed 2026-08-16T11:35:30.737035Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation a0046448-8b90-4f86-b47d-0ed5cab57f46 · outbound

This paper cites Chipgpt: How far are we from natural language hardware design.

Advancing AI-assisted Hardware Design with Hierarchical Decentralized Training and Personalized Inference-Time Optimization Chipgpt: How far are we from natural language hardware design

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-16T11:35:29.829533Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 17481ecf-0319-4c24-a23c-6f0f64b261d0 · outbound

This paper cites Hardware-aware parallel prompt decoding for memory-efficient acceleration of llm inference.

Advancing AI-assisted Hardware Design with Hierarchical Decentralized Training and Personalized Inference-Time Optimization Hardware-aware parallel prompt decoding for memory-efficient acceleration of llm inference

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-16T11:35:29.834587Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 754748ae-428f-4be0-bdb5-3a2e0e8855cc · outbound

This paper cites Fw-merging: Scaling model merging with frank-wolfe optimization.

Advancing AI-assisted Hardware Design with Hierarchical Decentralized Training and Personalized Inference-Time Optimization Fw-merging: Scaling model merging with frank-wolfe optimization

Reference 7

Resolution: verified exact; raw_fallback, observed 2026-08-16T11:35:30.539368Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 81399032-6fdb-4ce0-98e0-2027b36b27e2 · outbound

This paper cites Evaluating Large Language Models Trained on Code.

Advancing AI-assisted Hardware Design with Hierarchical Decentralized Training and Personalized Inference-Time Optimization Evaluating Large Language Models Trained on Code

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-16T11:35:29.844683Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ed96634d-de44-4db7-a0c8-e5df41bb408b · outbound

This paper cites Qiskit Code Assistant: Training LLMs for generating Quantum Computing Code.

Advancing AI-assisted Hardware Design with Hierarchical Decentralized Training and Personalized Inference-Time Optimization Qiskit Code Assistant: Training LLMs for generating Quantum Computing Code

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-16T11:35:29.849381Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e1e57dbe-7eb4-441b-88f4-9943cb5eafd7 · outbound

This paper cites What’s in my big data? In The Twelfth International Conference on Learning Representations , 2024.

Advancing AI-assisted Hardware Design with Hierarchical Decentralized Training and Personalized Inference-Time Optimization What’s in my big data? In The Twelfth International Conference on Learning Representations , 2024

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:35:31.117226Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 4ac98b8a-eaba-4a6a-bfb2-4d603adcdac8 · outbound

This paper cites Llm4sechw: Leveraging domain-specific large language model for hardware debugging.

Advancing AI-assisted Hardware Design with Hierarchical Decentralized Training and Personalized Inference-Time Optimization Llm4sechw: Leveraging domain-specific large language model for hardware debugging

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:35:31.102934Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation aeb0c363-fbeb-477a-acee-96a1fa0b966a · outbound

This paper cites Exploring code language models for automated hls-based hardware generation: Benchmark, infrastructure and analysis.

Advancing AI-assisted Hardware Design with Hierarchical Decentralized Training and Personalized Inference-Time Optimization Exploring code language models for automated hls-based hardware generation: Benchmark, infrastructure and analysis

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:35:31.087167Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation c211c470-801f-4d8b-9150-5f919e6dbd1f · outbound

This paper cites Federated Learning as a Service for Hierarchical Edge Networks with Heterogeneous Models.

Advancing AI-assisted Hardware Design with Hierarchical Decentralized Training and Personalized Inference-Time Optimization Federated Learning as a Service for Hierarchical Edge Networks with Heterogeneous Models

Reference 13

Resolution: verified exact; local_arxiv, observed 2026-08-16T11:35:30.433831Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 7bbd87a2-9bd3-4ee3-985b-6d2e8dac102d · outbound

This paper cites Flight: A FaaS-Based Framework for Complex and Hierarchical Federated Learning.

Advancing AI-assisted Hardware Design with Hierarchical Decentralized Training and Personalized Inference-Time Optimization Flight: A FaaS-Based Framework for Complex and Hierarchical Federated Learning

Reference 14

Resolution: verified exact; local_arxiv, observed 2026-08-16T11:35:30.410936Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation f9264b3f-dbfc-400a-95b6-df1088934554 · outbound

This paper cites Editing Models with Task Arithmetic.

Advancing AI-assisted Hardware Design with Hierarchical Decentralized Training and Personalized Inference-Time Optimization Editing Models with Task Arithmetic

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-16T11:35:29.877196Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2a153a75-ab4f-4a8c-af28-39ce8d2ff645 · outbound

This paper cites A Survey on Large Language Models for Code Generation.

Advancing AI-assisted Hardware Design with Hierarchical Decentralized Training and Personalized Inference-Time Optimization A Survey on Large Language Models for Code Generation

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-16T11:35:29.881280Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1764d82e-8adf-4b69-b115-dcd54920887e · outbound

This paper cites From LLMs to LLM-based Agents for Software Engineering: A Survey of Current, Challenges and Future.

Advancing AI-assisted Hardware Design with Hierarchical Decentralized Training and Personalized Inference-Time Optimization From LLMs to LLM-based Agents for Software Engineering: A Survey of Current, Challenges and Future

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-16T11:35:29.885459Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 94da6ea8-1418-44ca-b17e-a17d94cff128 · outbound

This paper cites Advances and open problems in federated learning.

Advancing AI-assisted Hardware Design with Hierarchical Decentralized Training and Personalized Inference-Time Optimization Advances and open problems in federated learning

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:35:31.071185Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation bbfd0579-42c8-4878-8fca-0c7495cd4934 · outbound

This paper cites Survey of personalization techniques for federated learning.

Advancing AI-assisted Hardware Design with Hierarchical Decentralized Training and Personalized Inference-Time Optimization Survey of personalization techniques for federated learning

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:35:31.053703Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation d235a81c-d72e-4a15-b009-2dd0044bdecb · outbound

This paper cites Datainf: Efficiently estimating data influence in loRA-tuned LLMs and diffusion models.

Advancing AI-assisted Hardware Design with Hierarchical Decentralized Training and Personalized Inference-Time Optimization Datainf: Efficiently estimating data influence in loRA-tuned LLMs and diffusion models

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:35:31.038332Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation ddd25b4f-2521-4c2a-a988-014daf6ac101 · outbound

This paper cites Fedl2p: Federated learning to personalize.

Advancing AI-assisted Hardware Design with Hierarchical Decentralized Training and Personalized Inference-Time Optimization Fedl2p: Federated learning to personalize

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:35:31.023078Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 5c2a4f01-1cb0-44f5-9996-19d52fe37a9b · outbound

This paper cites Federated learning on non-iid data silos: An exper- imental study.

Advancing AI-assisted Hardware Design with Hierarchical Decentralized Training and Personalized Inference-Time Optimization Federated learning on non-iid data silos: An exper- imental study

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:35:31.007179Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation b1cf2a4f-335f-4038-9ac8-62da1142222b · outbound

This paper cites EAGLE: Speculative Sampling Requires Rethinking Feature Uncertainty.

Advancing AI-assisted Hardware Design with Hierarchical Decentralized Training and Personalized Inference-Time Optimization EAGLE: Speculative Sampling Requires Rethinking Feature Uncertainty

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-16T11:35:29.912427Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d21231c3-bd80-43dc-8955-7b955938d0a9 · outbound

This paper cites Think Locally, Act Globally: Federated Learning with Local and Global Representations.

Advancing AI-assisted Hardware Design with Hierarchical Decentralized Training and Personalized Inference-Time Optimization Think Locally, Act Globally: Federated Learning with Local and Global Representations

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-16T11:35:29.917269Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 20ee1fc6-e263-497f-8dda-8ab8e6fcf7d7 · outbound

This paper cites Are LLMs Any Good for High-Level Synthesis?.

Advancing AI-assisted Hardware Design with Hierarchical Decentralized Training and Personalized Inference-Time Optimization Are LLMs Any Good for High-Level Synthesis?

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-16T11:35:29.921798Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2e51fa1f-152c-4046-af46-04b652b2e7ec · outbound

This paper cites Let's Verify Step by Step.

Advancing AI-assisted Hardware Design with Hierarchical Decentralized Training and Personalized Inference-Time Optimization Let's Verify Step by Step

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-16T11:35:29.926519Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f72b3376-b7f9-4c42-9868-8c501e7a7dba · outbound

This paper cites Verilogeval: Evaluating large language models for verilog code generation.

Advancing AI-assisted Hardware Design with Hierarchical Decentralized Training and Personalized Inference-Time Optimization Verilogeval: Evaluating large language models for verilog code generation

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:35:30.991406Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation af499ca1-2021-417b-80c6-773efbb5b5e9 · outbound

This paper cites Rtlcoder: Outperforming gpt-3.5 in design rtl generation with our open-source dataset and lightweight solution.

Advancing AI-assisted Hardware Design with Hierarchical Decentralized Training and Personalized Inference-Time Optimization Rtlcoder: Outperforming gpt-3.5 in design rtl generation with our open-source dataset and lightweight solution

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:35:30.976035Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 8ffa25fb-4451-49ed-83e3-29f297e86509 · outbound

This paper cites Starcoder 2 and the stack v2: The next generation, 2024.

Advancing AI-assisted Hardware Design with Hierarchical Decentralized Training and Personalized Inference-Time Optimization Starcoder 2 and the stack v2: The next generation, 2024

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:35:30.960390Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 0563f87b-915e-48a0-97a2-55c97fb0b490 · outbound

This paper cites Rtllm: An open-source benchmark for design rtl generation with large language model.

Advancing AI-assisted Hardware Design with Hierarchical Decentralized Training and Personalized Inference-Time Optimization Rtllm: An open-source benchmark for design rtl generation with large language model

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:35:30.946523Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation f1442d70-2425-4391-8db0-b3cf649b9042 · outbound

This paper cites Communication-efficient learning of deep networks from decentralized data.

Advancing AI-assisted Hardware Design with Hierarchical Decentralized Training and Personalized Inference-Time Optimization Communication-efficient learning of deep networks from decentralized data

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:35:30.931258Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 6b97bc17-28b7-4861-bf0a-700af5a4fbd5 · outbound

This paper cites SpecInfer: Accelerating Large Language Model Serving with Tree-based Speculative Inference and Verification.

Advancing AI-assisted Hardware Design with Hierarchical Decentralized Training and Personalized Inference-Time Optimization SpecInfer: Accelerating Large Language Model Serving with Tree-based Speculative Inference and Verification

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:35:30.915064Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 9fda5fdc-9e33-4313-a623-3baf1ff1ba30 · outbound

This paper cites Soft Merging of Experts with Adaptive Routing.

Advancing AI-assisted Hardware Design with Hierarchical Decentralized Training and Personalized Inference-Time Optimization Soft Merging of Experts with Adaptive Routing

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-16T11:35:29.958158Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 776c3132-9bee-499b-8166-df3012e3b0fc · outbound

This paper cites Federated learning for internet of things: A comprehensive survey.

Advancing AI-assisted Hardware Design with Hierarchical Decentralized Training and Personalized Inference-Time Optimization Federated learning for internet of things: A comprehensive survey

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:35:30.899018Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation f0059e2b-a5a3-455d-a1a4-60bde8edda94 · outbound

This paper cites Model aggregation techniques in federated learning: A comprehensive survey.

Advancing AI-assisted Hardware Design with Hierarchical Decentralized Training and Personalized Inference-Time Optimization Model aggregation techniques in federated learning: A comprehensive survey

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:35:30.882898Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 5d3b62c0-42c8-4bfa-8d8b-25f5097fdd7e · outbound

This paper cites Recursive Introspection: Teaching Language Model Agents How to Self-Improve.

Advancing AI-assisted Hardware Design with Hierarchical Decentralized Training and Personalized Inference-Time Optimization Recursive Introspection: Teaching Language Model Agents How to Self-Improve

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-16T11:35:29.971600Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 94dbf0c9-6174-4bea-831d-50e2a3ed12eb · outbound

This paper cites Code Llama: Open Foundation Models for Code.

Advancing AI-assisted Hardware Design with Hierarchical Decentralized Training and Personalized Inference-Time Optimization Code Llama: Open Foundation Models for Code

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-16T11:35:29.976339Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6b6ee2cc-f1df-42fe-9880-68949cb6e564 · outbound

This paper cites Privacy-preserving deep learning.

Advancing AI-assisted Hardware Design with Hierarchical Decentralized Training and Personalized Inference-Time Optimization Privacy-preserving deep learning

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:35:30.866270Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 5104eefe-892e-40bf-8155-2e7329862bd3 · outbound

This paper cites Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters.

Advancing AI-assisted Hardware Design with Hierarchical Decentralized Training and Personalized Inference-Time Optimization Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-16T11:35:29.985525Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 37021411-def7-4579-a2c5-70cc4da028ff · outbound

This paper cites Personalized federated learning with moreau en- velopes.

Advancing AI-assisted Hardware Design with Hierarchical Decentralized Training and Personalized Inference-Time Optimization Personalized federated learning with moreau en- velopes

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:35:30.848862Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 64016df1-9a45-432e-945e-47c14431ec4e · outbound

This paper cites Verigen: A large language model for verilog code generation.

Advancing AI-assisted Hardware Design with Hierarchical Decentralized Training and Personalized Inference-Time Optimization Verigen: A large language model for verilog code generation

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:35:30.832556Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation c940d510-aa31-43cf-9d27-7c4ca626d1f2 · outbound

This paper cites RTLFixer: Automatically Fixing RTL Syntax Errors with Large Language Models.

Advancing AI-assisted Hardware Design with Hierarchical Decentralized Training and Personalized Inference-Time Optimization RTLFixer: Automatically Fixing RTL Syntax Errors with Large Language Models

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-16T11:35:29.998629Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d80cb6c3-c15d-4ef4-aeea-50553e4be711 · outbound

This paper cites HuggingFace's Transformers: State-of-the-art Natural Language Processing.

Advancing AI-assisted Hardware Design with Hierarchical Decentralized Training and Personalized Inference-Time Optimization HuggingFace's Transformers: State-of-the-art Natural Language Processing

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-16T11:35:30.003361Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b0c64585-05a9-4620-bae5-767ac4f342d6 · outbound

This paper cites HLSPilot: LLM-based High-Level Synthesis.

Advancing AI-assisted Hardware Design with Hierarchical Decentralized Training and Personalized Inference-Time Optimization HLSPilot: LLM-based High-Level Synthesis

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-16T11:35:30.007876Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cfeac852-287e-4b9c-a191-bd00a71fa572 · outbound

This paper cites Optimizing high-level synthesis designs with retrieval-augmented large language models.

Advancing AI-assisted Hardware Design with Hierarchical Decentralized Training and Personalized Inference-Time Optimization Optimizing high-level synthesis designs with retrieval-augmented large language models

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:35:30.817047Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 0dd3dafb-7a71-4900-a758-356d19fe2cf6 · outbound

This paper cites Assertllm: Generating and evaluating hardware verification assertions from design specifications via multi-llms.

Advancing AI-assisted Hardware Design with Hierarchical Decentralized Training and Personalized Inference-Time Optimization Assertllm: Generating and evaluating hardware verification assertions from design specifications via multi-llms

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-16T11:35:30.016338Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e2270527-485d-47b8-8635-f875130939d7 · outbound

This paper cites Model Merging in LLMs, MLLMs, and Beyond: Methods, Theories, Applications and Opportunities.

Advancing AI-assisted Hardware Design with Hierarchical Decentralized Training and Personalized Inference-Time Optimization Model Merging in LLMs, MLLMs, and Beyond: Methods, Theories, Applications and Opportunities

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-16T11:35:30.020568Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a89fd97e-5c25-4274-a5bc-ca4e806254c9 · outbound

This paper cites Heterogeneous federated learning: State-of-the-art and research challenges.

Advancing AI-assisted Hardware Design with Hierarchical Decentralized Training and Personalized Inference-Time Optimization Heterogeneous federated learning: State-of-the-art and research challenges

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:35:30.801152Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation fab4f0f9-72e6-492d-9a7a-435773d88c8e · outbound

This paper cites Language models are super mario: Absorbing abilities from homologous models as a free lunch.

Advancing AI-assisted Hardware Design with Hierarchical Decentralized Training and Personalized Inference-Time Optimization Language models are super mario: Absorbing abilities from homologous models as a free lunch

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:35:30.785414Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 7911f2e3-d599-409b-8c63-b65d1ced2927 · outbound

This paper cites Knowledge Composition using Task Vectors with Learned Anisotropic Scaling.

Advancing AI-assisted Hardware Design with Hierarchical Decentralized Training and Personalized Inference-Time Optimization Knowledge Composition using Task Vectors with Learned Anisotropic Scaling

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-16T11:35:30.033146Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Coverage vector

Reference resolution

Outbound references

Pith citing papers