Paper Citation Record · LEDGER

RF-Agent: A Practical Framework for Building Language Agents for RFIC Design

As of 9 August 2026, this Paper Citation Record lists 46 of 46 outbound references and 0 inbound Pith citation observations for arXiv:2607.18772.

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

pith.paper-citation-record.v1
2607.18772 v1

Coverage vector

measured 46 of 46 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T14:27:16.862008Z

measured 46 of 46 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+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

46 of 46 outbound references displayed

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verified fuzzy0
unresolved46
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malformed identifier0
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External citation measurements

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Outbound references

Observation e0fe3877-63ca-42bc-a110-79cdd0fd47fd · outbound

This paper cites AnalogGenie: A generative engine for automatic discovery of analog circuit topologies,.

RF-Agent: A Practical Framework for Building Language Agents for RFIC Design AnalogGenie: A generative engine for automatic discovery of analog circuit topologies,

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-01T14:27:12.700203Z

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Observation 101e26c6-fefb-4ff8-b049-146742b90ecc · outbound

This paper cites LaMAGIC: Language-model-based topology generation for analog integrated circuits,.

RF-Agent: A Practical Framework for Building Language Agents for RFIC Design LaMAGIC: Language-model-based topology generation for analog integrated circuits,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-01T14:27:12.765300Z

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Observation 06c71051-8f04-402a-94e6-c52359fe5a9d · outbound

This paper cites AnalogCoder: Analog Circuit Design via Training-Free Code Genera- tion,.

RF-Agent: A Practical Framework for Building Language Agents for RFIC Design AnalogCoder: Analog Circuit Design via Training-Free Code Genera- tion,

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-01T14:27:12.857093Z

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Observation d76b350e-030a-4bd2-b17e-804b7fa151ea · outbound

This paper cites AnalogXpert: Automating Analog Topology Synthesis by Incorporating Circuit Design Expertise into Large Language Models,.

RF-Agent: A Practical Framework for Building Language Agents for RFIC Design AnalogXpert: Automating Analog Topology Synthesis by Incorporating Circuit Design Expertise into Large Language Models,

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-01T14:27:12.939807Z

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Observation e12fd259-9f60-4676-b5ef-ac0e10adc9de · outbound

This paper cites Invited Paper: Multi-Agent Generative Synthesis for Ana- log/RF Circuit: from Scalable Topology Generation to Efficient Inverse Design,.

RF-Agent: A Practical Framework for Building Language Agents for RFIC Design Invited Paper: Multi-Agent Generative Synthesis for Ana- log/RF Circuit: from Scalable Topology Generation to Efficient Inverse Design,

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-01T14:27:12.993589Z

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Observation acd54920-a510-41c5-a904-63f8e6a7817c · outbound

This paper cites ADO-LLM: Analog Design Bayesian Optimization with In-Context Learning of Large Language Models,.

RF-Agent: A Practical Framework for Building Language Agents for RFIC Design ADO-LLM: Analog Design Bayesian Optimization with In-Context Learning of Large Language Models,

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-01T14:27:13.048025Z

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Observation 0586f473-cb1e-4221-920b-2d1d6dcb373b · outbound

This paper cites LEDRO: LLM-Enhanced Design Space Reduction and Optimization for Analog Circuits,.

RF-Agent: A Practical Framework for Building Language Agents for RFIC Design LEDRO: LLM-Enhanced Design Space Reduction and Optimization for Analog Circuits,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-01T14:27:13.102658Z

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Observation 83e16f68-0722-4e47-8340-dc4685095eae · outbound

This paper cites A Large Language Model-based Multi-Agent Framework for Analog Circuits’ Sizing Relationships Extraction,.

RF-Agent: A Practical Framework for Building Language Agents for RFIC Design A Large Language Model-based Multi-Agent Framework for Analog Circuits’ Sizing Relationships Extraction,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-01T14:27:13.194849Z

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Observation 89707405-678a-49c2-96e0-b3bd6fdc2394 · outbound

This paper cites TopoSizing: An LLM-aided framework of topology-based understanding and sizing for AMS circuits,.

RF-Agent: A Practical Framework for Building Language Agents for RFIC Design TopoSizing: An LLM-aided framework of topology-based understanding and sizing for AMS circuits,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-01T14:27:13.274527Z

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Observation 4d2cd886-9d7c-4d06-ad1d-83f2593aff0c · outbound

This paper cites RTLCoder: Fully Open-Source and Efficient LLM-Assisted RTL Code Generation Technique,.

RF-Agent: A Practical Framework for Building Language Agents for RFIC Design RTLCoder: Fully Open-Source and Efficient LLM-Assisted RTL Code Generation Technique,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-01T14:27:13.340259Z

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Observation 6cb3a344-4b59-4c7d-9e4c-1bdaeefdc36d · outbound

This paper cites VeriGen: A Large Language Model for Verilog Code Generation,.

RF-Agent: A Practical Framework for Building Language Agents for RFIC Design VeriGen: A Large Language Model for Verilog Code Generation,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-01T14:27:13.358947Z

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Observation 13c02990-6943-4398-8a6e-a921cb4ec70a · outbound

This paper cites ChipNeMo: Domain-Adapted LLMs for Chip Design.

RF-Agent: A Practical Framework for Building Language Agents for RFIC Design ChipNeMo: Domain-Adapted LLMs for Chip Design

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-01T14:27:13.511460Z

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Observation a5429b7e-56c7-45c8-ab39-e893aafcbdc8 · outbound

This paper cites Analog Design Experiments With AI—Part 1 [The Analog Mind],.

RF-Agent: A Practical Framework for Building Language Agents for RFIC Design Analog Design Experiments With AI—Part 1 [The Analog Mind],

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-01T14:27:13.595829Z

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Observation 9a0f6e87-f42a-4f93-9b71-0524aae200a9 · outbound

This paper cites Analog Design Experiments With AI—Part 2 [The Analog Mind],.

RF-Agent: A Practical Framework for Building Language Agents for RFIC Design Analog Design Experiments With AI—Part 2 [The Analog Mind],

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-01T14:27:13.679864Z

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Observation 9e6bc6c1-ed3d-44f9-b7e7-ebfd533f3e01 · outbound

This paper cites Invited Paper: Verilo- gEval: Evaluating Large Language Models for Verilog Code Genera- tion,.

RF-Agent: A Practical Framework for Building Language Agents for RFIC Design Invited Paper: Verilo- gEval: Evaluating Large Language Models for Verilog Code Genera- tion,

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-01T14:27:13.756257Z

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Observation b9f8e946-4995-4764-b8f3-eec66b4ac758 · outbound

This paper cites AmpAgent: An LLM-based Multi-Agent System for Multi-stage Amplifier Schematic Design from Literature for Process and Performance Porting.

RF-Agent: A Practical Framework for Building Language Agents for RFIC Design AmpAgent: An LLM-based Multi-Agent System for Multi-stage Amplifier Schematic Design from Literature for Process and Performance Porting

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-01T14:27:13.844138Z

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Observation 4b71edbf-98eb-45a7-8385-5d48e3d8fd73 · outbound

This paper cites Ask-EDA: A Design Assistant Empowered by LLM, Hybrid RAG and Abbreviation De-hallucination,.

RF-Agent: A Practical Framework for Building Language Agents for RFIC Design Ask-EDA: A Design Assistant Empowered by LLM, Hybrid RAG and Abbreviation De-hallucination,

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-01T14:27:13.968735Z

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Observation e73695e6-4bb3-48c9-a378-51962cd5a848 · outbound

This paper cites MuaLLM: A Multimodal Large Language Model Agent for Circuit Design Assistance with Hybrid Contextual Retrieval-Augmented Generation,.

RF-Agent: A Practical Framework for Building Language Agents for RFIC Design MuaLLM: A Multimodal Large Language Model Agent for Circuit Design Assistance with Hybrid Contextual Retrieval-Augmented Generation,

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-01T14:27:14.051575Z

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Observation 9d59aac9-5308-4db5-8ede-aa969abd87d8 · outbound

This paper cites Dataset Construction for Training LLM to Learn Analog Circuit Knowledge.

RF-Agent: A Practical Framework for Building Language Agents for RFIC Design Dataset Construction for Training LLM to Learn Analog Circuit Knowledge

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-01T14:27:14.130541Z

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Observation 75c808cd-fcd3-4748-9041-a2dfbcf496a0 · outbound

This paper cites Improving LLM- Powered EDA Assistants with RAFT,.

RF-Agent: A Practical Framework for Building Language Agents for RFIC Design Improving LLM- Powered EDA Assistants with RAFT,

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-01T14:27:14.260094Z

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Observation b94e32fb-e558-4082-9fa8-99579e529c58 · outbound

This paper cites AMSnet-KG: A Netlist Dataset for LLM-based AMS Circuit Auto-design Using Knowledge Graph RAG,.

RF-Agent: A Practical Framework for Building Language Agents for RFIC Design AMSnet-KG: A Netlist Dataset for LLM-based AMS Circuit Auto-design Using Knowledge Graph RAG,

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-01T14:27:14.403220Z

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Observation 18e08b6b-0cb6-4c60-9214-fee0c23301df · outbound

This paper cites A 24- to-29GHz Compact Transmit/Receive Front-End Module Featuring an Asymmetric Doherty Power Amplifier and 0.22mm2 Area,.

RF-Agent: A Practical Framework for Building Language Agents for RFIC Design A 24- to-29GHz Compact Transmit/Receive Front-End Module Featuring an Asymmetric Doherty Power Amplifier and 0.22mm2 Area,

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-01T14:27:14.502715Z

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Observation e9ae20d0-5eb3-4c66-b6c0-5fcb79c79861 · outbound

This paper cites A 28GHz Frequency-Diverse Sub-Array TX with Secret Phase Keys and Antenna Subset Modulation for Eavesdropping-Resilient Wireless Communi- cation,.

RF-Agent: A Practical Framework for Building Language Agents for RFIC Design A 28GHz Frequency-Diverse Sub-Array TX with Secret Phase Keys and Antenna Subset Modulation for Eavesdropping-Resilient Wireless Communi- cation,

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-01T14:27:14.647858Z

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Observation 30f7dde5-4d01-4b48-bc9e-78b1fa73f357 · outbound

This paper cites A Packaged D-Band Transmit- ter with a Multifeed Lens Antenna Achieving 25.3dBm Single-Element EIRP for 2-D Scalable Arrays,.

RF-Agent: A Practical Framework for Building Language Agents for RFIC Design A Packaged D-Band Transmit- ter with a Multifeed Lens Antenna Achieving 25.3dBm Single-Element EIRP for 2-D Scalable Arrays,

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-01T14:27:14.863493Z

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Observation e947eb0a-b552-41d5-a277-fe7f9150028e · outbound

This paper cites A Millimeter-Wave Four-Way Doherty Power Amplifier With Over-GHz Modulation Bandwidth,.

RF-Agent: A Practical Framework for Building Language Agents for RFIC Design A Millimeter-Wave Four-Way Doherty Power Amplifier With Over-GHz Modulation Bandwidth,

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-01T14:27:15.009299Z

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Observation c0875188-07e7-4361-882b-b16e7e0c1a36 · outbound

This paper cites A 9.05-to-37.0GHz LO Generator with Magnetic Mode Switching and Tuning-Free Octave-Bandwidth Common-Mode Resonator Achieving>190.7dBc/Hz FoM,.

RF-Agent: A Practical Framework for Building Language Agents for RFIC Design A 9.05-to-37.0GHz LO Generator with Magnetic Mode Switching and Tuning-Free Octave-Bandwidth Common-Mode Resonator Achieving>190.7dBc/Hz FoM,

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-01T14:27:15.150852Z

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Observation 681bb340-c8cf-4c6d-8981-102a95c40dce · outbound

This paper cites Pushing the Performance Boundaries of MmWave and Sub-THz Transceiver Circuits Through Passive Network Design Innovations,.

RF-Agent: A Practical Framework for Building Language Agents for RFIC Design Pushing the Performance Boundaries of MmWave and Sub-THz Transceiver Circuits Through Passive Network Design Innovations,

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-01T14:27:15.236272Z

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Observation e5365bb7-cc81-4e56-9604-8ac9d00c5eba · outbound

This paper cites AI-Assisted Data-Driven RFIC Designs: A Review of Recent Progress, Design Frameworks, and Challenges,.

RF-Agent: A Practical Framework for Building Language Agents for RFIC Design AI-Assisted Data-Driven RFIC Designs: A Review of Recent Progress, Design Frameworks, and Challenges,

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-01T14:27:15.311076Z

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Observation 1a3ee57a-ffb6-4e25-8f87-082c624199bf · outbound

This paper cites Deep-Learning Enabled Generalized Inverse Design of Multi-Port Radio-Frequency and Sub-Terahertz Passives and Integrated Circuits,.

RF-Agent: A Practical Framework for Building Language Agents for RFIC Design Deep-Learning Enabled Generalized Inverse Design of Multi-Port Radio-Frequency and Sub-Terahertz Passives and Integrated Circuits,

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-01T14:27:15.403641Z

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Observation 3f946219-2d22-47a2-97b6-c3f9918bd0eb · outbound

This paper cites ML-Assisted RF IC Design Enablement: the New Frontier of AI for EDA,.

RF-Agent: A Practical Framework for Building Language Agents for RFIC Design ML-Assisted RF IC Design Enablement: the New Frontier of AI for EDA,

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-01T14:27:15.524610Z

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Observation 33b94af4-7849-4cfb-9014-72ed36be8e13 · outbound

This paper cites MOTIF-RF: Multi-template On-chip Transformer Synthesis Incorporating Frequency- domain Self-transfer Learning for RFIC Design Automation,.

RF-Agent: A Practical Framework for Building Language Agents for RFIC Design MOTIF-RF: Multi-template On-chip Transformer Synthesis Incorporating Frequency- domain Self-transfer Learning for RFIC Design Automation,

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-01T14:27:15.594134Z

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Observation a8e4b1df-291a-4c6a-adf3-2f6fd7757ccf · outbound

This paper cites AdreamDCO: AI- Driven Robust and Efficient Design Automation for Digitally Controlled Oscillators,.

RF-Agent: A Practical Framework for Building Language Agents for RFIC Design AdreamDCO: AI- Driven Robust and Efficient Design Automation for Digitally Controlled Oscillators,

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-01T14:27:15.651312Z

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Observation 5b6332fd-e1f9-471e-a93d-b00fc3a4339c · outbound

This paper cites Invited Paper: Towards Generative AI for Analog and RF IC Design: From Spec to Layout,.

RF-Agent: A Practical Framework for Building Language Agents for RFIC Design Invited Paper: Towards Generative AI for Analog and RF IC Design: From Spec to Layout,

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-01T14:27:15.753333Z

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Observation decc043c-3a55-4afb-aff1-6042bfa34109 · outbound

This paper cites Large Language Models are Reasoning Teachers,.

RF-Agent: A Practical Framework for Building Language Agents for RFIC Design Large Language Models are Reasoning Teachers,

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-01T14:27:15.836086Z

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Observation 3c4176bc-9a10-4b41-891f-00fad5273553 · outbound

This paper cites Keypoint-based Progressive Chain-of-Thought Distillation for LLMs,.

RF-Agent: A Practical Framework for Building Language Agents for RFIC Design Keypoint-based Progressive Chain-of-Thought Distillation for LLMs,

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-01T14:27:15.885788Z

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Observation b87d25d4-43c3-42cc-8045-97ed74d5df5b · outbound

This paper cites AMSBench: A comprehensive benchmark for evaluating MLLM capabilities in AMS circuits,.

RF-Agent: A Practical Framework for Building Language Agents for RFIC Design AMSBench: A comprehensive benchmark for evaluating MLLM capabilities in AMS circuits,

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-01T14:27:16.100580Z

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Observation ef240a48-e921-4d3c-9b4e-1e8d37dfd2b1 · outbound

This paper cites MMCircuitEval: A Comprehensive Multimodal Circuit-Focused Benchmark for Evaluat- ing LLMs,.

RF-Agent: A Practical Framework for Building Language Agents for RFIC Design MMCircuitEval: A Comprehensive Multimodal Circuit-Focused Benchmark for Evaluat- ing LLMs,

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-01T14:27:16.233970Z

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Observation ac0006d9-6404-41a1-aa3c-88c3b128c0e2 · outbound

This paper cites Textbooks Are All You Need.

RF-Agent: A Practical Framework for Building Language Agents for RFIC Design Textbooks Are All You Need

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-01T14:27:16.313118Z

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Unavailable: canonical work link unavailable.

Observation 3aa9242a-e6c9-42d3-aabb-48a55da7085d · outbound

This paper cites The Llama 3 Herd of Models.

RF-Agent: A Practical Framework for Building Language Agents for RFIC Design The Llama 3 Herd of Models

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-01T14:27:16.372336Z

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Observation 321b2532-43db-4f6d-a167-d2c1b0b922d8 · outbound

This paper cites Qwen3 Technical Report.

RF-Agent: A Practical Framework for Building Language Agents for RFIC Design Qwen3 Technical Report

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-01T14:27:16.432167Z

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Observation 047c1cee-5ece-4095-9994-1e60f902196c · outbound

This paper cites M3- Embedding: Multi-Linguality, Multi-Functionality, Multi-Granularity Text Embeddings Through Self-Knowledge Distillation,.

RF-Agent: A Practical Framework for Building Language Agents for RFIC Design M3- Embedding: Multi-Linguality, Multi-Functionality, Multi-Granularity Text Embeddings Through Self-Knowledge Distillation,

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-01T14:27:16.526934Z

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Observation 9c0bdc81-4071-40db-9cc6-3ed1b4ea2c01 · outbound

This paper cites MenTeR: A fully-automated Multi-agenT workflow for end-to-end RF/Analog Circuits Netlist Design,.

RF-Agent: A Practical Framework for Building Language Agents for RFIC Design MenTeR: A fully-automated Multi-agenT workflow for end-to-end RF/Analog Circuits Netlist Design,

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-01T14:27:16.575999Z

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Observation 51ff14ee-d355-446f-99b3-feda7a4fd6ce · outbound

This paper cites Okapi at TREC-3,.

RF-Agent: A Practical Framework for Building Language Agents for RFIC Design Okapi at TREC-3,

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-01T14:27:16.653229Z

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Observation 954d5f55-cd7f-469e-a485-77d4bd95a28c · outbound

This paper cites Reciprocal rank fusion outperforms Condorcet and individual rank learning methods,.

RF-Agent: A Practical Framework for Building Language Agents for RFIC Design Reciprocal rank fusion outperforms Condorcet and individual rank learning methods,

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-01T14:27:16.723480Z

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Observation 38ff1bf3-8804-428f-8e1d-e74ef4c246fb · outbound

This paper cites Training Compute-Optimal Large Language Models.

RF-Agent: A Practical Framework for Building Language Agents for RFIC Design Training Compute-Optimal Large Language Models

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-01T14:27:16.862008Z

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Observation 604a44f6-c793-43c5-9e51-1a6fc0e30f02 · outbound

This paper cites 13 241–13 255.

RF-Agent: A Practical Framework for Building Language Agents for RFIC Design 13 241–13 255

Reference 235

Resolution: unresolved; no resolver link, observed 2026-08-01T14:27:15.972680Z

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Pith citing papers

No inbound Pith citation observations are available.