Paper Citation Record · LEDGER

ORACLE: A Multi-Objective Reinforcement Learning-Based Analog Circuit Design Optimizer with Large Language Models-Guided Exploration

As of 22 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 1 inbound Pith citation observation for arXiv:2608.04999.

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

pith.paper-citation-record.v1
2608.04999 v1

Coverage vector

measured 38 of 38 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T11:56:30.520761Z

measured 39 of 39 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T10:19:28.608700Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-08-14T10:19:28.909720Z

Reference resolution

38 of 38 outbound references displayed

verified exact1
verified fuzzy34
unresolved3
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 17b0c669-e26d-4cc3-a12c-b5e3c62c26f9 · outbound

This paper cites Applications of Artificial Intelligence on the Modeling and Optimization for Analog and Mixed-Signal Circuits: A Review,.

ORACLE: A Multi-Objective Reinforcement Learning-Based Analog Circuit Design Optimizer with Large Language Models-Guided Exploration Applications of Artificial Intelligence on the Modeling and Optimization for Analog and Mixed-Signal Circuits: A Review,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:56:31.119050Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation d16a572e-23f2-4392-a1dd-3d5982c68c94 · outbound

This paper cites Analog Design and Machine Learning: A Review,.

ORACLE: A Multi-Objective Reinforcement Learning-Based Analog Circuit Design Optimizer with Large Language Models-Guided Exploration Analog Design and Machine Learning: A Review,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:56:31.103659Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation bf0b8ad7-54d6-49d8-ab7d-c2b0e6045bb9 · outbound

This paper cites AnGeL: Fully- Automated Analog Circuit Generator Using a Neural Network Assisted Semi-Supervised Learning Approach,.

ORACLE: A Multi-Objective Reinforcement Learning-Based Analog Circuit Design Optimizer with Large Language Models-Guided Exploration AnGeL: Fully- Automated Analog Circuit Generator Using a Neural Network Assisted Semi-Supervised Learning Approach,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:56:31.088038Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation f718fa92-34d3-4081-b50f-6dfde69a3faa · outbound

This paper cites Analog Circuit Sizing Based on Evolutionary Algo- rithms and Deep Learning,.

ORACLE: A Multi-Objective Reinforcement Learning-Based Analog Circuit Design Optimizer with Large Language Models-Guided Exploration Analog Circuit Sizing Based on Evolutionary Algo- rithms and Deep Learning,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:56:31.071665Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 432efc49-fa62-4cc8-a9fa-1ddf9b16de5b · outbound

This paper cites FASCINET: A Fully Automated Single-Board Computer Generator Using Neural Networks,.

ORACLE: A Multi-Objective Reinforcement Learning-Based Analog Circuit Design Optimizer with Large Language Models-Guided Exploration FASCINET: A Fully Automated Single-Board Computer Generator Using Neural Networks,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:56:31.055257Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 179e4994-b5ef-4b38-8d32-549d61588b9d · outbound

This paper cites Deep Reinforcement Learning for Analog Circuit Sizing with an Electrical De- sign Space and Sparse Rewards,.

ORACLE: A Multi-Objective Reinforcement Learning-Based Analog Circuit Design Optimizer with Large Language Models-Guided Exploration Deep Reinforcement Learning for Analog Circuit Sizing with an Electrical De- sign Space and Sparse Rewards,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:56:31.039513Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 6302ba01-c9f6-4b12-a8db-38608b759ba0 · outbound

This paper cites RoSE- Opt: Robust and Efficient Analog Circuit Parameter Optimization With Knowledge-Infused Reinforcement Learning,.

ORACLE: A Multi-Objective Reinforcement Learning-Based Analog Circuit Design Optimizer with Large Language Models-Guided Exploration RoSE- Opt: Robust and Efficient Analog Circuit Parameter Optimization With Knowledge-Infused Reinforcement Learning,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:56:31.022543Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 43483702-0dc9-4ec5-92f8-c4c99c8956ce · outbound

This paper cites Using Probabilistic Model Rollouts to Boost the Sample Efficiency of Reinforcement Learning for Auto- mated Analog Circuit Sizing,.

ORACLE: A Multi-Objective Reinforcement Learning-Based Analog Circuit Design Optimizer with Large Language Models-Guided Exploration Using Probabilistic Model Rollouts to Boost the Sample Efficiency of Reinforcement Learning for Auto- mated Analog Circuit Sizing,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:56:31.006379Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 7cbdf200-d105-4a6f-b3b6-f489c743e258 · outbound

This paper cites PPAAS: PVT and Pareto Aware Analog Sizing via Goal-conditioned Reinforcement Learning.

ORACLE: A Multi-Objective Reinforcement Learning-Based Analog Circuit Design Optimizer with Large Language Models-Guided Exploration PPAAS: PVT and Pareto Aware Analog Sizing via Goal-conditioned Reinforcement Learning

Reference 9

Resolution: verified exact; local_arxiv, observed 2026-08-06T11:56:30.562714Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 609e928f-0f57-425c-b17e-3b8e579e26fe · outbound

This paper cites A practical Guide to Multi-objective Reinforcement Learning and Planning,.

ORACLE: A Multi-Objective Reinforcement Learning-Based Analog Circuit Design Optimizer with Large Language Models-Guided Exploration A practical Guide to Multi-objective Reinforcement Learning and Planning,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:56:30.991213Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation a2518e43-cbfd-4349-b673-72cb3ae13c00 · outbound

This paper cites Somayaji NS and P.

ORACLE: A Multi-Objective Reinforcement Learning-Based Analog Circuit Design Optimizer with Large Language Models-Guided Exploration Somayaji NS and P

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:56:30.976073Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 4d3e5cfd-975e-42ae-a7b2-ac9a072c48e7 · outbound

This paper cites AutoCkt: Deep Reinforcement Learning of Analog Circuit Designs ,.

ORACLE: A Multi-Objective Reinforcement Learning-Based Analog Circuit Design Optimizer with Large Language Models-Guided Exploration AutoCkt: Deep Reinforcement Learning of Analog Circuit Designs ,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:56:30.961381Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 198c9d91-478c-40df-b6e6-0090c143a677 · outbound

This paper cites A Brief Guide to Multi-Objective Reinforcement Learning and Planning,.

ORACLE: A Multi-Objective Reinforcement Learning-Based Analog Circuit Design Optimizer with Large Language Models-Guided Exploration A Brief Guide to Multi-Objective Reinforcement Learning and Planning,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:56:30.945831Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation ca21040a-7687-4410-96d3-907c29daac5e · outbound

This paper cites PD-MORL: Preference- Driven Multi-Objective Reinforcement Learning Algorithm,.

ORACLE: A Multi-Objective Reinforcement Learning-Based Analog Circuit Design Optimizer with Large Language Models-Guided Exploration PD-MORL: Preference- Driven Multi-Objective Reinforcement Learning Algorithm,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:56:30.928877Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation fb9b6ea3-9d3f-4d25-bba2-7d9742960db7 · outbound

This paper cites an unresolved cited work.

ORACLE: A Multi-Objective Reinforcement Learning-Based Analog Circuit Design Optimizer with Large Language Models-Guided Exploration Unresolved cited work

Reference 15

Resolution: unresolved; raw_fallback, observed 2026-08-06T11:56:30.913568Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 16cd200e-4fe7-47cd-b619-211bb0d203b4 · outbound

This paper cites RoSE- Opt: Robust and Efficient Analog Circuit Parameter Optimization With Knowledge-Infused Reinforcement Learning,.

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:56:30.899168Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 39852fbc-9c70-4690-b5f2-bd26c59186bd · outbound

This paper cites Learning State-Specific Action Masks for Reinforcement Learning,.

ORACLE: A Multi-Objective Reinforcement Learning-Based Analog Circuit Design Optimizer with Large Language Models-Guided Exploration Learning State-Specific Action Masks for Reinforcement Learning,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:56:30.884577Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation c7e27dba-5c4b-484d-bbfc-7969fa8c2730 · outbound

This paper cites Robust Circuit Optimization under PVT Variations Via Weight Optimization Problem Reformulation,.

ORACLE: A Multi-Objective Reinforcement Learning-Based Analog Circuit Design Optimizer with Large Language Models-Guided Exploration Robust Circuit Optimization under PVT Variations Via Weight Optimization Problem Reformulation,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:56:30.869858Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 2bf26b6f-3716-4cb5-9dc4-e972b313ba83 · outbound

This paper cites FuNToM: Functional Modeling of RF Circuits Using a Neural Network Assisted Two-Port Analysis Method,.

ORACLE: A Multi-Objective Reinforcement Learning-Based Analog Circuit Design Optimizer with Large Language Models-Guided Exploration FuNToM: Functional Modeling of RF Circuits Using a Neural Network Assisted Two-Port Analysis Method,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:56:30.855378Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 3d876ef4-0c74-452b-b9ee-7117dd0aabe3 · outbound

This paper cites Analog Circuits Optimization Based on Evolutionary Computation Techniques,.

ORACLE: A Multi-Objective Reinforcement Learning-Based Analog Circuit Design Optimizer with Large Language Models-Guided Exploration Analog Circuits Optimization Based on Evolutionary Computation Techniques,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:56:30.841032Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 36bfbf72-3831-448f-9491-4777c6e78bce · outbound

This paper cites An Efficient Optimization– Based Technique to Generate Posynomial Performance Models for Analog Integrated Circuits,.

ORACLE: A Multi-Objective Reinforcement Learning-Based Analog Circuit Design Optimizer with Large Language Models-Guided Exploration An Efficient Optimization– Based Technique to Generate Posynomial Performance Models for Analog Integrated Circuits,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:56:30.825524Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation a06a559f-2279-4ec7-89a1-5b075303e34c · outbound

This paper cites Genetic Algorithm Software System for Analog Circuit Design,.

ORACLE: A Multi-Objective Reinforcement Learning-Based Analog Circuit Design Optimizer with Large Language Models-Guided Exploration Genetic Algorithm Software System for Analog Circuit Design,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:56:30.808929Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 05b5c23a-4f4f-4565-b101-cc0fb406b78a · outbound

This paper cites Deep Reinforcement Learning with Double Q-Learning,.

ORACLE: A Multi-Objective Reinforcement Learning-Based Analog Circuit Design Optimizer with Large Language Models-Guided Exploration Deep Reinforcement Learning with Double Q-Learning,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:56:30.794346Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation c2622e66-37e0-4eaf-a4f1-0bbfce19c979 · outbound

This paper cites Dynamic Weights in Multi-Objective Deep Reinforcement Learning,.

ORACLE: A Multi-Objective Reinforcement Learning-Based Analog Circuit Design Optimizer with Large Language Models-Guided Exploration Dynamic Weights in Multi-Objective Deep Reinforcement Learning,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:56:30.780721Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation fc01ef96-e61f-48a0-9e7e-9e6d109c2f10 · outbound

This paper cites A Generalized Al- gorithm for Multi-Objective Reinforcement Learning and Policy Adap- tation,.

ORACLE: A Multi-Objective Reinforcement Learning-Based Analog Circuit Design Optimizer with Large Language Models-Guided Exploration A Generalized Al- gorithm for Multi-Objective Reinforcement Learning and Policy Adap- tation,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:56:30.765476Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation dd8704b5-3500-4578-b08e-e882131521b5 · outbound

This paper cites Multi-Objective Reinforcement Learning Based on Decomposition: A Taxonomy and Framework,.

ORACLE: A Multi-Objective Reinforcement Learning-Based Analog Circuit Design Optimizer with Large Language Models-Guided Exploration Multi-Objective Reinforcement Learning Based on Decomposition: A Taxonomy and Framework,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:56:30.749166Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation d05901a0-c088-4b1c-bba5-29e4ef6e0184 · outbound

This paper cites Pareto Set Learning for Multi-Objective Reinforcement Learning,.

ORACLE: A Multi-Objective Reinforcement Learning-Based Analog Circuit Design Optimizer with Large Language Models-Guided Exploration Pareto Set Learning for Multi-Objective Reinforcement Learning,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:56:30.735144Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation ba084da6-dd5c-42eb-81d4-04807ccfa36a · outbound

This paper cites PA2D-MORL: Pareto Ascent Directional Decom- position Based Multi-Objective Reinforcement Learning,.

ORACLE: A Multi-Objective Reinforcement Learning-Based Analog Circuit Design Optimizer with Large Language Models-Guided Exploration PA2D-MORL: Pareto Ascent Directional Decom- position Based Multi-Objective Reinforcement Learning,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:56:30.720704Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 156f39d4-08ea-4a15-bc25-8f25f834f8b0 · outbound

This paper cites Atelier: An Automated Analog Circuit Design Framework via Multiple Large Language Model-Based Agents,.

ORACLE: A Multi-Objective Reinforcement Learning-Based Analog Circuit Design Optimizer with Large Language Models-Guided Exploration Atelier: An Automated Analog Circuit Design Framework via Multiple Large Language Model-Based Agents,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:56:30.705935Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 4c8a4bde-b6dc-4095-b3f2-c8e482ab249e · outbound

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

ORACLE: A Multi-Objective Reinforcement Learning-Based Analog Circuit Design Optimizer with Large Language Models-Guided Exploration AnalogCoder: Analog Circuit Design via Training-Free Code Generation,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:56:30.691813Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 2ec7fe5f-2bbb-45f2-8e07-13987d564d43 · outbound

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

ORACLE: A Multi-Objective Reinforcement Learning-Based Analog Circuit Design Optimizer with Large Language Models-Guided Exploration MuaLLM: A Multimodal Large Language Model Agent for Circuit Design Assistance with Hybrid Contextual Retrieval- Augmented Generation,

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-06T11:56:30.489066Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f02222ce-ecbe-435f-8e0a-13f071f10e63 · outbound

This paper cites SINA: A Circuit Schematic Image-to-Netlist Generator Using Artificial Intelligence,.

ORACLE: A Multi-Objective Reinforcement Learning-Based Analog Circuit Design Optimizer with Large Language Models-Guided Exploration SINA: A Circuit Schematic Image-to-Netlist Generator Using Artificial Intelligence,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:56:30.666841Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 67af617c-4e51-4ba7-89bf-93c6522d96d1 · outbound

This paper cites A taxonomy of Literature Reviews and Experimental Study of Deep Reinforcement Learning in Portfolio Management,.

ORACLE: A Multi-Objective Reinforcement Learning-Based Analog Circuit Design Optimizer with Large Language Models-Guided Exploration A taxonomy of Literature Reviews and Experimental Study of Deep Reinforcement Learning in Portfolio Management,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:56:30.652165Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation d4cfa4f3-9681-4c78-82c8-46a4042ca342 · outbound

This paper cites Human-level control through deep reinforcement learn- ing,.

ORACLE: A Multi-Objective Reinforcement Learning-Based Analog Circuit Design Optimizer with Large Language Models-Guided Exploration Human-level control through deep reinforcement learn- ing,

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-06T11:56:30.502733Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8c67c7c9-ed1c-416e-8cca-012713b39e5e · outbound

This paper cites Deep Reinforcement Learning with Double Q-Learning,.

ORACLE: A Multi-Objective Reinforcement Learning-Based Analog Circuit Design Optimizer with Large Language Models-Guided Exploration Deep Reinforcement Learning with Double Q-Learning,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:56:30.625756Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation a863e1f4-f156-4796-9093-3e761d3b85ed · outbound

This paper cites Mastering Diverse Control Tasks through World Models,.

ORACLE: A Multi-Objective Reinforcement Learning-Based Analog Circuit Design Optimizer with Large Language Models-Guided Exploration Mastering Diverse Control Tasks through World Models,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:56:30.609828Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 36a73a12-e9c4-4ec3-a127-0090740290a5 · outbound

This paper cites Automated Circuit Sizing with Multi-Objective Op- timization Based on Differential Evolution and Bayesian Inference,.

ORACLE: A Multi-Objective Reinforcement Learning-Based Analog Circuit Design Optimizer with Large Language Models-Guided Exploration Automated Circuit Sizing with Multi-Objective Op- timization Based on Differential Evolution and Bayesian Inference,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:56:30.594125Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation f5250e31-0d78-4625-bc20-e01c2ca38595 · outbound

This paper cites Asynchronous Batch Constrained Multi-Objective Bayesian Optimization for Analog Circuit Sizing,.

ORACLE: A Multi-Objective Reinforcement Learning-Based Analog Circuit Design Optimizer with Large Language Models-Guided Exploration Asynchronous Batch Constrained Multi-Objective Bayesian Optimization for Analog Circuit Sizing,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:56:30.579100Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Pith citing papers

Observation 5f313593-b236-4d71-a091-e065ae9a6974 · inbound

AaLLM: An End-to-End Analog Circuit Design Framework from Topology Generation to Sizing Using Large Language Models cites this paper.

AaLLM: An End-to-End Analog Circuit Design Framework from Topology Generation to Sizing Using Large Language Models ORACLE: A Multi-Objective Reinforcement Learning-Based Analog Circuit Design Optimizer with Large Language Models-Guided Exploration

Reference 4

Resolution: verified exact; local_arxiv, observed 2026-08-14T10:19:28.916435Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.