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Paper Citation Record · LEDGER

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

As of 9 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 0 inbound Pith citation observations 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 38 of 38 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

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

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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 2026-08-09T06:31:02.800959+00:00.

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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

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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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T11:56:30.350281Z digest=sha256:97d2c3967007cef963981d1458d91db54697e684145c7b93a1fef3744facbdce

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

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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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T11:56:30.355110Z digest=sha256:d0921477a30eb1cd4a51fabd3ad25845e5e0df5b50712084524020974a768164

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

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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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T11:56:30.359954Z digest=sha256:926a0fd5798ea29480e27c88252295aa53ade011efc80ae563327f7313f4f6ef

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

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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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T11:56:30.365097Z digest=sha256:43aab870f3af02863e8e2a073b18051aaadd48075716a65e4be2c8e36d6e3753

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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T11:56:30.369932Z digest=sha256:222ea0ba23f5bbf432aaea3906dbcad4fb35e3d1154d29c2f07383137ba27fd9

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

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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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T11:56:30.375179Z digest=sha256:879a82a15dafed015d6eb6121c415060440513d4fec9f9bb1096dde513e2243e

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

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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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T11:56:30.379657Z digest=sha256:e538e00968ca231b8b9fb03c5442bf92c5b9591e315697405d6c80387e49570a

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

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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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T11:56:30.384429Z digest=sha256:a1a8fdfe127a03880c4a2797b948566fc0162550d0fdfe81e0124f6891246c2c

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

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T11:56:30.389292Z digest=sha256:01d15caec5922095994a5eff32ae4313e61f8a49e5253cddbc33a4aa1e4b39ea

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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T11:56:30.394133Z digest=sha256:16f8d43c5cbfcfc0c7dbfec2904fe7ec5a519afddd1fd4d10c89372f33b944a8

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

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T11:56:30.398975Z digest=sha256:76b3e259428237d1a4990a4556fad89b462321a39c56b59d479c4b59496fedf4

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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T11:56:30.404046Z digest=sha256:bbbcabc3c4db6b0d4b8815674b1a2456486d061ca54ca7adfc61a66d1ebab72f

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

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T11:56:30.413375Z digest=sha256:d5b0e7d7a09b00b51bac3fb426beb245301ce3247e33eef718972197b861cd98

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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T11:56:30.418383Z digest=sha256:4b1544e5bcb09cae48ba1ef582377c1ea0fbf1bfc8603cb8c63ac1f6d9dee77e

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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T11:56:30.423519Z digest=sha256:fb965e6f69f3c473e343c1be5ae1b940478d2cd104dd3da55e35a54efe8a799c

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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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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

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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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T11:56:30.432751Z digest=sha256:d88b17bbced6e38f08e4243200a656cad889295864ff084849b51ad9feb44c6d

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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T11:56:30.437340Z digest=sha256:88eb0c16bc7b3a6f6b12bdc130cb2581760fba39243be6ed1b0a4f5f4cbb3967

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

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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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T11:56:30.442424Z digest=sha256:1699d02f6bcbccdbf711bd8b8072db350eeaf392d7fb1b9ea65850f72ca710ca

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

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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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T11:56:30.446949Z digest=sha256:5a61420f3840b97438d4d6f21f2614ce7f38f3c11e8e02fa0e556226d7509eb1

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

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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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T11:56:30.451625Z digest=sha256:369e9d4ac9c1cda4822cb5d4994e9327371c1296539ae446b0651c9f11b0ccc4

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

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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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T11:56:30.456862Z digest=sha256:525d9093ff7ccb8ac95b2c543bf4be3015f9d47378f29d523fab06a5db34b34d

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

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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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T11:56:30.461251Z digest=sha256:86574a29bd4e60d6203199e29289c4f0fa08286ba100a7a9b16c434cca36a584

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

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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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T11:56:30.465598Z digest=sha256:331a6b410aafded4a2357851fd8d87c109ccc2ab857a3a9fed6ee25d994dbfee

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

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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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T11:56:30.469871Z digest=sha256:4760964ecd465d8744867d553bdb3201da8b1345413fd65de67980125bbdef18

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

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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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T11:56:30.474565Z digest=sha256:c09bb2d7c7790c9fe1e5da9165500576eaa6c30b4b4b9628065c2b7bc083cc58

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

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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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T11:56:30.479607Z digest=sha256:6840f15556a9888506d024d0027a77812f3e6d1f25f9560c1157ce565608be53

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

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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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T11:56:30.484541Z digest=sha256:c8b07dad17af0c5821c60bb0a3ecbcb2eaf1b6a11487ec948a5fffd99a6de54f

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

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T11:56:30.489066Z digest=sha256:7c3a02433b4323e4bed0f04aff296f6d6fdd2315b3917760ad7a4c3f8b59ddba

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T11:56:30.493509Z digest=sha256:ec46c9456a673bbb0e26e187969be727081a1efcfe80e3709ec64036419a5076

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T11:56:30.498093Z digest=sha256:e5d59c7720a8a20085ba41e9afb3ad99348afbea6cd2a1f9f4b30402c0ef5280

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.

source=pdf_text observed=2026-08-06T11:56:30.502733Z digest=sha256:b9239021674be175d91b2aab0fc147909f3270dd1cfd309fe91bd7f87d184221

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T11:56:30.507285Z digest=sha256:71b2f20a8a2f0af981bf81470063a6d28637817268fe6c53b32e1b7c01be8036

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T11:56:30.511812Z digest=sha256:890f727dda32f4f8c2089cb8b24c933fde32805d20eb40a7a8b6d2e8fa313750

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T11:56:30.516399Z digest=sha256:fa9b1fa0d7cb1906668155a413a62201b17cd5e87f28fe70ae1f1edfd677fc84

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T11:56:30.520761Z digest=sha256:3a65a5a6f8602f86c2e206455e181d2122264a7ff0de5c3b9e94f96559b39033

Pith citing papers

No inbound Pith citation observations are available.