Paper Citation Record · LEDGER

A Large Language Model-based Multi-Agent Framework for Analog Circuits' Sizing Relationships Extraction

As of 13 August 2026, this Paper Citation Record lists 32 of 32 outbound references and 1 inbound Pith citation observation for arXiv:2506.18424.

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

pith.paper-citation-record.v1
2506.18424 v1

Coverage vector

measured 32 of 32 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T23:21:50.364756Z

measured 33 of 33 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-12T03:05:31.608461Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-12T03:06:18.829872Z

Reference resolution

32 of 32 outbound references displayed

verified exact0
verified fuzzy6
unresolved26
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 3a83b9c8-c8f1-427f-8bae-d38f6a70ff9c · outbound

This paper cites Cktgnn: Circuit graph neural network for electronic design automation,.

A Large Language Model-based Multi-Agent Framework for Analog Circuits' Sizing Relationships Extraction Cktgnn: Circuit graph neural network for electronic design automation,

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-06T23:21:45.654793Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b64e43ec-0bdb-45d4-80e5-6ba7af44438c · outbound

This paper cites Gcn-rl circuit designer: Transferable transistor sizing with graph neural networks and reinforcement learning,.

A Large Language Model-based Multi-Agent Framework for Analog Circuits' Sizing Relationships Extraction Gcn-rl circuit designer: Transferable transistor sizing with graph neural networks and reinforcement learning,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-06T23:21:45.740839Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 20780718-5717-46cc-977c-1731d733f688 · outbound

This paper cites Batch Bayesian optimization via multi-objective acquisition ensemble for automated analog circuit design,.

A Large Language Model-based Multi-Agent Framework for Analog Circuits' Sizing Relationships Extraction Batch Bayesian optimization via multi-objective acquisition ensemble for automated analog circuit design,

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-06T23:21:45.904846Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 909c89b2-fbe2-493c-bb50-65d8adca2958 · outbound

This paper cites An efficient batch-constrained bayesian optimization approach for analog circuit synthesis via multiobjective acquisition ensemble,.

A Large Language Model-based Multi-Agent Framework for Analog Circuits' Sizing Relationships Extraction An efficient batch-constrained bayesian optimization approach for analog circuit synthesis via multiobjective acquisition ensemble,

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-06T23:21:46.007783Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ce8d27bb-d36f-4f09-b419-60fbf2dcf9eb · outbound

This paper cites Locomobo: A local constrained multiobjective bayesian optimization for analog circuit sizing,.

A Large Language Model-based Multi-Agent Framework for Analog Circuits' Sizing Relationships Extraction Locomobo: A local constrained multiobjective bayesian optimization for analog circuit sizing,

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-06T23:21:46.077267Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 347bf1da-6dbd-4739-b435-57a6098e1555 · outbound

This paper cites Ladac: Large language model-driven auto-designer for analog circuits,.

A Large Language Model-based Multi-Agent Framework for Analog Circuits' Sizing Relationships Extraction Ladac: Large language model-driven auto-designer for analog circuits,

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-06T23:21:46.244749Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1fff8344-93ce-4f0d-84f5-6f5b4517b759 · outbound

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

A Large Language Model-based Multi-Agent Framework for Analog Circuits' Sizing Relationships Extraction AnalogCoder: Analog Circuit Design via Training-Free Code Generation

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-06T23:21:46.384747Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 707e208a-8693-4f80-baa0-b69d180ab7b5 · outbound

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

A Large Language Model-based Multi-Agent Framework for Analog Circuits' Sizing Relationships Extraction ADO-LLM: Analog Design Bayesian Optimization with In-Context Learning of Large Language Models

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-06T23:21:46.564750Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a8de9ef1-ac0d-4689-9873-412752ce1d6c · outbound

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

A Large Language Model-based Multi-Agent Framework for Analog Circuits' Sizing Relationships Extraction AmpAgent: An LLM-based Multi-Agent System for Multi-stage Amplifier Schematic Design from Literature for Process and Performance Porting

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-06T23:21:46.684526Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e73f963e-5cf5-4995-b524-5fc5a5817642 · outbound

This paper cites A Survey of Large Language Models.

A Large Language Model-based Multi-Agent Framework for Analog Circuits' Sizing Relationships Extraction A Survey of Large Language Models

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-06T23:21:46.844744Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e4efe102-b3a9-47f3-a756-55ae07943afe · outbound

This paper cites Talking about large language models,.

A Large Language Model-based Multi-Agent Framework for Analog Circuits' Sizing Relationships Extraction Talking about large language models,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-06T23:21:47.044747Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 858753c1-fc66-4a5d-989d-e7a96cca4871 · outbound

This paper cites The rise and potential of large language model based agents: A survey,.

A Large Language Model-based Multi-Agent Framework for Analog Circuits' Sizing Relationships Extraction The rise and potential of large language model based agents: A survey,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-06T23:21:47.447951Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2a7f0d18-1305-4624-86af-b8dc04a51194 · outbound

This paper cites DiLu: A Knowledge-Driven Approach to Autonomous Driving with Large Language Models.

A Large Language Model-based Multi-Agent Framework for Analog Circuits' Sizing Relationships Extraction DiLu: A Knowledge-Driven Approach to Autonomous Driving with Large Language Models

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-06T23:21:47.584945Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b1ccf9be-11bc-4584-972e-f735ae38c566 · outbound

This paper cites Voyager: An Open-Ended Embodied Agent with Large Language Models.

A Large Language Model-based Multi-Agent Framework for Analog Circuits' Sizing Relationships Extraction Voyager: An Open-Ended Embodied Agent with Large Language Models

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-06T23:21:47.834825Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4c09ad17-9229-48a1-9e42-e651b0871266 · outbound

This paper cites Autonomous chemical research with large language models,.

A Large Language Model-based Multi-Agent Framework for Analog Circuits' Sizing Relationships Extraction Autonomous chemical research with large language models,

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-06T23:21:47.984834Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 279a2ac9-d8e6-4a79-9ac7-0cee5cc1dc27 · outbound

This paper cites Large Language Model based Multi-Agents: A Survey of Progress and Challenges.

A Large Language Model-based Multi-Agent Framework for Analog Circuits' Sizing Relationships Extraction Large Language Model based Multi-Agents: A Survey of Progress and Challenges

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-06T23:21:48.145524Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6471d86d-5e35-449c-b371-51db3ab165cf · outbound

This paper cites ChatDev: Communicative Agents for Software Development.

A Large Language Model-based Multi-Agent Framework for Analog Circuits' Sizing Relationships Extraction ChatDev: Communicative Agents for Software Development

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-06T23:21:48.284923Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e98f4cb6-4bda-46b7-92bb-ea03f85421bb · outbound

This paper cites Chatgpt research group for optimizing the crystallinity of mofs and cofs,.

A Large Language Model-based Multi-Agent Framework for Analog Circuits' Sizing Relationships Extraction Chatgpt research group for optimizing the crystallinity of mofs and cofs,

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-06T23:21:48.376926Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 83f2f807-ed56-44be-a71e-668e99f7219c · outbound

This paper cites MedAgents: Large Language Models as Collaborators for Zero-shot Medical Reasoning.

A Large Language Model-based Multi-Agent Framework for Analog Circuits' Sizing Relationships Extraction MedAgents: Large Language Models as Collaborators for Zero-shot Medical Reasoning

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-06T23:21:48.538440Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 83eb66be-b52e-4e20-8616-ddb0962692af · outbound

This paper cites UVLLM: An Automated Universal RTL Verification Framework using LLMs.

A Large Language Model-based Multi-Agent Framework for Analog Circuits' Sizing Relationships Extraction UVLLM: An Automated Universal RTL Verification Framework using LLMs

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-06T23:21:48.744820Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 95ff580c-99d8-405c-8806-5ad9567d647e · outbound

This paper cites Location is Key: Leveraging Large Language Model for Functional Bug Localization in Verilog.

A Large Language Model-based Multi-Agent Framework for Analog Circuits' Sizing Relationships Extraction Location is Key: Leveraging Large Language Model for Functional Bug Localization in Verilog

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-06T23:21:48.954897Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f85a5c75-1c5a-4f17-8cd8-ea37ca215303 · outbound

This paper cites Chatcpu: An agile cpu design and verification platform with llm,.

A Large Language Model-based Multi-Agent Framework for Analog Circuits' Sizing Relationships Extraction Chatcpu: An agile cpu design and verification platform with llm,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:21:54.604749Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation f7b1249d-4462-45f5-a8c0-846b3dca2a8e · outbound

This paper cites LaMAGIC: Language-Model-based Topology Generation for Analog Integrated Circuits.

A Large Language Model-based Multi-Agent Framework for Analog Circuits' Sizing Relationships Extraction LaMAGIC: Language-Model-based Topology Generation for Analog Integrated Circuits

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-06T23:21:49.414830Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 486902e5-d0eb-4b49-b7a5-e659817601e2 · outbound

This paper cites Artisan: Automated operational amplifier design via domain-specific large language model,.

A Large Language Model-based Multi-Agent Framework for Analog Circuits' Sizing Relationships Extraction Artisan: Automated operational amplifier design via domain-specific large language model,

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-06T23:21:49.525690Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b0584a03-dbc9-4e19-8ecd-92da544a51d2 · outbound

This paper cites Datasets for Large Language Models: A Comprehensive Survey.

A Large Language Model-based Multi-Agent Framework for Analog Circuits' Sizing Relationships Extraction Datasets for Large Language Models: A Comprehensive Survey

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-06T23:21:49.646197Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0280f1a4-46f8-466e-834a-02ba67d469fc · outbound

This paper cites AMSNet: Netlist Dataset for AMS Circuits.

A Large Language Model-based Multi-Agent Framework for Analog Circuits' Sizing Relationships Extraction AMSNet: Netlist Dataset for AMS Circuits

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-06T23:21:49.734747Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e55d3d31-abd7-4280-92fe-14579fb66dbe · outbound

This paper cites Yolov8: A novel object detection algorithm with enhanced performance and robustness,.

A Large Language Model-based Multi-Agent Framework for Analog Circuits' Sizing Relationships Extraction Yolov8: A novel object detection algorithm with enhanced performance and robustness,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:21:54.074766Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 22acf19b-298e-4c2c-8932-491e7972dd94 · outbound

This paper cites MetaGPT: Meta Programming for A Multi-Agent Collaborative Framework.

A Large Language Model-based Multi-Agent Framework for Analog Circuits' Sizing Relationships Extraction MetaGPT: Meta Programming for A Multi-Agent Collaborative Framework

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-06T23:21:49.944749Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 464fb98b-37df-483f-8b0a-2254d637c36e · outbound

This paper cites Ted: A python-based analog design environment for agile circuit development,.

A Large Language Model-based Multi-Agent Framework for Analog Circuits' Sizing Relationships Extraction Ted: A python-based analog design environment for agile circuit development,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:21:53.820571Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 719d5e26-03ad-442e-90f4-12c6cfab9db6 · outbound

This paper cites A 300 nw, 15 ppm/c, 20 ppm/v cmos voltage reference circuit consisting of subthreshold mosfets,.

A Large Language Model-based Multi-Agent Framework for Analog Circuits' Sizing Relationships Extraction A 300 nw, 15 ppm/c, 20 ppm/v cmos voltage reference circuit consisting of subthreshold mosfets,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:21:53.514931Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 036779db-843a-43c7-a7c9-8c6a15e846bb · outbound

This paper cites An ultra-low-voltage ultra-low-power cmos miller ota with rail-to-rail input/output swing,.

A Large Language Model-based Multi-Agent Framework for Analog Circuits' Sizing Relationships Extraction An ultra-low-voltage ultra-low-power cmos miller ota with rail-to-rail input/output swing,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:21:53.205772Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation ebbe5b04-5f8d-4e65-8dd1-1f3b1044e23c · outbound

This paper cites A capacitor-free cmos low-dropout regulator with damping-factor-control frequency compensation,.

A Large Language Model-based Multi-Agent Framework for Analog Circuits' Sizing Relationships Extraction A capacitor-free cmos low-dropout regulator with damping-factor-control frequency compensation,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:21:52.934750Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Pith citing papers

Observation 232c500a-9f2d-45b5-8863-2b0d3755d207 · inbound

RFAmpDesigner: A Self-Evolving Multi-Agent LLM Framework for Automated Radio Frequency Amplifier Design cites this paper.

RFAmpDesigner: A Self-Evolving Multi-Agent LLM Framework for Automated Radio Frequency Amplifier Design A Large Language Model-based Multi-Agent Framework for Analog Circuits' Sizing Relationships Extraction

Reference 32

Resolution: verified exact; arxiv_id, observed 2026-05-12T03:06:18.832113Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.