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Paper Citation Record · LEDGER

DiffCkt: A Diffusion Model-Based Hybrid Neural Network Framework for Automatic Transistor-Level Generation of Analog Circuits

As of 12 August 2026, this Paper Citation Record lists 30 of 30 outbound references and 0 inbound Pith citation observations for arXiv:2507.00444.

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

pith.paper-citation-record.v1
2507.00444 v2

Coverage vector

measured 30 of 30 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T21:21:13.751910Z

measured 30 of 30 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 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

30 of 30 outbound references displayed

  • verified exact0
  • verified fuzzy15
  • unresolved15
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 86ded2b8-e657-4ce6-b00f-0cd8ae025f7c · outbound

This paper cites Bag2: A process-portable framework for generator-based ams circuit design,.

DiffCkt: A Diffusion Model-Based Hybrid Neural Network Framework for Automatic Transistor-Level Generation of Analog Circuits Bag2: A process-portable framework for generator-based ams circuit design,

Reference 1

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raw_fallback, observed 2026-08-06T21:21:14.076377Z

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.

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Observation b06796e5-2d46-494f-b8c1-8c7b20c31f26 · outbound

This paper cites Magical: Toward fully automated analog ic layout leveraging human and machine intelligence,.

DiffCkt: A Diffusion Model-Based Hybrid Neural Network Framework for Automatic Transistor-Level Generation of Analog Circuits Magical: Toward fully automated analog ic layout leveraging human and machine intelligence,

Reference 2

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raw_fallback, observed 2026-08-06T21:21:14.068839Z

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.

source=pdf_text observed=2026-08-06T21:21:12.368777Z digest=sha256:75f11eb727a23cd5048e2abec82661e0a37b0f04c8a98648637156a5478f6962

Observation 23b105ca-37e3-40f8-9189-11d24f9ef613 · outbound

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

DiffCkt: A Diffusion Model-Based Hybrid Neural Network Framework for Automatic Transistor-Level Generation of Analog Circuits Batch Bayesian optimization via multi-objective acquisition ensemble for automated analog circuit design,

Reference 3

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raw_fallback, observed 2026-08-06T21:21:14.060918Z

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.

source=pdf_text observed=2026-08-06T21:21:12.487068Z digest=sha256:cef46a58379ca25eb7657c1af2dd5c2db313bf33e61baadcb631ade8f88c539a

Observation 7eb86764-b7b2-470e-9cb3-27532e7b7718 · outbound

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

DiffCkt: A Diffusion Model-Based Hybrid Neural Network Framework for Automatic Transistor-Level Generation of Analog Circuits Gcn-rl circuit designer: Transferable transistor sizing with graph neural networks and reinforcement learning,

Reference 4

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raw_fallback, observed 2026-08-06T21:21:14.052427Z

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.

source=pdf_text observed=2026-08-06T21:21:12.604540Z digest=sha256:117d099cd4668076beb0f32ebd0745e01d649fd4522cc38ff9aa9d55f5f7e65a

Observation c9e14861-d8ce-4c0f-927f-2d1fcac09c25 · outbound

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

DiffCkt: A Diffusion Model-Based Hybrid Neural Network Framework for Automatic Transistor-Level Generation of Analog Circuits AmpAgent: An LLM-based Multi-Agent System for Multi-stage Amplifier Schematic Design from Literature for Process and Performance Porting

Reference 5

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:21:12.742336Z digest=sha256:070b82894dc211818b3c9c37c10d674d2d7cf6a7f42e44fffddb4f3e3f642d13

Observation e971486b-48b5-479b-be42-d5f6d64f103d · outbound

This paper cites CktGNN: Circuit Graph Neural Network for Electronic Design Automation.

DiffCkt: A Diffusion Model-Based Hybrid Neural Network Framework for Automatic Transistor-Level Generation of Analog Circuits CktGNN: Circuit Graph Neural Network for Electronic Design Automation

Reference 6

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source=pdf_text observed=2026-08-06T21:21:12.837927Z digest=sha256:517227cfd1a0cb74c977d711c12e558e451fd10854e475cfa859d4373dd184ac

Observation 73cfe8a2-cb89-487e-9052-4e63ba681cf5 · outbound

This paper cites Atom: An automatic topology synthesis framework for operational amplifiers,.

DiffCkt: A Diffusion Model-Based Hybrid Neural Network Framework for Automatic Transistor-Level Generation of Analog Circuits Atom: An automatic topology synthesis framework for operational amplifiers,

Reference 7

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raw_fallback, observed 2026-08-06T21:21:14.044373Z

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.

source=pdf_text observed=2026-08-06T21:21:12.941532Z digest=sha256:89b1556ce120ba510cdbbdedb340f13793505f8c29228718dae8d32712374dbf

Observation 86216fb6-df64-4242-bcb2-57cc8a54acc4 · outbound

This paper cites A data-driven analog circuit synthesizer with automatic topology selection and sizing,.

DiffCkt: A Diffusion Model-Based Hybrid Neural Network Framework for Automatic Transistor-Level Generation of Analog Circuits A data-driven analog circuit synthesizer with automatic topology selection and sizing,

Reference 8

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raw_fallback, observed 2026-08-06T21:21:14.036243Z

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.

source=pdf_text observed=2026-08-06T21:21:13.115631Z digest=sha256:3e12e36ecb7db8f67afa30576a0c26b6becddd1295733068039422beb30f3cdd

Observation 8188412d-35bd-4529-b057-5c9a31170b09 · outbound

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

DiffCkt: A Diffusion Model-Based Hybrid Neural Network Framework for Automatic Transistor-Level Generation of Analog Circuits Ladac: Large language model-driven auto-designer for analog circuits,

Reference 9

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raw_fallback, observed 2026-08-06T21:21:14.027481Z

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.

source=pdf_text observed=2026-08-06T21:21:13.253829Z digest=sha256:1ae9a9d6c1b28442ce02135b89f5e9abcf8bf3b967518f628182ada73d396148

Observation a712ff91-b90e-4866-a9a0-70f02e0ce98e · outbound

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

DiffCkt: A Diffusion Model-Based Hybrid Neural Network Framework for Automatic Transistor-Level Generation of Analog Circuits AnalogCoder: Analog Circuit Design via Training-Free Code Generation

Reference 10

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source=pdf_text observed=2026-08-06T21:21:13.380119Z digest=sha256:1a13030adf080c9ac317d5be9f91255968eabbded9e51bb31e03a6135ca83fe8

Observation 560cc790-00c5-4231-b863-28da141ff656 · outbound

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

DiffCkt: A Diffusion Model-Based Hybrid Neural Network Framework for Automatic Transistor-Level Generation of Analog Circuits ADO-LLM: Analog Design Bayesian Optimization with In-Context Learning of Large Language Models

Reference 11

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source=pdf_text observed=2026-08-06T21:21:13.446164Z digest=sha256:283c9d382d80571e7a3c598732b02912e69563e96312561d8cab9463e3a06277

Observation effe0630-afde-4798-8125-010e93fe9624 · outbound

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

DiffCkt: A Diffusion Model-Based Hybrid Neural Network Framework for Automatic Transistor-Level Generation of Analog Circuits LaMAGIC: Language-Model-based Topology Generation for Analog Integrated Circuits

Reference 12

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:21:13.523874Z digest=sha256:5d6440c8a0e6fdefabbfa5e3151a4a7b4bbb04adc91898c36ad1789863e6fa5d

Observation 68caaba2-ed9c-42cf-bfdc-a40687a346a0 · outbound

This paper cites AnalogGenie: A Generative Engine for Automatic Discovery of Analog Circuit Topologies.

DiffCkt: A Diffusion Model-Based Hybrid Neural Network Framework for Automatic Transistor-Level Generation of Analog Circuits AnalogGenie: A Generative Engine for Automatic Discovery of Analog Circuit Topologies

Reference 13

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no resolver link, observed 2026-08-06T21:21:13.699348Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:21:13.699348Z digest=sha256:f5feede017990fa017bb450cebea47241758541388280fc28ff0c5b47a719172

Observation cbaea8b0-7fa9-40d9-beb4-a351157a23e9 · outbound

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

DiffCkt: A Diffusion Model-Based Hybrid Neural Network Framework for Automatic Transistor-Level Generation of Analog Circuits Gcn-rl circuit designer: Transferable transistor sizing with graph neural networks and reinforcement learning,

Reference 14

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verified fuzzy
raw_fallback, observed 2026-08-06T21:21:14.019376Z

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.

source=pdf_text observed=2026-08-06T21:21:13.709449Z digest=sha256:809117101058336ce5c55dc4c61e4d0f0bc6c83ed432a82c98c5110f85acda00

Observation 0115e27d-7cca-41be-a47c-61accb30b2c7 · outbound

This paper cites Deep unsupervised learning using nonequilibrium thermodynamics,.

DiffCkt: A Diffusion Model-Based Hybrid Neural Network Framework for Automatic Transistor-Level Generation of Analog Circuits Deep unsupervised learning using nonequilibrium thermodynamics,

Reference 15

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:21:13.711826Z digest=sha256:fd5f8053219e7b11eebe12096cb4998c702c20ec5ecfc8ac4211d60b8bf75b64

Observation 2f7b4356-e350-497b-b774-13219cd7a99b · outbound

This paper cites Denoising Diffusion Probabilistic Models.

DiffCkt: A Diffusion Model-Based Hybrid Neural Network Framework for Automatic Transistor-Level Generation of Analog Circuits Denoising Diffusion Probabilistic Models

Reference 16

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source=pdf_text observed=2026-08-06T21:21:13.714199Z digest=sha256:065db62bd227e3650c1a357921e4beec61622b0cf7df069ee92ff2f53422d6e8

Observation ed057bf8-14d8-4a5c-ae9d-f02aa7d5f5cf · outbound

This paper cites Imagen Video: High Definition Video Generation with Diffusion Models.

DiffCkt: A Diffusion Model-Based Hybrid Neural Network Framework for Automatic Transistor-Level Generation of Analog Circuits Imagen Video: High Definition Video Generation with Diffusion Models

Reference 17

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:21:13.717320Z digest=sha256:db479c64538136ce70058ddbac78e72aaf4c91d28325cfe89c49853eedb6edfb

Observation 1fe3aa34-ed0d-4261-a7ad-47b90305a794 · outbound

This paper cites High-Resolution Image Synthesis with Latent Diffusion Models.

DiffCkt: A Diffusion Model-Based Hybrid Neural Network Framework for Automatic Transistor-Level Generation of Analog Circuits High-Resolution Image Synthesis with Latent Diffusion Models

Reference 18

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:21:13.720291Z digest=sha256:c90d86140d2bf41cf6ac81f0dc4bcc8d54d60bc230bd097ffe4628b3e84944f1

Observation bd727e7b-c900-4eb0-b424-e132a803340e · outbound

This paper cites Animatediff: Animate your personalized text-to- image diffusion models without specific tuning,.

DiffCkt: A Diffusion Model-Based Hybrid Neural Network Framework for Automatic Transistor-Level Generation of Analog Circuits Animatediff: Animate your personalized text-to- image diffusion models without specific tuning,

Reference 19

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raw_fallback, observed 2026-08-06T21:21:14.006299Z

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.

source=pdf_text observed=2026-08-06T21:21:13.722922Z digest=sha256:3b5c84d1cb9642d05f5cec68047d165aa3f208462628d16d88122e7b5395d1da

Observation c8175e15-9919-4e35-9c84-9275ec0441e4 · outbound

This paper cites Grand: Graph neural diffusion,.

DiffCkt: A Diffusion Model-Based Hybrid Neural Network Framework for Automatic Transistor-Level Generation of Analog Circuits Grand: Graph neural diffusion,

Reference 20

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no resolver link, observed 2026-08-06T21:21:13.725746Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:21:13.725746Z digest=sha256:d5fb134fb7c53c81b0737983008c086b325494e734cc81d5bf76a1a17dcdbf27

Observation c0fc3411-94e4-49dd-ace7-1fb860bae966 · outbound

This paper cites Generative diffusion models on graphs: Methods and applications,.

DiffCkt: A Diffusion Model-Based Hybrid Neural Network Framework for Automatic Transistor-Level Generation of Analog Circuits Generative diffusion models on graphs: Methods and applications,

Reference 21

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verified fuzzy
raw_fallback, observed 2026-08-06T21:21:13.993306Z

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.

source=pdf_text observed=2026-08-06T21:21:13.728161Z digest=sha256:614d97e3050ee28d3ff0f4277b881751a0ed90d7a0b066b6997612c6f66a91d7

Observation 8eecaf5b-dfc8-45ff-8788-c2b5bdc10b32 · outbound

This paper cites DiGress: Discrete Denoising diffusion for graph generation.

DiffCkt: A Diffusion Model-Based Hybrid Neural Network Framework for Automatic Transistor-Level Generation of Analog Circuits DiGress: Discrete Denoising diffusion for graph generation

Reference 22

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:21:13.733863Z digest=sha256:a4271ae1d637c6d15d3141a24b10d690d8dc3d27aa4911c9276adee6f3953d78

Observation d0a055f5-7457-400f-8272-9d243f946449 · outbound

This paper cites Using denoising diffusion probabilistic models to solve the inverse sizing problem of analog integrated circuits,.

DiffCkt: A Diffusion Model-Based Hybrid Neural Network Framework for Automatic Transistor-Level Generation of Analog Circuits Using denoising diffusion probabilistic models to solve the inverse sizing problem of analog integrated circuits,

Reference 23

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verified fuzzy
raw_fallback, observed 2026-08-06T21:21:13.984844Z

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.

source=pdf_text observed=2026-08-06T21:21:13.736459Z digest=sha256:728715c5cabd019ed6d588ad9be174ffdd0d994df16b05a3833955ac567fca63

Observation 45abb573-febd-4623-9fc6-7b5e2141bb5e · outbound

This paper cites Compre- hensive application of denoising diffusion probabilistic models towards the automation of analog integrated circuit sizing,.

DiffCkt: A Diffusion Model-Based Hybrid Neural Network Framework for Automatic Transistor-Level Generation of Analog Circuits Compre- hensive application of denoising diffusion probabilistic models towards the automation of analog integrated circuit sizing,

Reference 24

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raw_fallback, observed 2026-08-06T21:21:13.976458Z

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.

source=pdf_text observed=2026-08-06T21:21:13.738772Z digest=sha256:49ba91102db99c7cd5c5c36b8e0b4ad84ed6bf6c029ef54f238fdb1a9ac14a9e

Observation 9eb20838-6f90-46f6-955a-3200ae148840 · outbound

This paper cites an unresolved cited work.

DiffCkt: A Diffusion Model-Based Hybrid Neural Network Framework for Automatic Transistor-Level Generation of Analog Circuits Unresolved cited work

Reference 25

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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.

source=pdf_text observed=2026-08-06T21:21:13.741336Z digest=sha256:1d2571ae604e492942daf6cfc2feddc7c372aac41e22322b68ba6884b67c1d9a

Observation 0c3f2de5-1ade-4775-97f2-5502af54b13e · outbound

This paper cites Denoising Diffusion Implicit Models.

DiffCkt: A Diffusion Model-Based Hybrid Neural Network Framework for Automatic Transistor-Level Generation of Analog Circuits Denoising Diffusion Implicit Models

Reference 26

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:21:13.743649Z digest=sha256:d34df5a606ba8818a65656b0c9fa1e2cc02ace58ec718fda8a68a66471af97f6

Observation 0af55110-3e7d-48de-a860-87e5e64010d0 · outbound

This paper cites Transconductance with capacitances feedback compensation for multistage amplifiers,.

DiffCkt: A Diffusion Model-Based Hybrid Neural Network Framework for Automatic Transistor-Level Generation of Analog Circuits Transconductance with capacitances feedback compensation for multistage amplifiers,

Reference 27

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raw_fallback, observed 2026-08-06T21:21:13.888263Z

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.

source=pdf_text observed=2026-08-06T21:21:13.746434Z digest=sha256:1963a45736411554027c309eacaa8b2f80e1fa89579416d469c99adc9c7f1617

Observation fd8ebd7b-b0f1-454d-ad2c-46e69073744c · outbound

This paper cites Analysis of multistage amplifier-frequency compensation,.

DiffCkt: A Diffusion Model-Based Hybrid Neural Network Framework for Automatic Transistor-Level Generation of Analog Circuits Analysis of multistage amplifier-frequency compensation,

Reference 28

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raw_fallback, observed 2026-08-06T21:21:13.879989Z

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.

source=pdf_text observed=2026-08-06T21:21:13.749412Z digest=sha256:29b1bfa78c944d36c37b5598df1461c62d8bdfc16bdf11c41336e8cca427d3b9

Observation 7d962cce-62a2-4a95-862c-d765c1d535dd · outbound

This paper cites Design-oriented analysis for miller compensation and its application to multistage amplifier design,.

DiffCkt: A Diffusion Model-Based Hybrid Neural Network Framework for Automatic Transistor-Level Generation of Analog Circuits Design-oriented analysis for miller compensation and its application to multistage amplifier design,

Reference 29

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raw_fallback, observed 2026-08-06T21:21:13.870976Z

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.

source=pdf_text observed=2026-08-06T21:21:13.751910Z digest=sha256:37410b932f503578e367264152a4e5bc496f6aa3663cac2950c237d49bce5694

Observation e7959968-352c-4385-a384-1dd9768a497a · outbound

This paper cites Generative Diffusion Models on Graphs: Methods and Applications.

DiffCkt: A Diffusion Model-Based Hybrid Neural Network Framework for Automatic Transistor-Level Generation of Analog Circuits Generative Diffusion Models on Graphs: Methods and Applications

Reference 2023

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no resolver link, observed 2026-08-06T21:21:13.730866Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:21:13.730866Z digest=sha256:e99c97615c193dd47268db9efcbcd699f888427e2c8457ae980fc61a161fe1f6

Pith citing papers

No inbound Pith citation observations are available.