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Paper Citation Record · LEDGER

MCP4EDA: LLM-Powered Model Context Protocol RTL-to-GDSII Automation with Backend Aware Synthesis Optimization

As of 7 August 2026, this Paper Citation Record lists 31 of 31 outbound references and 9 inbound Pith citation observations for arXiv:2507.19570.

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

pith.paper-citation-record.v1
2507.19570 v1

Coverage vector

measured 31 of 31 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T14:21:43.888518Z

measured 40 of 40 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T00:59:48.249015Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T15:09:55.503862Z

Reference resolution

31 of 31 outbound references displayed

  • verified exact1
  • verified fuzzy20
  • unresolved10
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation cb9b0820-4eea-48da-956b-43b4d3c80e6e · outbound

This paper cites Flowtune: End-to-end automatic logic optimization exploration via domain-specific multi-armed bandit,.

MCP4EDA: LLM-Powered Model Context Protocol RTL-to-GDSII Automation with Backend Aware Synthesis Optimization Flowtune: End-to-end automatic logic optimization exploration via domain-specific multi-armed bandit,

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:21:44.267543Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T14:21:43.820451Z digest=sha256:bbd829861c2c8606d55df30bba1582369bfa50df6d3c1e394831f3fd57d76e8d

Observation f749b127-b675-49f7-a3f1-85268b8fde32 · outbound

This paper cites Optimization of physically-aware synthesis for digital implementation flow,.

MCP4EDA: LLM-Powered Model Context Protocol RTL-to-GDSII Automation with Backend Aware Synthesis Optimization Optimization of physically-aware synthesis for digital implementation flow,

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:21:44.258849Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T14:21:43.823233Z digest=sha256:9fbcfb13a5677d9de9523d547f26eacb7f70884103e28fc03176a51deca7cd31

Observation 89e58cfa-518f-48d7-9dbe-874b8a1aca56 · outbound

This paper cites Rtlcoder: Fully open-source and efficient llm-assisted rtl code generation technique,.

MCP4EDA: LLM-Powered Model Context Protocol RTL-to-GDSII Automation with Backend Aware Synthesis Optimization Rtlcoder: Fully open-source and efficient llm-assisted rtl code generation technique,

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:21:44.251213Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T14:21:43.825662Z digest=sha256:18d69a5a1087660decbd358392f3c3eed32f46b930907f1b65051cb50e711341

Observation 091964fe-1193-43fb-bf69-36fe22dbbf82 · outbound

This paper cites Chipgpt: How far are we from natural language hardware design,.

MCP4EDA: LLM-Powered Model Context Protocol RTL-to-GDSII Automation with Backend Aware Synthesis Optimization Chipgpt: How far are we from natural language hardware design,

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-06T14:21:43.828139Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:21:43.828139Z digest=sha256:0503e0bfc7093bc6d672640ecb3ab51bbf5861721bf262773d99d991c5beacd0

Observation 3caae3b0-ccc8-403d-b988-5ef4e0ccfdc4 · outbound

This paper cites Chip-chat: Challenges and opportunities in conversational hardware design,.

MCP4EDA: LLM-Powered Model Context Protocol RTL-to-GDSII Automation with Backend Aware Synthesis Optimization Chip-chat: Challenges and opportunities in conversational hardware design,

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:21:44.243436Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T14:21:43.830581Z digest=sha256:8b94ced1b625ff9a91821e2ff5195aabd2ac48aed0f40f7cd2d1fc36bde87917

Observation 06f9e474-3a5b-4ceb-af77-42e2b2743f7c · outbound

This paper cites LLM4EDA: Emerging Progress in Large Language Models for Electronic Design Automation.

MCP4EDA: LLM-Powered Model Context Protocol RTL-to-GDSII Automation with Backend Aware Synthesis Optimization LLM4EDA: Emerging Progress in Large Language Models for Electronic Design Automation

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-06T14:21:43.832956Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:21:43.832956Z digest=sha256:67136d3e1b85f03d8054f0c699c7ec97b4db9e1d64378ee96a80619acd35b1df

Observation 7443940a-dd5f-489d-a407-cb2a41f0e2d6 · outbound

This paper cites Verilogeval: Evaluating large language models for verilog code generation,.

MCP4EDA: LLM-Powered Model Context Protocol RTL-to-GDSII Automation with Backend Aware Synthesis Optimization Verilogeval: Evaluating large language models for verilog code generation,

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:21:44.235650Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T14:21:43.835619Z digest=sha256:488a506e386355dd82600fb538dc99f59ba02a5c997937c9f020532ac09cc119

Observation 4acb3727-4321-4a14-9ca3-ee836cc68ea5 · outbound

This paper cites VeriReason: Reinforcement Learning with Testbench Feedback for Reasoning-Enhanced Verilog Generation.

MCP4EDA: LLM-Powered Model Context Protocol RTL-to-GDSII Automation with Backend Aware Synthesis Optimization VeriReason: Reinforcement Learning with Testbench Feedback for Reasoning-Enhanced Verilog Generation

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-06T14:21:43.837734Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:21:43.837734Z digest=sha256:56a3f502feb3444aef82360e265822204f6d5e9ab9fb6efb145e1da6cf330e07

Observation 3337552a-ed6c-4cca-b8d6-7701cf1a9304 · outbound

This paper cites Rtlfixer: Automatically fixing RTL syntax errors with large language model,.

MCP4EDA: LLM-Powered Model Context Protocol RTL-to-GDSII Automation with Backend Aware Synthesis Optimization Rtlfixer: Automatically fixing RTL syntax errors with large language model,

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:21:44.227517Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T14:21:43.840181Z digest=sha256:d5af0b4139131b5cbbb230a29cb85ad242ba25b1ffa0faf012acab141b4d1f0f

Observation 02ae5b9a-8a76-4464-9b3e-8d666e5a89ae · outbound

This paper cites Rtlrewriter: Methodologies for large models aided rtl code optimization,.

MCP4EDA: LLM-Powered Model Context Protocol RTL-to-GDSII Automation with Backend Aware Synthesis Optimization Rtlrewriter: Methodologies for large models aided rtl code optimization,

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:21:44.218477Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T14:21:43.842354Z digest=sha256:143481bff0068d3428f1841fa968771884378d52c136546b6594122a09459b34

Observation 9ae3fce4-ca39-4acc-a1be-c425c97e4f9d · outbound

This paper cites Symrtlo: Enhancing rtl code optimization with llms and neuron-inspired symbolic reasoning,.

MCP4EDA: LLM-Powered Model Context Protocol RTL-to-GDSII Automation with Backend Aware Synthesis Optimization Symrtlo: Enhancing rtl code optimization with llms and neuron-inspired symbolic reasoning,

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-06T14:21:43.844526Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:21:43.844526Z digest=sha256:c5c19a27cb149a15bf790a0f42ac6b424f96b1921776b78fa3aa6646222baf4c

Observation 080b4bb0-8274-4c8b-a57b-151e6778a486 · outbound

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

MCP4EDA: LLM-Powered Model Context Protocol RTL-to-GDSII Automation with Backend Aware Synthesis Optimization ChipNeMo: Domain-Adapted LLMs for Chip Design

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-06T14:21:43.846626Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:21:43.846626Z digest=sha256:5094a00900efa4ff15762d7344d66ea7f6b87b3bba3e91b9ab997ce4712c2cdd

Observation c287344c-f3e2-4546-b6b2-8897b5e37a49 · outbound

This paper cites ChatEDA: A Large Language Model Powered Autonomous Agent for EDA.

MCP4EDA: LLM-Powered Model Context Protocol RTL-to-GDSII Automation with Backend Aware Synthesis Optimization ChatEDA: A Large Language Model Powered Autonomous Agent for EDA

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-06T14:21:43.848990Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:21:43.848990Z digest=sha256:80c742f074762bfa5ae3372219fadd6de56c7a88571db76ae185d1833803304f

Observation 7de6b9ba-cfba-4711-b819-9d10f81bc38e · outbound

This paper cites Chip-chat: Challenges and opportunities in conversational hardware design,.

MCP4EDA: LLM-Powered Model Context Protocol RTL-to-GDSII Automation with Backend Aware Synthesis Optimization Chip-chat: Challenges and opportunities in conversational hardware design,

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:21:44.210794Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T14:21:43.851325Z digest=sha256:d3e4843866e85b2eae283de3c9deb80e04a2e7378639d29e2ea8302ad046b8cd

Observation 27baf4c5-612f-4791-80e7-c69afe934ff3 · outbound

This paper cites Openroad: Toward a self-driving, open-source digital layout implementation tool chain,.

MCP4EDA: LLM-Powered Model Context Protocol RTL-to-GDSII Automation with Backend Aware Synthesis Optimization Openroad: Toward a self-driving, open-source digital layout implementation tool chain,

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:21:44.202256Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T14:21:43.853378Z digest=sha256:1621e8e0ad5297ebeee30f6a80e43a6165dd82a23e5c98ceb3afbe04a8e1fcc0

Observation 2979e61b-9270-4ec8-8ab2-4c694cde46bd · outbound

This paper cites Building openlane: A 130nm openroad-based tapeout- proven flow : Invited paper,.

MCP4EDA: LLM-Powered Model Context Protocol RTL-to-GDSII Automation with Backend Aware Synthesis Optimization Building openlane: A 130nm openroad-based tapeout- proven flow : Invited paper,

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:21:44.193846Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T14:21:43.855641Z digest=sha256:f9e28f8a4f60ce02cb20d4ddb7f21180b0ce244eb2f6f8b1b033b20d69f94886

Observation 6df5812f-0231-46ed-8f7c-b4163ae25ff7 · outbound

This paper cites Optimization of physically-aware synthesis for digital implementation flow,.

MCP4EDA: LLM-Powered Model Context Protocol RTL-to-GDSII Automation with Backend Aware Synthesis Optimization Optimization of physically-aware synthesis for digital implementation flow,

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:21:44.185996Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T14:21:43.857672Z digest=sha256:c30111f8067d3c81871015c82022b28b7e1a1ec809fb62dca0861851e24f6b62

Observation 6612f801-f821-40c0-b637-1ef868a130ad · outbound

This paper cites Optimization of physically-aware synthesis for digital implemen- tation flow,.

MCP4EDA: LLM-Powered Model Context Protocol RTL-to-GDSII Automation with Backend Aware Synthesis Optimization Optimization of physically-aware synthesis for digital implemen- tation flow,

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:21:44.177424Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T14:21:43.860117Z digest=sha256:467636697464bf0d4cb02a64a5995874b6edc708adcb333e92acb67bedd9d91d

Observation ad4f67c7-4b67-4640-9f61-9a75084f34d4 · outbound

This paper cites Physically Aware Synthesis Revisited: Guiding Technology Mapping with Primitive Logic Gate Placement.

MCP4EDA: LLM-Powered Model Context Protocol RTL-to-GDSII Automation with Backend Aware Synthesis Optimization Physically Aware Synthesis Revisited: Guiding Technology Mapping with Primitive Logic Gate Placement

Reference 19

Resolution
verified exact
local_arxiv, observed 2026-08-06T14:21:43.931880Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T14:21:43.862210Z digest=sha256:b6aeb2aef031aac59b709fd0d7bf30a5b15177a470ce70aa9dc735b894ce1d61

Observation 23bec60a-e0aa-42b7-a3dd-e996ade77034 · outbound

This paper cites High-level synthesis design space explo- ration: Past, present, and future,.

MCP4EDA: LLM-Powered Model Context Protocol RTL-to-GDSII Automation with Backend Aware Synthesis Optimization High-level synthesis design space explo- ration: Past, present, and future,

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:21:44.169368Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T14:21:43.864501Z digest=sha256:9969b4a72803e969c74a13395a2f26d28ddfd02e0ceb888c8014436c2add7370

Observation 88496a16-ca16-49e2-9b6b-347049949a10 · outbound

This paper cites Efficient system design space exploration using machine learning techniques,.

MCP4EDA: LLM-Powered Model Context Protocol RTL-to-GDSII Automation with Backend Aware Synthesis Optimization Efficient system design space exploration using machine learning techniques,

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:21:44.161040Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T14:21:43.866776Z digest=sha256:6a9296ae6273636d3f27e04dc3581553ccce50ef5d8697f54466e0032e7ee9cf

Observation b6196884-e4d8-4e93-a911-77455063bbda · outbound

This paper cites Design-space exploration - an overview,.

MCP4EDA: LLM-Powered Model Context Protocol RTL-to-GDSII Automation with Backend Aware Synthesis Optimization Design-space exploration - an overview,

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:21:44.151765Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T14:21:43.868817Z digest=sha256:d2ef6bae68e16dece8ce3756ce81dacd154fc43dff277708e705001cbb316625

Observation e9a1be99-22dd-43cf-afa2-aa050777e1c2 · outbound

This paper cites A survey of research in large language models for electronic design automation,.

MCP4EDA: LLM-Powered Model Context Protocol RTL-to-GDSII Automation with Backend Aware Synthesis Optimization A survey of research in large language models for electronic design automation,

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-06T14:21:43.871205Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:21:43.871205Z digest=sha256:fede64182858ad4c6c984e886d6a974759bca021513e00f6a2d161016532bb98

Observation 6cfb3748-2011-4a42-b236-8e9169255e2e · outbound

This paper cites Verigen: A large language model for verilog code generation,.

MCP4EDA: LLM-Powered Model Context Protocol RTL-to-GDSII Automation with Backend Aware Synthesis Optimization Verigen: A large language model for verilog code generation,

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:21:44.143145Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T14:21:43.873291Z digest=sha256:66cd12eb692c1a123dc0543fbfb23ab4f07205358198fa9c248e87c54d5ad4d1

Observation c2a706e9-7c6e-4233-98c2-de7ca502a432 · outbound

This paper cites Benchmarking Large Language Models for Automated Verilog RTL Code Generation.

MCP4EDA: LLM-Powered Model Context Protocol RTL-to-GDSII Automation with Backend Aware Synthesis Optimization Benchmarking Large Language Models for Automated Verilog RTL Code Generation

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-06T14:21:43.875275Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:21:43.875275Z digest=sha256:f55179423714da39634270cebd29bbbfda7a222beec8f335d2ecd7a13c0dab2d

Observation 7c48bf39-da7c-4401-ad28-206de2e409dc · outbound

This paper cites Model context protocol specification,.

MCP4EDA: LLM-Powered Model Context Protocol RTL-to-GDSII Automation with Backend Aware Synthesis Optimization Model context protocol specification,

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:21:44.133390Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T14:21:43.877674Z digest=sha256:ee8bde297ddd973ccd4afa00d88856d651ece1e7a7eb85ebafcfdd0a59688225

Observation d2069ba2-ec2a-4e74-a4b1-9595cf8d68b8 · outbound

This paper cites Model Context Protocol (MCP): Landscape, Security Threats, and Future Research Directions.

MCP4EDA: LLM-Powered Model Context Protocol RTL-to-GDSII Automation with Backend Aware Synthesis Optimization Model Context Protocol (MCP): Landscape, Security Threats, and Future Research Directions

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-06T14:21:43.879784Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:21:43.879784Z digest=sha256:928cbef0a0956da3d1dbc8e01a9e5c6b36401b3cb380808bcef3d335862186b3

Observation 861f4c3f-ffc7-4ef9-86e8-63d0b0241242 · outbound

This paper cites Yosys-a free verilog synthesis suite,.

MCP4EDA: LLM-Powered Model Context Protocol RTL-to-GDSII Automation with Backend Aware Synthesis Optimization Yosys-a free verilog synthesis suite,

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:21:44.124610Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T14:21:43.881986Z digest=sha256:435cec9bf306e866aae93383b7e9924632c17479321c562452b1a47de6ca6588

Observation 3214cbd0-4e96-4b23-87bc-3d048b8f0462 · outbound

This paper cites ABC: An academic industrial-strength verification tool,.

MCP4EDA: LLM-Powered Model Context Protocol RTL-to-GDSII Automation with Backend Aware Synthesis Optimization ABC: An academic industrial-strength verification tool,

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:21:44.115738Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T14:21:43.884092Z digest=sha256:7a7acdc72c2276d2a4c6d47b43d4fdcb55f4ff4a0ecc0603eb4b0f1ae7d1729b

Observation 69ce288e-d546-4b94-94b5-cc3be38a1849 · outbound

This paper cites an unresolved cited work.

MCP4EDA: LLM-Powered Model Context Protocol RTL-to-GDSII Automation with Backend Aware Synthesis Optimization Unresolved cited work

Reference 30

Resolution
unresolved
raw_fallback, observed 2026-08-06T14:21:44.105655Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T14:21:43.886146Z digest=sha256:f05fb1d635ea2953d5117a670a72af5df79d9fb48527fc56f78e5ab16a8bb268

Observation 41e8f84d-7752-42fe-b1d8-c11ef59214c4 · outbound

This paper cites OpenCores,.

MCP4EDA: LLM-Powered Model Context Protocol RTL-to-GDSII Automation with Backend Aware Synthesis Optimization OpenCores,

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:21:44.097383Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T14:21:43.888518Z digest=sha256:6531fd4e2af0128777cb8e6c28bbacb5fe99885a11cdef9c6229cce8c94ee925

Pith citing papers

Observation 9ddff8cd-0f7a-45b5-a33a-973f4d07f105 · inbound

Bridging the Last Mile of Circuit Design: PostEDA-Bench, a Hierarchical Benchmark for PPA Convergence and DRC Fixing cites this paper.

Bridging the Last Mile of Circuit Design: PostEDA-Bench, a Hierarchical Benchmark for PPA Convergence and DRC Fixing MCP4EDA: LLM-Powered Model Context Protocol RTL-to-GDSII Automation with Backend Aware Synthesis Optimization

Reference 17

Resolution
verified exact
arxiv_id, observed 2026-05-11T04:50:57.291415Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-11T01:01:55.596476Z digest=sha256:5934e0236e088f2dccef1b6a354861e23bb1515e0344b8350b274c3087d91ca1

Observation d40befdd-ccce-48b5-bf31-bc6b5a92d88b · inbound

Bridging the Last Mile of Circuit Design: PostEDA-Bench, a Hierarchical Benchmark for PPA Convergence and DRC Fixing cites this paper.

Bridging the Last Mile of Circuit Design: PostEDA-Bench, a Hierarchical Benchmark for PPA Convergence and DRC Fixing MCP4EDA: LLM-Powered Model Context Protocol RTL-to-GDSII Automation with Backend Aware Synthesis Optimization

Reference 17

Resolution
verified exact
arxiv_id, observed 2026-05-25T06:55:26.247481Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-25T06:50:35.571290Z digest=sha256:e08abb644ed179e6c2ff5505b307d193eb89afb6eec9cc49db6ce999dccf9715

Observation 60edebd3-545a-4b96-a64d-4d4074c138cb · inbound

Bridging the Last Mile of Circuit Design: PostEDA-Bench, a Hierarchical Benchmark for PPA Convergence and DRC Fixing cites this paper.

Bridging the Last Mile of Circuit Design: PostEDA-Bench, a Hierarchical Benchmark for PPA Convergence and DRC Fixing MCP4EDA: LLM-Powered Model Context Protocol RTL-to-GDSII Automation with Backend Aware Synthesis Optimization

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-02T14:44:29.672890Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T14:44:29.672890Z digest=sha256:1c14ac31393b825dd4b59a4cf8dc4812c5477accb180ced5d66b5138b1ae436a

Observation 548b4a74-1273-48e8-b142-5ed70d74bdb0 · inbound

CHIA: An open-source framework for principled, agentic AI-driven hardware/software co-design research cites this paper.

CHIA: An open-source framework for principled, agentic AI-driven hardware/software co-design research MCP4EDA: LLM-Powered Model Context Protocol RTL-to-GDSII Automation with Backend Aware Synthesis Optimization

Reference 108

Resolution
verified exact
arxiv_id, observed 2026-07-04T15:09:55.505705Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-26T01:48:58.638094Z digest=sha256:f1f1e5d120a3f9406b06779593a79e8705d6fea59b6f2ac9da3b1d5e5cfdc289

Observation 28f3708b-7f9a-4a0d-bf67-42bd1a169e02 · inbound

CHIA: An open-source framework for principled, agentic AI-driven hardware/software co-design research cites this paper.

CHIA: An open-source framework for principled, agentic AI-driven hardware/software co-design research MCP4EDA: LLM-Powered Model Context Protocol RTL-to-GDSII Automation with Backend Aware Synthesis Optimization

Reference 109

Resolution
verified exact
arxiv_id, observed 2026-06-30T12:44:39.775143Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-30T10:15:10.471751Z digest=sha256:0933a8a1e8513077ca876662f7abbab5ce770c8d22d5bcd17fb5f8137245b807

Observation 2ac37fee-1c04-4d7c-9278-3dc6b8224d4c · inbound

CHIA: An open-source framework for principled, agentic AI-driven hardware/software co-design research cites this paper.

CHIA: An open-source framework for principled, agentic AI-driven hardware/software co-design research MCP4EDA: LLM-Powered Model Context Protocol RTL-to-GDSII Automation with Backend Aware Synthesis Optimization

Reference 104

Resolution
unresolved
no resolver link, observed 2026-08-02T10:03:40.496062Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T10:03:40.496062Z digest=sha256:25fd1108356154191d2f0fc10c92725702feb1bc31205b364aa5b4074a8a14cf

Observation 1c3b6424-e878-4c06-8570-6a7f61eca195 · inbound

PICopilot: An LLM-based Agentic Framework for Assisting Photonic Integrated Circuit Design via Script Generation cites this paper.

PICopilot: An LLM-based Agentic Framework for Assisting Photonic Integrated Circuit Design via Script Generation MCP4EDA: LLM-Powered Model Context Protocol RTL-to-GDSII Automation with Backend Aware Synthesis Optimization

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-04T20:50:45.030511Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T20:50:45.030511Z digest=sha256:4b9ccca52bdba24255602e64f9d86c4930c307ad3245dec944975ee1b5d5d6b0

Observation 514f6ee2-b575-406a-8af6-bdda9c860eed · inbound

PICopilot: An LLM-based Agentic Framework for Assisting Photonic Integrated Circuit Design via Script Generation cites this paper.

PICopilot: An LLM-based Agentic Framework for Assisting Photonic Integrated Circuit Design via Script Generation MCP4EDA: LLM-Powered Model Context Protocol RTL-to-GDSII Automation with Backend Aware Synthesis Optimization

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-07T00:13:00.325526Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:13:00.325526Z digest=sha256:892f35b4cdbb3f426220b6a05a888e7a3c32dfe40ba38690942f4ef9e142ca47

Observation 13f2a0b4-1bd0-4eaa-aba7-fbc84eb917ea · inbound

PICopilot: An LLM-based Agentic Framework for Assisting Photonic Integrated Circuit Design via Script Generation cites this paper.

PICopilot: An LLM-based Agentic Framework for Assisting Photonic Integrated Circuit Design via Script Generation MCP4EDA: LLM-Powered Model Context Protocol RTL-to-GDSII Automation with Backend Aware Synthesis Optimization

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-07T00:59:48.249015Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:59:48.249015Z digest=sha256:b85e18a15a34d419a06dc229c100ec9d3f0ae033f9d02988388702de90a27ccf