Paper Citation Record · LEDGER

Towards Optimal Circuit Generation: Multi-Agent Collaboration Meets Collective Intelligence

As of 17 August 2026, this Paper Citation Record lists 30 of 30 outbound references and 0 inbound Pith citation observations for arXiv:2504.14625.

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

pith.paper-citation-record.v1
2504.14625 v3

Coverage vector

measured 30 of 30 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:48:57.618085Z

measured 30 of 30 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+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 exact2
verified fuzzy6
unresolved22
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 6c0e2d22-90d5-4372-928f-42d5a86d75f0 · outbound

This paper cites Turingcomplete game,.

Towards Optimal Circuit Generation: Multi-Agent Collaboration Meets Collective Intelligence Turingcomplete game,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:48:58.046469Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 20867a09-325c-462e-8465-35407ff2d351 · outbound

This paper cites Yosys open synthesis suite,.

Towards Optimal Circuit Generation: Multi-Agent Collaboration Meets Collective Intelligence Yosys open synthesis suite,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-16T11:48:57.514105Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d785cdd1-c236-4423-a524-68bec0aa8ec9 · outbound

This paper cites Phi-4 Technical Report.

Towards Optimal Circuit Generation: Multi-Agent Collaboration Meets Collective Intelligence Phi-4 Technical Report

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-16T11:48:57.517770Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e1312ab0-41bd-43e3-91d4-095718180cee · outbound

This paper cites GPT-4 Technical Report.

Towards Optimal Circuit Generation: Multi-Agent Collaboration Meets Collective Intelligence GPT-4 Technical Report

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-16T11:48:57.522365Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9344bc91-12db-4743-afda-42d3434dd478 · outbound

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

Towards Optimal Circuit Generation: Multi-Agent Collaboration Meets Collective Intelligence Abc: An academic industrial-strength verification tool,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:48:58.029107Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 3359ca1b-4f19-4521-81ca-de6ccfc21175 · outbound

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

Towards Optimal Circuit Generation: Multi-Agent Collaboration Meets Collective Intelligence Verigen: A large language model for verilog code generation,

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-16T11:48:57.534739Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1c596bc7-9bf5-49d2-aac7-a2dea84cbcf9 · outbound

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

Towards Optimal Circuit Generation: Multi-Agent Collaboration Meets Collective Intelligence Rtl- coder: Fully open-source and efficient llm-assisted rtl code generation technique,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-16T11:48:57.538214Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 20236ea1-d767-4ba9-83b3-7005c295e8bd · outbound

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

Towards Optimal Circuit Generation: Multi-Agent Collaboration Meets Collective Intelligence Verilogeval: Evaluating large language models for verilog code generation,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-16T11:48:57.541816Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 80364b39-0e3a-474c-89a0-23eb7e9ddf06 · outbound

This paper cites Pyranet: A multi-layered hierarchical dataset for verilog,.

Towards Optimal Circuit Generation: Multi-Agent Collaboration Meets Collective Intelligence Pyranet: A multi-layered hierarchical dataset for verilog,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-16T11:48:57.545413Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6f31cc0e-980e-47d1-bcc8-76905d76a2be · outbound

This paper cites MAGE: A Multi-Agent Engine for Automated RTL Code Generation.

Towards Optimal Circuit Generation: Multi-Agent Collaboration Meets Collective Intelligence MAGE: A Multi-Agent Engine for Automated RTL Code Generation

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-16T11:48:57.548989Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 065a3d6f-2388-47b8-bcfc-f217271e911d · outbound

This paper cites AIvril: AI-Driven RTL Generation With Verification In-The-Loop.

Towards Optimal Circuit Generation: Multi-Agent Collaboration Meets Collective Intelligence AIvril: AI-Driven RTL Generation With Verification In-The-Loop

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-16T11:48:57.552887Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation da9d11af-4eb0-4526-911b-c9872dcdf62f · outbound

This paper cites BetterV: Controlled Verilog Generation with Discriminative Guidance.

Towards Optimal Circuit Generation: Multi-Agent Collaboration Meets Collective Intelligence BetterV: Controlled Verilog Generation with Discriminative Guidance

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-16T11:48:57.557071Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 41e5fbf4-a662-4324-8cb6-dc373464e236 · outbound

This paper cites CodeV: Empowering LLMs with HDL Generation through Multi-Level Summarization.

Towards Optimal Circuit Generation: Multi-Agent Collaboration Meets Collective Intelligence CodeV: Empowering LLMs with HDL Generation through Multi-Level Summarization

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-16T11:48:57.561073Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fe32514f-7b33-4bea-ac88-a88b92ce7e99 · outbound

This paper cites RTLSquad: Multi-Agent Based Interpretable RTL Design.

Towards Optimal Circuit Generation: Multi-Agent Collaboration Meets Collective Intelligence RTLSquad: Multi-Agent Based Interpretable RTL Design

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-16T11:48:57.564844Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b44ce4e5-a0e2-4386-a248-a44dd5beab7a · outbound

This paper cites GenEDA: Towards Generative Netlist Functional Reasoning via Cross-Modal Circuit Encoder-Decoder Alignment.

Towards Optimal Circuit Generation: Multi-Agent Collaboration Meets Collective Intelligence GenEDA: Towards Generative Netlist Functional Reasoning via Cross-Modal Circuit Encoder-Decoder Alignment

Reference 15

Resolution: verified exact; local_arxiv, observed 2026-08-16T11:48:57.779073Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation f2391c87-c19a-4e68-9fc2-b8a400085c10 · outbound

This paper cites Hivegen– hierarchical llm-based verilog generation for scalable chip design,.

Towards Optimal Circuit Generation: Multi-Agent Collaboration Meets Collective Intelligence Hivegen– hierarchical llm-based verilog generation for scalable chip design,

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-16T11:48:57.572550Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e1bd1937-b2ac-4c44-bf98-2e274bc58896 · outbound

This paper cites CoopetitiveV: Leveraging LLM-powered Coopetitive Multi-Agent Prompting for High-quality Verilog Generation.

Towards Optimal Circuit Generation: Multi-Agent Collaboration Meets Collective Intelligence CoopetitiveV: Leveraging LLM-powered Coopetitive Multi-Agent Prompting for High-quality Verilog Generation

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-16T11:48:57.575931Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c708fe2a-e5f6-48e4-9011-50812550ae74 · outbound

This paper cites The problem of simplifying truth functions,.

Towards Optimal Circuit Generation: Multi-Agent Collaboration Meets Collective Intelligence The problem of simplifying truth functions,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:48:57.988450Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation b03295c2-4ab9-49a7-86d1-1fe3e566e01f · outbound

This paper cites Rtllm: An open-source benchmark for design rtl generation with large language model,.

Towards Optimal Circuit Generation: Multi-Agent Collaboration Meets Collective Intelligence Rtllm: An open-source benchmark for design rtl generation with large language model,

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-16T11:48:57.583528Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8255b58a-eec5-4ce9-97f7-58da4e25ea02 · outbound

This paper cites ResBench: Benchmarking LLM-Generated FPGA Designs with Resource Awareness.

Towards Optimal Circuit Generation: Multi-Agent Collaboration Meets Collective Intelligence ResBench: Benchmarking LLM-Generated FPGA Designs with Resource Awareness

Reference 20

Resolution: verified exact; local_arxiv, observed 2026-08-16T11:48:57.699041Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation e09dad9a-5d9b-4754-b3e1-a8b5886cef78 · outbound

This paper cites Genben: A genarative benchmark for llm-aided design.

Towards Optimal Circuit Generation: Multi-Agent Collaboration Meets Collective Intelligence Genben: A genarative benchmark for llm-aided design

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:48:57.968930Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 57ccd3d2-6ca6-4141-9ae1-c08ed4986e7a · outbound

This paper cites an unresolved cited work.

Towards Optimal Circuit Generation: Multi-Agent Collaboration Meets Collective Intelligence Unresolved cited work

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-16T11:48:57.530651Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e0c556fc-1498-4392-82e2-50ceebbf3592 · outbound

This paper cites Rtl-repo: A benchmark for evaluating llms on large-scale rtl design projects,.

Towards Optimal Circuit Generation: Multi-Agent Collaboration Meets Collective Intelligence Rtl-repo: A benchmark for evaluating llms on large-scale rtl design projects,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:48:57.957184Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 3617704d-a659-4c32-892d-d2af432ec6a3 · outbound

This paper cites Retrieval-augmented generation for knowledge- intensive nlp tasks,.

Towards Optimal Circuit Generation: Multi-Agent Collaboration Meets Collective Intelligence Retrieval-augmented generation for knowledge- intensive nlp tasks,

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-16T11:48:57.597544Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 205dd65d-cca1-46b4-ae2f-6789308e730f · outbound

This paper cites DeepSeek-V3 Technical Report.

Towards Optimal Circuit Generation: Multi-Agent Collaboration Meets Collective Intelligence DeepSeek-V3 Technical Report

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-16T11:48:57.607024Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b997a862-5279-442d-b347-355e8de45742 · outbound

This paper cites Qwen2.5 Technical Report.

Towards Optimal Circuit Generation: Multi-Agent Collaboration Meets Collective Intelligence Qwen2.5 Technical Report

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-16T11:48:57.603376Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b6322e8a-1733-4a54-98d0-af46d1b31f41 · outbound

This paper cites Gemini 2.0 flash experimental.

Towards Optimal Circuit Generation: Multi-Agent Collaboration Meets Collective Intelligence Gemini 2.0 flash experimental

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:48:57.930343Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 9b0b19ec-5ac3-49fd-9c3d-d6b79b7ef497 · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

Towards Optimal Circuit Generation: Multi-Agent Collaboration Meets Collective Intelligence DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-16T11:48:57.610772Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e6fa29d5-9c98-4029-80ea-e5c77626c381 · outbound

This paper cites Evaluating Large Language Models Trained on Code.

Towards Optimal Circuit Generation: Multi-Agent Collaboration Meets Collective Intelligence Evaluating Large Language Models Trained on Code

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-16T11:48:57.618085Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d9325d21-721f-4b14-9540-2dd3d1476a20 · outbound

This paper cites Available: https://proceedings.neurips.cc/paper files/ paper/2020/file/6b493230205f780e1bc26945df7481e5-Paper.pdf.

Towards Optimal Circuit Generation: Multi-Agent Collaboration Meets Collective Intelligence Available: https://proceedings.neurips.cc/paper files/ paper/2020/file/6b493230205f780e1bc26945df7481e5-Paper.pdf

Reference 9474

Resolution: unresolved; no resolver link, observed 2026-08-16T11:48:57.600545Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.