Paper Citation Record · LEDGER

Make Every Move Count: LLM-based High-Quality RTL Code Generation Using MCTS

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 17 inbound Pith citation observations for arXiv:2402.03289.

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

pith.paper-citation-record.v1
2402.03289 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 17 of 17 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 17 of 17 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T13:27:04.800026Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T11:26:54.350822Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation d1dcbdf0-a3c6-4be9-b4f9-5214ac786f34 · inbound

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

UVLLM: An Automated Universal RTL Verification Framework using LLMs Make Every Move Count: LLM-based High-Quality RTL Code Generation Using MCTS

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-12T13:27:04.800026Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6192e040-4c64-4762-9b8e-11e708f66880 · inbound

Monte Carlo Tree Search for Comprehensive Exploration in LLM-Based Automatic Heuristic Design cites this paper.

Monte Carlo Tree Search for Comprehensive Exploration in LLM-Based Automatic Heuristic Design Make Every Move Count: LLM-based High-Quality RTL Code Generation Using MCTS

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-10T20:26:29.136716Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 55720e96-b8d6-4b57-8b96-cf184ea32fb8 · inbound

A Survey of Research in Large Language Models for Electronic Design Automation cites this paper.

A Survey of Research in Large Language Models for Electronic Design Automation Make Every Move Count: LLM-based High-Quality RTL Code Generation Using MCTS

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-10T19:49:55.497135Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2ad8f5d2-9f3d-4e39-bd3b-bef64c88cc7e · inbound

Can We Generate Images with CoT? Let's Verify and Reinforce Image Generation Step by Step cites this paper.

Can We Generate Images with CoT? Let's Verify and Reinforce Image Generation Step by Step Make Every Move Count: LLM-based High-Quality RTL Code Generation Using MCTS

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-10T15:32:46.358123Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 369601cc-f9c9-47ce-a1f6-1b54753b72e8 · inbound

From Concept to Practice: an Automated LLM-aided UVM Machine for RTL Verification cites this paper.

From Concept to Practice: an Automated LLM-aided UVM Machine for RTL Verification Make Every Move Count: LLM-based High-Quality RTL Code Generation Using MCTS

Reference 29

Resolution: verified exact; arxiv_id, observed 2026-05-22T18:01:54.473377Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 3f1a4fe0-a4b3-4ebf-a038-785f8326e3e9 · inbound

Spec2RTL-Agent: Automated Hardware Code Generation from Complex Specifications Using LLM Agent Systems cites this paper.

Spec2RTL-Agent: Automated Hardware Code Generation from Complex Specifications Using LLM Agent Systems Make Every Move Count: LLM-based High-Quality RTL Code Generation Using MCTS

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-07T00:31:00.609981Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e4e2fe84-5046-4326-b656-255c34711c6a · inbound

ChipSeek: Optimizing Verilog Generation via EDA-Integrated Reinforcement Learning cites this paper.

ChipSeek: Optimizing Verilog Generation via EDA-Integrated Reinforcement Learning Make Every Move Count: LLM-based High-Quality RTL Code Generation Using MCTS

Reference 31

Resolution: verified exact; arxiv_id, observed 2026-05-19T06:52:08.340207Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation af43cb1d-c51d-4b0e-ac70-3883be5cc64c · inbound

VeriOpt: PPA-Aware High-Quality Verilog Generation via Multi-Role LLMs cites this paper.

VeriOpt: PPA-Aware High-Quality Verilog Generation via Multi-Role LLMs Make Every Move Count: LLM-based High-Quality RTL Code Generation Using MCTS

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-06T15:51:34.497654Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9d78ba97-106d-4bbf-b7c1-0f6d9c6e01ef · inbound

Dr. RTL: Autonomous Agentic RTL Optimization through Tool-Grounded Self-Improvement cites this paper.

Dr. RTL: Autonomous Agentic RTL Optimization through Tool-Grounded Self-Improvement Make Every Move Count: LLM-based High-Quality RTL Code Generation Using MCTS

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-05-10T10:49:56.144826Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 3820a852-666b-4c3a-aa80-70d442737c8d · inbound

ARIADNE: Agentic Reward-Informed Adaptive Decision Exploration via Blackboard-Driven MCTS for Competitive Program Generation cites this paper.

ARIADNE: Agentic Reward-Informed Adaptive Decision Exploration via Blackboard-Driven MCTS for Competitive Program Generation Make Every Move Count: LLM-based High-Quality RTL Code Generation Using MCTS

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-09T06:55:42.806344Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 98e0710d-a095-40b1-820b-0b862bdd37f5 · inbound

LLMs for Secure Hardware Design and Related Problems: Opportunities and Challenges cites this paper.

LLMs for Secure Hardware Design and Related Problems: Opportunities and Challenges Make Every Move Count: LLM-based High-Quality RTL Code Generation Using MCTS

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-12T06:51:26.516610Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 06ada91e-3772-4922-a22d-541d50dbca12 · inbound

LLMs for Secure Hardware Design and Related Problems: Opportunities and Challenges cites this paper.

LLMs for Secure Hardware Design and Related Problems: Opportunities and Challenges Make Every Move Count: LLM-based High-Quality RTL Code Generation Using MCTS

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-14T21:12:58.732233Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation b62fb439-bbb5-4ce7-88ee-3871a9b4a95d · inbound

LLMs for Secure Hardware Design and Related Problems: Opportunities and Challenges cites this paper.

LLMs for Secure Hardware Design and Related Problems: Opportunities and Challenges Make Every Move Count: LLM-based High-Quality RTL Code Generation Using MCTS

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-21T08:59:55.413370Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 6aad461c-3e86-4873-b72f-9443c4c50da9 · inbound

LLMs for Secure Hardware Design and Related Problems: Opportunities and Challenges cites this paper.

LLMs for Secure Hardware Design and Related Problems: Opportunities and Challenges Make Every Move Count: LLM-based High-Quality RTL Code Generation Using MCTS

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-07-01T14:05:46.807555Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 45e8283a-f7e7-4ba8-8589-a84a87723704 · inbound

RTLScout: Joint Agentic Code and Synthesis Optimization for Efficient Digital Circuits cites this paper.

RTLScout: Joint Agentic Code and Synthesis Optimization for Efficient Digital Circuits Make Every Move Count: LLM-based High-Quality RTL Code Generation Using MCTS

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-07-02T11:26:54.352561Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 41c6e913-4222-4abc-a9c7-06c2a20c5e47 · inbound

Hardware Design and Security in the Era of Chiplets and LLMs cites this paper.

Hardware Design and Security in the Era of Chiplets and LLMs Make Every Move Count: LLM-based High-Quality RTL Code Generation Using MCTS

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-06T10:13:17.736131Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ed4fbba4-9903-4691-99e9-4fe7327e94f3 · inbound

HINT: Toward an Executable Hardware-Intent Representation Layer for LLM-Driven RTL Generation cites this paper.

HINT: Toward an Executable Hardware-Intent Representation Layer for LLM-Driven RTL Generation Make Every Move Count: LLM-based High-Quality RTL Code Generation Using MCTS

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-11T00:34:19.049842Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.