Paper Citation Record · LEDGER

MAGE: A Multi-Agent Engine for Automated RTL Code Generation

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 13 inbound Pith citation observations for arXiv:2412.07822.

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

pith.paper-citation-record.v1
2412.07822 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 13 of 13 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 13 of 13 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:16:43.526221Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T15:09:55.576790Z

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 6d2423c5-1d50-40f7-9950-e7d36abd573f · inbound

Large Processor Chip Model cites this paper.

Large Processor Chip Model MAGE: A Multi-Agent Engine for Automated RTL Code Generation

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-07T11:16:43.526221Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 93dc83e8-ed0d-4ebc-8aaa-ca4f8422cd79 · inbound

hdl2v: A Code Translation Dataset for Enhanced LLM Verilog Generation cites this paper.

hdl2v: A Code Translation Dataset for Enhanced LLM Verilog Generation MAGE: A Multi-Agent Engine for Automated RTL Code Generation

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-07T10:45:07.115605Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation efa75a61-7f40-4e16-8f3e-6bc7ec6816df · inbound

KVFlow: Efficient Prefix Caching for Accelerating LLM-Based Multi-Agent Workflows cites this paper.

KVFlow: Efficient Prefix Caching for Accelerating LLM-Based Multi-Agent Workflows MAGE: A Multi-Agent Engine for Automated RTL Code Generation

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-06T18:45:42.330477Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c60c5277-9a4e-45e9-9f56-2c4313d5b00f · inbound

TimingLLM: A Two-Stage Retrieval-Augmented Framework for Pre-Synthesis Timing Prediction from Verilog cites this paper.

TimingLLM: A Two-Stage Retrieval-Augmented Framework for Pre-Synthesis Timing Prediction from Verilog MAGE: A Multi-Agent Engine for Automated RTL Code Generation

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-05-11T21:31:14.786389Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 3aa1c1af-2018-418b-a264-d648c2fb86d0 · inbound

RTL-BenchMT: Dynamic Maintenance of RTL Generation Benchmark Through Agent-Assisted Analysis and Revision cites this paper.

RTL-BenchMT: Dynamic Maintenance of RTL Generation Benchmark Through Agent-Assisted Analysis and Revision MAGE: A Multi-Agent Engine for Automated RTL Code Generation

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-05-19T14:42:37.320878Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 31f23d3b-31d1-47e6-ad3f-821e139ba9a5 · inbound

Verilog-Evolve: Feedback-Driven and Skill-Evolving Verilog Generation cites this paper.

Verilog-Evolve: Feedback-Driven and Skill-Evolving Verilog Generation MAGE: A Multi-Agent Engine for Automated RTL Code Generation

Reference 28

Resolution: verified exact; arxiv_id, observed 2026-06-29T18:53:51.298662Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation f18ad902-cd5c-4117-9e3e-309e1eb3449a · inbound

CASS-RTL: Correctness-Aware Subspace Steering for RTL Generation with LLMs cites this paper.

CASS-RTL: Correctness-Aware Subspace Steering for RTL Generation with LLMs MAGE: A Multi-Agent Engine for Automated RTL Code Generation

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-07-02T15:57:07.372299Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 53944621-5fe4-4b25-bcbf-c99c07960f32 · inbound

RTL-BenchLS: A Large-Scale Benchmark for RTL Reasoning and Generation with Large Language Models cites this paper.

RTL-BenchLS: A Large-Scale Benchmark for RTL Reasoning and Generation with Large Language Models MAGE: A Multi-Agent Engine for Automated RTL Code Generation

Reference 38

Resolution: verified exact; arxiv_id, observed 2026-07-03T00:47:30.498647Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation b373dcc1-8c8f-487b-99d4-b8c4abdafbd6 · 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 MAGE: A Multi-Agent Engine for Automated RTL Code Generation

Reference 118

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T15:09:55.578733Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 3b0e7c6a-750d-435c-aedf-07d1a251ef0b · 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 MAGE: A Multi-Agent Engine for Automated RTL Code Generation

Reference 119

Resolution: metadata mismatch; arxiv_id, observed 2026-06-30T12:44:39.738936Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 111834b7-eb62-46d1-a865-4eab2ebc1127 · 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 MAGE: A Multi-Agent Engine for Automated RTL Code Generation

Reference 119

Resolution: unresolved; no resolver link, observed 2026-08-02T10:03:40.535080Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 03d6e41f-171f-488f-8fe6-f752c9d5c8d6 · inbound

Agentic Hardware Design as Repository-Level Code Evolution cites this paper.

Agentic Hardware Design as Repository-Level Code Evolution MAGE: A Multi-Agent Engine for Automated RTL Code Generation

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-07-01T18:45:58.330403Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation a357c2a9-af11-44b1-ad78-c109453dd047 · inbound

Architectural Implications of Agentic AI Workflows cites this paper.

Architectural Implications of Agentic AI Workflows MAGE: A Multi-Agent Engine for Automated RTL Code Generation

Reference 82

Resolution: unresolved; no resolver link, observed 2026-08-06T23:49:21.149678Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.