Paper Citation Record · LEDGER

Can AI Agents Really Complete RTL-to-GDS? Lessons from Benchmarking Tool-Interactive EDA Workflows

As of 7 August 2026, this Paper Citation Record lists 17 of 17 outbound references and 1 inbound Pith citation observation for arXiv:2607.17528.

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

pith.paper-citation-record.v1
2607.17528 v3

Coverage vector

measured 17 of 17 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T17:46:04.473092Z

measured 18 of 18 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T13:48:50.509093Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T13:48:53.983350Z

Reference resolution

17 of 17 outbound references displayed

verified exact0
verified fuzzy0
unresolved17
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 7f4e83e4-3a0f-48d5-9dbf-747ddcec05dd · outbound

This paper cites an unresolved cited work.

Can AI Agents Really Complete RTL-to-GDS? Lessons from Benchmarking Tool-Interactive EDA Workflows Unresolved cited work

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-01T17:46:03.286483Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation db98a877-9e9a-4d26-a6b8-ecaff3360180 · outbound

This paper cites an unresolved cited work.

Can AI Agents Really Complete RTL-to-GDS? Lessons from Benchmarking Tool-Interactive EDA Workflows Unresolved cited work

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-01T17:46:03.448704Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ab8db8a8-02c2-488a-9db8-2c5c35fd9006 · outbound

This paper cites an unresolved cited work.

Can AI Agents Really Complete RTL-to-GDS? Lessons from Benchmarking Tool-Interactive EDA Workflows Unresolved cited work

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-01T17:46:03.518123Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 65d17b85-a7e2-446e-86a9-5b7f55000e75 · outbound

This paper cites an unresolved cited work.

Can AI Agents Really Complete RTL-to-GDS? Lessons from Benchmarking Tool-Interactive EDA Workflows Unresolved cited work

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-01T17:46:03.574090Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 61af0502-5280-4540-af24-2e25e74dc7ce · outbound

This paper cites an unresolved cited work.

Can AI Agents Really Complete RTL-to-GDS? Lessons from Benchmarking Tool-Interactive EDA Workflows Unresolved cited work

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-01T17:46:03.719059Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a2a04a83-78e9-4ae1-b346-d4bd5c8021d8 · outbound

This paper cites RealBench: Benchmarking Verilog Generation Models with Real-World IP Designs.

Can AI Agents Really Complete RTL-to-GDS? Lessons from Benchmarking Tool-Interactive EDA Workflows RealBench: Benchmarking Verilog Generation Models with Real-World IP Designs

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-01T17:46:03.778892Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 28321b47-e9fe-47fe-9f48-182dd723dc13 · outbound

This paper cites an unresolved cited work.

Can AI Agents Really Complete RTL-to-GDS? Lessons from Benchmarking Tool-Interactive EDA Workflows Unresolved cited work

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-01T17:46:03.818974Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1baac217-4a43-40e9-8c35-735c900a0687 · outbound

This paper cites an unresolved cited work.

Can AI Agents Really Complete RTL-to-GDS? Lessons from Benchmarking Tool-Interactive EDA Workflows Unresolved cited work

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-01T17:46:03.878294Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 80994884-2d31-468b-9211-835286d250b9 · outbound

This paper cites an unresolved cited work.

Can AI Agents Really Complete RTL-to-GDS? Lessons from Benchmarking Tool-Interactive EDA Workflows Unresolved cited work

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-01T17:46:03.948986Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8b681049-29ef-4bbd-bbf9-73e73ce6868e · outbound

This paper cites an unresolved cited work.

Can AI Agents Really Complete RTL-to-GDS? Lessons from Benchmarking Tool-Interactive EDA Workflows Unresolved cited work

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-01T17:46:03.995194Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1c791175-4f57-49b6-a500-c8c73ff05263 · outbound

This paper cites Comprehensive Verilog Design Problems: A Next-Generation Benchmark Dataset for Evaluating Large Language Models and Agents on RTL Design and Verification.

Can AI Agents Really Complete RTL-to-GDS? Lessons from Benchmarking Tool-Interactive EDA Workflows Comprehensive Verilog Design Problems: A Next-Generation Benchmark Dataset for Evaluating Large Language Models and Agents on RTL Design and Verification

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-01T17:46:04.086561Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b6b8590f-45ce-4f47-9130-59217bf01683 · outbound

This paper cites an unresolved cited work.

Can AI Agents Really Complete RTL-to-GDS? Lessons from Benchmarking Tool-Interactive EDA Workflows Unresolved cited work

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-01T17:46:04.148210Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4b805774-f747-4bf4-a9e6-6a6a00a0dd9f · outbound

This paper cites an unresolved cited work.

Can AI Agents Really Complete RTL-to-GDS? Lessons from Benchmarking Tool-Interactive EDA Workflows Unresolved cited work

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-01T17:46:04.216253Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bc092064-68d2-44a0-b8b6-b96a4075bbe5 · outbound

This paper cites an unresolved cited work.

Can AI Agents Really Complete RTL-to-GDS? Lessons from Benchmarking Tool-Interactive EDA Workflows Unresolved cited work

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-01T17:46:04.282059Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 84b1454b-d161-4646-8520-98f853688e7a · outbound

This paper cites an unresolved cited work.

Can AI Agents Really Complete RTL-to-GDS? Lessons from Benchmarking Tool-Interactive EDA Workflows Unresolved cited work

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-01T17:46:04.340143Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9d213320-7245-44d6-8ff1-268e8f517ef7 · outbound

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

Can AI Agents Really Complete RTL-to-GDS? Lessons from Benchmarking Tool-Interactive EDA Workflows LLM4EDA: Emerging Progress in Large Language Models for Electronic Design Automation

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-01T17:46:04.473092Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1d7bf549-cbf1-4a0f-8188-0f74d9b904a7 · outbound

This paper cites arXiv preprint arXiv:2606.19348(2026).

Can AI Agents Really Complete RTL-to-GDS? Lessons from Benchmarking Tool-Interactive EDA Workflows arXiv preprint arXiv:2606.19348(2026)

Reference 2026

Resolution: unresolved; no resolver link, observed 2026-08-01T17:46:03.664616Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation a05268b0-81b1-4f90-9f52-fa62a744525e · inbound

AgenticECO: An Agentic Framework for ECO on 3D Integrated Circuits cites this paper.

AgenticECO: An Agentic Framework for ECO on 3D Integrated Circuits Can AI Agents Really Complete RTL-to-GDS? Lessons from Benchmarking Tool-Interactive EDA Workflows

Reference 2026

Resolution: metadata mismatch; local_arxiv, observed 2026-08-05T13:48:54.092718Z

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.