Paper Citation Record · LEDGER

GPT4AIGChip: Towards Next-Generation AI Accelerator Design Automation via Large Language Models

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2309.10730.

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

pith.paper-citation-record.v1
2309.10730 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:50:02.550665Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-22T10:21:24.148712Z

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 c8a82034-3402-4ada-8095-0e13ed35f3ee · inbound

C2HLSC: Leveraging Large Language Models to Bridge the Software-to-Hardware Design Gap cites this paper.

C2HLSC: Leveraging Large Language Models to Bridge the Software-to-Hardware Design Gap GPT4AIGChip: Towards Next-Generation AI Accelerator Design Automation via Large Language Models

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-12T05:41:30.939641Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 920540c9-098d-4380-a3d9-6b93b0fceede · inbound

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

VeriReason: Reinforcement Learning with Testbench Feedback for Reasoning-Enhanced Verilog Generation GPT4AIGChip: Towards Next-Generation AI Accelerator Design Automation via Large Language Models

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-15T20:50:02.550665Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ebf9e119-eb7c-485a-b6b8-f21b0756c92a · 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 GPT4AIGChip: Towards Next-Generation AI Accelerator Design Automation via Large Language Models

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-07T00:31:00.452289Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a40c8f43-16ff-49be-b6d7-1ef5032d8f52 · inbound

Spec2Cov: An Agentic Framework for Code Coverage Closure of Digital Hardware Designs cites this paper.

Spec2Cov: An Agentic Framework for Code Coverage Closure of Digital Hardware Designs GPT4AIGChip: Towards Next-Generation AI Accelerator Design Automation via Large Language Models

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-10T08:17:37.534671Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 5c091947-2847-45fb-a8b1-278c949de0ff · inbound

Spec2Cov: An Agentic Framework for Code Coverage Closure of Digital Hardware Designs cites this paper.

Spec2Cov: An Agentic Framework for Code Coverage Closure of Digital Hardware Designs GPT4AIGChip: Towards Next-Generation AI Accelerator Design Automation via Large Language Models

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-22T10:21:24.152522Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation e9c5f119-92c5-460c-a147-ea23d58c1908 · inbound

Understanding Inference-Time Token Allocation and Coverage Limits in Agentic Hardware Verification cites this paper.

Understanding Inference-Time Token Allocation and Coverage Limits in Agentic Hardware Verification GPT4AIGChip: Towards Next-Generation AI Accelerator Design Automation via Large Language Models

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-10T08:02:25.017166Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.