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Paper Citation Record · LEDGER

AutoChip: Automating HDL Generation Using LLM Feedback

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 28 inbound Pith citation observations for arXiv:2311.04887.

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

pith.paper-citation-record.v1
2311.04887 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 28 of 28 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 28 of 28 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T10:34:04.871248Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

17
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 8e4f31c3-c924-4c78-b0cf-396b36af10f2 · inbound

QiMeng: Fully Automated Hardware and Software Design for Processor Chip cites this paper.

QiMeng: Fully Automated Hardware and Software Design for Processor Chip AutoChip: Automating HDL Generation Using LLM Feedback

Reference 122

Resolution
unresolved
no resolver link, observed 2026-08-07T10:34:04.871248Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:34:04.871248Z digest=sha256:75b1ec48c9272a19d311004d2059dea904e8a0418b1257dd1e19bd0462c454b8

Observation 3253158b-67d5-4e58-86b7-358c39133521 · inbound

Tools and Methodologies for System-Level Design cites this paper.

Tools and Methodologies for System-Level Design AutoChip: Automating HDL Generation Using LLM Feedback

Reference 93

Resolution
unresolved
no resolver link, observed 2026-08-06T17:54:18.040748Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:54:18.040748Z digest=sha256:9de3aab6fcca319c51d6c9723a8912e946368fed75bd6365d5af71bd3551e281

Observation 2c03ee3c-32d0-430b-bc7f-c4a82d542620 · inbound

VerilogDB: The Largest, Highest-Quality Dataset with a Preprocessing Framework for LLM-based RTL Generation cites this paper.

VerilogDB: The Largest, Highest-Quality Dataset with a Preprocessing Framework for LLM-based RTL Generation AutoChip: Automating HDL Generation Using LLM Feedback

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-06T18:54:07.092977Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:54:07.092977Z digest=sha256:95d414acc901761945e8fd409c15c47d65e6178f869da9e6e0d396b3f92013bc

Observation 2ee24dd8-da72-4218-9edd-eb7b6fbc3eb1 · inbound

MMCircuitEval: A Comprehensive Multimodal Circuit-Focused Benchmark for Evaluating LLMs cites this paper.

MMCircuitEval: A Comprehensive Multimodal Circuit-Focused Benchmark for Evaluating LLMs AutoChip: Automating HDL Generation Using LLM Feedback

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-06T15:51:17.000553Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:51:17.000553Z digest=sha256:838bf23f51b03a6ef2f00aae642feccb4ec3a64c68b8e375a0262101a00bb79b

Observation 5ff3cee7-c98d-4e92-8dbe-b2288c7b4a5b · inbound

EvoVerilog: Large Langugage Model Assisted Evolution of Verilog Code cites this paper.

EvoVerilog: Large Langugage Model Assisted Evolution of Verilog Code AutoChip: Automating HDL Generation Using LLM Feedback

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-06T22:33:17.305692Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:33:17.305692Z digest=sha256:d79c1b83c494a79612d8413c824804ad195334ef0ae4dd9ba3644c768a9d696f

Observation ed0691f0-4c50-4e50-84f9-d6651403214d · inbound

FedChip: Federated LLM for Artificial Intelligence Accelerator Chip Design cites this paper.

FedChip: Federated LLM for Artificial Intelligence Accelerator Chip Design AutoChip: Automating HDL Generation Using LLM Feedback

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-06T14:49:56.535191Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:49:56.535191Z digest=sha256:9bbc41a592d68601ab747625ddba04b1fb95ed8be038559572cce4d0e8d9ae77

Observation 940ad1a5-aa06-439e-861b-192380c0f889 · inbound

Revolution or Hype? Seeking the Limits of Large Models in Hardware Design cites this paper.

Revolution or Hype? Seeking the Limits of Large Models in Hardware Design AutoChip: Automating HDL Generation Using LLM Feedback

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-05T05:50:29.879093Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T05:50:29.879093Z digest=sha256:08374882f00652bd654e06fc498f951c420b2db3a4c722f03076191906fd870f

Observation 81053871-d0f4-485d-94aa-d42267425767 · inbound

AutoVeriFix: Automatically Correcting Errors and Enhancing Functional Correctness in LLM-Generated Verilog Code cites this paper.

AutoVeriFix: Automatically Correcting Errors and Enhancing Functional Correctness in LLM-Generated Verilog Code AutoChip: Automating HDL Generation Using LLM Feedback

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-04T20:43:13.684192Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T20:43:13.684192Z digest=sha256:8e32651060d7ca49dce139d3eed41f127acd934cbce0fcba65c086e4103d86bc

Observation f3861127-de6f-4d8c-a7cd-e86656ce479e · inbound

MACO: A Multi-Agent LLM Framework for Automated CGRA Hardware/Software Co-Design cites this paper.

MACO: A Multi-Agent LLM Framework for Automated CGRA Hardware/Software Co-Design AutoChip: Automating HDL Generation Using LLM Feedback

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-04T16:31:32.445011Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T16:31:32.445011Z digest=sha256:1464cc0ff81c864cc0f5b55e59ba8b0eae8a1e3b9e005381209dbbdd5604a935

Observation fb9aa621-83b8-42e8-a0c7-3d94c8847e6b · inbound

From Natural Language to Silicon: The Representation Bottleneck in LLM Hardware Design cites this paper.

From Natural Language to Silicon: The Representation Bottleneck in LLM Hardware Design AutoChip: Automating HDL Generation Using LLM Feedback

Reference 17

Resolution
verified exact
arxiv_id, observed 2026-05-10T06:06:18.442613Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T06:05:50.615357Z digest=sha256:3c9636fc145d78433ba6d696d18e4da4d5ec351dda38319042153189f6415a0f

Observation 34e88bd3-f00c-4f8b-9ea9-1797e3ec6454 · inbound

VerilogCL: A Contrastive Learning Framework for Robust LLM-Based Verilog Generation cites this paper.

VerilogCL: A Contrastive Learning Framework for Robust LLM-Based Verilog Generation AutoChip: Automating HDL Generation Using LLM Feedback

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-05-11T12:11:06.944979Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T04:04:47.376762Z digest=sha256:750a9c4e5486b616a1b9363f2bea97b6184e9efab2f45f47d74fa990636a7433

Observation c1a72df5-5805-447d-b44f-9cd15216ed3d · inbound

ChipCraftBrain: Validation-First RTL Generation via Multi-Agent Orchestration cites this paper.

ChipCraftBrain: Validation-First RTL Generation via Multi-Agent Orchestration AutoChip: Automating HDL Generation Using LLM Feedback

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-05-11T13:36:08.338841Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T01:24:08.563327Z digest=sha256:8c6b1a1fdd64d592998d7722a2aa88f4aaa5d5b939efc0fe55f467714102be8b

Observation fd0a3cf2-15d8-4a5b-b2b2-7c05f22acebb · inbound

AnalogMaster: Large Language Model-based Automated Analog IC Design Framework from Image to Layout cites this paper.

AnalogMaster: Large Language Model-based Automated Analog IC Design Framework from Image to Layout AutoChip: Automating HDL Generation Using LLM Feedback

Reference 15

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T13:51:05.010781Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-09T23:56:04.088492Z digest=sha256:e86394be01a79283c530754f969be3eca5c236b8fdcfa0350b2dd79f7163b86d

Observation c3d9d45e-ef5d-48e0-b56e-8734ace5d7ac · inbound

LEGO: An LLM Skill-Based Front-End Design Generation Platform cites this paper.

LEGO: An LLM Skill-Based Front-End Design Generation Platform AutoChip: Automating HDL Generation Using LLM Feedback

Reference 26

Resolution
verified exact
arxiv_id, observed 2026-05-11T20:41:10.254229Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-08T08:22:04.845485Z digest=sha256:e61bff281c4eaef1fa554771d7bf3be903667e737555d0feaef3362590821be6

Observation 15294d9b-5e76-4ab0-a689-e58456b7d040 · inbound

LEGO: An LLM Skill-Based Front-End Design Generation Platform cites this paper.

LEGO: An LLM Skill-Based Front-End Design Generation Platform AutoChip: Automating HDL Generation Using LLM Feedback

Reference 26

Resolution
verified exact
arxiv_id, observed 2026-05-21T09:19:56.711478Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-21T09:15:26.963601Z digest=sha256:b4278252df99ba11ceca457a5404c37539f202bc74936f40ca912b14a2f0ca72

Observation 90244040-d234-497e-9eed-58b8597a7ad1 · inbound

ROSUM-MCTS: Monte Carlo Tree Search-Inspired HDL Code Summarization with Structural Rewards cites this paper.

ROSUM-MCTS: Monte Carlo Tree Search-Inspired HDL Code Summarization with Structural Rewards AutoChip: Automating HDL Generation Using LLM Feedback

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-07-02T20:27:22.719132Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-27T20:22:27.538227Z digest=sha256:df04751bc551ab0019e69105f988b44a43e4236e20a0ca28d01b4f7a92263902

Observation f4cbd62f-d096-4c6b-8d8f-96330f1bea6e · 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 AutoChip: Automating HDL Generation Using LLM Feedback

Reference 34

Resolution
verified exact
arxiv_id, observed 2026-07-03T00:47:30.481041Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-27T17:01:24.292776Z digest=sha256:7318dca1f53790542f377e15fa076cc063ddd856884f490f2738997e181669dc

Observation 7921a70c-0e9f-4009-a1d9-74c472a98254 · inbound

Surveying GenAI-based Automation in Printed Circuit Board Design and Test cites this paper.

Surveying GenAI-based Automation in Printed Circuit Board Design and Test AutoChip: Automating HDL Generation Using LLM Feedback

Reference 101

Resolution
verified exact
arxiv_id, observed 2026-06-27T08:20:45.256957Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-27T08:13:14.791508Z digest=sha256:98391508665ab15d69848e436d09f8f1514a5185a5bd27fc226baca3d53fe0bd

Observation 8c8dd6be-c77c-4379-81db-87050c9f1060 · inbound

Interpretable and Verifiable Hardware Generation with LLM-Driven Stepwise Refinement cites this paper.

Interpretable and Verifiable Hardware Generation with LLM-Driven Stepwise Refinement AutoChip: Automating HDL Generation Using LLM Feedback

Reference 42

Resolution
verified exact
arxiv_id, observed 2026-07-03T21:28:59.396141Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-27T00:26:54.438203Z digest=sha256:088321279b5fe25cf14f01a0976ee281043466db6f943910fd10e8256cbbd489

Observation f2d28ebf-2a42-48dc-aad0-285427d3f170 · inbound

Interpretable and Verifiable Hardware Generation with LLM-Driven Stepwise Refinement cites this paper.

Interpretable and Verifiable Hardware Generation with LLM-Driven Stepwise Refinement AutoChip: Automating HDL Generation Using LLM Feedback

Reference 42

Resolution
unresolved
no resolver link, observed 2026-07-15T10:45:43.149976Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-15T10:45:43.149976Z digest=sha256:abca5337201862ebf41664bde4518b222d0ab21e81ff82ac2bb2f75f9edd65dc

Observation e234141f-21e9-4b19-b837-2ff72a84c307 · inbound

PCB-QA: Evaluating LLMs over the First Printed Circuit Board Design Question-Answer Dataset cites this paper.

PCB-QA: Evaluating LLMs over the First Printed Circuit Board Design Question-Answer Dataset AutoChip: Automating HDL Generation Using LLM Feedback

Reference 41

Resolution
verified exact
arxiv_id, observed 2026-06-27T08:20:44.881766Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-27T08:15:24.364818Z digest=sha256:3b1a4bf11a15cc89b17e20ede99a706587fa50dcbd131794e4583de92d00583e

Observation 6d02e71b-bd8f-48d3-9fa6-7275399dabfd · inbound

VeriPilot: An LLM-Powered Verilog Debugging Framework cites this paper.

VeriPilot: An LLM-Powered Verilog Debugging Framework AutoChip: Automating HDL Generation Using LLM Feedback

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-07-04T12:39:49.552944Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-26T06:21:00.038218Z digest=sha256:50320f1fc0b6a56b639c4ca423ac2b3671f10268bc40a9fa80187b1da167eba7

Observation 00caa813-2096-4a8c-ad40-c391a690b52e · inbound

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

Agentic Hardware Design as Repository-Level Code Evolution AutoChip: Automating HDL Generation Using LLM Feedback

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-07-01T18:45:58.327141Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-29T01:49:07.838897Z digest=sha256:8df5428441b4c3156524226fecd7b8e9d6de72020826b048601efd5b9a67e9ae

Observation 6b826155-be80-4812-9c80-7a3d9594b5c2 · inbound

SINA: A Fully Automated Circuit Schematic Image to Netlist Generator Using Artificial Intelligence cites this paper.

SINA: A Fully Automated Circuit Schematic Image to Netlist Generator Using Artificial Intelligence AutoChip: Automating HDL Generation Using LLM Feedback

Reference 1

Resolution
verified exact
arxiv_id, observed 2026-07-03T17:38:43.480766Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-03T17:31:06.732545Z digest=sha256:f17add0378e32c9f79b05c3edfd0841100f5433d12ac98a5adde8fce511dd60f

Observation 2764c245-bd25-4bf7-940d-669c596679ec · inbound

ArchEval: Measuring AI Agents as Computer Architects cites this paper.

ArchEval: Measuring AI Agents as Computer Architects AutoChip: Automating HDL Generation Using LLM Feedback

Reference 45

Resolution
unresolved
no resolver link, observed 2026-07-12T01:16:50.927415Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T01:16:50.927415Z digest=sha256:1784da251cd18ea261086e854ad66114697d507ef0a1e6e85144c95e633a76de

Observation 2fc94877-60df-443b-98a2-571a69580b3c · inbound

ChipVerilog: A Large-Scale OpenCores-Derived Benchmark for LLM-Based Verilog RTL Generation cites this paper.

ChipVerilog: A Large-Scale OpenCores-Derived Benchmark for LLM-Based Verilog RTL Generation AutoChip: Automating HDL Generation Using LLM Feedback

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-02T07:12:18.056245Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T07:12:18.056245Z digest=sha256:0f7600a7f4539db524992acc363ad7a101060b1f9c31001cf1e7ad5b5304de65

Observation 4f08f9b3-2d9d-48c5-9208-7a17edf9b90f · inbound

DRC-Aid: Design-Rule Correction via Agentic Framework utilizing Inference-Time Large Language Models cites this paper.

DRC-Aid: Design-Rule Correction via Agentic Framework utilizing Inference-Time Large Language Models AutoChip: Automating HDL Generation Using LLM Feedback

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-01T06:38:42.551394Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T06:38:42.551394Z digest=sha256:b0b3903737d81dbb6ef339d8e26c9344e36dfb046eb7e8597dc68d71271e7fa3

Observation 48c82e9d-e158-4cd3-99db-c1da535d5301 · inbound

VClare: Resolving Imperfect Specifications in LLM-Based Verilog Generation cites this paper.

VClare: Resolving Imperfect Specifications in LLM-Based Verilog Generation AutoChip: Automating HDL Generation Using LLM Feedback

Reference 17

Resolution
unresolved
no resolver link, observed 2026-07-30T23:35:19.832385Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-30T23:35:19.832385Z digest=sha256:f5afa3d6967321c00a933403b7432563ab568699b1685bcacf1f1d6f85e6ffe5