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Paper Citation Record · LEDGER

Capabilities of Large Language Models in Control Engineering: A Benchmark Study on GPT-4, Claude 3 Opus, and Gemini 1.0 Ultra

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 14 inbound Pith citation observations for arXiv:2404.03647.

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

pith.paper-citation-record.v1
2404.03647 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 14 of 14 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 14 of 14 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T17:50:56.286807Z

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
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  • unresolved0
  • parse uncertain0
  • malformed identifier0
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External citation measurements

19
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 748f5a05-3d9d-431a-81fc-ac3f7c2dff51 · inbound

Visual-Linguistic Agent: Towards Collaborative Contextual Object Reasoning cites this paper.

Visual-Linguistic Agent: Towards Collaborative Contextual Object Reasoning Capabilities of Large Language Models in Control Engineering: A Benchmark Study on GPT-4, Claude 3 Opus, and Gemini 1.0 Ultra

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-12T19:52:34.374839Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T19:52:34.374839Z digest=sha256:28b876394ce70afa5a8c6fa1df0d7ded6e63e8b93e80e4e1e4eca8d51a48dd80

Observation c48f0f96-20b2-4d8d-b69e-3e7d8ed2a759 · inbound

SmartLLMSentry: A Comprehensive LLM Based Smart Contract Vulnerability Detection Framework cites this paper.

SmartLLMSentry: A Comprehensive LLM Based Smart Contract Vulnerability Detection Framework Capabilities of Large Language Models in Control Engineering: A Benchmark Study on GPT-4, Claude 3 Opus, and Gemini 1.0 Ultra

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-12T10:25:40.646848Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:25:40.646848Z digest=sha256:16127de17679f6c66aeef827c4ad8ddae204c26adb1e23394633e65c9db7b652

Observation f1071304-c7d9-4a07-9051-6018b350f1f8 · inbound

FDM-Bench: A Comprehensive Benchmark for Evaluating Large Language Models in Additive Manufacturing Tasks cites this paper.

FDM-Bench: A Comprehensive Benchmark for Evaluating Large Language Models in Additive Manufacturing Tasks Capabilities of Large Language Models in Control Engineering: A Benchmark Study on GPT-4, Claude 3 Opus, and Gemini 1.0 Ultra

Reference 29

Resolution
verified exact
arxiv_id, observed 2026-05-23T06:57:40.146907Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-23T06:57:35.070946Z digest=sha256:41d7b7821b85dcca2bafec984ada73d4157a980b7d8e2e43ea2646c4c66d1d09

Observation f2c4d60e-6692-4944-bcba-abffdbaea6c9 · inbound

SceneLLM: Implicit Language Reasoning in LLM for Dynamic Scene Graph Generation cites this paper.

SceneLLM: Implicit Language Reasoning in LLM for Dynamic Scene Graph Generation Capabilities of Large Language Models in Control Engineering: A Benchmark Study on GPT-4, Claude 3 Opus, and Gemini 1.0 Ultra

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-11T15:26:25.073336Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T15:26:25.073336Z digest=sha256:5767bc83dbc4fe155cec8a1b5f67217101540b4295639e972015e9cd9c0f46b9

Observation 7fccfd18-0640-494b-a564-20dccb52b4c0 · inbound

Teaching Astronomy with Large Language Models cites this paper.

Teaching Astronomy with Large Language Models Capabilities of Large Language Models in Control Engineering: A Benchmark Study on GPT-4, Claude 3 Opus, and Gemini 1.0 Ultra

Reference 36

Resolution
metadata mismatch
arxiv_id, observed 2026-05-19T10:17:15.331617Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-19T10:14:51.134936Z digest=sha256:f60072a760b72db203fd7f955cdfb28cefb9a591e9a203b735f280ed0ed02583

Observation 7afb0d33-70cc-4d12-8c90-365589edea9d · inbound

If You Had to Pitch Your Ideal Software -- Evaluating Large Language Models to Support User Scenario Writing for User Experience Experts and Laypersons cites this paper.

If You Had to Pitch Your Ideal Software -- Evaluating Large Language Models to Support User Scenario Writing for User Experience Experts and Laypersons Capabilities of Large Language Models in Control Engineering: A Benchmark Study on GPT-4, Claude 3 Opus, and Gemini 1.0 Ultra

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-06T21:37:56.924054Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:37:56.924054Z digest=sha256:d848706b6e66c56364ce20723f3b4ab21fb6a0711987ad1153fd9d940a8e1bb9

Observation 709f7a06-de8c-4616-a46a-731cbc9e4d6d · inbound

LLMs-guided adaptive compensator: Bringing Adaptivity to Automatic Control Systems with Large Language Models cites this paper.

LLMs-guided adaptive compensator: Bringing Adaptivity to Automatic Control Systems with Large Language Models Capabilities of Large Language Models in Control Engineering: A Benchmark Study on GPT-4, Claude 3 Opus, and Gemini 1.0 Ultra

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-15T17:50:56.286807Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:50:56.286807Z digest=sha256:e6ad4accbe3e31bc6f761e58f35024a0015e37562f0505f1e49c0337deebb098

Observation 3853132b-bc04-4ca3-9179-1e7ba4133150 · inbound

POT: Inducing Overthinking in LLMs via Black-Box Iterative Optimization cites this paper.

POT: Inducing Overthinking in LLMs via Black-Box Iterative Optimization Capabilities of Large Language Models in Control Engineering: A Benchmark Study on GPT-4, Claude 3 Opus, and Gemini 1.0 Ultra

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-15T17:12:27.811961Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:12:27.811961Z digest=sha256:bb079e9a38c2f47eba0d2ec0fdb23d8c4342c1d671d1f97fce61df5b0d74f77e

Observation 086aa2f9-0165-44b6-8d49-d598c3a86e1d · inbound

When control meets large language models: From words to dynamics cites this paper.

When control meets large language models: From words to dynamics Capabilities of Large Language Models in Control Engineering: A Benchmark Study on GPT-4, Claude 3 Opus, and Gemini 1.0 Ultra

Reference 65

Resolution
metadata mismatch
arxiv_id, observed 2026-05-21T14:54:13.230930Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-21T14:52:44.632671Z digest=sha256:8d73af8a85df5c01030039cecbd8449ca79af57d3bcb107a387c5ba18e5639d2

Observation ee969237-3e2b-4572-a30c-b1a3fd472df2 · inbound

Frontier-Eng: Benchmarking Self-Evolving Agents on Real-World Engineering Tasks with Generative Optimization cites this paper.

Frontier-Eng: Benchmarking Self-Evolving Agents on Real-World Engineering Tasks with Generative Optimization Capabilities of Large Language Models in Control Engineering: A Benchmark Study on GPT-4, Claude 3 Opus, and Gemini 1.0 Ultra

Reference 8

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T09:05:57.771168Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-10T16:17:32.290531Z digest=sha256:d820e4d8d8c3892e2e8b097dcaf3d01134f143b9ac355574128debb8f0123bfc

Observation 8206845b-3c19-4a26-8be5-ce8f25cd30c8 · inbound

Reasoning4Sciences: Bridging Reasoning Language Models to All Scientific Branches cites this paper.

Reasoning4Sciences: Bridging Reasoning Language Models to All Scientific Branches Capabilities of Large Language Models in Control Engineering: A Benchmark Study on GPT-4, Claude 3 Opus, and Gemini 1.0 Ultra

Reference 134

Resolution
verified exact
arxiv_id, observed 2026-07-01T20:56:14.353166Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-28T17:35:01.285534Z digest=sha256:7549c4fa7a55394bff69718a88f870e1aad230f53b2f2cb72780a8a9cc432b84

Observation 11a7a100-b066-498e-87a2-f903e40b3dc9 · inbound

Reasoning4Sciences: Bridging Reasoning Language Models to All Scientific Branches cites this paper.

Reasoning4Sciences: Bridging Reasoning Language Models to All Scientific Branches Capabilities of Large Language Models in Control Engineering: A Benchmark Study on GPT-4, Claude 3 Opus, and Gemini 1.0 Ultra

Reference 146

Resolution
verified exact
arxiv_id, observed 2026-07-01T08:35:34.029547Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-07-01T07:22:25.349398Z digest=sha256:f93eeef1890862b8f4b4064a162da50e1bca2d62aa182b31243f32d2f810aaeb

Observation deaecc7d-6db7-4a1f-ad1d-95f5d4e29611 · inbound

LLMRouter: Unified Infrastructure for Developing, Evaluating, and Deploying LLM Routers cites this paper.

LLMRouter: Unified Infrastructure for Developing, Evaluating, and Deploying LLM Routers Capabilities of Large Language Models in Control Engineering: A Benchmark Study on GPT-4, Claude 3 Opus, and Gemini 1.0 Ultra

Reference 194

Resolution
unresolved
no resolver link, observed 2026-08-15T14:34:14.557020Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:34:14.557020Z digest=sha256:1d6c7427052bfd91939b005370a211b545874a224c3943b9cdbf8eb4dc23fddf

Observation ad1d8bab-1f9b-454a-899e-9a2e488a9756 · inbound

Benchmarking and Reasoning Distillation of Large Language Models for Feedback Controller Design in Complex Dynamical Systems cites this paper.

Benchmarking and Reasoning Distillation of Large Language Models for Feedback Controller Design in Complex Dynamical Systems Capabilities of Large Language Models in Control Engineering: A Benchmark Study on GPT-4, Claude 3 Opus, and Gemini 1.0 Ultra

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-10T16:50:56.534435Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T16:50:56.534435Z digest=sha256:3c6996dfd2efab796fc78edd042c7484b00948166ff7522c0808dee019d27d78