Paper Citation Record · LEDGER

Prompt Engineering Through the Lens of Optimal Control

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 inbound Pith citation observations for arXiv:2310.14201.

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

pith.paper-citation-record.v1
2310.14201 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 11 of 11 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T15:14:28.489885Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T23:45:08.087372Z

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 34dd0c31-5ff7-4150-a5a7-7c9132dea439 · inbound

A Sequential Optimal Learning Approach to Automated Prompt Engineering in Large Language Models cites this paper.

A Sequential Optimal Learning Approach to Automated Prompt Engineering in Large Language Models Prompt Engineering Through the Lens of Optimal Control

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-10T21:56:59.001475Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0ace2957-b069-4f4c-b382-25951cfa8c6e · inbound

Automatic Prompt Optimization Techniques: Exploring the Potential for Synthetic Data Generation cites this paper.

Automatic Prompt Optimization Techniques: Exploring the Potential for Synthetic Data Generation Prompt Engineering Through the Lens of Optimal Control

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-09T06:02:12.879383Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b83bf090-d228-4613-9821-2ac2e99d7254 · inbound

Sealing The Backdoor: Unlearning Adversarial Text Triggers In Diffusion Models Using Knowledge Distillation cites this paper.

Sealing The Backdoor: Unlearning Adversarial Text Triggers In Diffusion Models Using Knowledge Distillation Prompt Engineering Through the Lens of Optimal Control

Reference 108

Resolution: unresolved; no resolver link, observed 2026-08-05T18:47:45.381555Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9da3056b-c5e2-4244-889a-e0f7df5e2c92 · inbound

Activation Steering with a Feedback Controller cites this paper.

Activation Steering with a Feedback Controller Prompt Engineering Through the Lens of Optimal Control

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-05-21T21:50:41.371221Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation ede865bc-6c28-4e9f-949a-9f5b13bcf44d · inbound

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

When control meets large language models: From words to dynamics Prompt Engineering Through the Lens of Optimal Control

Reference 228

Resolution: metadata mismatch; arxiv_id, observed 2026-05-21T14:54:13.187093Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 00c93e79-99dd-48a7-8936-fb3fc5f59301 · inbound

Local Linearity of LLMs Enables Activation Steering via Model-Based Linear Optimal Control cites this paper.

Local Linearity of LLMs Enables Activation Steering via Model-Based Linear Optimal Control Prompt Engineering Through the Lens of Optimal Control

Reference 71

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T13:01:04.126402Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation ab95751c-4507-4157-b69b-996df81112be · inbound

When Language Overwrites Vision: Over-Alignment and Geometric Debiasing in Vision-Language Models cites this paper.

When Language Overwrites Vision: Over-Alignment and Geometric Debiasing in Vision-Language Models Prompt Engineering Through the Lens of Optimal Control

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-12T00:51:15.296822Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d0e04ffa-0a06-4451-b06e-6be3c55ee84d · inbound

When Language Overwrites Vision: Over-Alignment and Geometric Debiasing in Vision-Language Models cites this paper.

When Language Overwrites Vision: Over-Alignment and Geometric Debiasing in Vision-Language Models Prompt Engineering Through the Lens of Optimal Control

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-14T21:22:59.009106Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 1d242b19-fb46-44b6-a54a-2f49fff97b89 · inbound

When Language Overwrites Vision: Over-Alignment and Geometric Debiasing in Vision-Language Models cites this paper.

When Language Overwrites Vision: Over-Alignment and Geometric Debiasing in Vision-Language Models Prompt Engineering Through the Lens of Optimal Control

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-19T17:07:41.713977Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation e2580090-58ae-4577-8912-99fc26e78348 · inbound

When Language Overwrites Vision: Over-Alignment and Geometric Debiasing in Vision-Language Models cites this paper.

When Language Overwrites Vision: Over-Alignment and Geometric Debiasing in Vision-Language Models Prompt Engineering Through the Lens of Optimal Control

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-06-30T23:45:08.089670Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 319692d9-0506-4982-9f2d-6efd7f23bbf1 · inbound

Training-Free Universal Approximation by Prompting Random Transformers cites this paper.

Training-Free Universal Approximation by Prompting Random Transformers Prompt Engineering Through the Lens of Optimal Control

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-11T15:14:28.489885Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.