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Paper Citation Record · LEDGER

Prompt Engineering Through the Lens of Optimal Control

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 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 9 of 9 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T06:02:12.879383Z

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 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.

source=pdf_text observed=2026-08-09T06:02:12.879383Z digest=sha256:14275cc588b4d64c5c13a595cf1eb4c193d87b3be14b46f5cf41886e4bbb962b

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.

source=pdf_text observed=2026-08-05T18:47:45.381555Z digest=sha256:fde57adf4b07eabbb41b4d73978313663756e20281ec054ee524573b8307d2c2

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-21T21:50:05.186376Z digest=sha256:03379fbbe0e4761a2ad65773e69bf37b03330006e9cae51210681040476db69a

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-21T14:52:44.632671Z digest=sha256:53c3cda5da5d9525f5ad10bbc0431f2c87d59339299343b049b543740c875120

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-10T02:31:07.932802Z digest=sha256:427818817b02c14f09b8b4dd6ff526864397a4055c9f7eed1cfab5d09592bbb3

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-12T00:50:06.234399Z digest=sha256:7a76dd20d3689f18d6cd384dca3583b1895fca224c429296943ebbda76c49236

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-14T21:21:37.185232Z digest=sha256:4a5af38e8f07ccc20ed8f96e743e61210f12fb43af4aadd3be5ac30f2c3e59df

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-19T17:06:03.483247Z digest=sha256:ddd509959e079d768f30dad950e30473ee72ce2018d2657e1ab4164aad6dd0f1

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-30T23:41:36.199099Z digest=sha256:b15fb89c2361f0bd65ef4facb281c5da6f38dabe15c43caea58e0b001fb91ae8