Paper Citation Record · LEDGER

Prompt Engineering a Prompt Engineer

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 17 inbound Pith citation observations for arXiv:2311.05661.

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

pith.paper-citation-record.v1
2311.05661 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 17 of 17 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 17 of 17 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:14:06.869855Z

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

12
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 463e57a2-e4c7-4d05-b210-af1acaecb048 · inbound

TextGrad: Automatic "Differentiation" via Text cites this paper.

TextGrad: Automatic "Differentiation" via Text Prompt Engineering a Prompt Engineer

Reference 71

Resolution: verified exact; arxiv_id, observed 2026-05-13T11:27:58.257780Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation f022fdee-9d13-466c-b0c4-f8b1d8a09475 · inbound

Evolutionary Computation and Large Language Models: A Survey of Methods, Synergies, and Applications cites this paper.

Evolutionary Computation and Large Language Models: A Survey of Methods, Synergies, and Applications Prompt Engineering a Prompt Engineer

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T15:14:06.869855Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ca4836d0-f800-4b1a-b025-9a13bc96e4e0 · inbound

Small Language Models in the Real World: Insights from Industrial Text Classification cites this paper.

Small Language Models in the Real World: Insights from Industrial Text Classification Prompt Engineering a Prompt Engineer

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-07T15:09:56.120237Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bd0449fd-ae43-409c-b0af-b657332086fc · inbound

SI-Agent: An Agentic Framework for Feedback-Driven Generation and Tuning of Human-Readable System Instructions for Large Language Models cites this paper.

SI-Agent: An Agentic Framework for Feedback-Driven Generation and Tuning of Human-Readable System Instructions for Large Language Models Prompt Engineering a Prompt Engineer

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-06T20:21:21.671226Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3eb8478f-a9a3-420a-96a5-43afa2ff34ae · inbound

Prompt Smart, Pay Less: Cost-Aware APO for Real-World Applications cites this paper.

Prompt Smart, Pay Less: Cost-Aware APO for Real-World Applications Prompt Engineering a Prompt Engineer

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-06T16:11:26.684587Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1cf09c6b-b735-4ac9-9649-bb4cdb4a68c4 · inbound

Retrieval augmented generation based dynamic prompting for few-shot biomedical named entity recognition using large language models cites this paper.

Retrieval augmented generation based dynamic prompting for few-shot biomedical named entity recognition using large language models Prompt Engineering a Prompt Engineer

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-06T14:14:25.414332Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cf5ee585-a895-4200-bbb4-7ac01dbecddb · inbound

A Comprehensive Survey of Self-Evolving AI Agents: A New Paradigm Bridging Foundation Models and Lifelong Agentic Systems cites this paper.

A Comprehensive Survey of Self-Evolving AI Agents: A New Paradigm Bridging Foundation Models and Lifelong Agentic Systems Prompt Engineering a Prompt Engineer

Reference 112

Resolution: verified exact; arxiv_id, observed 2026-05-15T23:21:42.235280Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation f8419caf-a9fe-4909-92fc-e09ff16672e4 · inbound

The Prompt Engineering Report Distilled: Quick Start Guide for Life Sciences cites this paper.

The Prompt Engineering Report Distilled: Quick Start Guide for Life Sciences Prompt Engineering a Prompt Engineer

Reference 138

Resolution: verified exact; arxiv_id, observed 2026-05-18T16:41:38.035596Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 7b392431-5235-47b6-adfd-cd7a0f9b652e · inbound

The Prompt Engineering Report Distilled: Quick Start Guide for Life Sciences cites this paper.

The Prompt Engineering Report Distilled: Quick Start Guide for Life Sciences Prompt Engineering a Prompt Engineer

Reference 139

Resolution: metadata mismatch; arxiv_id, observed 2026-05-18T16:41:37.410874Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation cd96a31f-56a3-4db9-b44c-1f58e95fe128 · inbound

PIAST: Rapid Prompting with In-context Augmentation for Scarce Training data cites this paper.

PIAST: Rapid Prompting with In-context Augmentation for Scarce Training data Prompt Engineering a Prompt Engineer

Reference 26

Resolution: verified exact; arxiv_id, observed 2026-05-16T23:18:40.144110Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 8a6cacef-4389-4f29-8bf2-827358114d2c · inbound

Memory in the Age of AI Agents cites this paper.

Memory in the Age of AI Agents Prompt Engineering a Prompt Engineer

Reference 105

Resolution: verified exact; arxiv_id, observed 2026-05-11T18:18:20.477520Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation dbc03b97-0f4c-4cf5-9dc3-9c511e6876a0 · inbound

Towards Efficient and Robust Linguistic Emotion Diagnosis for Mental Health via Multi-Agent Instruction Refinement cites this paper.

Towards Efficient and Robust Linguistic Emotion Diagnosis for Mental Health via Multi-Agent Instruction Refinement Prompt Engineering a Prompt Engineer

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-03T09:35:18.822942Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 996b7447-606f-4e49-ab2f-9ca56d26a8bd · inbound

ISTQB Certifications Under the Lens: Their Contributions to the Software-Testing Profession; and AI-assisted Synthesis of Practitioners' Endorsements and Criticisms cites this paper.

ISTQB Certifications Under the Lens: Their Contributions to the Software-Testing Profession; and AI-assisted Synthesis of Practitioners' Endorsements and Criticisms Prompt Engineering a Prompt Engineer

Reference 46

Resolution: unresolved; no resolver link, observed 2026-07-14T21:06:47.709726Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4c502048-7a86-492a-a626-b53dca458a3e · inbound

Dynamic Infilling Anchors for Format-Constrained Generation in Diffusion Large Language Models cites this paper.

Dynamic Infilling Anchors for Format-Constrained Generation in Diffusion Large Language Models Prompt Engineering a Prompt Engineer

Reference 81

Resolution: verified exact; arxiv_id, observed 2026-07-02T08:06:48.412250Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 2d3bd371-bee8-4126-88b5-b63938c5e0c8 · inbound

LLM4MTLs: Automated Generation and Empirical Evaluation of Model Transformation Languages cites this paper.

LLM4MTLs: Automated Generation and Empirical Evaluation of Model Transformation Languages Prompt Engineering a Prompt Engineer

Reference 51

Resolution: verified exact; arxiv_id, observed 2026-07-04T18:40:03.096383Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 40d491da-70d9-49e5-97bb-5920d3259d98 · inbound

A French OSCE Dialogue Dataset and Controllable Virtual Patient System for Clinical Training cites this paper.

A French OSCE Dialogue Dataset and Controllable Virtual Patient System for Clinical Training Prompt Engineering a Prompt Engineer

Reference 58

Resolution: verified exact; arxiv_id, observed 2026-06-30T01:34:09.821404Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation e8eab3b0-1e9c-471a-948f-c91874214ba7 · inbound

BT-APE: A Computationally Light Backtracking Approach to Automatic Prompt Engineering for Requirements Classification cites this paper.

BT-APE: A Computationally Light Backtracking Approach to Automatic Prompt Engineering for Requirements Classification Prompt Engineering a Prompt Engineer

Reference 53

Resolution: verified exact; arxiv_id, observed 2026-07-02T09:16:48.653833Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.