Paper Citation Record · LEDGER

A Prompt Pattern Catalog to Enhance Prompt Engineering with ChatGPT

As of 4 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 75 inbound Pith citation observations for arXiv:2302.11382.

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

pith.paper-citation-record.v1
2302.11382 v1

Coverage vector

measured 38 of 38 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-15T07:09:16.823590Z

measured 113 of 113 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00

measured 75 of 75 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T21:22:01.205063Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-10T06:15:00.866473Z

Reference resolution

38 of 38 outbound references displayed

verified exact10
verified fuzzy23
unresolved1
parse uncertain0
malformed identifier0
metadata mismatch4

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d0e92cf8-4206-49a4-ba7a-5ab149ccd701 · outbound

This paper cites On the Opportunities and Risks of Foundation Models.

A Prompt Pattern Catalog to Enhance Prompt Engineering with ChatGPT On the Opportunities and Risks of Foundation Models

Reference 1

Resolution: verified exact; local_arxiv, observed 2026-05-15T07:09:16.934390Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 01db391d-eb7f-401c-9984-48f429f7da90 · outbound

This paper cites A Multitask, Multilingual, Multimodal Evaluation of ChatGPT on Reasoning, Hallucination, and Interactivity.

A Prompt Pattern Catalog to Enhance Prompt Engineering with ChatGPT A Multitask, Multilingual, Multimodal Evaluation of ChatGPT on Reasoning, Hallucination, and Interactivity

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-05-17T19:58:48.184559Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 15994434-836b-4e7d-bc7e-3c917912e55b · outbound

This paper cites How well does chatgpt do when taking the med ical licensing exams?.

A Prompt Pattern Catalog to Enhance Prompt Engineering with ChatGPT How well does chatgpt do when taking the med ical licensing exams?

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T07:09:16.989984Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 991a7b07-b1dd-430b-9e09-0f95f96ebc4b · outbound

This paper cites Architecting the future of software engi neering.

A Prompt Pattern Catalog to Enhance Prompt Engineering with ChatGPT Architecting the future of software engi neering

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T07:09:16.994172Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 4d521b57-f3c4-4580-a225-f18997d4c112 · outbound

This paper cites Github copilot · your ai pair programmer.

A Prompt Pattern Catalog to Enhance Prompt Engineering with ChatGPT Github copilot · your ai pair programmer

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T07:09:16.998690Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation c3c039e5-f7aa-415d-b320-91a23c29485b · outbound

This paper cites Is GitHub's Copilot as Bad as Humans at Introducing Vulnerabilities in Code?.

A Prompt Pattern Catalog to Enhance Prompt Engineering with ChatGPT Is GitHub's Copilot as Bad as Humans at Introducing Vulnerabilities in Code?

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-05-15T07:09:16.862754Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 4d8094c0-bbce-4754-ab23-519074c88f4c · outbound

This paper cites Asleep at the keyboard? assessing the security of github copilot’s co de contribu- tions.

A Prompt Pattern Catalog to Enhance Prompt Engineering with ChatGPT Asleep at the keyboard? assessing the security of github copilot’s co de contribu- tions

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T07:09:17.006531Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 1b9396a8-b371-4622-b549-fad49801814b · outbound

This paper cites Krochmalski, IntelliJ IDEA Essentials.

A Prompt Pattern Catalog to Enhance Prompt Engineering with ChatGPT Krochmalski, IntelliJ IDEA Essentials

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T07:09:17.009704Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 2019aa9a-e5fb-4501-af14-e8eafa30d123 · outbound

This paper cites Pre- train, prompt, and predict: A systematic survey of promptin g methods in natural language processing.

A Prompt Pattern Catalog to Enhance Prompt Engineering with ChatGPT Pre- train, prompt, and predict: A systematic survey of promptin g methods in natural language processing

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T07:09:17.012940Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation bfcd51f3-1faf-4de6-807b-38e956df2405 · outbound

This paper cites Gamma, R.

A Prompt Pattern Catalog to Enhance Prompt Engineering with ChatGPT Gamma, R

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T07:09:17.016169Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 0cab8e0f-698a-4768-9492-377cc1834155 · outbound

This paper cites an unresolved cited work.

A Prompt Pattern Catalog to Enhance Prompt Engineering with ChatGPT Unresolved cited work

Reference 11

Resolution: unresolved; raw_fallback, observed 2026-05-15T07:09:17.019465Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation d64abc5d-73ca-49ed-a960-5d917924bf40 · outbound

This paper cites ChatGPT: Large-Scale Generative Language Mo dels for Automated Content Creation.

A Prompt Pattern Catalog to Enhance Prompt Engineering with ChatGPT ChatGPT: Large-Scale Generative Language Mo dels for Automated Content Creation

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T07:09:17.023100Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation aef718a5-de37-457c-8665-bacb1c45069a · outbound

This paper cites DALL·E 2: Creating Images from Text.

A Prompt Pattern Catalog to Enhance Prompt Engineering with ChatGPT DALL·E 2: Creating Images from Text

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T07:09:17.028646Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation fc2c61a8-8603-4e73-8f9d-728f5710b79c · outbound

This paper cites Least-to-Most Prompting Enables Complex Reasoning in Large Language Models.

A Prompt Pattern Catalog to Enhance Prompt Engineering with ChatGPT Least-to-Most Prompting Enables Complex Reasoning in Large Language Models

Reference 14

Resolution: verified exact; local_arxiv, observed 2026-05-15T07:09:16.869623Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation e226dc37-6380-4d9b-85d1-44660fc22f5c · outbound

This paper cites Graphviz and dynagraph—static and dynamic graph drawing t ools.

A Prompt Pattern Catalog to Enhance Prompt Engineering with ChatGPT Graphviz and dynagraph—static and dynamic graph drawing t ools

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T07:09:16.939767Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation a5dceb6c-bfa9-4d2d-97ae-02c466866a6c · outbound

This paper cites Building a virtual machine inside a javascrip t library.

A Prompt Pattern Catalog to Enhance Prompt Engineering with ChatGPT Building a virtual machine inside a javascrip t library

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T07:09:16.944582Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 73ccdb13-8b36-4e5c-b3b1-0f8b45643504 · outbound

This paper cites Applying Software Patterns to Address Interoperability in Blockchain-based Healthcare Apps.

A Prompt Pattern Catalog to Enhance Prompt Engineering with ChatGPT Applying Software Patterns to Address Interoperability in Blockchain-based Healthcare Apps

Reference 17

Resolution: verified exact; local_arxiv, observed 2026-05-15T07:09:16.876327Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 993a13bb-11fb-4382-89e3-84132500f21c · outbound

This paper cites A pattern collection for blockchain-based applications.

A Prompt Pattern Catalog to Enhance Prompt Engineering with ChatGPT A pattern collection for blockchain-based applications

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T07:09:16.953114Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 32e8612b-3b49-4408-a588-a273f3cd680f · outbound

This paper cites Chatgpt: ﬁve priorities for research.

A Prompt Pattern Catalog to Enhance Prompt Engineering with ChatGPT Chatgpt: ﬁve priorities for research

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T07:09:16.956989Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation d95417bc-6654-4ef0-aa7a-be48b206fd56 · outbound

This paper cites Prompt Programming for Large Language Models: Beyond the Few-Shot Paradigm.

A Prompt Pattern Catalog to Enhance Prompt Engineering with ChatGPT Prompt Programming for Large Language Models: Beyond the Few-Shot Paradigm

Reference 20

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T07:09:16.883008Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation e5ee4184-3271-4b44-a996-eaa0f51f6aab · outbound

This paper cites Available: https://arxiv.org/abs/2102.

A Prompt Pattern Catalog to Enhance Prompt Engineering with ChatGPT Available: https://arxiv.org/abs/2102

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T07:09:16.965878Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 66aed33c-c781-434f-a7b7-b99d6215bd78 · outbound

This paper cites Chain-of-Thought Prompting Elicits Reasoning in Large Language Models.

A Prompt Pattern Catalog to Enhance Prompt Engineering with ChatGPT Chain-of-Thought Prompting Elicits Reasoning in Large Language Models

Reference 22

Resolution: verified exact; local_arxiv, observed 2026-05-15T07:09:16.889145Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation b30c7fc9-64b1-4fb8-a142-a9acb7127a9f · outbound

This paper cites Emergent Abilities of Large Language Models.

A Prompt Pattern Catalog to Enhance Prompt Engineering with ChatGPT Emergent Abilities of Large Language Models

Reference 23

Resolution: verified exact; local_arxiv, observed 2026-05-15T07:09:16.895626Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 39047078-8d53-4873-a796-5acddfc6ec4d · outbound

This paper cites Large language models are human-level prompt engine ers.

A Prompt Pattern Catalog to Enhance Prompt Engineering with ChatGPT Large language models are human-level prompt engine ers

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T07:09:16.978112Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation f61580d4-dbe3-4ac2-a8d1-144cee8bfb8b · outbound

This paper cites Available: https://arxiv.org/abs/2211.

A Prompt Pattern Catalog to Enhance Prompt Engineering with ChatGPT Available: https://arxiv.org/abs/2211

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T07:09:16.981958Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 61a479b6-f018-44f0-9fea-beb56c12c0c1 · outbound

This paper cites AutoPrompt: Eliciting Knowledge from Language Models with Automatically Generated Prompts.

A Prompt Pattern Catalog to Enhance Prompt Engineering with ChatGPT AutoPrompt: Eliciting Knowledge from Language Models with Automatically Generated Prompts

Reference 26

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T07:09:16.902053Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 34d20931-0a7a-456a-a7d9-5244a53caacb · outbound

This paper cites Language models are unsupervised multitask learners.

A Prompt Pattern Catalog to Enhance Prompt Engineering with ChatGPT Language models are unsupervised multitask learners

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T07:09:17.002831Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 42dfb301-84e0-41a4-bb5b-76377727b9f9 · outbound

This paper cites Least- to- most prompting enables complex reasoning in large language models.

A Prompt Pattern Catalog to Enhance Prompt Engineering with ChatGPT Least- to- most prompting enables complex reasoning in large language models

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T07:09:17.032635Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation be051270-0819-4a0f-a3cc-b5b70dc9b898 · outbound

This paper cites Available: https://arxiv.org/abs/2205.

A Prompt Pattern Catalog to Enhance Prompt Engineering with ChatGPT Available: https://arxiv.org/abs/2205

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T07:09:16.948597Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 57ff8379-7c71-412b-8354-7ed0bd6b824c · outbound

This paper cites Maieutic Prompting: Logically Consistent Reasoning with Recursive Explanations.

A Prompt Pattern Catalog to Enhance Prompt Engineering with ChatGPT Maieutic Prompting: Logically Consistent Reasoning with Recursive Explanations

Reference 30

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T07:09:16.907995Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation a4f0c40d-5b51-4dd4-9e5e-b88dcc9676aa · outbound

This paper cites Ask me anything: A simple strategy for prompting language models.

A Prompt Pattern Catalog to Enhance Prompt Engineering with ChatGPT Ask me anything: A simple strategy for prompting language models

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T07:09:16.969762Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 1dae8380-5a3f-46a1-a909-e7529dc9d6be · outbound

This paper cites Design guidelines for prompt e ngineering text-to-image generative models.

A Prompt Pattern Catalog to Enhance Prompt Engineering with ChatGPT Design guidelines for prompt e ngineering text-to-image generative models

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T07:09:16.973646Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 9a09f9e9-07ab-46f1-8bf7-e93cfc0fc609 · outbound

This paper cites Chat2VIS: Generating Data Visualisations via Natural Language using ChatGPT, Codex and GPT-3 Large Language Models.

A Prompt Pattern Catalog to Enhance Prompt Engineering with ChatGPT Chat2VIS: Generating Data Visualisations via Natural Language using ChatGPT, Codex and GPT-3 Large Language Models

Reference 33

Resolution: verified exact; arxiv_id, observed 2026-05-15T07:09:16.914474Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 916043a7-fc88-49ed-8e2a-e7e7647e9b73 · outbound

This paper cites Ptr: Prompt t uning with rules for text classiﬁcation.

A Prompt Pattern Catalog to Enhance Prompt Engineering with ChatGPT Ptr: Prompt t uning with rules for text classiﬁcation

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T07:09:16.961517Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation c58cfd40-638e-4587-82af-61e7c10a6d45 · outbound

This paper cites Can ChatGPT Write a Good Boolean Query for Systematic Review Literature Search?.

A Prompt Pattern Catalog to Enhance Prompt Engineering with ChatGPT Can ChatGPT Write a Good Boolean Query for Systematic Review Literature Search?

Reference 35

Resolution: verified exact; arxiv_id, observed 2026-05-15T07:09:16.921658Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 7126fe28-b61e-4f60-a0f0-a0db3e338ccd · outbound

This paper cites Conversational Automated Program Repair.

A Prompt Pattern Catalog to Enhance Prompt Engineering with ChatGPT Conversational Automated Program Repair

Reference 36

Resolution: verified exact; arxiv_id, observed 2026-05-15T07:09:16.927933Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 4de3d962-ba53-442b-812c-c2e50ed9a4cf · outbound

This paper cites C hatgpt goes to law school.

A Prompt Pattern Catalog to Enhance Prompt Engineering with ChatGPT C hatgpt goes to law school

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T07:09:16.985524Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 140e9343-6b59-4a9b-8b8a-906ff582bc76 · outbound

This paper cites Mathematical Capabilities of ChatGPT.

A Prompt Pattern Catalog to Enhance Prompt Engineering with ChatGPT Mathematical Capabilities of ChatGPT

Reference 38

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T07:09:16.846967Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Pith citing papers

Observation 48b41ed1-527d-43bd-bf2c-c133a2a03a5d · inbound

Quantifying Language Models' Sensitivity to Spurious Features in Prompt Design or: How I learned to start worrying about prompt formatting cites this paper.

Quantifying Language Models' Sensitivity to Spurious Features in Prompt Design or: How I learned to start worrying about prompt formatting A Prompt Pattern Catalog to Enhance Prompt Engineering with ChatGPT

Reference 64

Resolution: metadata mismatch; local_arxiv, observed 2026-05-17T01:59:51.398030Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 7e9cc1cc-1918-45b1-a55d-821b147c6431 · inbound

Dr. Jekyll and Mr. Hyde: Two Faces of LLMs cites this paper.

Dr. Jekyll and Mr. Hyde: Two Faces of LLMs A Prompt Pattern Catalog to Enhance Prompt Engineering with ChatGPT

Reference 21

Resolution: metadata mismatch; local_arxiv, observed 2026-05-24T05:06:00.329112Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 8b3e4fc9-fe68-4682-bcbc-141474c1f71f · inbound

Rethinking the A in STEAM: Insights from and for AI Literacy Education cites this paper.

Rethinking the A in STEAM: Insights from and for AI Literacy Education A Prompt Pattern Catalog to Enhance Prompt Engineering with ChatGPT

Reference 57

Resolution: verified exact; local_arxiv, observed 2026-05-24T01:23:42.140117Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation c1ba4e3e-6804-43ca-96a0-a57a09908956 · inbound

Automated Design of Agentic Systems cites this paper.

Automated Design of Agentic Systems A Prompt Pattern Catalog to Enhance Prompt Engineering with ChatGPT

Reference 29

Resolution: metadata mismatch; local_arxiv, observed 2026-05-15T08:07:54.810027Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation f13c4ae3-db53-4d37-83d2-8d99f5ac464e · inbound

Understanding the Human-LLM Dynamic: A Literature Survey of LLM Use in Programming Tasks cites this paper.

Understanding the Human-LLM Dynamic: A Literature Survey of LLM Use in Programming Tasks A Prompt Pattern Catalog to Enhance Prompt Engineering with ChatGPT

Reference 104

Resolution: verified exact; local_arxiv, observed 2026-05-23T20:03:24.590590Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation ee6fdbb8-c41b-4862-b380-f69326dd837d · inbound

From System 1 to System 2: A Survey of Reasoning Large Language Models cites this paper.

From System 1 to System 2: A Survey of Reasoning Large Language Models A Prompt Pattern Catalog to Enhance Prompt Engineering with ChatGPT

Reference 86

Resolution: verified exact; arxiv_id, observed 2026-05-15T07:09:17.033947Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 5ecc2230-ec03-4caa-a5cc-f98998473496 · inbound

From Concept to Practice: an Automated LLM-aided UVM Machine for RTL Verification cites this paper.

From Concept to Practice: an Automated LLM-aided UVM Machine for RTL Verification A Prompt Pattern Catalog to Enhance Prompt Engineering with ChatGPT

Reference 37

Resolution: verified exact; local_arxiv, observed 2026-05-22T18:01:54.460531Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 304de39d-ca06-4d02-88f4-751bc62064de · inbound

PatchTrack: A Comprehensive Analysis of ChatGPT's Influence on Pull Request Outcomes cites this paper.

PatchTrack: A Comprehensive Analysis of ChatGPT's Influence on Pull Request Outcomes A Prompt Pattern Catalog to Enhance Prompt Engineering with ChatGPT

Reference 30

Resolution: metadata mismatch; local_arxiv, observed 2026-05-22T16:14:58.888781Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 2ed34b8f-9bc5-42cc-a4c1-100006357b66 · inbound

Can GPT-4o Evaluate Usability Like Human Experts? A Comparative Study on Issue Identification in Heuristic Evaluation cites this paper.

Can GPT-4o Evaluate Usability Like Human Experts? A Comparative Study on Issue Identification in Heuristic Evaluation A Prompt Pattern Catalog to Enhance Prompt Engineering with ChatGPT

Reference 49

Resolution: metadata mismatch; local_arxiv, observed 2026-05-19T08:52:13.061798Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation b8fb5a20-7a5e-4db9-93f8-1bcb3e1e20cc · inbound

ChatGPT for Code Refactoring: Analyzing Topics, Interaction, and Effective Prompts cites this paper.

ChatGPT for Code Refactoring: Analyzing Topics, Interaction, and Effective Prompts A Prompt Pattern Catalog to Enhance Prompt Engineering with ChatGPT

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-04T21:22:01.205063Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f21fbab1-30e8-466e-a585-9ddfc78186da · inbound

A Systematic Survey on Large Language Models for Evolutionary Optimization: From Modeling to Solving cites this paper.

A Systematic Survey on Large Language Models for Evolutionary Optimization: From Modeling to Solving A Prompt Pattern Catalog to Enhance Prompt Engineering with ChatGPT

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-04T20:55:41.326324Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dc7b8055-0f57-4de5-ac93-93d04dc9001c · inbound

Accelerating Reinforcement Learning Algorithms Convergence using Pre-trained Large Language Models as Tutors With Advice Reusing cites this paper.

Accelerating Reinforcement Learning Algorithms Convergence using Pre-trained Large Language Models as Tutors With Advice Reusing A Prompt Pattern Catalog to Enhance Prompt Engineering with ChatGPT

Reference 97

Resolution: unresolved; no resolver link, observed 2026-08-04T20:49:37.933858Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eda2be85-b95c-4dda-95c7-9892d3b6a80d · inbound

Generative AI as a Safety Net for Survey Question Refinement cites this paper.

Generative AI as a Safety Net for Survey Question Refinement A Prompt Pattern Catalog to Enhance Prompt Engineering with ChatGPT

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-04T20:22:35.296240Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 094bee32-85a7-4db6-8112-4b799fb0e398 · inbound

Generative AI as a Safety Net for Survey Question Refinement cites this paper.

Generative AI as a Safety Net for Survey Question Refinement A Prompt Pattern Catalog to Enhance Prompt Engineering with ChatGPT

Reference 2020

Resolution: malformed identifier; no resolver link, observed 2026-08-04T20:22:35.292845Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 501f1d9a-93f8-455a-8bff-5cac58f1c3b9 · inbound

PromptGuard: An Orchestrated Prompting Framework for Principled Synthetic Text Generation for Vulnerable Populations using LLMs with Enhanced Safety, Fairness, and Controllability cites this paper.

PromptGuard: An Orchestrated Prompting Framework for Principled Synthetic Text Generation for Vulnerable Populations using LLMs with Enhanced Safety, Fairness, and Controllability A Prompt Pattern Catalog to Enhance Prompt Engineering with ChatGPT

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-04T20:04:29.340747Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c69757cf-89d2-4db7-baa1-8fa3c0cf61fa · inbound

LearnLens: An AI-Enhanced Dashboard to Support Teachers in Open-Ended Classrooms cites this paper.

LearnLens: An AI-Enhanced Dashboard to Support Teachers in Open-Ended Classrooms A Prompt Pattern Catalog to Enhance Prompt Engineering with ChatGPT

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-04T18:32:08.409143Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dcd669a9-2607-4626-9d57-b02300fd231a · inbound

LAD-VF: LLM-Automatic Differentiation Enables Fine-Tuning-Free Robot Planning from Formal Methods Feedback cites this paper.

LAD-VF: LLM-Automatic Differentiation Enables Fine-Tuning-Free Robot Planning from Formal Methods Feedback A Prompt Pattern Catalog to Enhance Prompt Engineering with ChatGPT

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-04T15:47:11.468854Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0d4d71ef-c2ca-4199-b9bc-31a93c8b048d · inbound

Agentic AI Security: Threats, Defenses, Evaluation, and Open Challenges cites this paper.

Agentic AI Security: Threats, Defenses, Evaluation, and Open Challenges A Prompt Pattern Catalog to Enhance Prompt Engineering with ChatGPT

Reference 56

Resolution: verified exact; local_arxiv, observed 2026-05-18T03:42:22.439954Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 64079b29-d23b-4b63-ac28-5f9ede626658 · inbound

Empirical Prompt Engineering for Construct Identification with Large Language Models cites this paper.

Empirical Prompt Engineering for Construct Identification with Large Language Models A Prompt Pattern Catalog to Enhance Prompt Engineering with ChatGPT

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-03T18:45:13.288751Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e8c011c8-95b0-49b9-9406-99e0b999e30f · inbound

Using street view images and visual LLMs to predict heritage values for governance support: Risks, ethics, and policy implications cites this paper.

Using street view images and visual LLMs to predict heritage values for governance support: Risks, ethics, and policy implications A Prompt Pattern Catalog to Enhance Prompt Engineering with ChatGPT

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-03T14:53:01.824471Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 17b0b541-5004-4e5c-8535-51dbc83a2bd1 · inbound

Compass vs Railway Tracks: Unpacking User Mental Models for Communicating Long-Horizon Work to Humans vs. AI cites this paper.

Compass vs Railway Tracks: Unpacking User Mental Models for Communicating Long-Horizon Work to Humans vs. AI A Prompt Pattern Catalog to Enhance Prompt Engineering with ChatGPT

Reference 80

Resolution: verified exact; local_arxiv, observed 2026-05-16T14:11:01.436195Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 19217dd9-f994-4ad9-9511-247eed19a7ac · inbound

SoK: Agentic Skills -- Beyond Tool Use in LLM Agents cites this paper.

SoK: Agentic Skills -- Beyond Tool Use in LLM Agents A Prompt Pattern Catalog to Enhance Prompt Engineering with ChatGPT

Reference 27

Resolution: verified exact; arxiv_id, observed 2026-05-15T07:09:17.033947Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation b3bfcc6f-9e5b-4597-beae-8310f8a47c7e · inbound

Language Model Goal Selection Differs from Humans' in a Self-Directed Learning Task cites this paper.

Language Model Goal Selection Differs from Humans' in a Self-Directed Learning Task A Prompt Pattern Catalog to Enhance Prompt Engineering with ChatGPT

Reference 20

Resolution: verified exact; local_arxiv, observed 2026-05-16T06:50:42.316779Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 83d96484-dc52-41a7-842c-172d791d66d9 · inbound

Context Over Compute Human-in-the-Loop Outperforms Iterative Chain-of-Thought Prompting in Interview Answer Quality cites this paper.

Context Over Compute Human-in-the-Loop Outperforms Iterative Chain-of-Thought Prompting in Interview Answer Quality A Prompt Pattern Catalog to Enhance Prompt Engineering with ChatGPT

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-02T23:23:41.536942Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9b9ef078-b5ac-4f77-b663-b31d0e257366 · 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 A Prompt Pattern Catalog to Enhance Prompt Engineering with ChatGPT

Reference 45

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 c54c5339-4b84-40bb-9028-5ea423309b45 · inbound

Architecture Without Architects: How AI Coding Agents Shape Software Architecture cites this paper.

Architecture Without Architects: How AI Coding Agents Shape Software Architecture A Prompt Pattern Catalog to Enhance Prompt Engineering with ChatGPT

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-15T07:09:17.033947Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 808273b6-bf50-4362-a1a8-aca1e20f3747 · inbound

LLM2Manim: Pedagogy-Aware AI Generation of STEM Animations cites this paper.

LLM2Manim: Pedagogy-Aware AI Generation of STEM Animations A Prompt Pattern Catalog to Enhance Prompt Engineering with ChatGPT

Reference 52

Resolution: verified exact; arxiv_id, observed 2026-05-15T07:09:17.033947Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation b7e7f527-bf7a-4327-960a-af806386afaa · inbound

Figures as Interfaces: Toward LLM-Native Artifacts for Scientific Discovery cites this paper.

Figures as Interfaces: Toward LLM-Native Artifacts for Scientific Discovery A Prompt Pattern Catalog to Enhance Prompt Engineering with ChatGPT

Reference 94

Resolution: verified exact; arxiv_id, observed 2026-05-15T07:09:17.033947Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation a78e4d57-4b8f-4113-90ee-b968203d0483 · inbound

STaR-DRO: Stateful Tsallis Reweighting for Group-Robust Structured Prediction cites this paper.

STaR-DRO: Stateful Tsallis Reweighting for Group-Robust Structured Prediction A Prompt Pattern Catalog to Enhance Prompt Engineering with ChatGPT

Reference 21

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T07:09:17.033947Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation d911b5e4-6a3e-4fc2-8a06-9370a45063e4 · inbound

Enhanced Self-Learning with Epistemologically-Informed LLM Dialogue cites this paper.

Enhanced Self-Learning with Epistemologically-Informed LLM Dialogue A Prompt Pattern Catalog to Enhance Prompt Engineering with ChatGPT

Reference 109

Resolution: verified exact; arxiv_id, observed 2026-05-15T07:09:17.033947Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 6d9b7c64-39f2-46af-8277-04238e101e50 · inbound

Nanomentoring: Investigating How Quickly People Can Help People Learn Feature-Rich Software cites this paper.

Nanomentoring: Investigating How Quickly People Can Help People Learn Feature-Rich Software A Prompt Pattern Catalog to Enhance Prompt Engineering with ChatGPT

Reference 41

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T07:09:17.033947Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation dd3aa238-3696-40b4-adc3-e3173adb817f · inbound

The PICCO Framework for Large Language Model Prompting: A Taxonomy and Reference Architecture for Prompt Structure cites this paper.

The PICCO Framework for Large Language Model Prompting: A Taxonomy and Reference Architecture for Prompt Structure A Prompt Pattern Catalog to Enhance Prompt Engineering with ChatGPT

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-15T07:09:17.033947Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 64dfe68e-983e-42d7-aef8-a88f1121581b · inbound

When the Loop Closes: Architectural Limits of In-Context Isolation, Metacognitive Co-option, and the Two-Target Design Problem in Human-LLM Systems cites this paper.

When the Loop Closes: Architectural Limits of In-Context Isolation, Metacognitive Co-option, and the Two-Target Design Problem in Human-LLM Systems A Prompt Pattern Catalog to Enhance Prompt Engineering with ChatGPT

Reference 32

Resolution: verified exact; local_arxiv, observed 2026-05-15T12:15:34.636381Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation cbbdd89f-6e5f-4ef4-9561-c9ec873fed6d · inbound

When the Loop Closes: Architectural Limits of In-Context Isolation, Metacognitive Co-option, and the Two-Target Design Problem in Human-LLM Systems cites this paper.

Reference 32

Resolution: verified exact; local_arxiv, observed 2026-05-21T11:00:02.074221Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation b7912a51-dd73-4196-a7c9-d254efc54d1b · inbound

Transparent and Controllable Recommendation Filtering via Multimodal Multi-Agent Collaboration cites this paper.

Transparent and Controllable Recommendation Filtering via Multimodal Multi-Agent Collaboration A Prompt Pattern Catalog to Enhance Prompt Engineering with ChatGPT

Reference 30

Resolution: verified exact; arxiv_id, observed 2026-05-15T07:09:17.033947Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation b443d785-425e-4458-b2a1-b37e9852c92f · inbound

From Natural Language to Verified Code: Toward AI Assisted Problem-to-Code Generation with Dafny-Based Formal Verification cites this paper.

From Natural Language to Verified Code: Toward AI Assisted Problem-to-Code Generation with Dafny-Based Formal Verification A Prompt Pattern Catalog to Enhance Prompt Engineering with ChatGPT

Reference 90

Resolution: verified exact; arxiv_id, observed 2026-05-15T07:09:17.033947Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation a0d17d51-312d-453f-9b1c-f13c1a11bd60 · inbound

When Prompt Under-Specification Improves Code Correctness: An Exploratory Study of Prompt Wording and Structure Effects on LLM-Based Code Generation cites this paper.

When Prompt Under-Specification Improves Code Correctness: An Exploratory Study of Prompt Wording and Structure Effects on LLM-Based Code Generation A Prompt Pattern Catalog to Enhance Prompt Engineering with ChatGPT

Reference 41

Resolution: verified exact; arxiv_id, observed 2026-05-15T07:09:17.033947Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 1c50e2f7-b229-4ede-8471-62254f8d5c87 · inbound

Conventional Commit Classification using Large Language Models and Prompt Engineering cites this paper.

Conventional Commit Classification using Large Language Models and Prompt Engineering A Prompt Pattern Catalog to Enhance Prompt Engineering with ChatGPT

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-05-15T07:09:17.033947Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 7b8b9776-045f-490c-86e9-5828a2b73aa8 · inbound

CA-SQL: Complexity-Aware Inference Time Reasoning for Text-to-SQL via Exploration and Compute Budget Allocation cites this paper.

CA-SQL: Complexity-Aware Inference Time Reasoning for Text-to-SQL via Exploration and Compute Budget Allocation A Prompt Pattern Catalog to Enhance Prompt Engineering with ChatGPT

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-05-15T07:09:17.033947Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation a6bc48f6-a8af-48a6-90c2-ff42d24828ec · inbound

Benchmarking LLM-Based Static Analysis for Secure Smart Contract Development: Reliability, Limitations, and Potential Hybrid Solutions cites this paper.

Benchmarking LLM-Based Static Analysis for Secure Smart Contract Development: Reliability, Limitations, and Potential Hybrid Solutions A Prompt Pattern Catalog to Enhance Prompt Engineering with ChatGPT

Reference 29

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T07:09:17.033947Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 32ddc856-f38d-4d74-bf23-766191cffe33 · inbound

Stories in Space: In-Context Learning Trajectories in Conceptual Belief Space cites this paper.

Stories in Space: In-Context Learning Trajectories in Conceptual Belief Space A Prompt Pattern Catalog to Enhance Prompt Engineering with ChatGPT

Reference 149

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T07:09:17.033947Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 786cad71-9d92-4041-a441-faf8ff0296a3 · inbound

User Reviews as a Source for Usability Requirements: A Precursor Study on Using Large Language Models cites this paper.

User Reviews as a Source for Usability Requirements: A Precursor Study on Using Large Language Models A Prompt Pattern Catalog to Enhance Prompt Engineering with ChatGPT

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-05-15T07:09:17.033947Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation f0a68b0c-e40d-4709-95ae-cd2cf639a280 · inbound

Characterizing Readability Issue Patterns and the Role of Prompt Design in LLM-Generated Code cites this paper.

Characterizing Readability Issue Patterns and the Role of Prompt Design in LLM-Generated Code A Prompt Pattern Catalog to Enhance Prompt Engineering with ChatGPT

Reference 102

Resolution: verified exact; arxiv_id, observed 2026-05-15T07:09:17.033947Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 43df76c1-22c1-4733-a782-7483a560aa5a · inbound

Characterizing Readability Issue Patterns and the Role of Prompt Design in LLM-Generated Code cites this paper.

Characterizing Readability Issue Patterns and the Role of Prompt Design in LLM-Generated Code A Prompt Pattern Catalog to Enhance Prompt Engineering with ChatGPT

Reference 93

Resolution: unresolved; no resolver link, observed 2026-08-04T05:12:37.309561Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fda0fd3b-2ef4-40bf-bdfb-5adaae6670ae · inbound

Making OpenAPI Documentation Agent-Ready: Detecting Documentation and REST Smells with a Multi-Agent LLM System cites this paper.

Making OpenAPI Documentation Agent-Ready: Detecting Documentation and REST Smells with a Multi-Agent LLM System A Prompt Pattern Catalog to Enhance Prompt Engineering with ChatGPT

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-05-15T07:09:17.033947Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 16529a70-ac6f-4c5f-a253-14ac3abd3ed8 · inbound

From Text to DSL: Evaluating Grammar-Based Model Generation Using Open LLMs cites this paper.

From Text to DSL: Evaluating Grammar-Based Model Generation Using Open LLMs A Prompt Pattern Catalog to Enhance Prompt Engineering with ChatGPT

Reference 1

Resolution: verified exact; local_arxiv, observed 2026-05-20T16:43:34.794851Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation a3205521-5e19-4f3d-b7a3-b2b52fe518f0 · inbound

LLMs in Qualitative Research: Opportunities, Limitations, and Practical Considerations cites this paper.

LLMs in Qualitative Research: Opportunities, Limitations, and Practical Considerations A Prompt Pattern Catalog to Enhance Prompt Engineering with ChatGPT

Reference 59

Resolution: verified exact; local_arxiv, observed 2026-05-20T16:03:33.118695Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 35d70b08-140a-4b42-b744-871087a366ae · inbound

Multilingual and Multimodal LLMs in the Wild: Building for Low-Resource Languages cites this paper.

Multilingual and Multimodal LLMs in the Wild: Building for Low-Resource Languages A Prompt Pattern Catalog to Enhance Prompt Engineering with ChatGPT

Reference 221

Resolution: metadata mismatch; local_arxiv, observed 2026-05-20T14:38:21.720975Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 7c3764a0-84d6-4550-b67f-4d06bc8621a6 · inbound

Towards SocratiCode: Designing a Generative AI-Based Programming Tutor for K-12 Students through a 4-Week Participatory Design Study cites this paper.

Towards SocratiCode: Designing a Generative AI-Based Programming Tutor for K-12 Students through a 4-Week Participatory Design Study A Prompt Pattern Catalog to Enhance Prompt Engineering with ChatGPT

Reference 35

Resolution: verified exact; local_arxiv, observed 2026-05-20T09:43:11.181493Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 5ff9d320-0dae-4226-97cb-c22c2614a27e · inbound

Trustworthy Agent Network: Trust in Agent Networks Must Be Baked In, Not Bolted On cites this paper.

Trustworthy Agent Network: Trust in Agent Networks Must Be Baked In, Not Bolted On A Prompt Pattern Catalog to Enhance Prompt Engineering with ChatGPT

Reference 64

Resolution: verified exact; local_arxiv, observed 2026-05-20T10:33:12.386877Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation bb09877a-350f-4006-a338-ba4bc36716a6 · inbound

Robotics-Inspired Guardrails for Foundation Models in Socially Sensitive Domains cites this paper.

Robotics-Inspired Guardrails for Foundation Models in Socially Sensitive Domains A Prompt Pattern Catalog to Enhance Prompt Engineering with ChatGPT

Reference 49

Resolution: verified exact; local_arxiv, observed 2026-05-20T05:48:04.504180Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 9838f619-b9cc-48d4-a10d-9b61e670dc90 · inbound

From Model Scaling to System Scaling: Scaling the Harness in Agentic AI cites this paper.

From Model Scaling to System Scaling: Scaling the Harness in Agentic AI A Prompt Pattern Catalog to Enhance Prompt Engineering with ChatGPT

Reference 37

Resolution: verified exact; local_arxiv, observed 2026-06-29T21:33:59.167468Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation f6c59628-6049-4c16-bd9e-3ca1c45f52d3 · inbound

Augment Engineering: A Methodology for Multi-Tool AI Orchestration Across Professional Domains cites this paper.

Augment Engineering: A Methodology for Multi-Tool AI Orchestration Across Professional Domains A Prompt Pattern Catalog to Enhance Prompt Engineering with ChatGPT

Reference 2

Resolution: verified exact; local_arxiv, observed 2026-06-30T14:34:45.652066Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 8357fe00-3891-4ba0-8a72-729d42a7be99 · inbound

UniD$^3$: A Knowledge Graph-Enhanced RAG Framework for Drug-Disease Discovery and Reasoning cites this paper.

UniD$^3$: A Knowledge Graph-Enhanced RAG Framework for Drug-Disease Discovery and Reasoning A Prompt Pattern Catalog to Enhance Prompt Engineering with ChatGPT

Reference 39

Resolution: verified exact; local_arxiv, observed 2026-06-28T17:02:24.228548Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation a377578a-3819-4d95-923f-790db6728dd5 · inbound

SPOQ: Specialist Orchestrated Queuing for Multi-Agent Software Engineering cites this paper.

SPOQ: Specialist Orchestrated Queuing for Multi-Agent Software Engineering A Prompt Pattern Catalog to Enhance Prompt Engineering with ChatGPT

Reference 6

Resolution: metadata mismatch; local_arxiv, observed 2026-07-02T03:46:33.328701Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 758a9c40-268f-4046-a03a-4d7a30758679 · inbound

Ontology-constrained multi-LLM scoring of hypothesis support in the predictive processing literature cites this paper.

Ontology-constrained multi-LLM scoring of hypothesis support in the predictive processing literature A Prompt Pattern Catalog to Enhance Prompt Engineering with ChatGPT

Reference 58

Resolution: metadata mismatch; local_arxiv, observed 2026-06-30T11:54:37.863057Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation a2564442-da87-4ab6-8443-96af8b5c3e18 · inbound

Moodie: An Early-Stage Design Exploration for Supporting Fear of Missing Out with LLM-based Chatbots cites this paper.

Moodie: An Early-Stage Design Exploration for Supporting Fear of Missing Out with LLM-based Chatbots A Prompt Pattern Catalog to Enhance Prompt Engineering with ChatGPT

Reference 44

Resolution: verified exact; local_arxiv, observed 2026-07-02T20:07:21.655321Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 719abf80-c2c9-4ba7-b012-d6ce6ae27924 · inbound

Curation of a Cardiology Interface Terminology for Highlighting Electronic Health Records using Machine Learning cites this paper.

Curation of a Cardiology Interface Terminology for Highlighting Electronic Health Records using Machine Learning A Prompt Pattern Catalog to Enhance Prompt Engineering with ChatGPT

Reference 45

Resolution: verified exact; local_arxiv, observed 2026-07-02T21:47:28.301531Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 3d5e4633-985a-4a53-a6a0-06f5fb5271a0 · inbound

NAVI-Orbital: First In-Orbit Demonstration of a Zero-Shot Vision-Language Model for Autonomous Earth Observation cites this paper.

NAVI-Orbital: First In-Orbit Demonstration of a Zero-Shot Vision-Language Model for Autonomous Earth Observation A Prompt Pattern Catalog to Enhance Prompt Engineering with ChatGPT

Reference 35

Resolution: verified exact; local_arxiv, observed 2026-07-02T18:57:16.748245Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation c920b9a9-90ac-40a4-ba5b-b7e2e106614b · inbound

Buildrix: An Open Platform for Sharing and Benchmarking Agentic AI Skills in Building Engineering cites this paper.

Buildrix: An Open Platform for Sharing and Benchmarking Agentic AI Skills in Building Engineering A Prompt Pattern Catalog to Enhance Prompt Engineering with ChatGPT

Reference 4

Resolution: verified exact; local_arxiv, observed 2026-07-04T19:10:05.108096Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation f6f16ad9-6f88-4ea1-bf99-062deee9533f · inbound

The impact of artificial intelligence on enterprise software user roles cites this paper.

The impact of artificial intelligence on enterprise software user roles A Prompt Pattern Catalog to Enhance Prompt Engineering with ChatGPT

Reference 39

Resolution: metadata mismatch; local_arxiv, observed 2026-06-27T04:00:28.480121Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 814179a9-9e11-43d0-bdcc-c6595ff5c3d2 · inbound

AC3S: Adaptive Conditioning for 3D-Aware Synthetic Data Generation cites this paper.

AC3S: Adaptive Conditioning for 3D-Aware Synthetic Data Generation A Prompt Pattern Catalog to Enhance Prompt Engineering with ChatGPT

Reference 49

Resolution: metadata mismatch; local_arxiv, observed 2026-07-01T09:45:40.423928Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 637c3074-d8b0-48e9-9fcb-b77215c4ebdf · inbound

A Taxonomy of Single-Turn Textual Prompt Patterns cites this paper.

A Taxonomy of Single-Turn Textual Prompt Patterns A Prompt Pattern Catalog to Enhance Prompt Engineering with ChatGPT

Reference 4

Resolution: verified exact; local_arxiv, observed 2026-07-02T20:27:21.991562Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation cfff27cb-6441-4f88-a039-bf841c605596 · inbound

From Registry to Repository: How AI Agent Skills Are Written, Adapted, and Maintained cites this paper.

From Registry to Repository: How AI Agent Skills Are Written, Adapted, and Maintained A Prompt Pattern Catalog to Enhance Prompt Engineering with ChatGPT

Reference 18

Resolution: verified exact; local_arxiv, observed 2026-07-02T08:36:47.552137Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 0d002db0-7ea4-4f2b-8f93-f0f774a0b4ad · inbound

From Registry to Repository: How AI Agent Skills Are Written, Adapted, and Maintained cites this paper.

From Registry to Repository: How AI Agent Skills Are Written, Adapted, and Maintained A Prompt Pattern Catalog to Enhance Prompt Engineering with ChatGPT

Reference 18

Resolution: unresolved; no resolver link, observed 2026-07-12T09:11:24.259633Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9231afa8-5651-4613-9731-3634a2b2c01b · inbound

Prompt Coach: An Empirical Evaluation of an Agentic Tutor for Learning Prompt Engineering in Software Development cites this paper.

Prompt Coach: An Empirical Evaluation of an Agentic Tutor for Learning Prompt Engineering in Software Development A Prompt Pattern Catalog to Enhance Prompt Engineering with ChatGPT

Reference 40

Resolution: verified exact; local_arxiv, observed 2026-07-08T17:35:09.811178Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation e40c15cc-ed00-406d-93b1-f13d4c90f29c · inbound

Automatically Evolving Prompt Guidelines for Task-Specific Optimization cites this paper.

Automatically Evolving Prompt Guidelines for Task-Specific Optimization A Prompt Pattern Catalog to Enhance Prompt Engineering with ChatGPT

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-02T14:46:34.725788Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d4d29b72-b7f8-4692-93ba-fcb830e7212f · inbound

Persona-as-Configuration: Generative Stakeholder Reporting for Agricultural Floods cites this paper.

Persona-as-Configuration: Generative Stakeholder Reporting for Agricultural Floods A Prompt Pattern Catalog to Enhance Prompt Engineering with ChatGPT

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-01T17:06:57.151974Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 06acea4b-b1bc-4945-ab34-a7e414fd5ee7 · inbound

Evaluating Large Language Models for Symbolic Security Protocol Analysis cites this paper.

Evaluating Large Language Models for Symbolic Security Protocol Analysis A Prompt Pattern Catalog to Enhance Prompt Engineering with ChatGPT

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-01T09:38:47.940209Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3a38e2ae-1018-42d0-a623-1c72983c0bb4 · inbound

ARdena: Scenario-driven control of real-time LLM agents cites this paper.

ARdena: Scenario-driven control of real-time LLM agents A Prompt Pattern Catalog to Enhance Prompt Engineering with ChatGPT

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-02T09:53:51.460618Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 79ead4ae-4e01-4815-92da-a120e0c727e4 · inbound

AssumptionMiner: Extracting, Tracing, and Revising Implicit Assumptions in LLM Code Generation cites this paper.

AssumptionMiner: Extracting, Tracing, and Revising Implicit Assumptions in LLM Code Generation A Prompt Pattern Catalog to Enhance Prompt Engineering with ChatGPT

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-01T04:15:28.705560Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 60c3fdd2-6314-4444-a1d4-c82a8e2f7e83 · inbound

E-Bench: Benchmarking Multi-Step Tool-Use Agents in Real-World Product Scenarios cites this paper.

E-Bench: Benchmarking Multi-Step Tool-Use Agents in Real-World Product Scenarios A Prompt Pattern Catalog to Enhance Prompt Engineering with ChatGPT

Reference 41

Resolution: unresolved; no resolver link, observed 2026-07-30T15:06:50.635692Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 09c09a26-2eb7-4188-a66e-f7914423a6b8 · inbound

Visual prompt engineering for video models cites this paper.

Visual prompt engineering for video models A Prompt Pattern Catalog to Enhance Prompt Engineering with ChatGPT

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-01T02:13:11.462591Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1925a61e-c026-4a95-a953-1412b0af8099 · inbound

What makes prompts a graph: necessary and sufficient conditions for prompt graph engineering cites this paper.

What makes prompts a graph: necessary and sufficient conditions for prompt graph engineering A Prompt Pattern Catalog to Enhance Prompt Engineering with ChatGPT

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-01T05:22:43.073612Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1e9c3f4b-16f9-47d4-a90c-f31f37f55352 · inbound

Asymmetric Communication: Large Language Models and Language Games cites this paper.

Asymmetric Communication: Large Language Models and Language Games A Prompt Pattern Catalog to Enhance Prompt Engineering with ChatGPT

Reference 74

Resolution: unresolved; no resolver link, observed 2026-07-31T16:43:59.021372Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.