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Paper Citation Record · LEDGER

Prompting in the Wild: An Empirical Study of Prompt Evolution in Software Repositories

As of 12 August 2026, this Paper Citation Record lists 58 of 58 outbound references and 2 inbound Pith citation observations for arXiv:2412.17298.

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

pith.paper-citation-record.v1
2412.17298 v2

Coverage vector

measured 58 of 58 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T05:41:06.307482Z

measured 60 of 60 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T23:50:49.737612Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-22T14:04:53.196281Z

Reference resolution

58 of 58 outbound references displayed

  • verified exact2
  • verified fuzzy27
  • unresolved29
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 9bd41d24-b43f-411b-af10-2d6ec1b892cc · outbound

This paper cites Abridge: Medical conversation summarization,.

Prompting in the Wild: An Empirical Study of Prompt Evolution in Software Repositories Abridge: Medical conversation summarization,

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T05:41:07.301507Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T05:41:06.053005Z digest=sha256:f9881b8b47667b6621e8f950867060c0171d1daeb56ca28b22d37a24d5632bc6

Observation 9b8665cd-0c4e-4fa6-a245-3b3a09efd313 · outbound

This paper cites Multi-language software development in the llm era: Insights from practitioners’ conversations with chatgpt,.

Prompting in the Wild: An Empirical Study of Prompt Evolution in Software Repositories Multi-language software development in the llm era: Insights from practitioners’ conversations with chatgpt,

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-11T05:41:06.057501Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T05:41:06.057501Z digest=sha256:cb48cf0ba2134e6b27e1f98d5f72594ca8079309adcc5037f150b49eabcc5b06

Observation 3602824d-c5f2-43a1-b710-776d31b0631b · outbound

This paper cites Semantic scholar,.

Prompting in the Wild: An Empirical Study of Prompt Evolution in Software Repositories Semantic scholar,

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T05:41:07.288351Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T05:41:06.061923Z digest=sha256:e82f8abc846fd8bec4c78eff183d315dcf6fd591b43c5d736c4e30142d278ce9

Observation 79f84304-8273-4bc6-b55c-0d637324bb98 · outbound

This paper cites GPT Store Statistics & Facts,.

Prompting in the Wild: An Empirical Study of Prompt Evolution in Software Repositories GPT Store Statistics & Facts,

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T05:41:07.276664Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T05:41:06.065824Z digest=sha256:c192fb1ae2a25ceb2ccccf8dc7e99f12c118238f977e74f4bfef4436cfb17491

Observation e0e6acbc-9a6c-4351-92b5-56b1dc86ba44 · outbound

This paper cites Demystifying Issues, Causes and Solutions in LLM Open-Source Projects.

Prompting in the Wild: An Empirical Study of Prompt Evolution in Software Repositories Demystifying Issues, Causes and Solutions in LLM Open-Source Projects

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-11T05:41:06.069782Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T05:41:06.069782Z digest=sha256:8d9f792725fb0618644e9f23e6f33babde74c138ee60b0c1c833242b4f1e08eb

Observation 7c206844-7466-4356-9e1f-39c1f4677b81 · outbound

This paper cites Corbin and A.

Prompting in the Wild: An Empirical Study of Prompt Evolution in Software Repositories Corbin and A

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T05:41:07.265620Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T05:41:06.073880Z digest=sha256:ddff6b449e2e68ac0af84fed74e2694b7f03109b807d53bd5f9f8a13fb025331

Observation 2a4575bd-7fdd-47ee-8799-24c0afa9c221 · outbound

This paper cites Exploring Prompt Engineering Practices in the Enterprise.

Prompting in the Wild: An Empirical Study of Prompt Evolution in Software Repositories Exploring Prompt Engineering Practices in the Enterprise

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-11T05:41:06.077895Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T05:41:06.077895Z digest=sha256:979df1e50ed913ee8b421e78bc8ae25d44dfcdc719d9271f471a77fe8e916415

Observation d85d3d50-2d2b-41a1-b425-92c9237b695d · outbound

This paper cites Fira: fine-grained graph-based code change representation for automated commit message generation,.

Prompting in the Wild: An Empirical Study of Prompt Evolution in Software Repositories Fira: fine-grained graph-based code change representation for automated commit message generation,

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T05:41:07.254212Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T05:41:06.081891Z digest=sha256:993c821f5f4450b7af1ff8f4eb7186b242c1085388f22e80c69805f637d59f73

Observation f27770ab-fb51-436e-ac8b-080897966f5d · outbound

This paper cites The Llama 3 Herd of Models.

Prompting in the Wild: An Empirical Study of Prompt Evolution in Software Repositories The Llama 3 Herd of Models

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-11T05:41:06.085515Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T05:41:06.085515Z digest=sha256:43d1e3337a7cada5eb289b726d8c6166f1ba16d1d55812e01049560d59814a0a

Observation 55bb921d-859e-4291-9873-4d9355c60111 · outbound

This paper cites A comparison of features for automatic readability assessment,.

Prompting in the Wild: An Empirical Study of Prompt Evolution in Software Repositories A comparison of features for automatic readability assessment,

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T05:41:07.242660Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T05:41:06.089495Z digest=sha256:7e84adcce26d0c62a1c00a4fb4551b94b00f7c7af7b821484f3f577c0ac9d0af

Observation 0c255de1-08e6-4caa-a121-ef8a41008a21 · outbound

This paper cites Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution.

Prompting in the Wild: An Empirical Study of Prompt Evolution in Software Repositories Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-11T05:41:06.093393Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T05:41:06.093393Z digest=sha256:9681bebca368ce6c27331d794c2399ac5bac322a41500456cc1a6ccd036bc7eb

Observation 388b8f7b-5961-4a18-bbb8-5acdc001f541 · outbound

This paper cites What makes good in-context demonstrations for code intelligence tasks with llms?.

Prompting in the Wild: An Empirical Study of Prompt Evolution in Software Repositories What makes good in-context demonstrations for code intelligence tasks with llms?

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-11T05:41:06.097257Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T05:41:06.097257Z digest=sha256:a67e48948eef982ee7c64a5d0e21bf0131d90a2e15e4c14b86ad29d43d632069

Observation bdec5009-978b-442e-9fd6-607476b375c6 · outbound

This paper cites GitHub Copilot,.

Prompting in the Wild: An Empirical Study of Prompt Evolution in Software Repositories GitHub Copilot,

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T05:41:07.223137Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T05:41:06.100760Z digest=sha256:ae10578bc29eb591f29e2a87170ac949ffd5a2645bd486313db9929c8c955c6e

Observation e55fc0d6-2dc2-4d42-99b5-11a6041bc525 · outbound

This paper cites Rethinking software engineering in the era of foundation models: A curated catalogue of challenges in the development of trustworthy fmware,.

Prompting in the Wild: An Empirical Study of Prompt Evolution in Software Repositories Rethinking software engineering in the era of foundation models: A curated catalogue of challenges in the development of trustworthy fmware,

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-11T05:41:06.104426Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T05:41:06.104426Z digest=sha256:d4a733926205f1339f2d988ec5ca05034f361f50485ab051121e56bb9bdacd8a

Observation b23f21e4-b1c0-46b0-9204-455b7ec4406c · outbound

This paper cites Quantifying the Persona Effect in LLM Simulations.

Prompting in the Wild: An Empirical Study of Prompt Evolution in Software Repositories Quantifying the Persona Effect in LLM Simulations

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-11T05:41:06.108023Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T05:41:06.108023Z digest=sha256:85f7179efc9fb65c397119dca22f26755815f1287cd6a5450eb6cbbd0812965a

Observation aac0f0c4-82b1-43a8-869b-f2db5198d4f8 · outbound

This paper cites Ibm watson assistant,.

Prompting in the Wild: An Empirical Study of Prompt Evolution in Software Repositories Ibm watson assistant,

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T05:41:07.211083Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T05:41:06.112302Z digest=sha256:308f8a6ffbb05b737f73b3fa4d1290ae8426f659cf0880583a75cd74656c229f

Observation e9f82e4d-fea1-4eda-89ea-cad8486a6a6c · outbound

This paper cites Context Conquers Parameters: Outperforming Proprietary LLM in Commit Message Generation.

Prompting in the Wild: An Empirical Study of Prompt Evolution in Software Repositories Context Conquers Parameters: Outperforming Proprietary LLM in Commit Message Generation

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-11T05:41:06.115992Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T05:41:06.115992Z digest=sha256:4a23c27f28d036f9a20252e2d1be40ffdd55d045edfc4a9ac7091e04d358c2f7

Observation 24018a7e-d3e4-4416-8498-915d263b9328 · outbound

This paper cites Inc., “Cursor,” 2024, version 1.0.

Prompting in the Wild: An Empirical Study of Prompt Evolution in Software Repositories Inc., “Cursor,” 2024, version 1.0

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T05:41:07.199863Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T05:41:06.120179Z digest=sha256:18b39a5f27222c0fd2f0056986b0d39bbcc56dd01095099e7e9628039d37f7e3

Observation 36f2e5ec-2dc8-4899-a549-4983b6dafb89 · outbound

This paper cites Elicit: The ai research assistant,.

Prompting in the Wild: An Empirical Study of Prompt Evolution in Software Repositories Elicit: The ai research assistant,

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T05:41:07.188563Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T05:41:06.125389Z digest=sha256:7d38a8f1101c7030f890076502388c4ac6452bbfe654164b5439a9beb7cca1d1

Observation 1ec443c1-5108-43f8-9d92-e06fbe8beadf · outbound

This paper cites Research rabbit,.

Prompting in the Wild: An Empirical Study of Prompt Evolution in Software Repositories Research rabbit,

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T05:41:07.176321Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T05:41:06.129578Z digest=sha256:bf62aa2ed4767c698503fb02d922df63ebf5081583b075ba6bf92c494a7e26f3

Observation e3f40e59-0c09-48b4-b198-4c50c6f00059 · outbound

This paper cites Tabnine: Ai code assistant,.

Prompting in the Wild: An Empirical Study of Prompt Evolution in Software Repositories Tabnine: Ai code assistant,

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T05:41:07.164812Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T05:41:06.133360Z digest=sha256:67d10ad63eca6a8723c0b4a897be4dea84a83c6183cda498bb9f99a46ef70d58

Observation c9e26515-2568-4bfb-a45f-047f2b56a4b5 · outbound

This paper cites Infermedica: Medical triage and symptom checker,.

Prompting in the Wild: An Empirical Study of Prompt Evolution in Software Repositories Infermedica: Medical triage and symptom checker,

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T05:41:07.153230Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T05:41:06.137089Z digest=sha256:b2ee0f598f0ac06b0808120e8f173c48045d27824a1333ffcbe80fc5bb2ac9aa

Observation 87094b24-249d-4a1c-99d6-b1fa93247ea4 · outbound

This paper cites Identifying and Mitigating Vulnerabilities in LLM-Integrated Applications.

Prompting in the Wild: An Empirical Study of Prompt Evolution in Software Repositories Identifying and Mitigating Vulnerabilities in LLM-Integrated Applications

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-11T05:41:06.140719Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T05:41:06.140719Z digest=sha256:fc7aefd8f74141f3570a807bce633da10d4bb9bd27087dfc3b953c65383657bd

Observation ee4aad15-e074-40e3-b4cd-1486aa3c3666 · outbound

This paper cites The promises and perils of mining github,.

Prompting in the Wild: An Empirical Study of Prompt Evolution in Software Repositories The promises and perils of mining github,

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-11T05:41:06.144415Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T05:41:06.144415Z digest=sha256:9213a8059c3dc462ae97fbed58a2f830e49e35b10250836f96abefd76d5d0fc8

Observation 80a54fc2-bca4-4394-b985-435a4c8d5ff1 · outbound

This paper cites Kai-gpt: Banking’s first purpose-built language model,.

Prompting in the Wild: An Empirical Study of Prompt Evolution in Software Repositories Kai-gpt: Banking’s first purpose-built language model,

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T05:41:07.141969Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T05:41:06.147875Z digest=sha256:2cd668e93996f551ab3f1712e152512ec7d499e09752fd16d4c63ba7f49f1d34

Observation c2da7f6d-ac4c-4888-a0ef-c7b827269a7e · outbound

This paper cites Label Studio,.

Prompting in the Wild: An Empirical Study of Prompt Evolution in Software Repositories Label Studio,

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T05:41:07.130060Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T05:41:06.151708Z digest=sha256:c02ded09a1631fd1b0795409cb8a179c2b488ca9426f4053483344239acfd9fd

Observation aed18741-c5e1-42b5-873c-003cda8832db · outbound

This paper cites The measurement of observer agreement for categorical data,.

Prompting in the Wild: An Empirical Study of Prompt Evolution in Software Repositories The measurement of observer agreement for categorical data,

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-11T05:41:06.166079Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T05:41:06.166079Z digest=sha256:71c4e5db43c0e3e92fc90c353ef747f3d46258fe962906d246284d895659d848

Observation e1d48de8-adcf-4878-84f6-8ec4427a9d00 · outbound

This paper cites Only diff is not enough: Generating commit messages leveraging reasoning and action of large language model,.

Prompting in the Wild: An Empirical Study of Prompt Evolution in Software Repositories Only diff is not enough: Generating commit messages leveraging reasoning and action of large language model,

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T05:41:07.109779Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T05:41:06.170511Z digest=sha256:1b4a3633bfe61f808360c04f2d2734c6b1349e84fba469105a78162cfdfdf961

Observation fbcf8bed-f946-4a04-aad8-8f441aa1212c · outbound

This paper cites ContraDoc: Understanding Self-Contradictions in Documents with Large Language Models.

Prompting in the Wild: An Empirical Study of Prompt Evolution in Software Repositories ContraDoc: Understanding Self-Contradictions in Documents with Large Language Models

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-11T05:41:06.174679Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T05:41:06.174679Z digest=sha256:b5c5b5710ac5eac8d81a3a891808515f68e30b63f87d4a1e503ed3876a3f2c3a

Observation 125ee8d9-497a-4603-8078-e7953d962e57 · outbound

This paper cites SPELL: Semantic Prompt Evolution based on a LLM.

Prompting in the Wild: An Empirical Study of Prompt Evolution in Software Repositories SPELL: Semantic Prompt Evolution based on a LLM

Reference 30

Resolution
verified exact
local_arxiv, observed 2026-08-11T05:41:06.652204Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T05:41:06.179284Z digest=sha256:d3f05718f47a0c72fac5b390d2630e7c9d0ec21a8e772ee7f4c5672c3bf5d04f

Observation 1308ca67-01fa-4589-abd5-7c7583aab961 · outbound

This paper cites Prompts Are Programs Too! Understanding How Developers Build Software Containing Prompts.

Prompting in the Wild: An Empirical Study of Prompt Evolution in Software Repositories Prompts Are Programs Too! Understanding How Developers Build Software Containing Prompts

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-11T05:41:06.183725Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T05:41:06.183725Z digest=sha256:d309f7f893c7f597db6673ff4b462b90a4bb0d51d731ae080bdf1c415bb3c90c

Observation 7f023043-7aaf-4da7-a2ba-4b805a1d3014 · outbound

This paper cites A large-scale survey on the usability of ai programming assistants: Successes and challenges,.

Prompting in the Wild: An Empirical Study of Prompt Evolution in Software Repositories A large-scale survey on the usability of ai programming assistants: Successes and challenges,

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-11T05:41:06.188151Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T05:41:06.188151Z digest=sha256:fd304b5a049b2720f0967025445e1d99db896b2e492a9ca28f24fd237a3928e7

Observation e2473ad4-955b-4f1b-841b-f9ee36292be1 · outbound

This paper cites Rouge: A package for automatic evaluation of summaries,.

Prompting in the Wild: An Empirical Study of Prompt Evolution in Software Repositories Rouge: A package for automatic evaluation of summaries,

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-11T05:41:06.192685Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T05:41:06.192685Z digest=sha256:ac8b61e080bcb39bafc43716948b30e239225fdaf7ab69e163290cb253f7f4cb

Observation 1bae1a4b-746d-40e8-afba-e3616cdf5f03 · outbound

This paper cites Atom: Commit message generation based on abstract syntax tree and hybrid ranking,.

Prompting in the Wild: An Empirical Study of Prompt Evolution in Software Repositories Atom: Commit message generation based on abstract syntax tree and hybrid ranking,

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-11T05:41:06.196973Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T05:41:06.196973Z digest=sha256:c3ae8a71ebcb4030a1612c6a9921b116316e1316e53df3d2852386170d92ea00

Observation 5df58066-c05d-4bbc-9103-41561fe063a6 · outbound

This paper cites Rethinking the Role of Demonstrations: What Makes In-Context Learning Work?.

Prompting in the Wild: An Empirical Study of Prompt Evolution in Software Repositories Rethinking the Role of Demonstrations: What Makes In-Context Learning Work?

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-11T05:41:06.201557Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T05:41:06.201557Z digest=sha256:71f6851498861f6c21da0e31c391b96f565fdb5d807dc15327c2af723766ef16

Observation b3d9b3be-37be-4115-bb8f-a44a26658a1b · outbound

This paper cites Beyond the Comfort Zone: Emerging Solutions to Overcome Challenges in Integrating LLMs into Software Products.

Prompting in the Wild: An Empirical Study of Prompt Evolution in Software Repositories Beyond the Comfort Zone: Emerging Solutions to Overcome Challenges in Integrating LLMs into Software Products

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-11T05:41:06.205924Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T05:41:06.205924Z digest=sha256:e0f9eb60bdfa12cc400d2704bf62325ccce54b4ff89c463c2b409228bba83f7e

Observation 8c9b10ed-a668-4e73-88b9-d3bc20ac315c · outbound

This paper cites Coregen: Contextualized code representation learning for commit message gener- ation,.

Prompting in the Wild: An Empirical Study of Prompt Evolution in Software Repositories Coregen: Contextualized code representation learning for commit message gener- ation,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T05:41:07.083442Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T05:41:06.210779Z digest=sha256:21ba976f75836b46379c75ce3932d2e1dc7e78c097bc2e626722070de373903a

Observation 640d8b38-e811-44f6-8e24-5f0d7e3c716c · outbound

This paper cites Nuance dax: Ambient clinical intelligence,.

Prompting in the Wild: An Empirical Study of Prompt Evolution in Software Repositories Nuance dax: Ambient clinical intelligence,

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T05:41:07.070379Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T05:41:06.215507Z digest=sha256:55878395ec655bcb45d0a01887bffdc271d9053491ff1146424faf86d99a5e1c

Observation 5d212da5-08f2-48ce-a85e-5da8b5aec779 · outbound

This paper cites An empirical study of the non-determinism of chatgpt in code generation,.

Prompting in the Wild: An Empirical Study of Prompt Evolution in Software Repositories An empirical study of the non-determinism of chatgpt in code generation,

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T05:41:07.055080Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T05:41:06.219683Z digest=sha256:cc7e5555ed62a7a2134f772ccf10e9e4deefad6ed1a252fb9a58f7eb20fc6884

Observation 7f3fdd58-773c-4f85-ab42-9c49d92c7c13 · outbound

This paper cites Phantom: Curating github for engineered software projects using time- series clustering,.

Prompting in the Wild: An Empirical Study of Prompt Evolution in Software Repositories Phantom: Curating github for engineered software projects using time- series clustering,

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T05:41:07.040297Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T05:41:06.223885Z digest=sha256:dd3656846f5d5b7e0d68ab47e4db0238f2422491d4027448ef792fdcffa1ca39

Observation 65c4b38f-7bf5-4df3-8a80-00dd7baa6ded · outbound

This paper cites Promptset: A programmer’s prompting dataset,.

Prompting in the Wild: An Empirical Study of Prompt Evolution in Software Repositories Promptset: A programmer’s prompting dataset,

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T05:41:07.027332Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T05:41:06.228246Z digest=sha256:0317fad249ce831f4007f6c302adb331e3009acc9384aa308dbd242d4e5632b0

Observation 147680cd-10c8-4bb5-bed0-684d92c8d5e7 · outbound

This paper cites The probabilistic basis of jaccard’s index of similarity,.

Prompting in the Wild: An Empirical Study of Prompt Evolution in Software Repositories The probabilistic basis of jaccard’s index of similarity,

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T05:41:07.013583Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T05:41:06.232668Z digest=sha256:daac82d65b7542aeb4a7fadfa802df61c9cc56366ee7ffd18dcabc0265664090

Observation 228f372a-0e9f-4e93-9fa8-fb0602b0c1d6 · outbound

This paper cites A Systematic Survey of Prompt Engineering in Large Language Models: Techniques and Applications.

Prompting in the Wild: An Empirical Study of Prompt Evolution in Software Repositories A Systematic Survey of Prompt Engineering in Large Language Models: Techniques and Applications

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-11T05:41:06.237174Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T05:41:06.237174Z digest=sha256:d5ec93c8ae5c30d6a5e218f8e8fb98df56299d8a82a738d06ba2a45e5b35a9a0

Observation 44ee1bbc-37c9-4789-8271-221cfb40d863 · outbound

This paper cites Future of software development with generative ai,.

Prompting in the Wild: An Empirical Study of Prompt Evolution in Software Repositories Future of software development with generative ai,

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T05:41:07.001073Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T05:41:06.241591Z digest=sha256:83cde20ce5525384720b50236cef00da1bc5e0e9974537b25ca5a6445a38cafb

Observation 794be351-a5e9-4b4d-b6cb-babead781e60 · outbound

This paper cites The Prompt Report: A Systematic Survey of Prompt Engineering Techniques.

Prompting in the Wild: An Empirical Study of Prompt Evolution in Software Repositories The Prompt Report: A Systematic Survey of Prompt Engineering Techniques

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-11T05:41:06.245917Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T05:41:06.245917Z digest=sha256:f1aa805b7a88c37552a654e0857901888756b72f773e0cd2c8d13bb18625e69b

Observation 5c1500e9-bfdb-4de7-aeed-b578451e4ff3 · outbound

This paper cites Prompt Engineering or Fine-Tuning: An Empirical Assessment of LLMs for Code.

Prompting in the Wild: An Empirical Study of Prompt Evolution in Software Repositories Prompt Engineering or Fine-Tuning: An Empirical Assessment of LLMs for Code

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-11T05:41:06.250766Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T05:41:06.250766Z digest=sha256:ddb3627b625c6eaa6a4196fdc107b6ea8bccd344bf6dc49b3e5a06b15ff8ce6c

Observation fcb897b3-c618-4bcb-91e3-8fd3d52843a8 · outbound

This paper cites Basics of qualitative research techniques,.

Prompting in the Wild: An Empirical Study of Prompt Evolution in Software Repositories Basics of qualitative research techniques,

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-11T05:41:06.255904Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T05:41:06.255904Z digest=sha256:429b884fdbb296365fb8abc841ac7e7b6fec5fb51fcb522544ac7bc371f05e2c

Observation d2dafc95-b13f-48e3-878e-3a6d8232b359 · outbound

This paper cites How do software engineers understand code changes? an exploratory study in industry,.

Prompting in the Wild: An Empirical Study of Prompt Evolution in Software Repositories How do software engineers understand code changes? an exploratory study in industry,

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-11T05:41:06.260337Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T05:41:06.260337Z digest=sha256:c8f3a078a9e6c197d60e1c3468dd5b5c51b1c4d0a18a2a0af8382ec7bbb481cf

Observation 738255f8-c739-4482-b83a-76ee3539118e · outbound

This paper cites Report from an experiment: Impact of documentation on maintenance,.

Prompting in the Wild: An Empirical Study of Prompt Evolution in Software Repositories Report from an experiment: Impact of documentation on maintenance,

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T05:41:06.982305Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T05:41:06.265642Z digest=sha256:6d6692637350150f5660e9cc739d12788c9775267dff5b287a0b7acc089f0b3b

Observation 54a4b397-eba4-486d-a4f6-2b3160e993da · outbound

This paper cites Unveiling chatgpt’s usage in open source projects: A mining-based study,.

Prompting in the Wild: An Empirical Study of Prompt Evolution in Software Repositories Unveiling chatgpt’s usage in open source projects: A mining-based study,

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T05:41:06.970640Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T05:41:06.269997Z digest=sha256:87ff5879c8be99f1b88b9dc879119612c4d5132b32516d9ada643dbba388bd6d

Observation 304a8fc1-cc43-4f43-812b-17a04c49e98a · outbound

This paper cites Large Language Models as Software Components: A Taxonomy for LLM-Integrated Applications.

Prompting in the Wild: An Empirical Study of Prompt Evolution in Software Repositories Large Language Models as Software Components: A Taxonomy for LLM-Integrated Applications

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-11T05:41:06.274741Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T05:41:06.274741Z digest=sha256:e1b64677ca15b51fc3b24dfaaa9e072fb587028f31227ad77175fde99a9a314b

Observation 23ca0d4b-764c-483d-b599-02acc8e2870b · outbound

This paper cites Chain-of-thought prompting elicits reasoning in large language models,.

Prompting in the Wild: An Empirical Study of Prompt Evolution in Software Repositories Chain-of-thought prompting elicits reasoning in large language models,

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-11T05:41:06.283913Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T05:41:06.283913Z digest=sha256:35068828748483e699cdf0ebf643fb0ea14def3af3bd71d7934a32556f8ea0c0

Observation a6de4c20-29ec-442b-86a5-ece9fbd0c34e · outbound

This paper cites A Prompt Pattern Catalog to Enhance Prompt Engineering with ChatGPT.

Prompting in the Wild: An Empirical Study of Prompt Evolution in Software Repositories A Prompt Pattern Catalog to Enhance Prompt Engineering with ChatGPT

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-11T05:41:06.288911Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T05:41:06.288911Z digest=sha256:9dcc233b5708226b62dbac78d4302e7da73ca9b7a159aad15bf756c6a26092a1

Observation 7788ee28-7ec2-4ff3-94bb-c0e5e4fe71f6 · outbound

This paper cites BloombergGPT: A Large Language Model for Finance.

Prompting in the Wild: An Empirical Study of Prompt Evolution in Software Repositories BloombergGPT: A Large Language Model for Finance

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-11T05:41:06.298240Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T05:41:06.298240Z digest=sha256:f980376ee253cd5f79267fa44d2394bcd0e4f70ffc17e18748b889f2864643d8

Observation 8af9ead5-9ea5-4de6-85b6-98a692ba7696 · outbound

This paper cites SIFiD: Reassess Summary Factual Inconsistency Detection with LLM.

Prompting in the Wild: An Empirical Study of Prompt Evolution in Software Repositories SIFiD: Reassess Summary Factual Inconsistency Detection with LLM

Reference 55

Resolution
verified exact
local_arxiv, observed 2026-08-11T05:41:06.361394Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T05:41:06.302697Z digest=sha256:23dcd1f3af509188dff7376d1594df8127232c6a2e21bb8d08347b4e7d6641d4

Observation a1cf4fda-1de8-48b1-a3a3-781014cd61b2 · outbound

This paper cites Detecting code comment inconsistencies using llm and program analysis,.

Prompting in the Wild: An Empirical Study of Prompt Evolution in Software Repositories Detecting code comment inconsistencies using llm and program analysis,

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-11T05:41:06.307482Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T05:41:06.307482Z digest=sha256:6635d9e112ed8f6497ada168261a5f385881feab2eca5bb26245aabf0782b60e

Observation 219644f0-9d3d-49ac-a3d9-2a0c8c23efe2 · outbound

This paper cites Available: https://api.semanticscholar.org/CorpusID: 257079092.

Prompting in the Wild: An Empirical Study of Prompt Evolution in Software Repositories Available: https://api.semanticscholar.org/CorpusID: 257079092

Reference 2023

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T05:41:06.940331Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T05:41:06.293742Z digest=sha256:5e32bb3517134e03dcfdf15684f2493a75a42c18e4bc50a6ce4ead6d9c7d61a3

Observation 944a0a02-01fb-4252-9668-3467def95fc2 · outbound

This paper cites Available: https://api.semanticscholar.org/CorpusID: 270559976.

Prompting in the Wild: An Empirical Study of Prompt Evolution in Software Repositories Available: https://api.semanticscholar.org/CorpusID: 270559976

Reference 2024

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T05:41:06.959351Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T05:41:06.279638Z digest=sha256:30288657735bc24d270997b79a62ddb9f1670c955d1a849060cbf36134cbde3a

Pith citing papers

Observation f37bb2d3-07be-41c6-94a6-b6b95002673e · inbound

What Prompts Don't Say: Understanding and Managing Underspecification in LLM Prompts cites this paper.

What Prompts Don't Say: Understanding and Managing Underspecification in LLM Prompts Prompting in the Wild: An Empirical Study of Prompt Evolution in Software Repositories

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-05-22T14:04:53.199874Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-22T14:02:23.311597Z digest=sha256:0c41d47db70a1aaa3f55dabbde6612c65b03794ffa382f7cf677a70880e89462

Observation c4b02be5-ae87-415b-9144-bf7ea667891a · inbound

Secure Code Generation at Scale with Reflexion cites this paper.

Secure Code Generation at Scale with Reflexion Prompting in the Wild: An Empirical Study of Prompt Evolution in Software Repositories

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-03T23:50:49.737612Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T23:50:49.737612Z digest=sha256:db7e368e1a26620425fade65a948fc7502c0ab6d93acf1e0fe9343c009a3a0ce