Paper Citation Record · LEDGER

Is It Time To Treat Prompts As Code? A Multi-Use Case Study For Prompt Optimization Using DSPy

As of 7 August 2026, this Paper Citation Record lists 22 of 22 outbound references and 1 inbound Pith citation observation for arXiv:2507.03620.

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

pith.paper-citation-record.v1
2507.03620 v1

Coverage vector

measured 22 of 22 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T20:09:18.850828Z

measured 23 of 23 standing notices

One-hop event checks from named stored sources.

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

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-13T20:12:12.283350Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-13T20:13:13.135815Z

Reference resolution

22 of 22 outbound references displayed

verified exact2
verified fuzzy4
unresolved15
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 025d5d91-34da-4fd9-83ac-4de89d3e6453 · outbound

This paper cites Patterns 6, 101260 (2025).

Is It Time To Treat Prompts As Code? A Multi-Use Case Study For Prompt Optimization Using DSPy Patterns 6, 101260 (2025)

Reference 1

Resolution: metadata mismatch; raw_fallback, observed 2026-08-06T20:09:19.665029Z

Source-reported events for the cited work

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

Observation 8dd58951-b9f7-466f-a687-1140f6b7c0ef · outbound

This paper cites Weights & Biases Blog (2025-02-12).

Is It Time To Treat Prompts As Code? A Multi-Use Case Study For Prompt Optimization Using DSPy Weights & Biases Blog (2025-02-12)

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:09:20.247090Z

Source-reported events for the cited work

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

Observation ce73c044-1664-4028-ab1c-a38b782638e1 · outbound

This paper cites Building Guardrails for Large Language Models.

Is It Time To Treat Prompts As Code? A Multi-Use Case Study For Prompt Optimization Using DSPy Building Guardrails for Large Language Models

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-06T20:09:17.288317Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 51e87782-acab-467e-814b-7929e92f013e · outbound

This paper cites A Survey on LLM-as-a-Judge.

Is It Time To Treat Prompts As Code? A Multi-Use Case Study For Prompt Optimization Using DSPy A Survey on LLM-as-a-Judge

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-06T20:09:17.371936Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7add55fe-7cf0-4cc8-9027-ab171bf8f1a6 · outbound

This paper cites EvoPrompt: Connecting LLMs with Evolutionary Algorithms Yields Powerful Prompt Optimizers.

Is It Time To Treat Prompts As Code? A Multi-Use Case Study For Prompt Optimization Using DSPy EvoPrompt: Connecting LLMs with Evolutionary Algorithms Yields Powerful Prompt Optimizers

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-06T20:09:17.480213Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 91d7bca0-ef4f-4814-bdcf-d8ab70425e6c · outbound

This paper cites Automatic Engineering of Long Prompts.

Is It Time To Treat Prompts As Code? A Multi-Use Case Study For Prompt Optimization Using DSPy Automatic Engineering of Long Prompts

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-06T20:09:17.556647Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8ef395f0-49f1-499f-ad42-4ec94f2a89cd · outbound

This paper cites Challenges and Applications of Large Language Models.

Is It Time To Treat Prompts As Code? A Multi-Use Case Study For Prompt Optimization Using DSPy Challenges and Applications of Large Language Models

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-06T20:09:17.632250Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 791e2078-424f-48fd-b472-18d1055f189d · outbound

This paper cites https://microsoft.github.

Is It Time To Treat Prompts As Code? A Multi-Use Case Study For Prompt Optimization Using DSPy https://microsoft.github

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:09:20.085672Z

Source-reported events for the cited work

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

Observation 6a2ea1ac-18fb-40c8-b2fb-a35a68a7d39f · outbound

This paper cites et al.: From Generation to Judgment: Opportunities and Challenges of LLM-as-a-Judge.

Is It Time To Treat Prompts As Code? A Multi-Use Case Study For Prompt Optimization Using DSPy et al.: From Generation to Judgment: Opportunities and Challenges of LLM-as-a-Judge

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-06T20:09:17.852527Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8a58fb67-00a2-44ba-9864-54d44f5aea36 · outbound

This paper cites LLMs-as-Judges: A Comprehensive Survey on LLM-based Evaluation Methods.

Is It Time To Treat Prompts As Code? A Multi-Use Case Study For Prompt Optimization Using DSPy LLMs-as-Judges: A Comprehensive Survey on LLM-based Evaluation Methods

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-06T20:09:17.937244Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6699e35c-0864-4c78-b9e4-a1c411483820 · outbound

This paper cites Large Language Model Guided Tree-of-Thought.

Is It Time To Treat Prompts As Code? A Multi-Use Case Study For Prompt Optimization Using DSPy Large Language Model Guided Tree-of-Thought

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-06T20:09:18.037146Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f84df100-575e-4aa6-9758-0566ee4df129 · outbound

This paper cites Microsoft Learn (2025-05.28).

Is It Time To Treat Prompts As Code? A Multi-Use Case Study For Prompt Optimization Using DSPy Microsoft Learn (2025-05.28)

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:09:19.928667Z

Source-reported events for the cited work

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

Observation 9671d293-2436-4a9e-a593-f982f9284599 · outbound

This paper cites Optimizing Instructions and Demonstrations for Multi-Stage Language Model Programs.

Is It Time To Treat Prompts As Code? A Multi-Use Case Study For Prompt Optimization Using DSPy Optimizing Instructions and Demonstrations for Multi-Stage Language Model Programs

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-06T20:09:18.293773Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3995addb-faf2-44f0-aea1-35515ac2b365 · outbound

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

Is It Time To Treat Prompts As Code? A Multi-Use Case Study For Prompt Optimization Using DSPy A Systematic Survey of Prompt Engineering in Large Language Models: Techniques and Applications

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-06T20:09:18.349737Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 51720ee9-4391-489d-882d-d5e648ba16dc · outbound

This paper cites In: 2023 10th International Conference 20 F.

Is It Time To Treat Prompts As Code? A Multi-Use Case Study For Prompt Optimization Using DSPy In: 2023 10th International Conference 20 F

Reference 15

Resolution: verified exact; raw_fallback, observed 2026-08-06T20:09:19.512631Z

Source-reported events for the cited work

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

Observation 85642410-3f23-4cb8-a086-b369d6c584e3 · outbound

This paper cites LangProBe: a Language Programs Benchmark.

Is It Time To Treat Prompts As Code? A Multi-Use Case Study For Prompt Optimization Using DSPy LangProBe: a Language Programs Benchmark

Reference 16

Resolution: verified exact; local_arxiv, observed 2026-08-06T20:09:19.098747Z

Source-reported events for the cited work

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

Observation fed43112-a9e6-4931-8014-f3eee076836d · outbound

This paper cites Sourcery.ai Blog (2024- 05-13).

Is It Time To Treat Prompts As Code? A Multi-Use Case Study For Prompt Optimization Using DSPy Sourcery.ai Blog (2024- 05-13)

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:09:19.801221Z

Source-reported events for the cited work

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

Observation 02084f4a-0f73-458f-a9c5-d6565fd1facc · outbound

This paper cites CodeJudge: Evaluating Code Generation with Large Language Models.

Is It Time To Treat Prompts As Code? A Multi-Use Case Study For Prompt Optimization Using DSPy CodeJudge: Evaluating Code Generation with Large Language Models

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-06T20:09:18.412504Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 479b81f9-0ad8-4d6f-b717-d8255b18920c · outbound

This paper cites Large Language Models as Optimizers.

Is It Time To Treat Prompts As Code? A Multi-Use Case Study For Prompt Optimization Using DSPy Large Language Models as Optimizers

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-06T20:09:18.512245Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3ed2e96e-b62f-4d53-b35e-b1f00fa0acdc · outbound

This paper cites Tree of Thoughts: Deliberate Problem Solving with Large Language Models.

Is It Time To Treat Prompts As Code? A Multi-Use Case Study For Prompt Optimization Using DSPy Tree of Thoughts: Deliberate Problem Solving with Large Language Models

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-06T20:09:18.604284Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 71435733-4a8f-4be0-83f6-0ff0052d94c3 · outbound

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

Is It Time To Treat Prompts As Code? A Multi-Use Case Study For Prompt Optimization Using DSPy TextGrad: Automatic "Differentiation" via Text

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-06T20:09:18.732390Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4dfe9f3a-4210-4bd5-a925-95df41537e98 · outbound

This paper cites Large Language Models Are Human-Level Prompt Engineers.

Is It Time To Treat Prompts As Code? A Multi-Use Case Study For Prompt Optimization Using DSPy Large Language Models Are Human-Level Prompt Engineers

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-06T20:09:18.850828Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation c42f5884-14d0-4036-9b63-f37459c3316d · inbound

Evaluating the Environmental Impact of using SLMs and Prompt Engineering for Code Generation cites this paper.

Evaluating the Environmental Impact of using SLMs and Prompt Engineering for Code Generation Is It Time To Treat Prompts As Code? A Multi-Use Case Study For Prompt Optimization Using DSPy

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-05-13T20:13:13.138337Z

Source-reported events for the cited work

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