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Paper Citation Record · LEDGER

Prompt Engineering: How Prompt Vocabulary affects Domain Knowledge

As of 21 August 2026, this Paper Citation Record lists 10 of 10 outbound references and 0 inbound Pith citation observations for arXiv:2505.17037.

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

pith.paper-citation-record.v1
2505.17037 v1

Coverage vector

measured 10 of 10 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T22:44:09.814119Z

measured 10 of 10 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

10 of 10 outbound references displayed

  • verified exact0
  • verified fuzzy1
  • unresolved6
  • parse uncertain0
  • malformed identifier3
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d206144f-9587-49f1-8776-ab207a773b56 · outbound

This paper cites PromptSource: An Integrated Development Environment and Repository for Natural Language Prompts.

Prompt Engineering: How Prompt Vocabulary affects Domain Knowledge PromptSource: An Integrated Development Environment and Repository for Natural Language Prompts

Reference 1

Resolution
malformed identifier
no resolver link, observed 2026-08-15T22:44:09.776779Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:44:09.776779Z digest=sha256:88014dbe771ec09b5dad3d0a15081a385d54abe38f9b4685d46fb0987ddd9146

Observation 6d4f65a8-d89f-43ea-b42a-e7d465834ce5 · outbound

This paper cites Scaling Laws for Neural Language Models.

Prompt Engineering: How Prompt Vocabulary affects Domain Knowledge Scaling Laws for Neural Language Models

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-15T22:44:09.793745Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:44:09.793745Z digest=sha256:b91be74879a4faa8e83148ace76a451069403d1b7bf2d119ea7b269010e1764f

Observation 7d584076-00de-4089-a497-41d4b529e87f · outbound

This paper cites Training language models to follow instructions with human feedback.

Prompt Engineering: How Prompt Vocabulary affects Domain Knowledge Training language models to follow instructions with human feedback

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-15T22:44:09.802661Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:44:09.802661Z digest=sha256:85e06b5b72a9a0a0b971cf91406c5c71cc28536e5a4f60225f6bd1a61c549693

Observation 32c0d388-045f-4810-95d8-d03290554d44 · outbound

This paper cites Exploring the Relationship between LLM Hallucinations and Prompt Linguistic Nuances: Readability, Formality, and Concreteness.

Prompt Engineering: How Prompt Vocabulary affects Domain Knowledge Exploring the Relationship between LLM Hallucinations and Prompt Linguistic Nuances: Readability, Formality, and Concreteness

Reference 36

Resolution
malformed identifier
no resolver link, observed 2026-08-15T22:44:09.806638Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:44:09.806638Z digest=sha256:1fe3c5d3252147819512a78b206b0a36a421305d96b59ee37f7560a884354b0a

Observation b397d09c-7e98-4b2c-a52b-45cfc6cc07ad · outbound

This paper cites Super-NaturalInstructions: Generalization via Declarative Instructions on 1600+ NLP Tasks.

Prompt Engineering: How Prompt Vocabulary affects Domain Knowledge Super-NaturalInstructions: Generalization via Declarative Instructions on 1600+ NLP Tasks

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-15T22:44:09.810650Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:44:09.810650Z digest=sha256:6bba58020470d00ec22284a8ddff15da50bc8c8ed19ac46e0d10c7c3163c0a50

Observation 3472f322-883e-43bf-833d-84355bab43cb · outbound

This paper cites org / 2023.

Prompt Engineering: How Prompt Vocabulary affects Domain Knowledge org / 2023

Reference 494

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:44:09.944437Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T22:44:09.789961Z digest=sha256:3a80dd31562bddd3bffbbfbdf9826311382c2473be2fb46df6bde8ff7c0418e5

Observation 53bc41d5-1982-40a6-a306-90b6842b9bd1 · outbound

This paper cites The Llama 3 Herd of Models.

Prompt Engineering: How Prompt Vocabulary affects Domain Knowledge The Llama 3 Herd of Models

Reference 1128

Resolution
malformed identifier
no resolver link, observed 2026-08-15T22:44:09.786227Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:44:09.786227Z digest=sha256:1ce20e00a000061597103834eeff8eb2a2c93272b9ab1afdf0b478bf0e35e836

Observation 521c8ab9-9271-41eb-a695-56b881badfd6 · outbound

This paper cites Unleashing the potential of prompt engineering for large language models.

Prompt Engineering: How Prompt Vocabulary affects Domain Knowledge Unleashing the potential of prompt engineering for large language models

Reference 2005

Resolution
unresolved
no resolver link, observed 2026-08-15T22:44:09.782119Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:44:09.782119Z digest=sha256:01bd84cf4eb3ead8f1ec0076f9d2fce04a7d62a64e547bba687ba4c6d8c44f2c

Observation f48a5ec3-7ec3-4a16-b17c-2d560c7c0f71 · outbound

This paper cites Understanding LLMs: A Comprehensive Overview from Training to Inference.

Prompt Engineering: How Prompt Vocabulary affects Domain Knowledge Understanding LLMs: A Comprehensive Overview from Training to Inference

Reference 2205

Resolution
unresolved
no resolver link, observed 2026-08-15T22:44:09.798238Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:44:09.798238Z digest=sha256:7708e9f58ad8558019614691664baea82b3efd00475320d26d8fa728ec44e192

Observation c04edd6e-698c-4ecf-81ec-c663594029ba · outbound

This paper cites an unresolved cited work.

Prompt Engineering: How Prompt Vocabulary affects Domain Knowledge Unresolved cited work

Reference 3281

Resolution
unresolved
raw_fallback, observed 2026-08-15T22:44:09.933379Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T22:44:09.814119Z digest=sha256:536c7f0e808055f34021937a20a1792e5cdaab3ffac57c08221ad011eefe9e73

Pith citing papers

No inbound Pith citation observations are available.