pith. sign in
Pith Number

pith:HVIJJEPK

pith:2023:HVIJJEPK5CPRZ3KZ6OJGCOJFES
not attested not anchored not stored refs resolved

A Prompt Pattern Catalog to Enhance Prompt Engineering with ChatGPT

Ashraf Elnashar, Carlos Olea, Douglas C. Schmidt, Henry Gilbert, Jesse Spencer-Smith, Jules White, Michael Sandborn, Quchen Fu, Sam Hays

A catalog of prompt patterns provides reusable solutions to common problems in LLM conversations.

arxiv:2302.11382 v1 · 2023-02-21 · cs.SE · cs.AI

Add to your LaTeX paper
\usepackage{pith}
\pithnumber{HVIJJEPK5CPRZ3KZ6OJGCOJFES}

Prints a linked badge after your title and injects PDF metadata. Compiles on arXiv. Learn more · Embed verified badge

Record completeness

1 Bitcoin timestamp
2 Internet Archive
3 Author claim open · sign in to claim
4 Citations open
5 Replications open
Portable graph bundle live · download bundle · merged state
The bundle contains the canonical record plus signed events. A mirror can host it anywhere and recompute the same current state with the deterministic merge algorithm.

Claims

C1strongest claim

This paper provides a catalog of patterns that have been applied successfully to improve the outputs of LLM conversations.

C2weakest assumption

The patterns described are generalizable and can be adapted to different domains and LLMs beyond the specific examples provided in the paper.

C3one line summary

The authors present a catalog of prompt patterns that provide reusable solutions to common problems in generating and interacting with outputs from LLMs.

References

38 extracted · 38 resolved · 6 Pith anchors

[1] On the Opportunities and Risks of Foundation Models 2021 · arXiv:2108.07258
[2] A Multitask, Multilingual, Multimodal Evaluation of ChatGPT on Reasoning, Hallucination, and Interactivity 2023 · arXiv:2302.04023
[3] How well does chatgpt do when taking the med ical licensing exams? 2022
[4] Architecting the future of software engi neering, 2022
[5] Github copilot · your ai pair programmer

Formal links

2 machine-checked theorem links

Cited by

38 papers in Pith

Receipt and verification
First computed 2026-05-17T23:38:53.174528Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

3d509491eae89f1ced59f39261392524b99f21da954bea20909d5497a56a0a66

Aliases

arxiv: 2302.11382 · arxiv_version: 2302.11382v1 · doi: 10.48550/arxiv.2302.11382 · pith_short_12: HVIJJEPK5CPR · pith_short_16: HVIJJEPK5CPRZ3KZ · pith_short_8: HVIJJEPK
Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/HVIJJEPK5CPRZ3KZ6OJGCOJFES \
  | jq -c '.canonical_record' \
  | python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: 3d509491eae89f1ced59f39261392524b99f21da954bea20909d5497a56a0a66
Canonical record JSON
{
  "metadata": {
    "abstract_canon_sha256": "0bab6574f91d4872e4416cba8bef95b65278b4b9517ecbc312269aa752763dac",
    "cross_cats_sorted": [
      "cs.AI"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.SE",
    "submitted_at": "2023-02-21T12:42:44Z",
    "title_canon_sha256": "b44d01d7659f193801c93a5aa46218863a5e304ef4147afd8ed96ebcb97bb77f"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2302.11382",
    "kind": "arxiv",
    "version": 1
  }
}