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Paper Citation Record · LEDGER

An Empirical Categorization of Prompting Techniques for Large Language Models: A Practitioner's Guide

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2402.14837.

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

pith.paper-citation-record.v1
2402.14837 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T18:01:38.718710Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T20:27:22.001422Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 08d04496-01ae-43f4-9c3f-d29bdac3ad34 · inbound

Towards Detecting Prompt Knowledge Gaps for Improved LLM-guided Issue Resolution cites this paper.

Towards Detecting Prompt Knowledge Gaps for Improved LLM-guided Issue Resolution An Empirical Categorization of Prompting Techniques for Large Language Models: A Practitioner's Guide

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-10T18:01:38.718710Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T18:01:38.718710Z digest=sha256:27d73fd7366406599b85cb1575d13cb54c3d50e993eb742f52619e2552547907

Observation 5c2a78b0-2f3f-4815-a158-1e11ebc390e5 · inbound

Leveraging Multimodal LLM for Inspirational User Interface Search cites this paper.

Leveraging Multimodal LLM for Inspirational User Interface Search An Empirical Categorization of Prompting Techniques for Large Language Models: A Practitioner's Guide

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-10T04:35:02.403822Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T04:35:02.403822Z digest=sha256:a64c06c40d38ac42833be2bd9e87829ec2c230b1e7010dc7cf7879467952eefe

Observation 3469156a-f871-42a8-89cf-26d5ce89ba15 · inbound

Thinking beyond the anthropomorphic paradigm benefits LLM research cites this paper.

Thinking beyond the anthropomorphic paradigm benefits LLM research An Empirical Categorization of Prompting Techniques for Large Language Models: A Practitioner's Guide

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-07T22:21:52.527061Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T22:21:52.527061Z digest=sha256:f0c4128afefb1649f3032409d64d3a7315bd1cf5708e4ba872447217780d2b6c

Observation 69924b8a-1561-4777-baa4-5df96fe2e38d · inbound

Prompt Engineering for Requirements Engineering: A Literature Review and Roadmap cites this paper.

Prompt Engineering for Requirements Engineering: A Literature Review and Roadmap An Empirical Categorization of Prompting Techniques for Large Language Models: A Practitioner's Guide

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-06T18:40:02.446477Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:40:02.446477Z digest=sha256:638afec41c367fdb680f60a63645eeb871a23828bab41c5e9e427f9a408fcb90

Observation ef92fb38-1d05-47b3-8b4d-4afed1b45398 · inbound

Red-Teaming Coding Agents from a Tool-Invocation Perspective: An Empirical Security Assessment cites this paper.

Red-Teaming Coding Agents from a Tool-Invocation Perspective: An Empirical Security Assessment An Empirical Categorization of Prompting Techniques for Large Language Models: A Practitioner's Guide

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-05T05:09:39.820844Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T05:09:39.820844Z digest=sha256:8e02819eeb11c89c9d9201b789f036de9607ff116812e0a3142bcf953826105b

Observation 992360ee-f5b1-46cf-bb80-17cdf17129bb · inbound

An Agentic Workflow for Detecting Personally Identifiable Information in Crash Narratives cites this paper.

An Agentic Workflow for Detecting Personally Identifiable Information in Crash Narratives An Empirical Categorization of Prompting Techniques for Large Language Models: A Practitioner's Guide

Reference 3

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T13:45:28.686562Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-10T13:40:33.026198Z digest=sha256:3a5bf2ee23840949599c472b7b2979bc9cbe9b4b7bc30f2a6def31cc391676ec

Observation a0e8b3f9-03da-409d-8e8e-d35089b5728b · inbound

Modularizing Educational LLM-Agency for Fostering Responsible Learning Assistance cites this paper.

Modularizing Educational LLM-Agency for Fostering Responsible Learning Assistance An Empirical Categorization of Prompting Techniques for Large Language Models: A Practitioner's Guide

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-06-29T07:33:14.115042Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-29T07:25:19.265601Z digest=sha256:e013a0837efcd4e10ca5cbd8f4a32629f6e113ccf8826fa569324d9adfc764f2

Observation b7b312f8-248b-4585-8235-a99fd328b814 · inbound

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

A Taxonomy of Single-Turn Textual Prompt Patterns An Empirical Categorization of Prompting Techniques for Large Language Models: A Practitioner's Guide

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-07-02T20:27:22.002755Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-07-02T20:19:40.801292Z digest=sha256:d6a8151b53d6d7ddf0f496b8417852726e5680ddb000783d3a3eab245a37afbb