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Paper Citation Record · LEDGER

Principled Instructions Are All You Need for Questioning LLaMA-1/2, GPT-3.5/4

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2312.16171.

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

pith.paper-citation-record.v1
2312.16171 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 10 of 10 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 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T12:05:57.418938Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T20:27:22.006658Z

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 069682b3-c5c5-4054-9177-39a886240e47 · inbound

Understanding and Supporting Formal Email Exchange by Answering AI-Generated Questions cites this paper.

Understanding and Supporting Formal Email Exchange by Answering AI-Generated Questions Principled Instructions Are All You Need for Questioning LLaMA-1/2, GPT-3.5/4

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-09T00:44:51.875567Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T00:44:51.875567Z digest=sha256:da7f82639ae41ae07ec1cac6b781792fac4b2c5c3f3aa4993b823b41e71df3a0

Observation 97c57299-a14c-4476-a11c-5bcce8a0331f · inbound

NER4all or Context is All You Need: Using LLMs for low-effort, high-performance NER on historical texts. A humanities informed approach cites this paper.

NER4all or Context is All You Need: Using LLMs for low-effort, high-performance NER on historical texts. A humanities informed approach Principled Instructions Are All You Need for Questioning LLaMA-1/2, GPT-3.5/4

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-09T12:05:57.418938Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T12:05:57.418938Z digest=sha256:f5c5d3e1641ec7140feb2bb4100a132ddabd8a1044a780c4fe3098755cc0a057

Observation eb913f68-0499-4283-84e1-42c43bdd6537 · inbound

What Makes a Good Natural Language Prompt? cites this paper.

What Makes a Good Natural Language Prompt? Principled Instructions Are All You Need for Questioning LLaMA-1/2, GPT-3.5/4

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-07T05:50:35.457138Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:50:35.457138Z digest=sha256:2429684440b452e59bf807082f112173136e41dee5cfd9eb97578cd65ad944a9

Observation b18917b7-1669-4aca-ad19-41cc1431dbde · inbound

Identifying Helpful Context for LLM-based Vulnerability Repair: A Preliminary Study cites this paper.

Identifying Helpful Context for LLM-based Vulnerability Repair: A Preliminary Study Principled Instructions Are All You Need for Questioning LLaMA-1/2, GPT-3.5/4

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-07T04:07:55.184845Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:07:55.184845Z digest=sha256:db4c6daaffb023ff8912dd900dda97d3a7c7f72049d3ea84b6b2df08b888e52e

Observation 06ab692b-3399-4020-a5a0-c0ed5e735a2d · inbound

A Hybrid Multi-Agent Prompting Approach for Simplifying Complex Sentences cites this paper.

A Hybrid Multi-Agent Prompting Approach for Simplifying Complex Sentences Principled Instructions Are All You Need for Questioning LLaMA-1/2, GPT-3.5/4

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-07T04:07:20.715124Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:07:20.715124Z digest=sha256:7325fd864df29c0d91f3a0cf84dccc850e74dadeadcbe15ba266157b458534ab

Observation d7fe9970-0e6f-4332-9f8c-df808cbe5917 · inbound

RELRaE: LLM-Based Relationship Extraction, Labelling, Refinement, and Evaluation cites this paper.

RELRaE: LLM-Based Relationship Extraction, Labelling, Refinement, and Evaluation Principled Instructions Are All You Need for Questioning LLaMA-1/2, GPT-3.5/4

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-06T20:05:20.671242Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:05:20.671242Z digest=sha256:f29ca21b3824f53e69f2348694c424b897bceed4c83a8701fe145139f8897de8

Observation d8ec79ae-1801-4c8d-8a97-260416c084ee · inbound

SecureSpeech: Prompt-based Speaker and Content Protection cites this paper.

SecureSpeech: Prompt-based Speaker and Content Protection Principled Instructions Are All You Need for Questioning LLaMA-1/2, GPT-3.5/4

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-06T18:36:07.397785Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:36:07.397785Z digest=sha256:65acd0c44081c5ac7a7e051cae49208a80cf0bf27b1b2b9a281284e6d5bf901b

Observation ba71368f-9bba-4631-8f3f-62e84b380e68 · inbound

Synthetic Reflections on Resource Extraction cites this paper.

Synthetic Reflections on Resource Extraction Principled Instructions Are All You Need for Questioning LLaMA-1/2, GPT-3.5/4

Reference 6

Resolution
verified exact
arxiv_id, observed 2026-05-16T03:57:15.875904Z

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=2026-05-16T03:54:55.533944Z digest=sha256:9aee2fe7c33e57662cd24f44786067645bfe608bfed97501280752db44c9c5f7

Observation 75781b82-eeb0-4da3-94eb-37c876f1f0f6 · inbound

PEEM: Prompt Engineering Evaluation Metrics for Interpretable Joint Evaluation of Prompts and Responses cites this paper.

PEEM: Prompt Engineering Evaluation Metrics for Interpretable Joint Evaluation of Prompts and Responses Principled Instructions Are All You Need for Questioning LLaMA-1/2, GPT-3.5/4

Reference 20

Resolution
verified exact
arxiv_id, observed 2026-05-15T14:00:03.065056Z

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=2026-05-15T13:57:41.428695Z digest=sha256:91613a32b085b8b0442f6ff0dde5f0c2336653a7104606f9f4f884938f76ca95

Observation bf855bc4-a3a4-4a63-8036-6d79d6fa8413 · inbound

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

A Taxonomy of Single-Turn Textual Prompt Patterns Principled Instructions Are All You Need for Questioning LLaMA-1/2, GPT-3.5/4

Reference 18

Resolution
verified exact
arxiv_id, observed 2026-07-02T20:27:22.008299Z

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=sha256:3f199fe34cb21961786500ef39a022ddaed47cac83db42ada3685128c842071b