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Paper Citation Record · LEDGER

What Makes a Good Natural Language Prompt?

As of 8 August 2026, this Paper Citation Record lists 16 of 16 outbound references and 0 inbound Pith citation observations for arXiv:2506.06950.

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

pith.paper-citation-record.v1
2506.06950 v1

Coverage vector

measured 16 of 16 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:50:36.463441Z

measured 16 of 16 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+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

16 of 16 outbound references displayed

  • verified exact0
  • verified fuzzy3
  • unresolved12
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 9749d4c2-9e02-47cf-9e64-cdacb9b13ab1 · outbound

This paper cites Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge.

What Makes a Good Natural Language Prompt? Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-07T05:50:35.532272Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:50:35.532272Z digest=sha256:cdbc63e4f0b277712670af494c9acdb282a29c2027fa039c6b6faf115bb0d7ff

Observation b25fef37-0ea4-480e-a041-c652832bf0ae · outbound

This paper cites The Llama 3 Herd of Models.

What Makes a Good Natural Language Prompt? The Llama 3 Herd of Models

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-07T05:50:35.623839Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:50:35.623839Z digest=sha256:b82ae91f388d3da84e3e6b0b7134afbe0928fe299de252ce6ff9fdb1663cae77

Observation 5e8d2fb0-dbc7-4dcd-b5d6-b9c180d33a74 · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

What Makes a Good Natural Language Prompt? DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-07T05:50:35.778551Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:50:35.778551Z digest=sha256:0d6dadb32defdb2ec79e25c73989b0dd81bdd80601cc08d4f63b717d0f28b842

Observation 09adc4f4-cc32-45d1-8adf-b26931e3b25b · outbound

This paper cites Mistral 7B.

What Makes a Good Natural Language Prompt? Mistral 7B

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-07T05:50:35.827386Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:50:35.827386Z digest=sha256:ba2a7690558799fd97990ee330ba47aad3a2e1d03c2c7642567f6d3f23c3b26b

Observation b6cd725d-dfc7-40bd-9882-6502403b4226 · outbound

This paper cites Protecting User Privacy in Remote Conversational Systems: A Privacy-Preserving framework based on text sanitization.

What Makes a Good Natural Language Prompt? Protecting User Privacy in Remote Conversational Systems: A Privacy-Preserving framework based on text sanitization

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-07T05:50:35.882497Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:50:35.882497Z digest=sha256:fbfd37099423e4d009def425899768af13f5845e2073e3a9cf04da63568cc42c

Observation 933a7545-0bd7-45ad-bc88-76eac07d57d1 · outbound

This paper cites Association for Computational Linguistics.

What Makes a Good Natural Language Prompt? Association for Computational Linguistics

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:50:37.037341Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T05:50:35.944617Z digest=sha256:c240ce648ff96e6459af1cedcfb11fd7627d33bdf86a3231c5e381255efe3aad

Observation 1f2523e5-b0c7-482f-be3f-e2df02711a28 · outbound

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

What Makes a Good Natural Language Prompt? A Systematic Survey of Prompt Engineering in Large Language Models: Techniques and Applications

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-07T05:50:36.085440Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:50:36.085440Z digest=sha256:79fdc3496d6491ebdaacef6303dbefb106b46d326e918368ff441ad1597ac67e

Observation 1a9bf078-e1f9-488a-8e73-b9a6f0b24486 · outbound

This paper cites A Mathematical Abstraction for Balancing the Trade-off Between Creativity and Reality in Large Language Models.

What Makes a Good Natural Language Prompt? A Mathematical Abstraction for Balancing the Trade-off Between Creativity and Reality in Large Language Models

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-07T05:50:36.171268Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:50:36.171268Z digest=sha256:cd1d052c7f347c38e97e115da23886e18444f08dbc7ed4facf909c4af9af933f

Observation 221dec3e-a12b-457f-8899-3b4f283dcc8e · outbound

This paper cites Stanford In- stitute for Human-Centered Artificial Intelligence (HAI).

What Makes a Good Natural Language Prompt? Stanford In- stitute for Human-Centered Artificial Intelligence (HAI)

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:50:36.785614Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T05:50:36.226687Z digest=sha256:6745158abc7ce15e4f5a7455d30204777b5e74308c10333b5c9d3b1f103bca72

Observation e28e75a6-a3d5-47fe-953d-e83295867eb7 · outbound

This paper cites On Transferability of Prompt Tuning for Natural Language Processing.

What Makes a Good Natural Language Prompt? On Transferability of Prompt Tuning for Natural Language Processing

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-07T05:50:36.272576Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:50:36.272576Z digest=sha256:54289ed5b474bbc08e0bfd8cdb7feae4bc62a2dd299e862c6e982456d73d72a6

Observation 2b7f2d1a-e6e8-4733-a2a1-46ccd992e021 · outbound

This paper cites Meta-Prompting: Enhancing Language Models with Task-Agnostic Scaffolding.

What Makes a Good Natural Language Prompt? Meta-Prompting: Enhancing Language Models with Task-Agnostic Scaffolding

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-07T05:50:36.330950Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:50:36.330950Z digest=sha256:bd97b80df257981b89206ec1f847f6226a8f89f598948e3b24da7916bec18057

Observation 8fcbe4ab-8fe5-4c65-a200-f9203f53d4fd · outbound

This paper cites Auto-ICL: In-Context Learning without Human Supervision.

What Makes a Good Natural Language Prompt? Auto-ICL: In-Context Learning without Human Supervision

Reference 15

Resolution
metadata mismatch
local_arxiv, observed 2026-08-07T05:50:36.603773Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T05:50:36.394927Z digest=sha256:2e6f7a963e9849f9ff7b16ee43fec4d476f17b766481806fcc4382bb453463e5

Observation ec06957e-b7b6-4424-aea2-94849a3c83d8 · outbound

This paper cites AdaComp: Extractive Context Compression with Adaptive Predictor for Retrieval-Augmented Large Language Models.

What Makes a Good Natural Language Prompt? AdaComp: Extractive Context Compression with Adaptive Predictor for Retrieval-Augmented Large Language Models

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-07T05:50:36.463441Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:50:36.463441Z digest=sha256:749d4ebf59c4de4a024f8f8b0be6f09adb3f9def368050a5e9637e72e9cb09ba

Observation bb20fe43-e86b-4475-8774-ed30d4172858 · outbound

This paper cites gradient descent.

What Makes a Good Natural Language Prompt? gradient descent

Reference 2022

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:50:36.908009Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T05:50:36.009400Z digest=sha256:dca3a076a61a69ba28d9b435eb20387cc1eb03791e66ef5465d6df83b577a27e

Observation 9efb56f5-e8f1-45c5-97d6-ca274dcba0c6 · outbound

This paper cites Privacy Preserving Prompt Engineering: A Survey.

What Makes a Good Natural Language Prompt? Privacy Preserving Prompt Engineering: A Survey

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-07T05:50:35.713726Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:50:35.713726Z digest=sha256:2e0ae4b3cc8b38056aff419b30742bdb03fd7a90c287249c9e50b07507510a82

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

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

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:dbd89fc8c89d0ba219b3643d2c2892a8af6a15238bd0363f1936385c767eb589

Pith citing papers

No inbound Pith citation observations are available.