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Paper Citation Record · LEDGER

The CRAFT principles for the responsible use of large language models in policymaking

As of 17 August 2026, this Paper Citation Record lists 28 of 28 outbound references and 0 inbound Pith citation observations for arXiv:2607.15704.

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

pith.paper-citation-record.v1
2607.15704 v1

Coverage vector

measured 28 of 28 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T22:34:45.392091Z

measured 28 of 28 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+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

28 of 28 outbound references displayed

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  • verified fuzzy0
  • unresolved25
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ee0ce7f3-7c67-4b75-b8e1-f1f4b686deda · outbound

This paper cites Neural net language models.Scholarpedia, 3(1):3881, 2008.

The CRAFT principles for the responsible use of large language models in policymaking Neural net language models.Scholarpedia, 3(1):3881, 2008

Reference 1

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source=pdf_text observed=2026-08-01T22:34:42.893029Z digest=sha256:7be729fbc8c3c611b7e181680e85aff48cb7b705fc5986aa7c470aa8c7e4182e

Observation 31af727d-f822-43b2-8c55-359641f84dc3 · outbound

This paper cites Can’t work without it: the quiet addiction to AI at work.Strategic HR Review, 24(6):227–232, 2025.

The CRAFT principles for the responsible use of large language models in policymaking Can’t work without it: the quiet addiction to AI at work.Strategic HR Review, 24(6):227–232, 2025

Reference 2

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source=pdf_text observed=2026-08-01T22:34:42.973835Z digest=sha256:fa336dbeaa0cc6265859757c3a02a42e08bd53ca94f052947e23e3aed8a7402e

Observation fa9c7b40-890f-4523-b30a-56ba266de45c · outbound

This paper cites On the Opportunities and Risks of Foundation Models.

The CRAFT principles for the responsible use of large language models in policymaking On the Opportunities and Risks of Foundation Models

Reference 3

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source=pdf_text observed=2026-08-01T22:34:43.066774Z digest=sha256:67ab4a72848e660dc73d6e93b516d94f291116fa14d751a5b67ba5a740f791af

Observation 342e54b1-d3d8-47a1-bf91-c677f2da36f9 · outbound

This paper cites Human resource management in the age of generative artificial intel- ligence: perspectives and research directions on ChatGPT.Human Resource Management Journal, 33(3):606–659, 2023.

The CRAFT principles for the responsible use of large language models in policymaking Human resource management in the age of generative artificial intel- ligence: perspectives and research directions on ChatGPT.Human Resource Management Journal, 33(3):606–659, 2023

Reference 4

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source=pdf_text observed=2026-08-01T22:34:43.151922Z digest=sha256:01b6634d5ee265e6445161d798f61e545ed895c7f34f8a05d86725122ca92112

Observation 19b27487-0dc5-4cc5-9056-68e9cf51fca1 · outbound

This paper cites Hadi Amini, and Yanzhao Wu.

The CRAFT principles for the responsible use of large language models in policymaking Hadi Amini, and Yanzhao Wu

Reference 5

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source=pdf_text observed=2026-08-01T22:34:43.240134Z digest=sha256:0cf8f232b079336f2b3d12fa91a5718fad5484c8b9b0db429b2624e1d40906ea

Observation 9dca5d2e-8a66-4bb0-bc6e-0b7b238a1cf2 · outbound

This paper cites AI deskilling is a structural problem.AI & Society, 41:3001–3013, 2026.

The CRAFT principles for the responsible use of large language models in policymaking AI deskilling is a structural problem.AI & Society, 41:3001–3013, 2026

Reference 6

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doi, observed 2026-08-01T22:38:23.292675Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-01T22:34:43.373336Z digest=sha256:84badce099e73db9bca0aa259306aea835563780ed56a7c323d6343a498602cd

Observation d8b6ed32-fdd2-425a-904a-afaf9bb5cb8e · outbound

This paper cites Understanding Bias in Machine Learning.

The CRAFT principles for the responsible use of large language models in policymaking Understanding Bias in Machine Learning

Reference 7

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source=pdf_text observed=2026-08-01T22:34:43.484713Z digest=sha256:f2f4204654b739b859aefe928b3fb3092ea8b8378ec46a3b1ea4be2b32b53044

Observation 6628aa32-a7c4-4fc5-ab59-91c61ea68b90 · outbound

This paper cites Bias Runs Deep: Implicit Reasoning Biases in Persona-Assigned LLMs.

The CRAFT principles for the responsible use of large language models in policymaking Bias Runs Deep: Implicit Reasoning Biases in Persona-Assigned LLMs

Reference 8

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source=pdf_text observed=2026-08-01T22:34:43.566333Z digest=sha256:15e0274eb520a4f32138590f1f1391995a07db82542ae5e2a37f8a6ec0b05d66

Observation b72c9b14-2688-4565-b53e-d9c6e1c2bce1 · outbound

This paper cites Ramesh, and Anthony Perl.Studying Public Policy: Policy Cycles and Policy Subsystems.

The CRAFT principles for the responsible use of large language models in policymaking Ramesh, and Anthony Perl.Studying Public Policy: Policy Cycles and Policy Subsystems

Reference 9

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source=pdf_text observed=2026-08-01T22:34:43.636221Z digest=sha256:1415180808e26844522ea20424e61093f971f62961d37003920796dbec6d9947

Observation ab348028-303f-421b-8a50-afe789e81c09 · outbound

This paper cites A survey on hallucination in large language models: principles, taxonomy, challenges, and open questions.

The CRAFT principles for the responsible use of large language models in policymaking A survey on hallucination in large language models: principles, taxonomy, challenges, and open questions

Reference 10

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source=pdf_text observed=2026-08-01T22:34:43.746444Z digest=sha256:187c89e9bcc252137ffe09ee2cecf0ba8157c98017e408b61f77aab6225d8ea4

Observation c0bb7a53-2153-49d4-aee3-f83e2a9cf03f · outbound

This paper cites Jones and Frank R.

The CRAFT principles for the responsible use of large language models in policymaking Jones and Frank R

Reference 11

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source=pdf_text observed=2026-08-01T22:34:43.834199Z digest=sha256:39a7e7f4ec0304fd05f414da6a24bde038cb3beff3fa05d85dd67aff4c67e63b

Observation 40ae9a55-40ec-4c8a-91e4-2913e74a91c1 · outbound

This paper cites Why Language Models Hallucinate.

The CRAFT principles for the responsible use of large language models in policymaking Why Language Models Hallucinate

Reference 12

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source=pdf_text observed=2026-08-01T22:34:43.902878Z digest=sha256:10e6db57b4f3b61edf5c8c89a379313539423a95c56b7a7502f53a6aa774d5ff

Observation 89111aec-d028-49a4-b2f5-d08f673047c3 · outbound

This paper cites Lasswell.The Decision Process: Seven Categories of Functional Analysis.

The CRAFT principles for the responsible use of large language models in policymaking Lasswell.The Decision Process: Seven Categories of Functional Analysis

Reference 13

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source=pdf_text observed=2026-08-01T22:34:43.990857Z digest=sha256:85dfbab9ae6c9b7b0a6a6674c116d4f6a51ec3edcbf0b7623e24d638f265249b

Observation 3471bcce-76d7-4e7b-90c3-d12543d73a6d · outbound

This paper cites muddling through.

The CRAFT principles for the responsible use of large language models in policymaking muddling through

Reference 14

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source=pdf_text observed=2026-08-01T22:34:44.088691Z digest=sha256:1d61e18e68df52adb0f27fcc5b9568beaa79316b0b8391070dbcaafe22cfc607

Observation 08cb32b1-4aaa-4780-bced-e2f892578fa9 · outbound

This paper cites Macnamara, Ibrahim Berber, M.

The CRAFT principles for the responsible use of large language models in policymaking Macnamara, Ibrahim Berber, M

Reference 15

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source=pdf_text observed=2026-08-01T22:34:44.190732Z digest=sha256:7e457cb4c47b90a290623968b9dff88d98168795f3345653afd2662364a86142

Observation 189390e4-0efa-4a78-950a-556260d686b8 · outbound

This paper cites A survey on bias and fairness in machine learning.ACM Computing Surveys, 54(6):1–35,.

The CRAFT principles for the responsible use of large language models in policymaking A survey on bias and fairness in machine learning.ACM Computing Surveys, 54(6):1–35,

Reference 16

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source=pdf_text observed=2026-08-01T22:34:44.257637Z digest=sha256:1c13295dc6e49a15da8078ea47722d96570191951059deb6346a74233d514b26

Observation f2f4f1f0-5225-4611-9984-9287327ca809 · outbound

This paper cites Efficient Estimation of Word Representations in Vector Space.

The CRAFT principles for the responsible use of large language models in policymaking Efficient Estimation of Word Representations in Vector Space

Reference 17

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source=pdf_text observed=2026-08-01T22:34:44.431806Z digest=sha256:da52a2ea9f6128ae13622cd2dadf16ea8a40bec2f5f8068ae7d3e61b59bfd971

Observation f6669c3c-7948-4c61-8a91-bd4510c78aa8 · outbound

This paper cites Large language models.

The CRAFT principles for the responsible use of large language models in policymaking Large language models

Reference 18

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source=pdf_text observed=2026-08-01T22:34:44.517547Z digest=sha256:bed225fa8caf66889bc6739ef88d489c2047dafb0fcbd45864375c5cc54ce0a0

Observation 3e90284f-7f0c-4bae-ad15-5eb7648c60c0 · outbound

This paper cites Jagged intelligence: the dangerous unknowns at the heart of LLMs.The Yale Review, 2026.

The CRAFT principles for the responsible use of large language models in policymaking Jagged intelligence: the dangerous unknowns at the heart of LLMs.The Yale Review, 2026

Reference 19

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Observation d069d120-2473-416c-8c6a-a2cca6ea1426 · outbound

This paper cites What is Left for Us? Second Scholarship Against the Degradation of Research by AI.

The CRAFT principles for the responsible use of large language models in policymaking What is Left for Us? Second Scholarship Against the Degradation of Research by AI

Reference 20

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Observation 4abeb140-57ab-46da-a546-c9cb4a3d80ca · outbound

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

The CRAFT principles for the responsible use of large language models in policymaking Training language models to follow instructions with human feedback

Reference 21

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Observation 1448ee84-3763-405f-a48e-bea2763cfe7d · outbound

This paper cites Sabatier and Hank C.

The CRAFT principles for the responsible use of large language models in policymaking Sabatier and Hank C

Reference 22

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Observation 9173f7f6-11c2-47b6-a0fd-a60d81307a2e · outbound

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The CRAFT principles for the responsible use of large language models in policymaking Unresolved cited work

Reference 23

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source=pdf_text observed=2026-08-01T22:34:45.038281Z digest=sha256:0222d9f1097a8a964bd6c63a7e49e5c274de0d950f925e5261a658f42654dbaf

Observation 134e2abd-8c95-44ca-a33c-b9f1c81a0433 · outbound

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The CRAFT principles for the responsible use of large language models in policymaking Unresolved cited work

Reference 24

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source=pdf_text observed=2026-08-01T22:34:45.127633Z digest=sha256:a5a5461560f9c7ffb0fc16f11046d3bdb5c09bf5c204fc6aa0f060628e4efef4

Observation a2ff6a55-60e0-4160-87db-14582768fe63 · outbound

This paper cites Gomez, Lukasz Kaiser, and Illia Polosukhin.

The CRAFT principles for the responsible use of large language models in policymaking Gomez, Lukasz Kaiser, and Illia Polosukhin

Reference 25

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Observation 1fc223d5-4508-47cd-8ea5-055b848b469e · outbound

This paper cites Jones, and Ashley E.

The CRAFT principles for the responsible use of large language models in policymaking Jones, and Ashley E

Reference 26

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Observation 9dcf3025-42fd-40c0-a6e5-eb3fcc0dc9e8 · outbound

This paper cites On protecting the data privacy of large language models (LLMs): a survey.

The CRAFT principles for the responsible use of large language models in policymaking On protecting the data privacy of large language models (LLMs): a survey

Reference 27

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source=pdf_text observed=2026-08-01T22:34:45.392091Z digest=sha256:56befb942f42c6b25e3988604c2870b0c7d43676e8af0f27ea2ec2322c10b211

Observation e5a38351-a5ff-431b-a0b0-3d9a885fd013 · outbound

This paper cites Article 115.

The CRAFT principles for the responsible use of large language models in policymaking Article 115

Reference 2021

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source=pdf_text observed=2026-08-01T22:34:44.340959Z digest=sha256:b27b8e9693761f01f20de3bba24f7dfc67f277d8f2620de9d77d5fafad27ac1e

Pith citing papers

No inbound Pith citation observations are available.