Paper Citation Record · LEDGER

Advancing Trustworthy AI for Sustainable Development: Recommendations for Standardising AI Incident Reporting

As of 15 August 2026, this Paper Citation Record lists 33 of 33 outbound references and 0 inbound Pith citation observations for arXiv:2501.14778.

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

pith.paper-citation-record.v1
2501.14778 v1

Coverage vector

measured 33 of 33 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T22:41:31.903678Z

measured 33 of 33 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+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

33 of 33 outbound references displayed

verified exact0
verified fuzzy30
unresolved3
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d85c02a6-376b-428e-8fad-54bdcccb15ee · outbound

This paper cites Artificial intelligence and the future of global health.

Advancing Trustworthy AI for Sustainable Development: Recommendations for Standardising AI Incident Reporting Artificial intelligence and the future of global health

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:41:32.389521Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 547ba4fa-8f22-4b55-8a7d-187789b16684 · outbound

This paper cites Artificial Intelligence for Quality Education: Successes and Challenges for AI in Meeting SDG4.

Advancing Trustworthy AI for Sustainable Development: Recommendations for Standardising AI Incident Reporting Artificial Intelligence for Quality Education: Successes and Challenges for AI in Meeting SDG4

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:41:32.376103Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 2f07a683-d506-4d6b-a333-d2de60f92f23 · outbound

This paper cites Artificial intelligence and sustainable development.

Advancing Trustworthy AI for Sustainable Development: Recommendations for Standardising AI Incident Reporting Artificial intelligence and sustainable development

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:41:32.362810Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 0d4e5ae9-6bf1-436d-b5c6-3a6b00e7574f · outbound

This paper cites Deploying artificial intelligence for climate change adaptation.

Advancing Trustworthy AI for Sustainable Development: Recommendations for Standardising AI Incident Reporting Deploying artificial intelligence for climate change adaptation

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:41:32.349646Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation effc0323-7bab-4deb-8d3a-332447ec6500 · outbound

This paper cites The role of artificial intelligence in achieving the Sustainable Development Goals.

Advancing Trustworthy AI for Sustainable Development: Recommendations for Standardising AI Incident Reporting The role of artificial intelligence in achieving the Sustainable Development Goals

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:41:32.335871Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation aa5fce1f-365f-49e6-b44e-aab1c216cecf · outbound

This paper cites Assessing whether artificial intelligence is an enabler or an inhibitor of sustainability at indicator level.

Advancing Trustworthy AI for Sustainable Development: Recommendations for Standardising AI Incident Reporting Assessing whether artificial intelligence is an enabler or an inhibitor of sustainability at indicator level

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:41:32.322131Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 9763660a-e307-438a-8a41-264e76e555b4 · outbound

This paper cites A gender perspective on artificial intelligence and jobs: theviciouscycleofdigitalinequality.

Advancing Trustworthy AI for Sustainable Development: Recommendations for Standardising AI Incident Reporting A gender perspective on artificial intelligence and jobs: theviciouscycleofdigitalinequality

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:41:32.308835Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation c00e4372-a558-407d-8102-048db40c4936 · outbound

This paper cites OECD AI Principles overview.

Advancing Trustworthy AI for Sustainable Development: Recommendations for Standardising AI Incident Reporting OECD AI Principles overview

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:41:32.294601Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 427c9beb-a9d9-4042-9e53-3e0c169c0e8a · outbound

This paper cites Governing artificial intelligence to benefit the UN sustainable development goals.

Advancing Trustworthy AI for Sustainable Development: Recommendations for Standardising AI Incident Reporting Governing artificial intelligence to benefit the UN sustainable development goals

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:41:32.280373Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 0c45747f-b433-49dc-8d02-965839485984 · outbound

This paper cites A seven-layer model with checklists for standardising fairness assessment throughout the AI lifecycle.AI and Ethics, pages 1–16, 2023.

Advancing Trustworthy AI for Sustainable Development: Recommendations for Standardising AI Incident Reporting A seven-layer model with checklists for standardising fairness assessment throughout the AI lifecycle.AI and Ethics, pages 1–16, 2023

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:41:32.266549Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 704ab667-6f41-4d77-9c40-6dfca36c5ae1 · outbound

This paper cites The dynamics between voluntary safety reporting and commercial aviation accidents.

Advancing Trustworthy AI for Sustainable Development: Recommendations for Standardising AI Incident Reporting The dynamics between voluntary safety reporting and commercial aviation accidents

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:41:32.251834Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 6ce76a7f-497d-4aec-9604-7a4c2f099fb0 · outbound

This paper cites Identifying incident causal factors to improve aviation transportation safety: Proposing a deep learning approach.

Advancing Trustworthy AI for Sustainable Development: Recommendations for Standardising AI Incident Reporting Identifying incident causal factors to improve aviation transportation safety: Proposing a deep learning approach

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:41:32.238697Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation dc26846a-d228-4349-8ed0-4f07d6e617ab · outbound

This paper cites Defining the reporting threshold for a cybersecurity incident under the NIS Directive and the NIS 2 Directive.

Advancing Trustworthy AI for Sustainable Development: Recommendations for Standardising AI Incident Reporting Defining the reporting threshold for a cybersecurity incident under the NIS Directive and the NIS 2 Directive

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:41:32.223716Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 6196090b-e297-4864-a800-1069b601c7e5 · outbound

This paper cites Filling gaps in trustworthy development of AI.

Advancing Trustworthy AI for Sustainable Development: Recommendations for Standardising AI Incident Reporting Filling gaps in trustworthy development of AI

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:41:32.209899Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 5f53d7ca-664a-462e-8e62-9cbeedb13226 · outbound

This paper cites Stocktaking for the development of an AI incident definition.

Advancing Trustworthy AI for Sustainable Development: Recommendations for Standardising AI Incident Reporting Stocktaking for the development of an AI incident definition

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:41:32.197096Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 6e2c9d91-5933-4c46-be0d-ba8660dabdb8 · outbound

This paper cites AI Incident Database.

Advancing Trustworthy AI for Sustainable Development: Recommendations for Standardising AI Incident Reporting AI Incident Database

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:41:32.184157Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 86f149b0-3ebf-4290-9ebb-d9ff1a4dacfe · outbound

This paper cites AIAAIC Repository.

Advancing Trustworthy AI for Sustainable Development: Recommendations for Standardising AI Incident Reporting AIAAIC Repository

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:41:32.170886Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation e8269d9a-8a83-4211-a152-e4af42a1161c · outbound

This paper cites Risky artificial intelligence: The role of incidents in the path to AI regulation.Law, Technology and Humans, 5(1):133–152, 2023.

Advancing Trustworthy AI for Sustainable Development: Recommendations for Standardising AI Incident Reporting Risky artificial intelligence: The role of incidents in the path to AI regulation.Law, Technology and Humans, 5(1):133–152, 2023

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:41:32.157339Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation aebe955f-f122-480a-acd6-3e7a2f596447 · outbound

This paper cites Toward Trustworthy AI Development: Mechanisms for Supporting Verifiable Claims.

Advancing Trustworthy AI for Sustainable Development: Recommendations for Standardising AI Incident Reporting Toward Trustworthy AI Development: Mechanisms for Supporting Verifiable Claims

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-10T22:41:31.843121Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9dc1f8a1-ae55-4aac-85fc-4ee6d545f461 · outbound

This paper cites Trustworthy ai: Fromprinciplestopractices.

Advancing Trustworthy AI for Sustainable Development: Recommendations for Standardising AI Incident Reporting Trustworthy ai: Fromprinciplestopractices

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:41:32.142814Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation ae53c431-8c9e-4042-9c3b-c6b8ad5d8135 · outbound

This paper cites Why We Need to Know More: Exploring the State of AI Incident Documentation Practices.

Advancing Trustworthy AI for Sustainable Development: Recommendations for Standardising AI Incident Reporting Why We Need to Know More: Exploring the State of AI Incident Documentation Practices

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:41:32.129804Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation fa945429-febe-4584-8b46-8d756f30177c · outbound

This paper cites Preventing repeated real world AI failures by cataloging incidents: The AI incident database.

Advancing Trustworthy AI for Sustainable Development: Recommendations for Standardising AI Incident Reporting Preventing repeated real world AI failures by cataloging incidents: The AI incident database

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:41:32.116872Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation dc6cd563-29e6-4f1b-82f3-8f7e5cabc5c8 · outbound

This paper cites Artificial intelligence incidents & ethics a narrative review.

Advancing Trustworthy AI for Sustainable Development: Recommendations for Standardising AI Incident Reporting Artificial intelligence incidents & ethics a narrative review

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:41:32.103539Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 423e7aa7-48f9-4cee-b60a-c5149be0e849 · outbound

This paper cites AI Vulnerability Database.https://avidml .org/, 2024.

Advancing Trustworthy AI for Sustainable Development: Recommendations for Standardising AI Incident Reporting AI Vulnerability Database.https://avidml .org/, 2024

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:41:32.089856Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 16c74e26-f3ce-4a94-9ffc-c190fd0b7f07 · outbound

This paper cites AILitigationDatabase.

Advancing Trustworthy AI for Sustainable Development: Recommendations for Standardising AI Incident Reporting AILitigationDatabase

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:41:32.076356Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 8c90d72b-8d3a-451f-abdd-27b712f0f354 · outbound

This paper cites OECD AI Incidents Monitor.https://oecd .ai/en/incidents-methodology, 2024.

Advancing Trustworthy AI for Sustainable Development: Recommendations for Standardising AI Incident Reporting OECD AI Incidents Monitor.https://oecd .ai/en/incidents-methodology, 2024

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:41:32.061675Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 4f337029-485e-41f4-9f5a-15d29a362638 · outbound

This paper cites Addressing AI Risks in Critical Infrastructure: Formalising the AI Incident Reporting Process.

Advancing Trustworthy AI for Sustainable Development: Recommendations for Standardising AI Incident Reporting Addressing AI Risks in Critical Infrastructure: Formalising the AI Incident Reporting Process

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:41:32.046997Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 324aade2-2e99-4548-8db2-f7dd7ef93b9f · outbound

This paper cites AIAAIC incident id AIAAIC1449.https: //www.aiaaic.org/aiaaic-repository/ai-alg orithmic-and-automation-incidents/adobe-t rained-firefly-ai-model-on-competitor-ima ges, 2024.

Advancing Trustworthy AI for Sustainable Development: Recommendations for Standardising AI Incident Reporting AIAAIC incident id AIAAIC1449.https: //www.aiaaic.org/aiaaic-repository/ai-alg orithmic-and-automation-incidents/adobe-t rained-firefly-ai-model-on-competitor-ima ges, 2024

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:41:32.031766Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation ee4c9dba-6574-48f8-8274-b09987c4bc99 · outbound

This paper cites AIAAIC incident id AIAAIC1439.https: //www.aiaaic.org/aiaaic-repository/ai-a lgorithmic-and-automation-incidents/ope nai-scraped-youtube-to-train-gpt-4 , 2024.

Advancing Trustworthy AI for Sustainable Development: Recommendations for Standardising AI Incident Reporting AIAAIC incident id AIAAIC1439.https: //www.aiaaic.org/aiaaic-repository/ai-a lgorithmic-and-automation-incidents/ope nai-scraped-youtube-to-train-gpt-4 , 2024

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:41:32.015846Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 18c26a5c-de92-433e-add5-8e867eb39dc5 · outbound

This paper cites AIAAIC incident id AIAAIC1414.https: //www.aiaaic.org/aiaaic-repository/ai-alg orithmic-and-automation-incidents/leonard o-ai-generates-celebrity-non-consensual-p orn-images, 2024.

Advancing Trustworthy AI for Sustainable Development: Recommendations for Standardising AI Incident Reporting AIAAIC incident id AIAAIC1414.https: //www.aiaaic.org/aiaaic-repository/ai-alg orithmic-and-automation-incidents/leonard o-ai-generates-celebrity-non-consensual-p orn-images, 2024

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:41:32.000220Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation d506365a-4958-4f67-a8a3-06a3424f7e21 · outbound

This paper cites an unresolved cited work.

Advancing Trustworthy AI for Sustainable Development: Recommendations for Standardising AI Incident Reporting Unresolved cited work

Reference 31

Resolution: unresolved; raw_fallback, observed 2026-08-10T22:41:31.985660Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation f66de6b6-96f3-4930-b9e4-9a637b0aa91d · outbound

This paper cites an unresolved cited work.

Advancing Trustworthy AI for Sustainable Development: Recommendations for Standardising AI Incident Reporting Unresolved cited work

Reference 32

Resolution: unresolved; raw_fallback, observed 2026-08-10T22:41:31.970400Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation eb56a8df-eba7-4d8d-b66a-35fa942ba64f · outbound

This paper cites AIAAIC incident id AIAAIC1356.https: //www.aiaaic.org/aiaaic-repository/ai-alg orithmic-and-automation-incidents/chatgpt -goes-crazy-speaks-gibberish, 2024.

Advancing Trustworthy AI for Sustainable Development: Recommendations for Standardising AI Incident Reporting AIAAIC incident id AIAAIC1356.https: //www.aiaaic.org/aiaaic-repository/ai-alg orithmic-and-automation-incidents/chatgpt -goes-crazy-speaks-gibberish, 2024

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:41:31.955169Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Pith citing papers

No inbound Pith citation observations are available.