Paper Citation Record · LEDGER

Compliance of AI Systems

As of 17 August 2026, this Paper Citation Record lists 27 of 27 outbound references and 2 inbound Pith citation observations for arXiv:2503.05571.

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

pith.paper-citation-record.v1
2503.05571 v2

Coverage vector

measured 27 of 27 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-23T01:00:18.977777Z

measured 29 of 29 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 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:35:56.073124Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-15T20:35:56.136176Z

Reference resolution

27 of 27 outbound references displayed

verified exact18
verified fuzzy6
unresolved1
parse uncertain0
malformed identifier1
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 6d8a3b85-d0ad-42c3-b3ae-f1e8fc8d3932 · outbound

This paper cites Artificial intelligence (ai) in agriculture.

Compliance of AI Systems Artificial intelligence (ai) in agriculture

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-05-23T01:02:20.057580Z

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.

Observation e3d1145d-12c3-46af-8fde-a74625bf0bd8 · outbound

This paper cites Ai-based crop rotation for sus- tainable agriculture worldwide.

Compliance of AI Systems Ai-based crop rotation for sus- tainable agriculture worldwide

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-05-23T01:02:20.111187Z

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.

Observation b80f188f-aa2c-4a23-8850-19164c4ba9d8 · outbound

This paper cites Safe and trustful ai for closed-loop control systems.

Compliance of AI Systems Safe and trustful ai for closed-loop control systems

Reference 3

Resolution: verified exact; doi, observed 2026-05-23T01:02:20.043870Z

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.

Observation 09644e6c-ab5b-4618-81e8-2325905cbe41 · outbound

This paper cites Overview of closed-loop control systems and artificial intelligence utilization in greenhouse farming.

Compliance of AI Systems Overview of closed-loop control systems and artificial intelligence utilization in greenhouse farming

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-05-23T01:02:20.069948Z

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.

Observation f9e48fe5-5ae2-47a3-a7a4-44cb57b94e84 · outbound

This paper cites Ava: An automated and ai-driven intelligent visual analytics framework.

Compliance of AI Systems Ava: An automated and ai-driven intelligent visual analytics framework

Reference 5

Resolution: verified exact; doi, observed 2026-05-23T01:02:20.121446Z

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.

Observation 8c5c8c43-27da-4809-819e-f541924d417f · outbound

This paper cites Visual analytics for video applications.

Compliance of AI Systems Visual analytics for video applications

Reference 6

Resolution: verified exact; doi, observed 2026-05-23T01:02:20.131674Z

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.

Observation b8fe687d-3d26-42f5-b9b1-3fbee9969ac6 · outbound

This paper cites Explainable ai for safe and trustworthy autonomous driving: A systematic review.

Compliance of AI Systems Explainable ai for safe and trustworthy autonomous driving: A systematic review

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-23T01:02:20.064236Z

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.

Observation b99f5fa8-de4d-4246-a231-f4ac5afe762b · outbound

This paper cites A review of artificial intelligence applications in high-speed railway systems.

Compliance of AI Systems A review of artificial intelligence applications in high-speed railway systems

Reference 8

Resolution: verified exact; doi, observed 2026-05-23T01:02:20.099969Z

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.

Observation 81a933bf-90b5-4fb3-b9d8-adf6e0fbba6b · outbound

This paper cites A framework for the implementa- tion of artificial intelligence in business enterprises: A readiness model.

Compliance of AI Systems A framework for the implementa- tion of artificial intelligence in business enterprises: A readiness model

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-05-23T01:02:20.078997Z

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.

Observation a303b0c0-32c9-4845-bbfa-d377a5564c99 · outbound

This paper cites Drivers Behind the Public Perception of Artificial Intelligence: Insights from Major Australian Cities.

Compliance of AI Systems Drivers Behind the Public Perception of Artificial Intelligence: Insights from Major Australian Cities

Reference 10

Resolution: malformed identifier; doi_truncated, observed 2026-05-23T01:02:20.104915Z

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.

Observation c4e6094d-d581-4358-82c2-f09e7ce27571 · outbound

This paper cites Managing ai-first products: Roles, skills, challenges, and strategies of ai product managers.

Compliance of AI Systems Managing ai-first products: Roles, skills, challenges, and strategies of ai product managers

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-05-23T01:02:20.117616Z

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.

Observation 3bedd2a5-ec99-4be2-b5c1-c0260724401c · outbound

This paper cites Artificial intelligence and the ‘good society’: the us, eu, and uk approach.

Compliance of AI Systems Artificial intelligence and the ‘good society’: the us, eu, and uk approach

Reference 12

Resolution: verified exact; doi, observed 2026-05-23T01:02:20.095535Z

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.

Observation 141e7ce5-a3c1-4e37-93fc-20715eeb6c1f · outbound

This paper cites In ai we trust incrementally: a multi-layer model of trust to analyze human-artificial intelligence interactions.

Compliance of AI Systems In ai we trust incrementally: a multi-layer model of trust to analyze human-artificial intelligence interactions

Reference 13

Resolution: verified exact; doi, observed 2026-05-23T01:02:20.136070Z

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.

Observation bb0eafd7-890d-4f51-b22a-11a7f0784f41 · outbound

This paper cites Bayesian neural networks uncertainty quantification with cubature rules.

Compliance of AI Systems Bayesian neural networks uncertainty quantification with cubature rules

Reference 14

Resolution: metadata mismatch; arxiv_id, observed 2026-05-23T01:02:20.051262Z

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.

Observation 5626c77f-cbc5-4afe-a20a-7adf53959302 · outbound

This paper cites (2020) White paper on artificial intelligence: A european approach to excellence and trust.

Compliance of AI Systems (2020) White paper on artificial intelligence: A european approach to excellence and trust

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T01:02:21.371448Z

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.

Observation eed33278-1fa6-4237-8c6a-d21a6f20e901 · outbound

This paper cites Argumentative xai: A survey.

Compliance of AI Systems Argumentative xai: A survey

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T01:02:21.363371Z

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.

Observation 04725381-2a2d-4433-a39a-b5df0e0fc0a0 · outbound

This paper cites Ai-in-the-loop – the impact of hmi in ai-based application.

Compliance of AI Systems Ai-in-the-loop – the impact of hmi in ai-based application

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T01:02:21.367258Z

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.

Observation 5ab4533b-dc5b-4582-9b90-56bba2bd7a93 · outbound

This paper cites van Veen and S.

Compliance of AI Systems van Veen and S

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T01:02:21.359426Z

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.

Observation 31988b97-e27e-4077-bbcc-4ccac56b7579 · outbound

This paper cites A survey of safety and trustwor- thiness of deep neural networks: V eriﬁcation, testing, adv ersarial attack and defence, and interpretability.

Compliance of AI Systems A survey of safety and trustwor- thiness of deep neural networks: V eriﬁcation, testing, adv ersarial attack and defence, and interpretability

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-05-23T01:02:20.085508Z

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.

Observation 7042ae4b-bbf6-4209-b882-b49b8bbf3b9f · outbound

This paper cites Adversarial attacks on deep neural networks for time series classifica- tion.

Compliance of AI Systems Adversarial attacks on deep neural networks for time series classifica- tion

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-05-23T01:02:20.091134Z

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.

Observation 9ee2a629-48e6-49fe-b5cd-11633fcfd35e · outbound

This paper cites Explainable and trustworthy ai compli- ance for farms.

Compliance of AI Systems Explainable and trustworthy ai compli- ance for farms

Reference 21

Resolution: verified exact; doi, observed 2026-05-23T01:02:20.140397Z

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.

Observation 9b9631a3-b75a-42c2-90a5-cbc6a12f7ec4 · outbound

This paper cites Explainable Artificial Intelligence (XAI): Concepts, Taxonomies, Opportunities and Challenges toward Responsible AI.

Compliance of AI Systems Explainable Artificial Intelligence (XAI): Concepts, Taxonomies, Opportunities and Challenges toward Responsible AI

Reference 22

Resolution: verified exact; doi, observed 2026-05-23T01:02:20.146206Z

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.

Observation 4248703d-5540-4acd-8a85-2ff6dc3be2a9 · outbound

This paper cites Hardin, Trust and trustworthiness , ser.

Compliance of AI Systems Hardin, Trust and trustworthiness , ser

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T01:02:21.383950Z

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.

Observation bd47c963-9441-4e58-89ed-bc2f8fa03f0a · outbound

This paper cites an unresolved cited work.

Compliance of AI Systems Unresolved cited work

Reference 24

Resolution: unresolved; raw_fallback, observed 2026-05-23T01:02:21.375686Z

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.

Observation 28ed95b8-c6e2-460a-8a02-be88272aa31a · outbound

This paper cites Legal conform data sets for yard tractors and robots.

Compliance of AI Systems Legal conform data sets for yard tractors and robots

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-05-23T01:02:20.127309Z

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.

Observation d1467331-eb1e-4cd6-a164-de7579ef8914 · outbound

This paper cites Compliance of agricultural ai systems – app-based legal verification throughout the development.

Compliance of AI Systems Compliance of agricultural ai systems – app-based legal verification throughout the development

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T01:02:21.379851Z

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.

Observation 5a0a898f-17da-4400-9505-7577d5784e6f · outbound

This paper cites doi: 10.18420/giljt2024 01.

Compliance of AI Systems doi: 10.18420/giljt2024 01

Reference 27

Resolution: verified exact; doi, observed 2026-05-23T01:02:20.073549Z

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.

Pith citing papers

Observation 6e64f302-8e08-4e9d-8d5b-42c77da448da · inbound

Improving Google A2A Protocol: Protecting Sensitive Data and Mitigating Unintended Harms in Multi-Agent Systems cites this paper.

Improving Google A2A Protocol: Protecting Sensitive Data and Mitigating Unintended Harms in Multi-Agent Systems Compliance of AI Systems

Reference 63

Resolution: verified exact; local_arxiv, observed 2026-08-15T20:35:56.142201Z

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.

Observation 0b4d3b15-e990-4f9c-9ebe-f298b2530754 · inbound

PASTA: A Scalable Framework for Multi-Policy AI Compliance Evaluation cites this paper.

PASTA: A Scalable Framework for Multi-Policy AI Compliance Evaluation Compliance of AI Systems

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-03T10:03:09.202176Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.