Paper Citation Record · LEDGER

Validity, Reliability, and Transparency in Artificial Intelligence Regulation

As of 14 August 2026, this Paper Citation Record lists 22 of 22 outbound references and 0 inbound Pith citation observations for arXiv:2608.05800.

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

pith.paper-citation-record.v1
2608.05800 v1

Coverage vector

measured 22 of 22 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T23:19:21.067131Z

measured 22 of 22 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+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

22 of 22 outbound references displayed

verified exact5
verified fuzzy1
unresolved15
parse uncertain0
malformed identifier1
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b389b6ce-bf0f-46f6-8657-895828e3af5f · outbound

This paper cites URLhttps://doi.org/10.1111/phc3.

Validity, Reliability, and Transparency in Artificial Intelligence Regulation URLhttps://doi.org/10.1111/phc3

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T23:19:20.993125Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e23fc1af-dc43-45bf-9af1-cfbda159040e · outbound

This paper cites an unresolved cited work.

Validity, Reliability, and Transparency in Artificial Intelligence Regulation Unresolved cited work

Reference 8

Resolution: verified exact; arxiv_id_nonexistent, observed 2026-08-07T23:19:21.881314Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation a7facbfb-99fe-4659-80cd-0dc8418b6c67 · outbound

This paper cites Equality of Opportunity in Supervised Learning.

Validity, Reliability, and Transparency in Artificial Intelligence Regulation Equality of Opportunity in Supervised Learning

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T23:19:21.005375Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d4453f8c-2323-450a-bd12-e832245ceae6 · outbound

This paper cites URLhttps://doi.org/10.1145/3442188.3445901.

Validity, Reliability, and Transparency in Artificial Intelligence Regulation URLhttps://doi.org/10.1145/3442188.3445901

Reference 10

Resolution: verified exact; arxiv_id_nonexistent, observed 2026-08-07T23:19:21.526084Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 73eecfd0-3c50-4068-a8d9-14f8d46d60ca · outbound

This paper cites doi: 10.1017/CBO9781139025751.

Validity, Reliability, and Transparency in Artificial Intelligence Regulation doi: 10.1017/CBO9781139025751

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T23:19:21.015080Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c70f7ea8-e878-4417-ad53-05c5770c0167 · outbound

This paper cites URLhttps://doi.org/10.1177/2053951716631130.

Validity, Reliability, and Transparency in Artificial Intelligence Regulation URLhttps://doi.org/10.1177/2053951716631130

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T23:19:21.023406Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cb44b28c-7661-429e-adfa-ab29fdeb6f70 · outbound

This paper cites Inherent Trade-Offs in the Fair Determination of Risk Scores.

Validity, Reliability, and Transparency in Artificial Intelligence Regulation Inherent Trade-Offs in the Fair Determination of Risk Scores

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T23:19:21.028832Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9b342d4a-0ec8-4924-9cf9-60c57e838156 · outbound

This paper cites Holistic Evaluation of Language Models.

Validity, Reliability, and Transparency in Artificial Intelligence Regulation Holistic Evaluation of Language Models

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T23:19:21.033326Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 59b928a4-bdb2-4ca1-ae40-ab33406053ce · outbound

This paper cites Can You Trust Your Model's Uncertainty? Evaluating Predictive Uncertainty Under Dataset Shift.

Validity, Reliability, and Transparency in Artificial Intelligence Regulation Can You Trust Your Model's Uncertainty? Evaluating Predictive Uncertainty Under Dataset Shift

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-07T23:19:21.049525Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f278675e-8ce4-4fd9-8ef9-d2c4790afede · outbound

This paper cites doi: 10.18653/v1/P19-1163.

Validity, Reliability, and Transparency in Artificial Intelligence Regulation doi: 10.18653/v1/P19-1163

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T23:19:21.058159Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bbe21b6d-af43-40f0-9e06-4aa5e7e7e6f1 · outbound

This paper cites URLhttps://doi.org/10.1145/3287560.3287598.

Validity, Reliability, and Transparency in Artificial Intelligence Regulation URLhttps://doi.org/10.1145/3287560.3287598

Reference 21

Resolution: verified exact; arxiv_id_nonexistent, observed 2026-08-07T23:19:21.318322Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation b048137e-f985-44d5-b51d-e0f2ac4249ef · outbound

This paper cites Wachter and B.

Validity, Reliability, and Transparency in Artificial Intelligence Regulation Wachter and B

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T23:19:21.922707Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation ead829a0-08f3-4ff7-b9dc-eafd20e4cb6d · outbound

This paper cites Towards A Rigorous Science of Interpretable Machine Learning.

Validity, Reliability, and Transparency in Artificial Intelligence Regulation Towards A Rigorous Science of Interpretable Machine Learning

Reference 1955

Resolution: unresolved; no resolver link, observed 2026-08-07T23:19:20.974344Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c4f18817-bf84-4290-a993-3c8625f80b46 · outbound

This paper cites ACM record for the MIT Press volume.

Validity, Reliability, and Transparency in Artificial Intelligence Regulation ACM record for the MIT Press volume

Reference 2009

Resolution: verified exact; doi, observed 2026-08-07T23:19:21.107282Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 49d170a0-240f-455b-bf26-1e8252e79a4c · outbound

This paper cites Explaining and Harnessing Adversarial Examples.

Validity, Reliability, and Transparency in Artificial Intelligence Regulation Explaining and Harnessing Adversarial Examples

Reference 2015

Resolution: unresolved; no resolver link, observed 2026-08-07T23:19:20.988585Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f8e9639b-7c89-48f2-b6b4-b7ffc4b86f73 · outbound

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

Validity, Reliability, and Transparency in Artificial Intelligence Regulation On the Opportunities and Risks of Foundation Models

Reference 2016

Resolution: unresolved; no resolver link, observed 2026-08-07T23:19:20.965373Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2fb68a8f-0de0-4944-a4b8-f159cc16ccc9 · outbound

This paper cites an unresolved cited work.

Validity, Reliability, and Transparency in Artificial Intelligence Regulation Unresolved cited work

Reference 2017

Resolution: unresolved; raw_fallback, observed 2026-08-07T23:19:21.947381Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation e84f3abf-e538-42a7-9cf6-3778ac2578f8 · outbound

This paper cites an unresolved cited work.

Validity, Reliability, and Transparency in Artificial Intelligence Regulation Unresolved cited work

Reference 2019

Resolution: unresolved; no resolver link, observed 2026-08-07T23:19:21.045030Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation de774e3f-7664-49ad-8b55-fd32d97fa6e9 · outbound

This paper cites an unresolved cited work.

Validity, Reliability, and Transparency in Artificial Intelligence Regulation Unresolved cited work

Reference 2021

Resolution: unresolved; raw_fallback, observed 2026-08-07T23:19:21.959793Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 89cb6b10-d8d3-4430-a55b-5e4655f50536 · outbound

This paper cites Capabilities of GPT-4 on Medical Challenge Problems.

Validity, Reliability, and Transparency in Artificial Intelligence Regulation Capabilities of GPT-4 on Medical Challenge Problems

Reference 2022

Resolution: malformed identifier; no resolver link, observed 2026-08-07T23:19:21.039092Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e13d6697-7836-4e6a-a9e6-15119ec0d48f · outbound

This paper cites URLhttps://doi.org/10.1080/ 08982112.2022.2089854.

Validity, Reliability, and Transparency in Artificial Intelligence Regulation URLhttps://doi.org/10.1080/ 08982112.2022.2089854

Reference 2023

Resolution: verified exact; arxiv_id_nonexistent, observed 2026-08-07T23:19:21.703775Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation ecf65f51-cce8-4fc5-95f6-91da9d23d3fe · outbound

This paper cites an unresolved cited work.

Validity, Reliability, and Transparency in Artificial Intelligence Regulation Unresolved cited work

Reference 2024

Resolution: unresolved; raw_fallback, observed 2026-08-07T23:19:21.934660Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Pith citing papers

No inbound Pith citation observations are available.