Paper Citation Record · LEDGER

Adapting Probabilistic Risk Assessment for AI

As of 19 August 2026, this Paper Citation Record lists 5 of 5 outbound references and 0 inbound Pith citation observations for arXiv:2504.18536.

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

pith.paper-citation-record.v1
2504.18536 v3

Coverage vector

measured 5 of 5 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T10:17:04.892392Z

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+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

5 of 5 outbound references displayed

verified exact0
verified fuzzy1
unresolved3
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation dc87c7b7-22f7-4543-8577-409401bec7d4 · outbound

This paper cites Keep the Future Human: Why and How We Should Close the Gates to AGI and Superintelligence, and What We Should Build Instead.

Adapting Probabilistic Risk Assessment for AI Keep the Future Human: Why and How We Should Close the Gates to AGI and Superintelligence, and What We Should Build Instead

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-16T10:17:04.873759Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b58b28e1-898d-44f0-9b0e-95941b9aad73 · outbound

This paper cites G., Parhizkar, T., Gomola, A., Utne, I.

Adapting Probabilistic Risk Assessment for AI G., Parhizkar, T., Gomola, A., Utne, I

Reference 132

Resolution: metadata mismatch; raw_fallback, observed 2026-08-16T10:17:05.026130Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation c495d976-4365-4bf8-b6cf-fcaa51efe02a · outbound

This paper cites Deployment Corrections: An incident response framework for frontier AI models.

Adapting Probabilistic Risk Assessment for AI Deployment Corrections: An incident response framework for frontier AI models

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-16T10:17:04.892392Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 87182205-dd2d-4190-a7b1-69241ee7d7e3 · outbound

This paper cites (2024, May).

Adapting Probabilistic Risk Assessment for AI (2024, May)

Reference 2023

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:17:05.039129Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation fd2fb37f-06bb-4e36-ba3d-76a5d8f6cf7c · outbound

This paper cites Large Language Models Can Self-Improve.

Adapting Probabilistic Risk Assessment for AI Large Language Models Can Self-Improve

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-16T10:17:04.882924Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.