Paper Citation Record · LEDGER

Governing frontier general-purpose AI in the public sector: adaptive risk management and policy capacity under uncertainty through 2030

As of 10 August 2026, this Paper Citation Record lists 9 of 9 outbound references and 1 inbound Pith citation observation for arXiv:2604.06215.

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

pith.paper-citation-record.v1
2604.06215 v1

Coverage vector

measured 9 of 9 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-15T09:44:26.042285Z

measured 10 of 10 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T02:42:52.228193Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

9 of 9 outbound references displayed

verified exact0
verified fuzzy7
unresolved2
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b7734e96-dded-4191-9f2b-1c6628d67bb8 · outbound

This paper cites Bengio et al., International AI Safety Report 2026.

Governing frontier general-purpose AI in the public sector: adaptive risk management and policy capacity under uncertainty through 2030 Bengio et al., International AI Safety Report 2026

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T09:45:23.861208Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation de6c4cce-4f92-44ce-aa58-209973fa6cc6 · outbound

This paper cites Hobbs, D.

Governing frontier general-purpose AI in the public sector: adaptive risk management and policy capacity under uncertainty through 2030 Hobbs, D

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T09:45:23.873772Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation a6227dfc-710c-4dd6-bcbb-c774e2e41665 · outbound

This paper cites an unresolved cited work.

Governing frontier general-purpose AI in the public sector: adaptive risk management and policy capacity under uncertainty through 2030 Unresolved cited work

Reference 3

Resolution: unresolved; raw_fallback, observed 2026-05-15T09:45:23.855225Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation f6f6fd4b-1321-409e-8ca1-e3021539c5fe · outbound

This paper cites an unresolved cited work.

Governing frontier general-purpose AI in the public sector: adaptive risk management and policy capacity under uncertainty through 2030 Unresolved cited work

Reference 4

Resolution: unresolved; raw_fallback, observed 2026-05-15T09:45:23.858063Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation a0a785f6-e21d-4239-b787-27c7316a2f14 · outbound

This paper cites AI -augmented government transformation: Organisational transformation and the sociotechnical implications of artificial intelligence in public administrations.

Governing frontier general-purpose AI in the public sector: adaptive risk management and policy capacity under uncertainty through 2030 AI -augmented government transformation: Organisational transformation and the sociotechnical implications of artificial intelligence in public administrations

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T09:45:23.867829Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 1c2e66e6-ce46-42c7-a7aa-327090eaacd7 · outbound

This paper cites The evolution of theoretical contributions in digital government research: Insights from GIQ.

Governing frontier general-purpose AI in the public sector: adaptive risk management and policy capacity under uncertainty through 2030 The evolution of theoretical contributions in digital government research: Insights from GIQ

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T09:45:23.876472Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 005526bf-627b-4503-8970-f2fa3434fe8a · outbound

This paper cites Data collaboration in digital government research: A literature review and research agenda.

Governing frontier general-purpose AI in the public sector: adaptive risk management and policy capacity under uncertainty through 2030 Data collaboration in digital government research: A literature review and research agenda

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T09:45:23.864741Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation d253d63f-2ca4-428d-9654-57414bac47ad · outbound

This paper cites Organizing public sector AI adoption: Navigating between separation and integration.

Governing frontier general-purpose AI in the public sector: adaptive risk management and policy capacity under uncertainty through 2030 Organizing public sector AI adoption: Navigating between separation and integration

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T09:45:23.871027Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 0336a6b9-ebdd-43bb-88a8-fdb76d59eac7 · outbound

This paper cites E-government research: Reviewing the literature, limitations, and ways forward.

Governing frontier general-purpose AI in the public sector: adaptive risk management and policy capacity under uncertainty through 2030 E-government research: Reviewing the literature, limitations, and ways forward

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T09:45:23.852272Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Pith citing papers

Observation c1e1ebd9-f497-4256-90c6-b3e73a7ca612 · inbound

AI Deployment and Cyber Governance Failures in Public-Sector Organizations: A Typological Analysis cites this paper.

AI Deployment and Cyber Governance Failures in Public-Sector Organizations: A Typological Analysis Governing frontier general-purpose AI in the public sector: adaptive risk management and policy capacity under uncertainty through 2030

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-01T02:42:52.228193Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.