Paper Citation Record · LEDGER

Concrete Problems in AI Safety, Revisited

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 inbound Pith citation observations for arXiv:2401.10899.

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

pith.paper-citation-record.v1
2401.10899 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 11 of 11 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T22:06:36.775510Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

6
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 51de6079-35b3-41b5-a620-d1109c8cf434 · inbound

AI Safety for Everyone cites this paper.

AI Safety for Everyone Concrete Problems in AI Safety, Revisited

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-07T22:06:36.775510Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5a5a82bc-8a7d-4109-b126-ca9d3ac66639 · inbound

Reality Check: A New Evaluation Ecosystem Is Necessary to Understand AI's Real World Effects cites this paper.

Reality Check: A New Evaluation Ecosystem Is Necessary to Understand AI's Real World Effects Concrete Problems in AI Safety, Revisited

Reference 76

Resolution: unresolved; no resolver link, observed 2026-08-07T14:26:35.092769Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d0cb4f03-05dc-40d2-a00e-804ee5ba10eb · inbound

Whose View of Safety? A Deep DIVE Dataset for Pluralistic Alignment of Text-to-Image Models cites this paper.

Whose View of Safety? A Deep DIVE Dataset for Pluralistic Alignment of Text-to-Image Models Concrete Problems in AI Safety, Revisited

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-06T17:08:18.165847Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d8688a60-a638-4c89-af83-fbee773dd5d8 · inbound

How Generative AI Empowers Attackers and Defenders Across the Trust & Safety Landscape cites this paper.

How Generative AI Empowers Attackers and Defenders Across the Trust & Safety Landscape Concrete Problems in AI Safety, Revisited

Reference 87

Resolution: verified exact; arxiv_id, observed 2026-05-17T23:10:26.059655Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 8b5a8fd3-9277-42c2-bc77-d68e147ec667 · inbound

Towards a Science of AI Agent Reliability cites this paper.

Towards a Science of AI Agent Reliability Concrete Problems in AI Safety, Revisited

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-02T22:32:00.250667Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7516e1e6-4a12-45be-9782-498026fe60c7 · inbound

Risk-Calibrated Learning: Minimizing Fatal Errors in Medical AI cites this paper.

Risk-Calibrated Learning: Minimizing Fatal Errors in Medical AI Concrete Problems in AI Safety, Revisited

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-05-11T10:31:04.134250Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation f74e9653-d0da-48ad-bbaf-1504d59a55f9 · inbound

Relative Principals, Pluralistic Alignment, and the Structural Value Alignment Problem cites this paper.

Relative Principals, Pluralistic Alignment, and the Structural Value Alignment Problem Concrete Problems in AI Safety, Revisited

Reference 66

Resolution: verified exact; arxiv_id, observed 2026-05-09T23:04:17.677773Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation d4d41205-c363-4b70-a1ef-97c45fef87e0 · inbound

Improving Model Safety by Targeted Error Correction cites this paper.

Improving Model Safety by Targeted Error Correction Concrete Problems in AI Safety, Revisited

Reference 27

Resolution: metadata mismatch; arxiv_id, observed 2026-05-09T06:35:39.257708Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 051ce61c-5b2e-4b0a-8b0a-cc76ed4ed26f · inbound

Proxy Reward Internalization and Mechanistic Exploitation: A Learned Precursor to Reward Hacking and Its Generalization cites this paper.

Proxy Reward Internalization and Mechanistic Exploitation: A Learned Precursor to Reward Hacking and Its Generalization Concrete Problems in AI Safety, Revisited

Reference 120

Resolution: verified exact; arxiv_id, observed 2026-06-27T16:31:02.716228Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 4d66a897-6f86-4597-ba8c-e0ec78d1dc5f · inbound

StepGuard: Guarding Web Navigation via Single-Step Calibration cites this paper.

StepGuard: Guarding Web Navigation via Single-Step Calibration Concrete Problems in AI Safety, Revisited

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-06-27T01:40:21.142756Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 00dbd72d-5658-49c8-a531-35ef19bbdbc9 · inbound

Unsafe at any AUC: Unlearned Lessons from Sociotechnical Disasters for Responsible AI cites this paper.

Unsafe at any AUC: Unlearned Lessons from Sociotechnical Disasters for Responsible AI Concrete Problems in AI Safety, Revisited

Reference 127

Resolution: unresolved; no resolver link, observed 2026-08-02T02:22:11.185558Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.