Paper Citation Record · LEDGER

On the Impossible Safety of Large AI Models

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2209.15259.

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

pith.paper-citation-record.v1
2209.15259 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T16:00:17.903110Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-18T14:01:27.194644Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 24941770-a242-40d1-ae72-fccd3617302a · inbound

Jailbroken: How Does LLM Safety Training Fail? cites this paper.

Jailbroken: How Does LLM Safety Training Fail? On the Impossible Safety of Large AI Models

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-05-14T18:17:42.922252Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation a31ef252-a2d2-4486-be5b-59055beff45d · inbound

Generative AI in Medicine cites this paper.

Generative AI in Medicine On the Impossible Safety of Large AI Models

Reference 163

Resolution: unresolved; no resolver link, observed 2026-08-11T16:00:17.903110Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6389a4ba-1aab-447c-aecd-8f5e8d152870 · inbound

AI Governance through Markets cites this paper.

AI Governance through Markets On the Impossible Safety of Large AI Models

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-10T04:36:43.897182Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1920c3fb-64cd-48e4-be5a-35131b0b3dc2 · inbound

`Do as I say not as I do': A Semi-Automated Approach for Jailbreak Prompt Attack against Multimodal LLMs cites this paper.

`Do as I say not as I do': A Semi-Automated Approach for Jailbreak Prompt Attack against Multimodal LLMs On the Impossible Safety of Large AI Models

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-09T17:58:57.471908Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cc8431dd-bdea-4686-9dd4-47438cfd8ffc · inbound

A Case for Specialisation in Non-Human Entities cites this paper.

A Case for Specialisation in Non-Human Entities On the Impossible Safety of Large AI Models

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-09T04:27:01.833734Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 27a92922-9afe-4233-8bee-adfea636cfb1 · 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 On the Impossible Safety of Large AI Models

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-07T14:26:34.961038Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0bd26e99-55f0-4cbf-98bf-41741bd4cc82 · inbound

High-probability zeroth-order online convex optimisation beyond Euclidean geometry cites this paper.

High-probability zeroth-order online convex optimisation beyond Euclidean geometry On the Impossible Safety of Large AI Models

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-05-18T14:01:27.198517Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation dee34fde-45f4-4904-84c2-55bd0b5e7874 · inbound

More Edits, More Stable: Understanding the Lifelong Normalization in Sequential Model Editing cites this paper.

More Edits, More Stable: Understanding the Lifelong Normalization in Sequential Model Editing On the Impossible Safety of Large AI Models

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-02T14:21:01.963520Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.