Paper Citation Record · LEDGER

Managing extreme AI risks amid rapid progress

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2310.17688.

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

pith.paper-citation-record.v1
2310.17688 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 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 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T19:15:54.703346Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-21T20:54:21.566072Z

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 6df791a2-70c5-44fa-a2dc-c956e23ccce8 · inbound

You Are What You Eat -- AI Alignment Requires Understanding How Data Shapes Structure and Generalisation cites this paper.

You Are What You Eat -- AI Alignment Requires Understanding How Data Shapes Structure and Generalisation Managing extreme AI risks amid rapid progress

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-08T19:15:54.703346Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 637325bf-e9f5-47a2-bda8-1809e08167b7 · inbound

From nuclear safety to LLM security: Applying non-probabilistic risk management strategies to build safe and secure LLM-powered systems cites this paper.

From nuclear safety to LLM security: Applying non-probabilistic risk management strategies to build safe and secure LLM-powered systems Managing extreme AI risks amid rapid progress

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T15:35:47.817622Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 118885e2-2350-4897-8b17-471190033f2b · inbound

Red-Bandit: Test-Time Adaptation for LLM Red-Teaming via Bandit-Guided LoRA Experts cites this paper.

Red-Bandit: Test-Time Adaptation for LLM Red-Teaming via Bandit-Guided LoRA Experts Managing extreme AI risks amid rapid progress

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-05-21T20:54:21.567987Z

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 54eb23d0-d9fa-4f13-9709-8c3b56151020 · inbound

Relative Value Learning cites this paper.

Relative Value Learning Managing extreme AI risks amid rapid progress

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-01T08:32:00.201622Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.