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Paper Citation Record · LEDGER

X-Risk Analysis for AI Research

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2206.05862.

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

pith.paper-citation-record.v1
2206.05862 v7

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 9 of 9 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:28:01.051898Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T08:07:45.450496Z

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 9f534c03-5115-4764-b4f2-8f1ad9c98b99 · inbound

Interpretability in the Wild: a Circuit for Indirect Object Identification in GPT-2 small cites this paper.

Interpretability in the Wild: a Circuit for Indirect Object Identification in GPT-2 small X-Risk Analysis for AI Research

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-05-13T17:13:51.482305Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-13T17:13:51.408311Z digest=sha256:026e1d5e1095da65aa67d2d1b22a5d5d8f071ea2e456b1368da78b8a41b4622e

Observation 103b5b22-d284-4b3f-b9c0-53f0002e19e9 · inbound

Ignore Previous Prompt: Attack Techniques For Language Models cites this paper.

Ignore Previous Prompt: Attack Techniques For Language Models X-Risk Analysis for AI Research

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-05-11T13:59:31.544138Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-11T13:59:31.213830Z digest=sha256:5ede8bc4248212b6f9f04924c72ae2590c0cc7bc4339c1820468278e331fdbc9

Observation 4985d374-2f0a-40a6-bbe0-c529e13c535d · inbound

An Overview of Catastrophic AI Risks cites this paper.

An Overview of Catastrophic AI Risks X-Risk Analysis for AI Research

Reference 102

Resolution
verified exact
arxiv_id, observed 2026-05-25T05:03:46.822237Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-25T05:03:46.615765Z digest=sha256:8a709c71e54a85e28e79f347b4d99ea822e28ea69fe3f378abde1f27fe6b33d7

Observation 3b423cd9-f4bc-4771-bfef-63de6dca0abb · inbound

LLM-Safety Evaluations Lack Robustness cites this paper.

LLM-Safety Evaluations Lack Robustness X-Risk Analysis for AI Research

Reference 27

Resolution
verified exact
arxiv_id, observed 2026-05-23T01:27:21.217977Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-23T01:26:45.402983Z digest=sha256:53184275cd54685f6cf0cb332346e5648e91b6f2ce1ebb8648badfa97462c8fd

Observation bec5cdc0-ee92-4958-b014-b4345c467e14 · inbound

From Directions to Cones: Exploring Multidimensional Representations of Propositional Facts in LLMs cites this paper.

From Directions to Cones: Exploring Multidimensional Representations of Propositional Facts in LLMs X-Risk Analysis for AI Research

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-07T13:28:01.051898Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:28:01.051898Z digest=sha256:f9fa1a1e478186ed2781fb8a63662a2cf67dbd76c6c537b63d057076550dccde

Observation 7c473b14-3971-45b1-a93f-99e6e27f6d27 · inbound

Mass-Scale Analysis of In-the-Wild Conversations Reveals Complexity Bounds on LLM Jailbreaking cites this paper.

Mass-Scale Analysis of In-the-Wild Conversations Reveals Complexity Bounds on LLM Jailbreaking X-Risk Analysis for AI Research

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-06T19:56:06.411529Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:56:06.411529Z digest=sha256:dc0434ee502295779c38eea046ac1906143bb548956edda5f1276a5eb73c7b29

Observation efac98cb-8dff-4469-9874-5a9cd2d33826 · inbound

Designing Incident Reporting Systems for Harms from General-Purpose AI cites this paper.

Designing Incident Reporting Systems for Harms from General-Purpose AI X-Risk Analysis for AI Research

Reference 9

Resolution
metadata mismatch
arxiv_id, observed 2026-05-18T00:20:32.301641Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-18T00:16:17.173186Z digest=sha256:ea2b243bba6a005756733d1d1bed54e93a443f59b1b25b7b5eb19ee9fc1b9492

Observation 6cbed3c3-de55-49e3-a9e6-55fe8d9a00d3 · inbound

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

Relative Principals, Pluralistic Alignment, and the Structural Value Alignment Problem X-Risk Analysis for AI Research

Reference 42

Resolution
verified exact
arxiv_id, observed 2026-05-09T23:04:17.717141Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-09T23:02:34.564375Z digest=sha256:db8174c1821f1fbc7890bdff535a2fbed8cb9a01bafb8d7363c2dc1e7cd3450e

Observation cafb87ec-a7d5-4378-a3d1-6b72c56bcaa8 · inbound

A Pigouvian Matchmaker Mechanism for De-escalating the AGI Race cites this paper.

A Pigouvian Matchmaker Mechanism for De-escalating the AGI Race X-Risk Analysis for AI Research

Reference 20

Resolution
verified exact
arxiv_id, observed 2026-07-03T08:07:45.452278Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-27T11:03:42.443180Z digest=sha256:8bd83b08965e53c4d939524cf567d4986232bee5e7888853eafa8c114bac49b6