Pith. sign in

Paper Citation Record · LEDGER

AI Emergency Preparedness: Examining the federal government's ability to detect and respond to AI-related national security threats

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2407.17347.

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

pith.paper-citation-record.v1
2407.17347 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:30:47.244298Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T00:22:51.583241Z

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 8b1d73e3-3727-403d-b5f7-cce5d1be1328 · inbound

Bare Minimum Mitigations for Autonomous AI Development cites this paper.

Bare Minimum Mitigations for Autonomous AI Development AI Emergency Preparedness: Examining the federal government's ability to detect and respond to AI-related national security threats

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-16T11:30:47.244298Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T11:30:47.244298Z digest=sha256:346b74bc02c438e45871d8deb16652b8129ec60f73c81d7c5a79f0c0940270ff

Observation 1a225661-5ea0-4f5e-9966-d296ca2dfd89 · inbound

AI Loss of Control Incident Management: Response & Resilience cites this paper.

AI Loss of Control Incident Management: Response & Resilience AI Emergency Preparedness: Examining the federal government's ability to detect and respond to AI-related national security threats

Reference 17

Resolution
verified exact
arxiv_id, observed 2026-06-29T00:22:51.584862Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-06-29T00:16:00.630630Z digest=sha256:87a5a7106a6aa08e42a43ae372c4f40bcc7d7d868370045b744ed238c3daec28