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Paper Citation Record · LEDGER

Saltzer & Schroeder for 2030: Security engineering principles in a world of AI

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2407.05710.

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

pith.paper-citation-record.v1
2407.05710 v1

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 2026-08-16T06:30:59.297886+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T14:21:42.374359Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-19T16:37:40.100754Z

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 27342d11-b558-4832-8fcb-4d78ddd4f322 · inbound

Do Coding Agents Understand Least-Privilege Authorization? cites this paper.

Do Coding Agents Understand Least-Privilege Authorization? Saltzer & Schroeder for 2030: Security engineering principles in a world of AI

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-05-19T16:37:40.102535Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-19T16:34:14.379419Z digest=sha256:4c27d30d00cdeafcb70aac0e1f4fa40a62972c17a699011718abb865d52b6b58

Observation b5cef070-7067-4065-bab4-b7de93fae92f · inbound

On Understanding, Identifying, and Mitigating Vulnerabilities in Agentic Large Language Models cites this paper.

On Understanding, Identifying, and Mitigating Vulnerabilities in Agentic Large Language Models Saltzer & Schroeder for 2030: Security engineering principles in a world of AI

Reference 98

Resolution
unresolved
no resolver link, observed 2026-08-15T14:21:42.374359Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T14:21:42.374359Z digest=sha256:37e53f5dd32e5eeaaeeb59a1e90cb918fd0dfb6341c68a3029310cfac3453429